I was getting a little bored of retrocomputing discourse being so centered on gaming, so I'm exploring the productivity software of the 8/16-bit era. I put real effort into learning and using the programs, giving my light-hearted but heartfelt assessment of its form and function for both its time and today.
Using the software inevitably gets me thinking about other things, and I explore those threads as well. For example, "Superbase on the C64" also discusses the legacy and promise of "the paperless office." A couple of other posts got some nice traction here on HN, notably "Deluxe Paint on the Amiga" and "VisiCalc on the Apple 2".
I'm hoping to build a strong monthly readership, so I'm putting in the work. It's been up for two months and five posts now, with a new one coming at the end of this week.
The interface is optimized to let you quickly explore and tweak multiple tints/shades at once so you can customize all colors exactly how you want e.g. try dragging vertically through the saturation curve in one motion to edit all the tints/shades at once, or shift whole curves horizontally by dragging between the dots on a curve.
It uses the HSLuv color space, where (unlike say HSL) the WCAG contrast stays the same when you change the hue and saturation sliders. This makes it much easier to explore accessible colors choices as you know only changes to the lightness slider will impact the contrast. You can also switch from the WCAG2 contrast checker to using APCA, which is meant to correct for inaccuracies in WCAG2, such as it being too forgiving for dark mode color combos.
Note the mobile version is more of a preview and the desktop version has more features.
I probably need to add something like a tutorial as there's a lot going on, but I've added more hints and tooltips recently. Open to feedback on what's initially confusing and what changes might help!
Currently working on a take on Pokémon GO + Pokémon Snap but for birding. The goal is to explore your neighborhood, find birds, take good photos of them all. Next month, I'll be doing an event to find a rare bird, excited to see how it goes!
I think by this point everyone that is learning a language knows that immersion is very important, however a problem I've had myself is that the content that interests me is beyond my reach, and the content that is within reach doesn't interest me.
This is my attempt at doing something to remediate that. You select the content you want, and I create a personalized study plan to learn the most important words to achieve a target % of understanding. Then I generate a short story each week for your particular level containing the new words in the context of your content.
The idea is to bring the content you want to learn to your level so you can watch what you want to watch.
I'm making Easel, a 2D game programming language designed to match how humans, not computers, think about game logic. It also has automatic multiplayer. I've been working on it for 3 years!
Easel feels like a declarative programming language even though it is imperative, because lots of useful game-oriented features are first class. Like behaviours - you just say `on Pointer { ... }` and you have a concurrently-executing coroutine that's lifetime is managed. But you don't think about any of that complexity, you just think of your entity as having a behaviour and go forth and make your game.
It also happens to have automatic multiplayer. Normally with multiplayer you have to worry about doing everything in a "multiplayer safe" way (i.e. be deterministic and only modify the things your side has authority over). My idea was to put all the multiplayer stuff in the programming language itself, underneath all your lines of code. This way, anything you write in that programming language can just be made multiplayer, automatically. So you can just pretend all your players are in one shared world, like a singleplayer game, and the engine does all the multiplayer for you. It was really difficult to make but it makes multiplayer so easy for you now.
Easel is my idea of how games should be made, or at least as close to the idea as I can achieve with 3 years of work, and I would love for more people to try it out.
I've been working on a 3D voxel-based game engine for like 10 years in my spare time. At this point it's getting pretty close to being shadertoy for voxels.
I also wrote a metaprogramming language which generates a lot of the editor UI for the engine. It's a bespoke C parser that supports a small subset of C++, which is exposed to the user through a 'scripting-like' language you embed directly in your source files. I wrote it as a replacement for C++ templates and in my completely unbiased opinion it is WAY better.
It's an explorable database of films, TV shows, books and board games based around their historical setting: where and when the thing is set. It's been incredibly complex and interesting getting the (messy) data, making sense of it and trying to design a UI to explore it.
I’ve been working on https://canine.sh which is a free, open source Heroku alternative for 2 years now.
It’s exactly the product I wish I had when I started my previous company. Running on PaaS is incredible for devex but the pricing is bonkers, and the vendor lock in makes it really hard to deal with annual price increases. We spent close to 400k / year for just 128GB combined fleet in our last startup on Heroku.
Canine tries to get the best of both worlds: developer friendly PaaS with no lockin or price gouging.
Just added build packs as a build option recently.
Also got a sponsorship from the portainer folks which lets me work on this close to full time
Hoping this saves someone the headache I had two years ago.
We have been building https://finbodhi.com/ a local-first browser app (PWA) for personal finance, based on double-entry accounting.
FinBodhi uses double entry so complicated set of transactions and accounts can be modeled (which happen often enough in users financial journey). We wrote about double-entry here: https://finbodhi.com/docs/understanding-double-entry
We do use online services like firebase for auth, and some service to fetch commodity prices etc. But all your financial data is on your system (we use sqlite over opfs, in browser). For synching across devices, that data is encrypted with your key before it leaves your device. You can backup the data locally (if you are using chrome) and/or to your dropbox. It's designed so that we (the people building it) can't access your data.
There are many more features, like multi-currency, visualizations, a sheet to use your data to do complex calculations like taxes, planning for your future etc.
Feel free to try it out with the demo account (no sign-in required). Note: app doesn't work in Firefox private mode.
A few of my recent favorites:
- swim lap counter in html/JS that uses the camera to watch you swim and count laps/timing
- video recorder that records your window/desktop and uploads a file to S3
- video conferencing app that allows a 2 year to click on a family member face and initiates a video conference using webRTC, STUN, and browser audio/video capture with automatic bandwidth adjustments (works on all platforms with pure HTML/JS).
- CUDA based ray tracer with HTML UI that can trace over 2m rays per second on my laptop for scientific study, allowing real-time display of optical parts.
- chat front-end for image models like gemini-pro and openai that take other images and text as references and generate a big library of options to chose from in seconds, I've been using photoshop for decades but I tend to use this more now.
It's very interesting because the Ruby codebase uses a `typedef uintptr_t VALUE` type to mean any of the following:
- A pointer to the heap
- A Ruby tagged value (which may be a pointer to the heap)
- Any integer value that fits in `uintptr_t`
Fil-C doesn't allow you to carry around pointers using integers, in the sense that when you do that, the pointers lose their capabilities.
But in Ruby's case, it's not as simple as changing the typedef to a pointer type, since `VALUE` variables often end up being used for integer math (including bit math, shifts, etc).
So, it's going to take a nontrivial patch to Ruby to get it to work in Fil-C. I think I'm about 70% of the way through (I started Friday afternoon).
After ChatGPT Atlas came out I thought it would be fun to find UI patterns that AI browsers couldn't figure out like multiple download buttons, hidden unsubscribe buttons, etc. So I created 7 levels of web dark patterns for AI browsers. You can try it yourself if you want:
I found Atlas can get through most patterns, so I created an even more unhinged one (job application form) that shifts the interface and flashes content.
Don't take it too seriously as actually testing AI browsers, it just a fun side project. I documented the patterns here: https://codinhood.com/anti-ai-ui/about
I'm working on a local multiplayer party game platform, a lovechild of Jackbox Games and Mario Party: https://gamingcouch.com. We just won silver at the Big Indie Pitch competition!
- Currently in free Early Access with 18 competitive mini-games.
- Players use their mobile phones as controllers (you can use game pads as well!)
- Everything is completely web-based, no downloads or installs necessary to play
- The games are all action based, with quick ~one minute rounds to keep a good pace. This means there are no language based trivia games!
- In the future we plan to open up the platform for 3rd party developers as well. We take care of the network connectivity, controllers etc.. 3rd party devs can focus on developing cool multiplayer mini-games without spending an eternity with networking coded and infrastructure.
Discovered in-door bouldering / rock climbing and now go 3x a week, am absolutely loving it! Because of that, I haven't really worked on any side projects in a while. Perhaps I don't need to? My job advances me plenty in my field, but it is a bit of a bitter-sweet feeling in a sense, like maybe I should try to squeeze more out of my free time somehow.
I'm building CommitKit, a tool that turns your git history into résumé bullet points and STAR-based talking points for interviews.
After being downsized twice in two years from senior engineering roles, I realized how painful it is to reconstruct what you actually accomplished at a job once you’ve lost access to your repos.
Each time, I had to dig through memory and scraps of old PRs to remember what I’d built. The first time, I lost GitHub access immediately after the layoff notice. This time, at least we got 90 days of paid transition work. But even with just 5 months in the role, I’d already made hundreds of commits. For engineers who’ve been around for years, that’s an impossible amount of history to summarize manually.
So I’m building CommitKit, a command-line tool that scans your repo for your commits, groups them by feature or theme using embeddings, and generates professional CV bullet points or behavioral interview summaries. It runs locally using Ollama, so your commit messages and diffs never leave your machine. The goal is to help people quickly turn real engineering work into clear narratives of impact, especially when time or access is limited.
It’s still early: the clustering isn’t grouping commits quite as I’d hoped, possibly due to sparse commit messages or embedding quirks. But it’s been a great learning project: my first CLI tool, my first deployment on Render, and my first serious use of Ollama for local LLM inference.
It has been a super fun experience so far - I'm using CPLDs instead of an FPGA which makes the logic a bit more era period. I have a working system now with the math coprocessor, SRAM, DRAM, and other device support.
I am just about ready to get the VGA card I designed produced so I can work on debugging the design.
While this is fundamentally a system that ss less powerful than my apple watch, it is just fun to work on. Going back to very first principles debugging, building tools, and of course getting to exercise an old logic analyzer!
Each player drafts cards that represent ways you can spend your limited time on earth to gather resources (wisdom, gold, and virtue) to complete your own personal player board (your hierarchy of needs) with the goal of reaching self-actualization before other players. However, you can still win without becoming self-actualized, if you complete more hidden quests (which can only be discarded by the "therapy session" card).
It looks inside each file to see what it’s about, then moves it to the right folder with a single click.
Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.
It already works with images, Office (Word, Excel, PowerPoint) PDFs, ePubs, text, Markdown, and many other file types (30+) in English. Next I’m adding multi-language support.
If you have messy folders anywhere on your Mac, Floxtop can help.
Started work on a project to put local history on a map. If I go somewhere I would ideally want to just open this webapp and immediately get presented with cool or interesting history that happened close by.
Maybe it's a story about named local fishermen from the early 1900s, with pictures, the history of a statue and videos of the process, or the state of a graffiti wall over time.
Currently in a phase of UI development and testing, and historical societies outreach for collaboration. It might stall and just fizzle into nothing, or it might be something cool.
Also still doing https://wheretodrink.beer, but haven't added anything of note since playing on this other project.
I recreated a little tool to simultaneously mount all the commits in a git repository as directories at the same time (but re-use the same inodes for the same content).
The original was in Python and actually had a decent excuse for existing for a very specific problem at work a few years ago. The new version is in Rust and exists just for fun.
This was also a small experiment in coding with OpenAI's codex. I wrote the Python original by hand---like a caveman. Codex was mostly ok at the actual code, especially once I told it to make `cargo clippy` happy, but it needed lots of help with the design. It kept insisting on extra complications and state.
But perhaps I'm a bit unfair here, because I only figured out the nice and simple design after reflecting on the connection between Linux's fuse and git's design for a while when writing the original. So it's only fair that the computer would also need some help to see how to match them up nicely.
Built a local-first Kanban board with Tauri (Rust + Svelte) after getting frustrated with SaaS tools and basic offline options. Stores data in JSON files you control, full keyboard-first UX, parent/child tasks, release management, and it's blazingly fast with localStorage + background sync. No telemetry, purely local. Curious what others prioritize in personal task tools. Seems like there's a gap between "todo.txt" simplicity and Jira complexity.
After taking a break from frontend development from a large corporate client. I wanted to get into iOS development to see how mature SwiftUI has become and finally get a chance to build my first iOS app. The result of that: PeekCard - https://peekcard.app
A simple iOS app for scanning (almost any) barcode and storing in the app, or adding it to your home via a widget. No tracking, no subscriptions, just a simple free app that is pretty simple to use and does the one thing I want it to do.
Building my own software has been super refreshing compared to working within a large organization. I really enjoy the path of just developing and it is fun to get into something different than React/TypeScript and Java. It was also really interesting to go through the process of publishing the app in the Apple App Store. Heard so many bad stories, but it was OK. Definitely not great, but not as bad as I was expecting.
Two learnings from this so far:
1. I do not think that I would want to do any Swift development in a large organization. Super fun to build indie style, but I can't imagine having to support 5+ years of old iOS versions.
2. I ditched most social media a long time ago and if you do not have any personal promotion channel, you are super limited into reaching any potential users for your software. I still do not know how to deal with this; I do not have any ambition to go back into building a social following. I just like building the "thing", but just building it is definitely not enough to get any traction.
For the current project I am building another iOS app, a bit more complex, also something I want to use myself. I was considering building with React Native, but ditched that plan because when I am building for myself, there would (I think) be a lot of overhead in testing Android.
For now I really like what I am doing, but financially I think I should consider going back to Java/Scala or React dev for a corporate client :-|.
My friend had a cute baby boy and mentioned difficulty in finding children's storybooks in Spanish.
Challenge accepted:
I built an AI generated multilingual storybook, just to see if it would work.
Tap or click the little monster to have it read to you.
Local LLM generated the story, stable-diffusion generated the images, AI converted text to speech in two languages: English and Spanish ( could easily do many more languages ).
I "filled the app out" by adding a simple landing page placeholder, login page and "library" page.
Not very phone friendly, was made for her iPad.
Just click login to move on, as it is currently not connected to a backend.
Only the second book currently has a story, the others are placeholder templates.
Still very focused on making light healthier. 3 new products:
Bedtime Bulb v2[0]: A massive improvement over our original Bedtime Bulb, a light bulb meant for use in the evening to reduce blue light. The headline feature is the re-introduction of infrared, which was removed from lighting to make it more efficient, but emerging research suggest it's beneficial for health. After a long wait, this is shipping in 2 weeks!
Atmos Bedside Lamp[1]: A fully automated circadian lamp that automatically shifts in color and brightness throughout the day, helping you prepare for sleep and wake up more naturally. Working on some machine learning features that mimic the functionality of the Nest Learning Thermostat, but for lighting. The first units are shipping by Christmas.
Circadian Mode for Philips Hue[2]: A web app that gives your Philips Hue lights circadian powers, so that they gradually shift from bright light during the day to dim, low-blue light at night. It's way more powerful and easier to use than first- and third-party options from Hue, Apple, and Home Assistant. Just launched this week; looking for beta testers to give feedback!
Over the years, I've read countless books. I started documenting one idea that shaped my thinking from each of these books. This idea may or may not be the core theme of the book.
I was hitting Claude Code's rate limit pretty often while paying for their max subscription. Started thinking – I've got a decent GPU sitting at home doing nothing most of the day.
So I'm building a distributed AI inference platform where you can run models on your own hardware and access it from anywhere privately. Keep your data on infrastructure you control, but also leverage a credit system to tap into more powerful compute when you need it. Your idle GPU time can earn credits for accessing bigger models.
The goal is making it dead simple to use your home hardware from wherever you're working.
It's for anyone who wants infrastructure optionality: developers who don't want vendor lock-in, businesses with compliance requirements, or just people who don't want their data sent to third parties.
All of the street and satellite tiles are thanks to maps.black. The search uses Nominatim's sqlite3 mode. I was told that it's experimental only because it hasn't been tried in production yet, so I'm sort of testing it in the process. So far I'm only doing administrative boundaries and natural features, but so far so good! I'm going to slowly add a few more types of POIs, I just don't want the database file to get too big.
Note that Internet in a Box has an OSM offering already, but the data is five years old and the tech makes it harder to update. As of today, there are much easier options on the table, and we get cool stuff like 3d buildings. Also, the search was much more limited.
A few months ago, I saw a tweet from @awilkinson: “I just found out how much we pay for DocuSign and my jaw dropped. What's the best alternative?”
Me being naive, I thought “how hard could would it actually be to build a free e-sign tool?”
Turns out not that hard.
In about a weekend, I built a UETA and ESIGN compliant tool. And it was free. And it cost me less than $50. Unlimited free e-sign. https://useinkless.com/
Building the world’s first “Travel Confidence Engine.”
I’ve been obsessed with how people actually make travel decisions — not how platforms think they do. From a consumer’s standpoint, travel isn’t just “search → compare → book.” It’s emotional, contextual, and full of FOMO.
You open 20 tabs across Booking, Google Maps, Reddit, and Instagram trying to answer simple questions like: Is this the right area? Is this hotel actually good? Am I missing a better deal somewhere else?
Most existing tools either oversimplify (like ChatGPT giving three confident but unverifiable answers) or hide information behind algorithms and commissions (like OTAs). Both remove choice — and ironically, make people less confident.
I’m building SearchSpot, a “Cursor for travel.” It automatically does what power travelers already do manually — cross-check reviews, verify real photos, compare prices across platforms — and then shows its reasoning transparently so you understand why something was recommended or excluded.
The goal isn’t to replace your decisions, but to help you close your tabs with confidence.
From FOMO to flow. From chaos to clarity.
If you’ve ever spent hours researching a trip just to end up more confused, I’d love your thoughts: https://searchspot.ai/home
I built this: https://github.com/dvcoolarun/web2pdf — a CLI tool for converting web pages to PDFs, recently open-sourced after adding several new features. (Might be useful!)
Not related to the thread, but if anyone is looking to hire a developer or knows of opportunities, I was recently let go and am actively searching. Any leads or feedback would be greatly appreciated.
I'm working on Flavia, an ultra-low latency voice AI data analyst that can join your meetings. You can throw in data(csv's, postgres db's, bigquery, posthog analytics for now) and you just talk and ask questions. Using cerebras(2000 tokens per second) and very low latency sandboxes on the fly, you can get back charts/tables/analysis in under 1 second. (excluding time of the actual SQL query if you are doing bigquery).
She can also join your google meet or teams meetings, share her screen and then everyone in the meeting can ask questions and see live results. Currently being used by product managers and executives for mainly analytics and data science use cases.
We plan to open-source it soon if there is demand. Very fast voice+actions is the future imo
I'm building a small rural ISP and web hosting service, as a way to learn about low-level networking stuff. I've got an ASN + IP space, and am working out the details with a colo, local fiber provider, and some upstreams. Right now I'm configuring the hardware itself (server, router, switch, etc) and learning all the bits and bobs (Proxmox, BGP, OPNsense, IXPs, etc)
I'm reviving a project I last touched in 2006, in the hopes that it might be of use today in making social networking human again.
Back in the day, after the company I worked for bought the Electric Minds community and migrated it to its own CommunityWare system, and then the company that bought our company decided to shut the platform down, I reimplemented the community platform in Java and helped rescue the community. See: https://erbosoft.com/blog/2025/09/08/electric-minds/
EMinds eventually sputtered out because of the rise of platforms like Facebook. Well, now we see what came of that. So I think there's room for a platform like the one I used to have. See: https://erbosoft.com/blog/2025/11/03/what-we-once-had-and-co...
The new system is being written in Go. I'm porting the code over without using AI, though I have used Claude to translate the old crusty HTML pages into modern HTML with Tailwind CSS. Once it gets to the functionality I had back in 2006, I'll put it up...and then see about going beyond that, including how to make it distributed and provide more interoperability.
Every time I talk acquaintances, friends and family members about finances I'm always shocked at how little people know about basic things like tax brackets, 401Ks, IRAs, ETFs, compounding interest, debt management and etc. So I decided to write a financial literacy/education book with a bit of humor and easily comprehensible language to distill some of these topics. I'm about 1 month into it and try to write a chapter a week.
I've been working on a sillier project lately. Green teeth!
Lumina has made a probiotic strain that is able to, theoretically, prevent cavities. I don't care that much about, but I do think it is a neat strain that can likely colonize your mouth. I'm genetically engineering it to express sfGFP, which would theoretically make my teeth fluorescent green under black light. Would be fun at raves! Also, if I make out with anyone, you could theoretically see changes in microbiome composition just from green-ness. I do wonder how much microbiomes are shared while kissing: this would be an example of a way to directly measure that, instead of just measuring on proxy like much microbiome research
Working on Strot - an AI agent that reverse-engineers website APIs for scraping.
Instead of DOM scraping, it intercepts AJAX calls and figures out which API endpoint gives you the data you need. Uses visual analysis + fuzzy matching to identify the right call.
The use case: scraping product reviews, paginated listing data (products), etc. Existing AI scrapers either didn't work or were very slow and costly. A product with 1000 reviews takes 10+ minutes with Playwright, costs $10 with LLM scrapers. With Strot? 10 seconds via direct API calls.
Being used in production by a couple of clients. Would love feedback!
Since I got a baby and we’re still adjusting to their schedule, I’m still working on the same project, Librario[1]. Librario is a simple book metadata aggregation API written in Go. It fetches information about books from multiple sources, merges everything intelligently, and then saves it all to a PostgreSQL database for future lookups.
You can think of it as a data source, or a knowledgeable companion that can provide comprehensive book information for online booksellers, libraries, book-related startups, bookworms, and more.
I got a pre-alpha build running for those that want to test it out[2], but the code is still not out there, as there are a few things I want to refactor. Wrote comprehensive documentation for it this weekend, now I need to refactor the merger package with some new rules, and write something to decrease the number of genres returned.
Been tough to find time to work on it because of the baby, but AI has been helping a lot to speed things up, and the work has been quite fun. Not sure if there will be interest in the idea, but it solves a problem I have, so I had to work on it anyway.
Hope to have the code on GitHub by the end of this week. AGPL licensed.
I’m working on https://regularly.co/ - A website made for inquisitive minds to get their daily puzzle fix. Still very much a WIP (mainly working on tuning the difficulty of puzzles to make it enjoyable for most). That being said I really do enjoy the unique combination of puzzles when I do them each day. I’m looking for feedback so if you do take a look please do let me know your thoughts!
An algorithm to optimise vacation days using public holidays and weekends. Especially relevant at this time of year.
I created it a year ago and received quite some comments on the Show HN post[1]. Last weekend I updated it to work for end of year planning and adding fixed days off, which seems to solve most of the feedback. It was done with Cursor in agent mode.
Hey HN! I'm building https://openfret.com/ - the all-in-one platform for guitarists that I wish existed when I started playing.
OpenFret combines everything a guitarist needs in one place: smart gear inventory management, AI-powered practice sessions, real-time collaboration tools, and a vibrant community. Think of it as "GitHub for guitarists" meets comprehensive practice tool.
Core features:
1) Smart Guitar Inventory: Track your collection with auto-filled specs from thousands of guitar models. Monitor woods, pickups, scale length, string changes, and discover patterns in your gear
2) AI Practice Sessions: Generate personalized guitar tabs and lessons based on your practice history, with VexFlow sheet music and integrated metronome
3) Session Mode: Fork and merge music tracks like code. Layer recordings, see version history, and collaborate with musicians worldwide
4) Practice Analytics: Persistent timers, song tracking (Last.fm integration), scale visualization, fretboard maps, and chord progressions
5) Built-in Tools: Guitar tuner with frequency control, Strudel integration for backing tracks, and musical helpers to break out of E minor habits
Looking for:
Feedback from guitarists/musicians on which features resonate most
It's a custom assembler built on top of the LLVM assembler (llvm-mc) that emits instrumentation code to catch ABI violations at runtime. Stuff like clobbering nonvolatile registers, misaligning the stack pointer, misusing the redzone, assuming volatile registers don't change across a function call, etc.
Hoping to finish up basic x86_64 support within the next few days. I can now reliably assemble and run unoptimized gcc output without hitting false positives, but I still have to iron out some false positives triggered by OpenSSL's handwritten assembly routines.
TODO items for the near future include porting the runtime support library into a kernel module so I can instrument Linux, and beginning ports other architectures (ideally something semi-obscure like POWER or RISC-V). I also need to figure out how to support dynamic linking, because the tool currently needs static linking to access its thread-local variables.
Laketower: https://github.com/datalpia/laketower
A lightweight data lakehouse exploration and management app (web+cli), using DuckDB as the default query engine. It can run locally or self hosted, and for now statically configured only. Hope to integrate Iceberg and Ducklake support by end of year.
Modelship: https://github.com/datalpia/modelship
An ML model to app generator. For now, only ONNX models are supported as input, and only static website as target (onnx runtime web wasm/webgpu). I intend to also work more on it the following weeks/months, especially to support more model I/O types, and add support for more targets (REST API, CLI, etc).
These 2 projects were born from professional activity needs but are a nice playground to learn and try new things
DIY grid-tied residential solar+inverter+battery. Trying to design the solar arrays' tilt mechanism now for lifting/lowering 5 panels at a time in winter (60-degree winter angle, 35-degree spring/summer/fall; ~24" difference). Thinking either two linear actuators, or a single hydraulic jack connected to multiple support beams. The weight isn't much, but I want a way to lift entire top edge at once to prevent twisting. Linear actuators are slightly more money and easier to build, but require power and weather-proofing. Jack is cheaper, but more complex to distribute force. Wondering if there's other options. (winch would require more robust/taller rear posts, seems more complex, might shade rear array)
I’m working on “Stripe Integration as a Library.” It seems that whenever someone uses Stripe, for example for subscriptions, they go through the same few steps: creating a database table, setting up webhooks, and implementing the events they care about. The challenge of course is that everyone uses a different stack.
I’m building this using our framework for stack-agnostic JS/TS libraries. On the database side, we currently support Drizzle and Kysely, with Prisma support coming soon.
Working on a charity + website (not live yet) that allows you to centrally manage your charity donations.
I'm in Germany so I'm working on a Germany-specific solution for now.
- you choose from a list of charities (right now I'm working with the list from the https://dzi.de plus a few such as Wikimedia Deutschland)
- you setup a recurring donation to our bank account
- we redistribute the money according to your split
- no spam in your email and snail mail
- one pdf at the end of the year for your tax returns
I'm not planning on taking any cut of the donations obviously, so this will be a fully self-funded project at first, but I'll reach-out to foundations once I'm up and running.
I am working on Rad [0], a programming language built specifically for CLI scripts, so you don't need to write Bash, and it offers CLI-tailored features which make it a better choice than Python.
Lately I've mainly been working on stability and bug fixes. I've released some big features the past few months so I'm doing a big push on polish, before I again tackle some larger features that I'd like to implement.
If CLI scripts is something you're interested in at all, give it a go! We have docs and a guide [1] for getting started, feedback very welcome :)
I'm working on fighting IBM's patent trolls.
IBM slapped the words 'AI Interpretability' on Gauss' 200 year old continued fractions and was awarded a patent.
Now they can charge rent if they encounter a continued fraction library in the wild.
As a means to learn about both WebAssembly and Rust, I started writing a WebAssembly binary decoder (i.e. a parser for `.wasm` files) from scratch.
Recently it hit v2.0 spec conformance. 3.0 is next on the roadmap. (I'm executing it against the upstream spec test suite.)
My aim is probably not for it to become a highly-performant decoder for use in production environments, but rather one that can be used for educational purposes and/or debugging issues with existing modules. That's why I decided not to offer a streaming API, and why I'll be focusing on things like good errors, good code docs etc.
I was tired of inspiration sites like Dribbble full of polished mockups that aren't practical. Or awwward like sites that don't represent the mundanity of most websites.
So, I spent a while building a tool that captures website design snippets. It's now a collection of 4,363 designs from 544 different domains.
For every design, it extracts:
The exact fonts used on the page (so far 561 unique font families I've found)
About 2 years back I began working on a very simple markdown compiler, it was “immediate” in that it would consume markdown and immediately spit html. That project turned into a whole static site generator called Kevlar — https://github.com/aadv1k/kevlar
Entirely built from scratch in C without any dependencies. Now I wrote this code when I was 16, so many memory leaks and generally issues that I wanted to rectify and begin using third project for my own blog (currently old version is used — https://aadvikpandey.com)
The Kevlar v3 (https://github.com/aadv1k/kevlar/tree/kevlar-v3) here is all that it includes; more spec compliant markdown AST-based parsing; A better .ini config parser (right now it’s literally strtok on ‘=‘ and generally very hacky) as well as name spacing; more powerful templating tags like IF, FOR with lisp-like configuration
Of course staying true to the spirit of “from scratch” :)
Honestly I did scope creeped a little since I mainly wanted to fix a memory leaks issue in the markdown compiler lol; anyway I will share it once it gets completed on hacker news :)
An annoying little laptop charging reminder utility that does the job.
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There are times when I am deeply involved in a focus-work session, a meeting, OR watching some sort of engaging video content, and don't pay timely attention to the standard low battery notifications from my MacBook.
After the laptop shuts down suddenly, what follows is the most annoying walk to find the charger or the charging outlet. It's frustrating at times, sometimes embarrassing because you have to say, "Sorry, my battery died down" as you join back the session after 2-3 minutes.
Over the last 3-4 weekends, I have been building Plug-That-In, which has floating notifications. Essentially, a notification that follows my cursor movement, so I get a stronger nudge irrespective of what I am doing.
There are a few other critical features, such as Reminder Mode and Do-Not-Disturb Settings.
- Reminder Mode: On critical/lower battery levels, it will keep beeping like a car's seat belt alert for some time (configurable) when the battery is really low.
- Do-Not-Disturb settings: Configure what sort of alert/sound it will generate when I have system audio playing or video playing, or the camera is active.
It has addressed a personal need and has already proven useful a few times over the last weeks.
I recently have gotten into the "drag and drop" forms of programming like Node-RED and n8n.
Obviously, anyone here who has read my posts knows I know how to write code, but having a bunch of built in connectors that are agnostic to each other with the Oauth and the like being somewhat plug and play allows me to iterate on some ideas a lot quicker.
I installed an n8n instance on my server, and have become kind of addicted to making different Discord bots, and I'm having more fun with this than I thought I would. 95% of the stuff on there is basically drag and drop, and when I need more elaborate logic then I can easily drop into JavaScript. I am looking into writing new nodes for different services, and I keep having new ideas for different stuff I want to build.
Check out my project at https://www.MobiusClock.com: A 3D WebGL Clock on a Möbius Strip that shows 24hr time on a 12hr face. The hour indicator follows the edge of the strip, thus must make 2 turns to return to its starting point, giving you a 24 hour clock. The minute and second indicators move along the middle of the strip and thus return to their starting points in only one turn. Has the ability to rotate!
I am working on SecurityBot https://securitybot.dev a service that combines uptime, performance, SEO, and security monitoring. Among other things it inckudes PageSpeed Insights analysis, a broken link auditor (401, 404, 500, etc), and historical ping/uptime results.
I recently shipped an MCP server thst can delivered broken link results to Cursor so they can rapidly be resolved.
I’ve been working on ScratchTJ, a DIY digital turntable built with a Raspberry Pi and Arduino Nano. It’s based on the open-source SC1000 code, but with some hardware changes and tweaks to make it easier to build and customize.
It runs on a Raspberry Pi 2 with an AudioInjector sound card, a small LCD screen, a rotary encoder, and even an old hard-drive platter as the “deck.” The goal is to make a simple, open, and affordable way to experiment with scratching and mixing — no fancy gear required.
It’s still in progress, but it works pretty well and has been a fun way to explore DIY DJ tech and embedded audio.
I’m working on Shapiful, a cloud-based platform that makes designing and generating 3D-printable labels and custom objects fast, simple, and accessible to everyone.
https://www.shapiful.com
The idea is to remove the steep learning curve of traditional CAD tools while still giving you precise, print-ready models in minutes. With Shapiful, you can create personalized labels, signage, tags, stamps, LEGO-compatible pieces, or even board game tiles by customizing shapes, text, braille, or QR codes. You can also upload existing STL files and overlay text or graphics seamlessly, with live 3D previews, parametric scaling, and automatic surface detection to make placement easy. We support a variety of shapes, mounting styles, and text styles (embossed, debossed, engraved, or negative), all designed to produce durable, professional-quality models ready for printing. The platform is aimed at engineers, designers, educators, hobbyists, gardeners, and 3D printing enthusiasts who want fast, flexible, and fun customization without the complexity of traditional CAD software. Essentially, Shapiful turns 3D printing personalization from a technical chore into an intuitive creative process, whether you’re making home labels, company signage, accessible braille tags, or playful DIY projects.
I’ve always wanted a typing application that’s both more than typing random words and is data-focused so I built this.
The more you type, the more the analytics system learns about your typing patterns and generates natural text to target those weakpoints (SmartPractice mode).
There’s a lot of variety as well; you can practice typing code in any programming language, or type text of various topics, use custom text, etc).
I've built a self-hosted reddit-like community platform in Go: https://baklab.app
Users can create their own sub-communities, and within them, set up different categories and boards. Posts can be voted on, and board types can include regular posts, Q&A, or live chat. It's like a hybrid of Reddit and Discord but leans more towards a traditional web community. It also supports server-side rendering, making it SEO-friendly. This project is an extension of my previous Hacker News clone, dizkaz (https://news.ycombinator.com/item?id=43885998).
In network code: most people just let the OS choose a default adapter. It works fine, but it makes it hard to write software that works across machines with either (1) multiple NICs (and/or networks they point to.) or (2) multiple external Internet IPs. Look at STUN, for example.
A STUN server that lets people test what type of NAT they have uses two IPs. For such a server you have to manually specify the addresses to bind on to make for sure its setup right. As it goes, writing network software to do simple things like "bind on all local addresses", "bind publicly", "bind on all", is harder than it sounds. There are edge cases on different OSes and address families, so manually managing IPs is hard to do.
My network software lets devs easily manage NICs and routes they support without guessing about addressing. Additionally, I've written a bunch of software with the library already to do things like NAT traversal. So its really my own redesign of how to do networking on the Internet. Designed to hide a lot of the messiness. I'm still improving code quality so it's not ready yet. But I've been dog fooding with a lot of software written in it and smashing bugs every day.
Pretty much finished my photo gallery app for Windows -- https://github.com/Bloomca/Piktosaur. It is a pretty standard gallery viewer, the main feature is that you can point it at any folder and it will recursively search nested folders for extra images, e.g. an external hard drive.
Really happy with it as I wanted exactly that for myself.
I've been researching this topic and while my background is related to digital signal processing, I think I will use a library, there seem to be too many edge cases to work with WASAPI and such directly.
I just launched a 10-Bit Video Thumbnail Provider for Windows.
Windows does not natively support rendering thumbnails for 10-bit videos, which are commonly produced by cameras like the Sony A7IV.
When I started working on a short film the video clips were piling up on my hard drive. Opening them one by one to find what I was looking for was tedious.
I could not find a reputable solution to this problem, so I started a company and built one. I went through the process of EV Certification to have the installer and executable code signed.
I hope to be in the Microsoft Store soon.
I'm also building other utilities with similar purpose.
I've been enjoying rebuilding my music collection from both old hard drives and ripping old CDs. Jellyfin is great but I wanted a native application focused on music, not video. Thus Gelly. It's been really fun to work on.
I am working on my own Lisp-like language (cliche, I know). Goal is a hybrid. Syntax is a bit more Clojure inspired, but want to emulate the interactivity of SBCL once I am done.
And the other goal is minimal dependencies. The only bootstrapping stage is a very very small core in Common Lisp + FSet but could also be replaced with other languages, and then using that subset to bootstrap the rest.
There is absolutely zero claim to be highly performant, it is more of an educational experience.
All of it is done via literate programming in org-mode. So far it's working pretty well, but will have to see how that approach works if the project grows.
I'm working on a K8S hosting solution that just gives the user a simple Kubernetes cluster. I (or we) handle the compute, (networked) storage and ingress hosting for you, and the cluster provision time should be within minutes.
You just need to pay for a fixed monthly upfront cost rather than PAYG, giving small developers a good save of their money.
In other words, this is similar to self hosting with K0S/K3S/OpenShift, except you don't have to own servers to begin with, in other words, it is a little similar to serverless K8S.
Well, all you those you can actually do with a VPS today, heck why do I have to do it if EKS/GKE/LKE/OKE/DOKS exists? That's because it takes a lot of time to properly setup VPC/EBS/S3/EC2, you need to pay an insane amount of premium and overheads to those while an ordinary user just don't want to hassle too much.
I want to undercut the big clouds by saving people's money and time. I have had enough of seeing a ludicrous EKS billing. I just want K8S to be the control panel of everything.
I'm resurrecting peer-to-peer Matrix (https://arewep2pyet.com) thanks to the Dutch government, who started funding it in October.
The main question is which P2P overlay network to use, if any: the prior incarnation used Pinecone (a variant of Yggdrasil), whereas this time we're pondering keeping it simpler and more scalable and using Matrix itself as the backbone to connect together smallish local P2P meshes - so by default you try to route via Matrix, but failing that you look on your LAN or BLE to see if you can talk directly to whoever you're addressing. Time will tell if this works :)
Currently working on getting back into a fitness routine. I got into this habit of hacking on side projects in my very little spare time but I have realized taking care of my body will pay off far more than any project
Today I'm hacking on automate-terminal, a command line program and Python library that abstracts the various terminal emulator automations (iTerm2, WezTerm, Kitty, tmux) into a single API. Mostly made for use by other tools. https://github.com/irskep/automate-terminal
Working on a binary that will instrument every Java service running on Linux host machine with OpenTelemetry Java Agent.
Kinda like this (https://github.com/open-telemetry/opentelemetry-injector) but with support of having multiple service name for different services. This includes tomcat, normal systemd services and also services running inside docker containers.
EDIT: I am popping my cherry with this comment on HN. Been a lurker since past 2-3 years.
FURS does for Forth, what headers do for C, namely provide all the embedded configuration information inside a Cortex-M MCU, for the up to 100 inbuilt peripherals.
Without this data, neither C nor Forth (or any other language) have any clue about how to use the peripherals.
FURS does this by intercepting the Forth user source as it's uploaded to the on-chip compiler and transforming it into language the MCU inherently understands.
The Forth user source code is not altered in any way.
I've used the Fossil DCVS for the entire FURS project so that all the flowcharts, pictures, code, user doc, trouble-ticket, wiki ... everything is contained in the ONE FILE, under 5MB.
This one file gives you a web server so all you need is a browser to easily view all the above from the main menu.
I'm working on Pocketdata - a personal, private AI data plane.
The idea is to take boring components: PostgreSQL, Bifrost (LLM gateway), Open WebUI, LanceDB, Agentgateway (MCP and OpenAPI gateway) and deploy them in Fly.io. One Fly.io "org" per user. The closest equivalent is blaxel.ai, but it caters for AI SaaS startups, not individual customers.
The combination of the fact that Fly secrets are visible only from within the apps, distroless containers, and transparent data encryption for PostgreSQL assures that the service (Pocketdata) provider cannot access their data, only the infrastructure provider (Fly.io) theoretically can, but practically speaking, this gives an extremely high degree of privacy assurance.
I've been wanting to learn more embedded type projects, and I've been snacking too often so I've been building a box that will only open on the weekends.
I got all the components, tested it on a breadboard, learned to solder and now I'm working on the 3d Print to enclose everything.
I actually just did a test run to see if my current 3d design would fit my PICO board, and it fit, but not that secure yet.
Im a developer but never worked this close to metal, so I've been so happy with how it's been going so far, making me real proud of myself.
Dog enrichment calendar - I have a lot of different types of treats, toys and activities that I'd like to do with my dog but I fell into routines and just gave him two or three toys and treats on repeat. So I'm building an app where I'd be able to configure an inventory of all the treats and toys I own and the app would remind me to use a new toy or treat every day, to minimize repetition. You'll also be reminded ahead of time for toys and treats that require preparation
I’m working a Garmin watch app to query all the rich data on the watch (health, physical, environmental, location sensors) from the watch + general AI assistant. Privacy focused using your own keys and Gemini. API calls direct from watch - no backend. https://untether.watch
This is a pet project for myself. I love listening to online radio while at work, helps me focus. But I didn't really click with any of the current selection of web apps out there so decided to build one myself.
It uses the great API available at radio-browser.info for all the radio information.
Been using it as a way to learn how to market a website as well. Learning a lot.
I've been building a Decentralized Database built on top of syncing CRDTs, and recently got it to a point I can demo. It's definitely in a "proof-of-concept" stage though, known security holes and all.
I've been focused on building out the featureset and keeping everything unstable instead of trying to finalize each piece as I build it. It's the opposite of how I normally build things but I think it's been working pretty well for this.
I'm working on Solitairle – a Yukon solitaire game where every board is guaranteed solvable: https://solitairle.com
Why? Most solitaire apps frustrate players with impossible games or endless randomness. Solitairle is designed for people (like me) who want a satisfying win through skill, not luck. Every day brings a new, solvable challenge, complete with helpful tools (back button, dead-end warnings) to keep it fun and frustration-free.
I’m especially interested in feedback from people who:
Enjoy casual puzzle games but get discouraged by unwinnable setups,
Value clean, minimalist interfaces without ads,
Have ideas for daily challenges or fun player stats.
Would love your thoughts: What frustrates you most about digital solitaire? What would make you want to play daily?
LINOG.ph is a live earthquake tracker for the Philippines.
The Philippines deals with thousands of earthquakes a year. Whenever the government volcanology and seismology department detects earthquakes, they post it on their official website.
When a major earthquake happens, a huge number of people try to visit the site, causing downtime for up to an hour.
LINOG.ph caches earthquake data from the official government website and the U.S. Geological Survey site, and makes them highly available to the public.
I built this after seeing friends and family donating and providing support for affected families after a major earthquake in Cebu. This was my way of helping out.
Two super typhoons have hit the Philippines in the past two weeks, so I'm also considering adding in typhoon tracking.
Career Skills AI Coach. Sharpen how you think and speak by debating AI
We are clearly on the verge of the largest white-collar skills dislocation ever. Our goal at Socratify is to make skill building and reskilling for interviewing, onboarding, promotions, and career change as effective as possible with an AI coach and sparring partner.
I’m working on a quantum simulator written in C++ from scratch. I’m not using any external library, so I had to implement everything from the lazy eval structure to the eigen solvers and so on. It’s still very a WIP, but here’s the repo: https://github.com/braketware/hilbert-qusim
Frustrated by the complexity and high overhead of most monitoring tools, I wrote Simon.
It’s a single binary, dependency-free monitor in Rust that does it all: metrics, Docker, alerts, and file browsing. While maintaining a minimal footprint for embedded systems and other constrained hardware.
I've been working on Tech Talks Weekly which is a free weekly email for software engineers who want to keep up with new conference talks and podcasts without drowning in YouTube/RSS feeds.
Every week I pull together all the new talk recordings from hundreds of conferences (Devoxx, KubeCon, PyCon, QCon, LeadDev, dotJS, and many more) as well as podcasts. I highlight a few must-watch ones with short summaries, then include a list of everything else uploaded that week.
It started as a personal project to fix my own messy YT subscriptions, and now 7,000+ people read it. I also publish fun extras like “Most Watched Talks of 2024” for Python, Java, Rust, etc.
If you watch engineering talks, you might find it useful. I’d love to know what you think!
There are many language-learning apps, but almost none that focus on improving conversational Hindi for kids.
Made this web app for my nephew, based in Singapore, after watching him struggle to find anyone to practice Hindi with outside of family calls (since most of his friends are Chinese). The idea is to have a 24x7 partner to speak with Hindi and make it fun. This can complement the formal Hindi classes that most kids of Indian diaspora parents take.
I have always wanted to learn Rust, but was too distracted to get started.
So, I started working with Claude on building a postgres database replication application. I'm learning Postgres internals as well as how brittle database replication and subscription can really be. Although this is for Seren, you can replicate between any PG databases.
https://github.com/serenorg/postgres-seren-replicator
Big learning: Claude Sonnet with Rust is massively productive. I'm impressed, but code bloat is a thing.
I'm working on boiling the ocean - we're building a new CRM to compete with some of the big players. I tried very hard to avoid doing this, but I've helped enough business owner friends set up CRMs to realize there's MUCH to be desired. My goal is to create a CRM that people rave about - something that is very rare. Pretty much everyone I help views CRMs as a necessary evil. Our bold challenge is - can we make a CRM that is delightful to use?
Of course we have to slap "AI" on it in this market, but we plan on adding AI features that are actually thoughtful and not just a glorified chatbot.
I'm working on Volt-Test, a performance testing engine I started building after repeatedly debugging concurrency and race-condition issues in Laravel/PHP applications.
The idea is to bring something like k6 to the PHP ecosystem:
A Go-based load-testing engine
A PHP SDK that lets developers write performance tests inside PHPUnit
Assertions for latency, error rates, and business logic
Can spin up local servers and run in CI/CD
Working on distributed mode to scale tests across multiple nodes
Currently building the cloud version so teams can run large tests without managing infrastructure
For Laravel developers, I also released a package that integrates Volt-Test directly into the framework:
Been working on documenting as much publicly-accessible stained glass as possible with https://stainedglassatlas.com/. No fancy tech (vanilla HTML/CSS/JS). Come document any local stained glass in your area!
I'm working on a JSON schema discovery tool, JSONoid[0]. JSONoid can discover many more features of JSON Schema than existing tools such as regular expression patterns, formats, and dependencies. I'm also working on integrating this with some past work I've done on using LLMs to augment JSON Schemas[1,2].
There are a number of use cases for such a tool. One is for helping data analysts who are handed a pile of JSON documents to be able to more quickly and effectively craft analytics pipelines for heterogeneous data where just inspecting a few documents isn't sufficient. Another is to help automate API specification generation and regression testing. Definitely interested in any feedback.
I was a YC founder in 2006 and now work as a data scientist full-time, but on the side I also do Christian apologetics, helping fellow engineers/scientists/mathematicians seek answers to life's deepest questions.
For the past 2 months I have been doing a heavy deep dive into image generation and image generation editing capabilities. This then had me discover that you can generate storyboards for short stories, and automate the creation of these as videos with video generation models. This is a topic that interests me heavily, and as such I am now building my own workflows around that. I am documenting the entire journey here:
It's not something I am looking to commercialize, but I actually did drop out of film school (with semesters in creative storytelling) to pursue software 15 years ago. And I feel like this will open up a whole new way of visual storytelling as well as personal and product branding. I have gotten quite some emails about it, from interesting people in different industries, as some more strongly worded (not so nice) emails from someone in the VFX industry since I started. Its by far one of the most interesting tangents I have ever went on.
AgentOS is a lisp-machine inspired runtime where agents can safely propose, simulate, and apply changes to their own code, policies, and workflows, all under governance, with full audit trails. Every external action produces a signed receipt. Every state change is replayable from an event log.
I've been working on two game development projects for the past couple of years.
One project is for building rhythm games in multiple game engines and multiple platforms. Currently, it works in Unity, Unreal, Godot, SDL (or any C++ game engine), and MonoGame (or any C# game engine), and runs on Windows, macOS, and Linux. I'm working on adding Love2d (or any Lua game engine) and Bevy (or any Rust game engine). I have a few local prototypes of it working in Unity and Godot, but nothing public yet. Still trying to figure out what kind of game I want to make with it.
The other is a general purpose game engine in C++ with SDL. It's far enough along that I'm building games in it, but it's more of an exploration into how games are made than a replacement for Unity or Godot. I suppose it could be eventually, but I'm trying to be realistic with what it can do. One thing I'm pretty happy with regarding this engine is that one of the demo repos will automatically build to WebGL and publish to itch.io when changes are pushed.
I’m building A2Fusion [1], a dual RP2350 expansion board for the Apple II to provide, storage, hdmi video and other functions in one card. The PoC is currently a big mess of wires. Waiting on JLCPCB for first prototype boards.
A Civil 3D plugin (Genabler) that will include all the network catalogs and collate the Civil 3D styles for civil engineers to use.
There are some out-of-the-box catalogs and styles shipped with the default installation, but they are quite limited and fairly well hidden—which is not surprising, given that Civil 3D is a huge beast. As a result, they are not commonly used.
When people think about Civil 3D, they often assume it requires BIM modelers (in a sense, just glorified drafters) to create all the necessary catalogs and styles, and to assist with their use.
My Civil 3D plugin will:
1. Make standard, market-compliant catalogs and polished styles available to engineers at large. Think of it as the WordPress theme provider equivalent.
2. Make the entire process easy and painless through the plugin, with prominent buttons for quick access.
If the plugin is done well, there will be less need for BIM modelers, since for a fee, engineers could simply purchase catalogs and styles that are so easy to use they require no technical training.
As a side benefit, I also get to explore how LLMs can help me write code. It has been a while since I last updated my AI usage policy [0], and I look forward to revisiting it.
I was able to get the original 15khz CRT monitor up and running by recapping the board. I decided that the control panel was unsalvageable, and insufficient for what I wanted to do, which was make this cabinet compatible with most any game that would have run on a cab like this.
I decided to use RGB lit buttons, so I could change the color's depended on which game was loaded. I used an ESP-32s2 to emulate a keyboard, and accept serial messages from the host computer that changes the button colors.
I also incorporated a Stream Deck in the control panel for auxiliary functions. I was able to write a node application to run the stream deck (with the help of a library) since there is no OEM software for linux.
By far the most challenging part was getting a suitable signal to the CRT. The first thing I tried was using the Raspberry Pi's GPIO pins through a VGA666 board, but this limited my colors to 16bit, which makes 3d games look pretty awful.
Next I tried using a downscaler. This got me 24 bit color, but resolution switching doesn't work with this method.
I'm trying an AMD system now. Apparently the linux driver lets you set custom resolutions, and output 15khz (and 25khz for that matter) right from the VGA port.
I plan on doing a writeup after I near completion.
I'm working on Argon Chess, a deterministic chess variant with some degree of cheat resistance (hard to describe to chess engines like Fairy Stockfish) and tons of variety. A week ago, I added a way to play friends online a week ago (a Discord Activity) and a simple Play a Dumb AI feature on its website. You can also print the cards for free for offline play. https://argonchess.com/
Why? I love the old arcade and game boy games, and I want to recreate them to my liking. I also love mechanical systems and space rovers, and I want ro build worlds to explore and simulate these things
A self-hosted database querying and editing tool for you and your team. Modern and elegant UI. Supports Postgres and ClickHouse. It can be embedded into any JVM app or runs as a standalone.
A lightweight production-ready Java web framework that comes with batteries (e.g Svelte, Tailwind, Github Actions, browser testing).
It is packaged into a single fat jar with no external dependencies. The starting size is 350KB. This is great for embedding into your larger JVM app or runs a lightweight website.
It's mostly for educational purposes, but why not make it bigger later on?
Repo: https://github.com/mburaksayici/RAG-Boilerplate
- Includes propositional + semantic and recursive overlap chunking, hybrid search on Qdrant (BM25 + dense), and optional LLM reranking.
- Uses E5 embeddings as the default model for vector representations.
- Has a query-enhancer agent built with CrewAI and a Celery-based ingestion flow for document processing.
- Uses Redis (hot) + MongoDB (cold) for session handling and restoration.
- Runs on FastAPI with a small Gradio UI to test retrieval and chat with the data.
- Stack: FastAPI, Qdrant, Redis, MongoDB, Celery, CrewAI, Gradio, HuggingFace models, OpenAI.
Blog : https://mburaksayici.com/blog/2025/11/13/a-rag-boilerplate.h...
For my work I've developed a web-based Monte Carlo simulator with a visual, node-based editor for building supply chain models. Last week, I started making it available for everyone.
You can have a look at https://simcarlo.com. The tool allows you to see the full spectrum of potential outcomes instead of just a single guess.
A kernel extension-less sshfs for macOS. I tried using FSKit and got halfway before I felt too constrained by the extension security model (must be app sandboxed, must be approved by the user in system settings). Now it’s just a standalone command line binary that doesn’t require any special permissions since it proxies NFS to SFTP. Everything “just works” and performance is reasonable
I built a tool to generate a PDF for each row of a Google sheet. For example, you can generate 100 personalized PDFs (like certificates) for 100 students listed in a Google Sheet.
Once you sign up and connect your Google sheet, it generates a template (using AI) based on your data, which you can edit in a Notion-like editor. You can then generate PDFs for your entire sheet or a for a range of rows.
I recently started a local chess club, and did a quick search for software to use to allow us to manage the club, but couldn't find anything open-source/free.
I wanted something that would allow us to record members, games, etc., and also allow us to be assigned a local club rating. Anyway, after doing some searching and only finding paid software, I decided to just build something. That lead to https://openchessclub.org
I plan on building a QR code generator that allows club members to check-in during meetings, which will then allow players to be matched, and some other features, although it is primarily aimed at smaller chess clubs, so don't know how far it'll go.
I’ve been working on MemoryPlugin (https://www.memoryplugin.com), a tool that adds long term memory across AI tools
Lately I’ve worked on a chat history based memory feature that can recall information from every conversation you’ve ever had with ChatGPT and Claude. It’s been particularly useful and also technically fun to implement. Speed has been very important as I do just in time summarisation and a multi stage RAG pipeline, and most LLMs have unacceptable performance. I ended up going with GPT-OSS on Groq due to its ultra low latency often completing full generations before Gemini or ChatGPT APIs return even the first token.
The ability to recall details from conversations going back years makes tasks where I want personalised plans or feedback like 10x more useful, at times I get the AI to ingest tens of thousands of tokens of context to help me better.
I’ve created a small command-line tool that generates a hash-based, human-readable list of git repositories and data folders. Its purpose is to capture the exact state of all projects and files in a single plain-text file.
I built it because I work across multiple machines and often worry about which projects are on which computer or whether I’ve left any files in unique locations. Now I can diff the summaries between devices to see what’s out of sync, which repositories have uncommitted changes, and which folders have been modified.
I avoid using cloud sync services, and most of my files are already in git anyway. I find that having clear visibility is enough, I just need to know what to commit, push, pull, or sync manually.
I would be glad if it proves useful to someone besides me.
I am building better dev tools for firmware and PCB developers.
For example, we have GitHub Action workflows that allow you to push builds to the connected EmbedHub project. Your EmbedHub project has fine grained release management - so for example only the git tagged releases will be shared with the customer, but the testing/QA team will get access to builds from regular commits on branches as well.
I am also building a physical device (called HAL) similar to the now discontinued EtcherPro[1] - which will connect to your EmbedHub account and have access to your releases. This will let you offload tasks like long term testing, mass flashing and provisioning of devices, and more.
My backhand is OK but my forehand sucks. Grip styles for standard handles usually end up favoring one side or the other. I'm making a handle shape that's easier to get the blade angle right on both sides. Hopefully a couple more iterations on the 3D printer and then I can have a functional prototype made.
Building https://www.hessra.net/, an authorization system based on the Biscuit token format (decentralized, signed, and attenuable). The goal is to push beyond JWTs and Zanzibar-style policy engines by giving every machine-to-machine request its own embedded, verifiable authorization logic in a small capability token. These tokens can be delegated, restricted, and verified locally with no extra network calls required after getting the token.
Early use case is replacing API keys with identity tokens that expire, delegate, and prove possession and then can be used for easy step up to fine-grained authorization. There's some pretty interesting authorization stuff you can do, like having multiple parties sign off before a token is valid or requiring a series of micro-services sign a token for it to be valid.
If you play DnD, I would love feedback! Feel free to leave it as GitHub issues or discussion.
If you don't play DnD, you might still find the repo interesting. It's hono on bun, I render jsx server side and client side is all htmx. I use vercel's ai toolkit for the LLM interactions, which are super fun and work really well. I think this is a great use for AI actually. I've structured the code so the same services can be called either by the user via forms and routes, or via LLM tool use, so for every action in the code you can do it via either LLM or "manually".
A multiplayer falling sand game - kinda like Noita, but faster paced and online & couch co-op - which happens to run on both desktop and in the browser (including online multiplayer, powered by webrtc data channels).
I have a lot of devlogs at https://www.slowrush.dev/news though at this point I am quite behind showing off the latest graphical improvements there.
It is a recipe app but better, and way more technically capable than anything out there. The goal is to make the best recipe app ever made. With bulletproof easy to follow recipes and smart features to make cooking simple. Everyone deserves good food at home, but good food is complicated and time consuming. An experienced cook can make good food quickly, cheaply and make it look easy. The idea is that Kastanj will have the knowledge you don’t so you can cook like a pro without having to spend years learning everything.
Backstory:
I have a note where I write down practical problems I experience in life. I noticed over time that the amount of notes related to food and cooking was growing faster than anything else. I then began searching for a solution. I tried over 50 recipe apps, always the premium version if possible. There are some good apps out there but even the best ones only solved something like 50% of my issues. After enough frustration and search I just decided to start working on my own app. That was 4 years ago...
It turns out that solving some of these problems where technically complicated to do, so now I understand why no other app could solve my problems. None the less, after 4 years of work, starting over from scratch 5 times, I have now landed on a solution that technically solves all my problems.
Going forward:
Now I am working on filling the app with data and make it easy to use for normal humans. I am on purpose limiting myself to only perfecting the core functionality of what a recipe should be. I intend to launch sometime in 2026. The UI will be small and limited at first, but it is perfect for my needs. Therefore I hope it will also be perfect for someone else. Over time I will enable more advanced functionality and build it out based on user feedback. I know the backend can support 100% of my needs, but I don’t want to make it bloated. Therefore the UI is on purpose focused on only the most important things and then we will build it out with time, together with the recipe creators and end users.
I have been working on implementing iCalendar/RFC5545 in Emacs Lisp. I recently submitted a large patch and hope it will be merged in the next couple of months:
This will add an iCalendar library to GNU Emacs, allowing packages in core and third-party packages to work with the format. More on the decisions I made and what I learned here:
I’m building an AI-powered fashion search engine that helps people find clothes that actually match their style, fit and price across 1000s of brands and millions of products
Most shoppers spend hours to find the rights product. We’re fixing that with intent-based search that understands descriptions, images and personal preferences.
We’ve hit 25K+ searches in 4 months, growing 50% MoM, and built our own scraping system that makes product data collection 100× cheaper than existing tools.
Still early, but live. Would love feedback on search quality and result relevance.
PS! There are some products out of stock, this is expected, fixing it right now.
I've been working on an open-source containerized agent framework called Capsule Agents. Its built around 3 key ideas I've dealt with inside the agent ecosystem
1. Agents become far more capable when they have access to a CLI and can create or reuse scripts, instead of relying solely on MCP.
2. Multi-agent setups are often overvalued as “expert personas” but they’re incredibly effective for managing context, A2A is the future.
3. Agents are useful for more than just writing code. They should be easy for non-engineers to create and capable of providing value in many domains beyond software development.
My friends and I have been hacking on http://dateit.com for a while.
It's an event planning app (works best on iOS and android, but there is a web app) with lots of fun features:
We started working on this all the way back during the Covid lockdown when we wanted to capture that "facebook events" experience without the facebook.
It's grown into something much more than our original idea. Most of the features are free and we have a fair pricing model that doesn't nickel-and-dime you like many of the competing apps do. Would love your feedback!
I've been working on a factory sim game for some time now and I'm finally getting to a stage where I might be comfortable enough showing it off soon and maybe even try my luck with some sort of crowdfunding.
It's intended to be a sort of social network focused on IRL groups/communities and finding others with the same interests in the same area, and just building local communities in general.
It's currently still a part-time venture, but I'm planning a launch on HN soon to get input/gauge interest in the latest iteration. FWIW, I posted the initial version on HN just over a year ago and got a ton of amazing feedback, much of which I've incorporated over the last year - https://news.ycombinator.com/item?id=40717398
We’re building Ward, a security browser extension that uses Gemini Nano, an on-device LLM, to scan for phishing, scams, and other threats from the DOM.
Think of an antivirus for everyday web users, like young children, older adults, and less savvy individuals.
We recently participated in the Google Chrome Built-in AI Challenge 2025 and have submitted to the Chrome Web Store.
We’re looking to meet people who may know someone Ward is good for and would want to provide feedback. Alternatively, we’d love to chat with any IT Managers/Directors of Security/Google Apps Admins who would be interested in piloting us as an anti-phishing enterprise solution.
You can DM or hit me at fitzgeraldcedric(AT)gmail.com :)
I built a website (https://hpyhn.xyz) for hacker news users for reasons:
1. hn comments are valuable, I've spent a lot of time going through hn comments.
I think there are valuable comments buried in the threads with fewer points, so it's not enough to just read top3 threads.
2. Sometimes a good post is ignored due to a bad title, sometimes I still have no idea what the post's theme even after I read a few paragraphs.
3. I want to filter out some posts I'm not interested in, but I realized I need read some other posts it's not a simple yes/no problem, so I gave every post a interesting score based on my own preference
so I want a tool to save my time while not missing out too much on hn
Recently launched my free app for gardeners to share plants with each other, Plantshare.
Now I'm working on a few changes to the app, most notable is moving any plants marked as 'for sale' out from the main section because it turns out people are more greedy than I anticipated and it's getting in the way of sharing the free stuff, cuttings etc.
There's also some demand for a web front end so I might work on that next. (currently only android and ios)
I had an initial boom of downloads in South Africa but lately most new downloads are in USA.
I buy and operate e-commerce brands that sell on Amazon, and I'm working on handing as much of the operation of the business off to AI as possible. Doing this both for actual time savings for myself and also as my big-picture eval of new AI models + products as they come out.
I also started a Substack to document it - here's a recent post on using Gemini to screen inbound emails with prospective acquisition targets via a Google Apps Script that evaluates the listings in those emails daily: https://theautomatedoperator.substack.com/p/screening-inboun....
- News, weather, newsletters, social media posts, reddit, youtube, etc. all appear in your digest.
- Launching a mobile app as well now but this will be slightly different than the web app. It will use AI to automatically prepare your daily digest based on preferences/settings you give it during onboarding. Each day when you wake up you'll receive a notification of digest being ready, and it will contain all the content you care about for the day ahead (meetings, weather, health data, commute data, news, etc).
I still need to go back working on https://www.cinekids.info/ , a tool I made for myself to use before showing any movie to my 4 years old kiddo. It scrapes reviews from some parent friendly movie reviews websites and aggregates them.
I'm also automating more stuff around bookmarks management -> I used to manage an awesome list as a repository on GitHub for myself and over a couple of years there are relatively many stars on this repository. However I lost interest in maintaining this repo manually as I prefer to save my bookmarks on Shaarli. I'm coding a CLI tool to automate the work of syncing my shaarli links to my public "popular" (+500 stars) repo at https://github.com/SansGuidon/bookmarks
Myself and other users complain a lot about the "native" Plex -> Ombi watchlist integration being broken, I coded some sync tool to workaround the app malfunctions, by using Ombi, Plex and TMDB (The Movie Database) APIs and ensure Ombi is always up-to-date based on Plex watchlist. This works very well and allowed me to put a stop to the complains from my family members :-D
I'm also automating most of my email/linkedin interactions thanks to userscripts.
And I keep automating more of the work I do around Cloudron, which is a very fun and stable platform to manage apps on VPS without the pains.
A webcam & microphone JS tester library that you can put in front of your WebRTC or MediaRecorder web app to diagnose any possible issues (the presence of getUserMedia, secure context, required devices, policies blocking device access, supported resolutions, etc.). It also primes your users’ OS/browser permissions before they get to the real app.
Is there a cadence for these threads? I had in mind to "be prepared" to post in November's with what I'm working on, but I expected it to come around on the 15th (mid-month).
(The proprietary apps are built with the toolkit).
I've struggled to pitch or articulate the vision here, but my latest pithy attempt is: scaling self-actualization by mechanizing the nested loops described by Anders Ericson's 'deliberate practice'
- Inner loop: individual learners maximize their skill uptake velocity and performance peak by adhering to domain specific best practices
- Outer loop: domain specific best practices get refined according to innovation or serendipitous discoveries from the inner loop (eg, someone is observed to beat out prior best practices)
As mentioned, I'm flat-foot posting here, so the pages aren't all prepped. https://flutor.app/dbg and https://letterspractice.com/dbg show some of the innards. Not linked, but I'm especially fond of https://letterspractice.com/dbg/juggling - the premise here that as child practices the letters, the letters exemplify the principles of effective practice in alliterative skill domains (juggling Js, batting Bs, flossing Fs (it's hard ok?))
All-in-one router/nas/firewall/adblock/app server (each piece optional)
Declarative and reproduceable as it is built off of NixOS, but administered through a UI, so the user doesn't have to know this.
All state managed in a backup bundle, so it can be hosted at home or in the cloud.
Goal is to have a box you plug just like a wifi access point into your modem, follow a simple web-based installation flow, then you are running a personal cloud.
Website is self-hosted by HomeFree, but installation instructions are very out of date, which I'm working on right now. There are now installation ISOs that I will soon add a link to.
I recently added FSRS (besides also having Anki integration). Now I'm working on replacing the need for reviewing flashcards by having reading activity automatically mark flashcards (current and future) as reviewed, so that you can get many of your reviews in just by reading native materials that interest you instead of sacrificing most of your study time to contextless flashcard grind.
I'm also working on a manga mode using a new manga OCR tech I have licensed out of academia that is ahead of state of the art alternatives.
OpenRun runs as a web server, which does GitOps driven app deployments. You can currently deploy apps on a standalone machine, on top of Docker/Podman. Working on adding support for deploying on top of Kubernetes. On Kubernetes, OpenRun will replace your build jobs (Jenkins/Actions etc), CD (ArgoCD etc) and IDP (Backstage etc). The same declarative config which works on a standalone machine will work on Kubernetes, with no YAML to maintain.
I've done this with C++ in the past, but ran into substantial friction with the CMake toolchain, specifically w.r.t:
- cross-platform compilation with large dependencies (vcpkg ports)
- running multiple compiler chains in the same build step
That second point is necessary if, for example, there's some AOT asset processing work that uses a native tool, and you're building for web. Expressing that some targets should use the emscripten toolchain while others should use the native toolchain, and interleaving between them, was a mess. TBF, I haven't done that with cargo or build.rs yet and it may prove to be equally frustrating.
Other features:
- undo/redo using a stack of swappable states
- serialization to disk (native) and LocalStorage (web) with some integration tests in progress but I am not satisfied with the correctness of my implementation: I want to *guarantee* that all information is preserved round-trip, but I also want a Patek watch.
- OBJ, GLTF, GLB models are loaded as "blueprint scenes" which are distinct from the "world scene." I made this distinction at the type-level because "scenes" are groups of entities that use newtype IDs (`LightId(u64)`, `MeshId(u64)` etc.) as primary and foreign keys to refer to each other, and I wanted to make it impossible for an entity in scene A to hold an ID for an entity in scene B. Instantiating a blueprint requires creating new IDs for every object.
- W.I.P. Alpha rendering, depth sorting, overhauling the material system to support multiple shaders (tough) that may be compiled after the engine itself (even tougher, a lot of runtime dynamic state and schema validation stuff), physics, scripting - oh yeah!
- Scripting using JS on both web (runs in browser itself) and desktop (uses a packaged JS runtime `Boa`) but Boa doesn't perform well on desktop in debug mode so I'm exploring other options.
I'm getting back in to audio programming, starting off with Pd[1] and reading Miller Puckette's book[2]. I'm planning on writing some low-level C libraries afterwards, using The Audio Programming Book[3] as a guide
I'm building a tool for managing Google Ads campaing called Rudys.AI:
- Search campaigns:
- automatically crawl website, find the offerings and generate new campaigns
- Provide qualitative recommendations such as, relevant terms to include/exclude, e.g. including typos as keywords, improvements on landing page
- Shopping campaign:
- Smart labeling of all products to allocate the budget among Top performers, Rising and Ghost products to avoid draining the budget. E.g. instead of a campaign with 10k products with one budget , turn it into 5 campaigns with different budgets doubling down on what works.
Idea came from one of my clients, where they wanted to use AI agents throughout the organization but at that moment there was no centralized governance or security concepts. This pulls everything at one place and tries to solve the security concept with per-user credentials, which can be provided out-of-band through the MCP protocol (generated a one-time link end-user can use to sign in to the underlying MCP server with OAuth or provide API key)
I'm still working on WithAudio (https://desktop.with.audio). A one time payment Text To Speech Desktop App. Because I think everything doesn't have to be a subscription.
In October I finished the PDF parser. It was a big challenge extracting PDF contect with correct paragraph breaks on user's computer locally. I'm gonna write about this soon.
Now I'm working on a web extension that talks to the app that run locally on your system so you can use WithAudio in your browser with very good performance, 100% local and private.
I’m working on a Chrome extension called Console Dock, which adds a floating dev console window directly inside the page. I built it as a fun side project because I often work on smaller screens and hate constantly switching or resizing panels.
Still very experimental, but it’s already proving useful for quick debugging sessions.
Working with a group of friends on a "microcontroller-for-makers" kind of thing called the MakerPort. (https://makerport.fun) Sort of similar to an Arduino or micro:bit, but uses the MicroBlocks programming editor (https://microblocks.fun) created by John Maloney, who was the original team leader for Scratch at MIT for 11 years. The hardware includes an mp3 player, I2C ports, accelerometer and true capacitive touch sensors.
I’ve been working on http://www.13radar.com for the past 4 months, and we launched about two weeks ago. The platform tracks hedge fund portfolios in real-time based on SEC 13F filings.
I’m responsible for product research, analysis, design, development, and promotion. Most of the workflow was powered by AI tools — more than 60% of the research, design, and coding involved AI assistance. Initially we used Bootstrap for responsive design, but later switched to a lighter TailwindCSS framework.
Right now traffic is very low (just a few dozen users per day), and I’m trying to figure out whether that’s a product issue or simply a lack of promotion. Honestly, it’s a bit discouraging, but I’m hoping to learn from feedback and iterate.
Curious if anyone here has experience growing early-stage products with niche financial data — how did you approach the balance between product refinement and marketing?
I finally started modding a total war game (Warhammer 3). I played the series since the very first title, Shogun and I always wanted to improve the control over units and add my custom AI to not micromanage everything, but assumed it would be too time consuming and distracting from my main work. And well, it likely would have been.
But thanks to LLMs, I finally decided to give it a go and got something basic working in a short time, hurrey for AI assisted coding!
Feels empowering to be honest. No idea if I will really implement the main ideas, that I have since a long time, but I know that I can now if I want to.
Working on a CLI tool called xpire which can add expiry dates to filesystem structures: https://github.com/benibr/xpire
Idea is to use filesystem specific structures (eg. snapshots) if possible to prevent long treewalks for searching and store the dates in the filesystem itself not a seperate database.
It's written in go and currently supports btrfs snapshots and zfs datasets.
I wanted to give anyone the magic power to make himself an FPS game of their place (appart, museum,ect...).
Still not perfect but it's light and my 3D editor is simple enough for anyone.
- No coding.
- And no need for Unity or Unreal.
Too many things I wanted to analyse went to nothing because I was too lazy to fetch information and the put it inside a spreadsheet cell by cell. So I developed this to help me extract docs into spreadsheets while also having access to the web.
Now working on a vibe-coded version of it where instead of showing a spreadsheet, it will be able to generate data-focused tiles and apps
I was working on a iPad-focused Dungeons & Dragons app focused on the Dungeon Master called Campaign Codex but I got a little bored with building CRUD apps.
Decided to pivot and start learning about databases and their internals more. Currently pulling down Clickhouse and reading some code along with the reading the book Database Internals by Alex Petrov.
So I'm technically not "working on" an app...I am working on myself to branch out and attempt to specialize a bit more as I progress in my career.
Working on a phone app that streamlines household management for unmotivated losers (like me) so that they stop wasting money (wasted food) and time (procrastination)
Working on an app that helps me (and other people) do household management on autopilot. It helps me manage things, food, expiration dates, shopping, chores, and I get notified periodically to review my lists. I waste way less food and I actually do my chores instead of procrastinating. https://okthings.app
Learning that RCS is even more of a monstrosity and a lie than I thought a few years ago. Yikes. Lots of groundwork a decade ago setting the stage for "the carrier creates a common service anyone can interact with" (like sms/mms currently do, which would be great) but in practice it's pretty much 100% "only the carrier app or Google/Samsung messages has access to literally any of it".
Yeah I'm not gonna touch it and I'm going to actively encourage people to disable it. Use signal instead.
Working on a low cost, miniature Bluetooth tracker. The inspiration was my parents keep losing (forget) their spectacles in the house. I wanted to build something that is very easy and simple to use and it was important to keep it small. SO the form factor is something like an airtag but 10x smaller which can be just stuck on to the spectacles and forget that it exists. Next step, obviously is to build a simple app that shows the location of this tracker with a range based on the Bluetooth signal strength.
Made some updates to this open-source library I wrote to render audio waveforms using the GPU on the browser (WebGPU).
Example on the site. Works without enabling flags on Chromium browsers. There's an example to scrub and zoom in real time on some audio. Feedback welcome!
For fun have been creating a mashup of old school DnD map generation using Commodore "10 Print Chr$(205.5+Rnd(1)); : Goto 10" style logic (in TS/Svelte/SVG):
Have been down a rabbit hole ensuring the stairs are realistic and that grid connects properly. Lots of fun and frustration with AI coding tools trying to solve that (they mostly don't/can't). Some fun detours learning a little Prolog to help out as well.
I'm building a coding agent, named VT Code [0]. VT Code is a Rust-based terminal coding agent with semantic code intelligence via Tree-sitter. Supports multiple LLM providers with automatic failover and efficient context management. Support OpenAI, Anthropic, Google Gemini, xAI, DeepSeek, OpenRouter, Z.AI, Moonshot AI, MiniMax, and Ollama (local & Cloud). Agent Client Protocol and Model Context Protocol fully support. VT Code supports a rich set of configuration options, with preferences stored in vtcode.toml. Has both Visual Studio Code and Open VSX extensions so that you can install in VS Code or Cursor, Windsurf, Eclipse.
I've been building it for several months now and enjoy the learning process, I also wrote a blog post and learnt a ton about terminal, ANSI processing. The learning has been immense for me, I now have working knowledge of ANSI escape codes, grapheme clusters, terminal emulators, Unicode normalization, VT protocols, PTY sessions, and filesystem operations, all the low-level details I would have never think about until I were implementing them. [1]
Skip the release (I cannot delete it), go full repo clone.
Is it ready? Yes, almost entirely, unless you are a firewall expert using few remaining nftables-supporting but esoteric features like ‘synproxy’. Gotta master that first before I can highlight it properly.
Finally started getting back into game programming and have been working with Lua and Love2D - been trying my best not to get bogged down in the weeds (eg how do I animate a 3d cube on a 2d plane?) and I’m focusing on learning how to actually work with the Love system and organize my code. I’m getting a crash course in jj as an added bonus!
It's a honeypot system that uses AI to mess with attackers. When someone tries to hack your app, it detects them and serves up fake responses based on attack type.
The system learns from attackers behavior and creates convincing decoys to waste their time and frustrate their efforts. It's basically a trap that gets smarter the more attackers poke at it.
Intentionally made simple and centered around plain text files and editing speed. I've spent a week on the prototype, now it's good enough to dog-food. Would like to eventually distribute it as a multi-platform app.
I've been really frustrated with the state of networking and discovering new career opportunities lately. Both in person and online I feel like there aren't very good tools and I have a growing disdain for LinkedIn. I wanted to make a tool that helps ambitious navigate their career goals and meet people who are going to move the needle. It's called Catalyst: https://getcatalyst.tech/
I have been working on https://easymiet.eu/
It is specific to the German rental market. Basically if you want to rent an appartment in Germany most landlords require you to fill out a non-standardized self-disclosure form. That can be annoying to the landlord because especially in larger cities you might have a couple of hundret applicants and it is also annoying to the possible renter since they have to fill out the same information for every apartment they apply for.
This is where easymiet comes in. As a landlord you can generate a viewing, shared it through QR or a link. Interested renters can apply using their profile. It also has a application approve and dismissal workflow automatically sending emails to the applicant.
My plan was to monitize it selling applicants the ability to add more info to their profile like a picture or relevant documents. However so far I haven't been able to generate much interest.
The tech stack is Next JS with BetterAuth, Drizzle and Postgres. It is hosted on a Hetzner VPS using Kamal ( wrote a blogpost about that if you are interested: https://markow.dev/blog/complex-next-js-app-kamal )
Bread and butter stuff. Pulling together all of the assorted algorithms and data structures I implemented in C over the years out of necessity - lists, trees, stacks, queues, hash tables, memory pools, etc. - aligning the APIs, cleaning up and merging into a library. It's a background project but super fun. This and several parsers - JSON, some config file formats, and parsers for some GPS / GNSS receiver data protocols. FSMs also always feel like nice, clean fun. And prematurely optimising every bit.
I’m building Sink It for Reddit (https://gosinkit.com), a browser extension to make Reddit usable on the web. It’s similar to RES with broader support for all the different Reddit UIs (there are 4).
It’s mostly free with only old Reddit features gated behind a one time $5 fee. The app has a few hundred thousand users on the Apple platforms but recently it was invited to join Mozilla’s Recommended Extensions program so I’m hoping to grow the non-Apple user base.
Basically, I'm building tooling and providing these to community run clubs that help turn kids from consumers into creators. I'm focusing on game development initially, but have plans to expand into other areas of creativity.
I've much experience building software for creators. I'm a (core) developer of Tabletop Simulator. I worked at a now defunct startup which allowed people to create and distribute their own interactive fiction stories using partner third-party IPs.
I have a background in EdTech. I used to be Head of Engineering at Ender, where we ran custom Minecraft servers for kids: https://joinender.com/ and prior to that I was Head of Engineering at Prequel / Beta Camp, where we ran courses that helped teenagers learn about entrepreneurship: https://www.beta.camp/. During peak COVID I also ran a social emotion development book subscription service with my wife, a primary school teacher.
But of course the programmer in me needs to make my own software to design patterns with code. Enjoying using paper.js to do all the complicated math to calculate lengths and angles.
I write almost daily article about libGDX - my most favorite code-centric game framework. There are now over 100 articles covering topics from basics to advances. I plan to post more because this is more or less a passionate project.
In the future I hope it evolves into a definitive resource for learning game development with Java and libGDX.
A tool for “grep”ing MIPS binaries[0] to find duplicate code (functions, segments, sections) primarily to aid in decompiling.
It does some neat things to match instructions while avoiding location dependent references, then creates a hash that can be used to used to search binaries in linear (or faster!) time.
Still a WIP, but being used on at least one decomp project.
Ugh. It's time for me to start transitioning my iOS/Watch/Mac programs to be "Liquid Glass-native."
I should be able to do it with my various personal apps, but one app I've written, was done in concert with a professional graphic designer, and he is not happy with LG, so I expect that app to be a pain.
Built min., it's like Airtable on top of an email client. Add any column you want, extract structured data from emails automatically, so you can sort, group, emails for your team.
First use case is hello@ email addresses for fellow founders. Free for founders!
We are building end-to-end accessibility compliance tool[1] that will take care of auditing, remediation, verification and generation of ACR/VPAT.
Because of the well bound nature of the problem space, we are able to unlock a lot of power from LLMs and put together a good end-to-end product that delivers the promise.
Still early days. I know there are lot of folks who care about a11y. I would love to chat and learn from your experience.
I am finally making my own blog. I have been only planning for ages. I found that I had a lot to say for the past years working on AI, and I want to record them somewhere. I do not expect a lot of visitors or at all in fact. The blog is going to be just for me to remember stuffs and to keep track of them.
I am using hugo to build suckless static pages. LLM helped me so that I don't need to read all their docs. I haven't finished it yet nor posted a single blog. But there will be one soon.
I started the project when ChatGPT 4 was first released, using it as a way to explore what LLMs could actually do. I also find working on it very relaxing, there is something cool about uncovering secrets hidden in code for more than twenty years.
I'm thinking a lot about the ARC-AGI ML benchmarks, especially the "shape" of the dataset and what that says about how it should be solved. I think there's good reasons to believe that deep learning - at least differentiable SGD backprop style - is a bad fit for this specific benchmark, due to the tasks being almost entirely discrete symmetries, and also having so little data to approximate the discrete symmetries with continuous ones (considering deep learning to be the learning of continuous symmetries). I think that a more explicit and discrete approach is the way to go, and it's possible to build something surprisingly general and not heuristic-based even without gradient descent, guided by minimum description length to search for both grid representations and solver functions. I'm looking for teammates for ARC-3 so hit me up if this sounds interesting, I'd love to chat!
I made a viewer on my website to build intuition for my preferred perception algorithm which is entropy filtering + correlation. Pretty neat to check out the heatmaps for random tasks, there is a lot of information inherent in the heatmap about the structure of the task: https://synapsomorphy.com/arc/
I’m working on a performance capture library for Python because I often need to know the performance of backend systems I maintain. I frequently build tooling to capture performance and save it for later analysis. I/O operations get costly when writing lots of data to disk and creating good real-time analytics tools takes a lot of my time. I wanted a library that captures real-time performance analytics from Python backends.
This is why I wrote kronicler to record performance metrics while being fast and simple to implement. I built my own columnar database in Rust to capture and analyze these logs.
To capture logs, `import kronicler` and add `@kronicler.capture` as a decorator to functions in Python. It will then start saving performance metrics to the custom database on disk. You can also use the middleware for FastAPI.
You can then view these performance metrics by adding a route to your server called `/logs` where you return `DB.logs()`. You can paste your hosted URL into the settings of usekronicler.com (the online dashboard) and view your data with a couple charts. View the readme or the website for more details for how to do this.
I'm still working on features like concurrency and other overall improvements. I've added a lot since the last time I shared on HN. I would love some feedback to help shape this product into something useful for you all.
I wanted to see if I could use generative AI to build a whole business. Not just a digital product or an app — but the entire business from end to end:
(Spoiler: I did manage it and launched in just 75 days from start to first order)
- Three tier corporate structure with manager-managed LLCs and a private WY LLC as manager, complete with a knowledgebase-powered assistant that can write share registries, banking resolutions, meeting minutes, contribution contracts, loans and more
- Supply chain management with proprietary lot tracking that tracks PO line items from production to delivery
- Generated the base for all product images, helped write and research label design and text, wrote SEO titles and product descriptions
- Used Claude Code to build the entire Shopify theme for the site, all collections, product pages, legal pages and a COA database to boot
- Used Claude Code to build a custom Shopify app to integrate lot tracking into the shop so that when lots sell out the next lot is queued for sale and all lot-related metadata is synced to the product variant and displayed on the product page
- used Claude Code to build a super analytics platform that combines the data from GA4, Shopify orders, and Meta business suite into a single feature store where I can wrangle the data to ask/answer any question I can dream of about audience segments, product popularity, what’s working or not, and get insights on what to do next
Currently building a suite of media inspection and encoding tools for video engineers: https://video-commander.com.
Still very much a work in progress, but expecting to release a first version by end of year. Built on Tauri, in case anyone is curious.
I've created various open-source and commercial tools in the multimedia space over the last 10+ years and wanted to put it all together into something more premium.
I'm working on Habitat. It's a free and open source, self-hosted platform for communities to discover and discuss their local area. The plan is for it to be federated.
I've recently solved an issue with cron jobs that was driving me mad for ages. I feel that I'm pretty much nearing a first tagged release, but I feel that I need to work on branding and messaging a bit before I do. I can't tell if I'm procrastinating that final push to something that makes it more official or not.
I am working on a SQL query engine for multi-dimensional and hierarchical analysis compatible with Apache Spark, ClickHouse, BigQuery, Snowflake, PostgreSQL and DuckDB.
GitHub https://github.com/squashql/squashql
Website
https://www.squashql.io/
I'm working on a book about using WebViews for cross-platform music software GUIs. It has a particular focus on performance, which I gave a talk about at the Audio Developer Conference last year:
Assets — Personal Wealth Tracker
https://github.com/venil7/assets
A self-hosted net worth and portfolio manager. Track multiple portfolios (ISA, General, Pension, Crypto, etc.) and monitor individual or total performance. Supports any asset available via the Yahoo Finance API, automatically converts to your base major currency.
The idea is that a generic video message doesn't appeal to a fan of a video game streamer, instead what really would be cool would be watching them react to your best moment in a game.
Our software removes all friction from the journey, the fan doesn't even need to record their own gameplay, we have bots set up that can load up someone else's gameplay just from their username, record their highlight for them, upload it to our platform, then the streamer just needs to come in, watch a ~60 sec clip, give a genuine reaction, press 'submit' and its all done.
There's a few markets I'm trying to find product market fit in: ~1-2 minute coaching sessions, sports commentator style commentary over your clip from influencers, hyped up reactions from your favorite streamer, a community-focused segment on a stream of watching a compilation of your fan's best moments.
We're ready to launch, just trying and struggling to find the first few people to sign up.
I'm currently in a group project for my edtech entrepreneurship course where we've launched a start-up website off of lovable, which provides an ai chatbot that helps check CVs and run mock interviews for finance and consulting students looking for internships: https://next-step-craft.lovable.app . Test it out now!
I’m working on a platform to run a friendly competition in “who builds the best reasoning AI Agent”.
Each participating team (got 300 signups so far) will get a set of text tasks and a set of simulated APIs to solve them.
For instance the task (a typical chatbot task) could say something like: “Schedule 30m knowledge exchange next week between the most experienced Python expert in the company and 3-5 people that are most interested in learning it “
AI agent will have to solve through this by using a set of simulated APIs and playing a bit of calendar Tetris (in this case - Calendar API, Email API, SkillWill API).
Since API instances are simulated and isolated (per team per task), it becomes fairly easy to automatically check correctness of each solution and rank different agents in a global leaderboard.
Code of agents stays external, but participants fill and submit brief questionnaires about their architectures.
By benchmarking different agentic implementations on the same tasks - we get to see patterns in performance, accuracy and costs of various architectures.
Codebase of the platform is written mostly in golang (to support thousands of concurrent simulations). I’m using coding agents (Claude Code and Codex) for exploration and easy coding tasks, but the core has still to be handcrafted.
Currently working on building my first 3D printed star tracking rig for astrophotography (via the incredible OpenAstroTracker project) and beginning to think through a 3D printed Dobsonian telescope. Also working on some ceramic glazing techniques to try and make cool gas giant-looking tiles. I'm on a real space kick right now!
A structural biology viewer/editor/CAD-style application. Combines functionality similar to PyMol, Coot, VMD, and GROMACs. Open-source, standalone executable. Built in Rust and CUDA.
And the host of bio libs required to do it. The sort of thing that are mature in Python, for example, but I needed to build for Rust.
I’m currently creating a simple community where people can honestly share their emotions and empathize with others’ feelings (without comments).
It’s a web community where users can receive a comforting message from AI based on emotion analysis of their text, emojis, and chosen colors.
If you have any ideas or comments for improvement, feel free to reply anytime!
(For reference, this service is designed for Korean users — I’m Korean myself.)
I've spent several years since Covid times solo-developing an ad-free website with 50+ solitaire/puzzle games.
I've gathered some feedback from users from HN already and now trying to fix things.
I'm looking to genuinely improve the experience so would be incredibly grateful for any feedback. I'm also wondering what it lacks – any particular games or modes?
A game-agnostic social/legal/financial overlay for virtual worlds. Minecraft, Rust, Roblox, etc.: legal ownership claims (vs possession), titles (recognized by other players or not), laws, player-issued currencies. Smart contracts but with as little blockchain stuff as possible.
The iron rule is no direct interaction with the world. These are things that players can in theory always start on their own as long as they can communicate.
Loads of similar products out there, but non that did all of: open source code with attested releases, recorded mic and system audio to work with any meeting app and used Apple Intelligence for private summarisation. In beta, and also just released a experimental version with self hosted Ollama support.
Working on a little project to make Spotify recommendations better.
You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.
I've been writing https://urbanismnow.com weekly for a year. The idea is to bring you the best ideas from around the world to inspire action where you (c)are.
It's been going well for a side project and now I'm thinking of expanding to have a directory of urbanists on a map so you can easily find people involved in the local discourse and how to get involved.
It's still early in development, but it has a large number of features that I've always wanted. A dynamic entity system so users can create their own entities with their own traits. Random tables. A madlibs still generator. All of these things work together, too. You can have tables that randomly pick other tables values, or you can reference your own custom entities. And all this can be tied to maps or a calendar. Again, all something users can create. And of course, all of this can be shared out so you can have a published gazetteer and encyclopedia of your world that is easy to manage.
Mostly done because existing systems were too clunky, and wikis don't offer the same level of control and reuse. For example, you can reference entities parameters in other entities allowing you to embed data in multiple places and have it have a single source of truth.
Sharecare | Backend Engineer (Contract) | Remote – South America, Mexico, India, Canada | sharecare.com
We're hiring a Backend Engineer to join our high-performing team. This is a remote contract position open to candidates in South America, Mexico, India, and Canada.
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What we offer:
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* Competitive salary based on location
* Startup culture with strictly no BS meetings
* Work alongside top-notch engineers
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Who we’re looking for:
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* Expert in Clojure and functional programming
* Familiarity with GCP and Kubernetes infrastructure is a plus
* Strong knowledge of relational databases like PostgreSQL
* Experience with graph data structures and graph traversal
* Comfortable with Docker and build systems
* Prior experience at startups is a plus
* We don't hire task rabbits — we value ownership, initiative, and problem-solving
* Ability to convert business requirements into scalable solutions
* Ability to think from the customer's perspective — not just "code to spec"
* If you are a self-starter who loves building real-world systems with a clean functional approach, we’d love to hear from you.
We've been tinkering with building realtime talking head models (avatar models, etc.) for a while now, and finally have something that works (well enough)! Operates at ~2x realtime on a 4090, significantly faster than that on enterprise grade GPUs.
The main use case we designed for was language learning, particularly having a conversational partner -- generally we've found that adding a face to the voice really helps trigger the fight or flight response, which we've found to be the hardest part of speaking a new language with confidence.
But in building out the system around the model to enable that use case (tool use on a canvas for speaking prompts and images, memory to make conversations less stale, etc.), we think there's potential for other use cases too.
Building Valori, a Python-native vector database.
It’s basically Lego blocks for embeddings: storage, indexing, quantization — all modular, all hackable.
The goal? Let anyone plug in their own models and search pipelines without touching C++.
Still working on this and some things will definitely change, but IMO the system prompt is already solid, so that the response isn't unnecessarily scary on one hand, but not too general on the other
A database populated with audio metadata (including a link back to YouTube or Spotify or whatever) that includes vector embeddings for the audio. That way I can grab clips of music I like from YouTube, generate vectors for them, then find similar things in the database.
It's off to a rocky start though, as I've initially populated it with YouTube-8M and AudioSet, neither of which are music-specific. The search results can be... Weird.
New (open source) PostgreSQL index type for analytics workloads, which is a read-only drop-in replacement for B-trees. Smol is multiplicatively faster than B-Trees and radically smaller.
Currently working on training language models steered towards certain "states of consciousness".
I have a model trained on publics datasets tied to brainwaves and/eye tracking and text comprehension (have this working well enough to experiment). Now I am training an adapter for various llm architectures to generate text steered to certain neural oscillation patterns (let's call them "states of consciousness" for brevity). I also have a 'rephraser' that rephrases text to elicit these certain states of consciousness. Overall experimenting with creating an suite of tools off my findings with how text relates to the eigenmodes of consciousness. My theory is once I do this I'll be able to do some...interesting things with "AI" agents. lmk if you want to talk about it if you're someone with knowledge in neuroscience/ML. My background is as a Software/ML Engineer so I could use additional thoughts. I do wish I could send a Github/docs which I will soon but this is currently a private project seeking investment for various research/public/private sector applications.
Finished: the 100%-vibe-coded "GPT-5 reviews all my PRs on max reasoning" GitHub app (which is shockingly effective, https://github.com/Smaug123/robocop - probably nothing new for people who already use some product like this, but I like owning my own infrastructure as far as possible, and GPT-5 and perhaps Gemini are the only models smart enough to do this so I can't take this any further).
Currently: back on "write an immediate-mode TUI framework that uses a vdom as its fundamental abstraction" (https://github.com/Smaug123/WoofWare.Zoomies), in the hope that this is the first UI framework that I don't absolutely loathe.
Next: using the TUI framework, write a debugger to inspect the internal state of my deterministic .NET runtime (https://github.com/Smaug123/WoofWare.PawPrint) and to step forward and backward in time.
Next: get the deterministic .NET runtime to a point where a property-based testing framework can identify the deadlock in some very simple buggy multithreaded code. (The framework is not yet able to run Hello World - did you know that's an incredibly complicated program in .NET? - but it can solve a few Advent of Code problems right now, can perform some limited exception handling, limited virtual method dispatch, limited casting between types. Even getting to Hello World might take a year if I'm unlucky.)
A gamified bird sound ID app. Been working on it since May of 2024. While the core functionality of “catching” birds has been live for awhile, I’ve been working on a learning module built into the app. I’m experimenting with ways to teach new birders / nature curious people how to “tune” into different bird sounds. As a birder one of my favorite things to hone has been trying to differentiate songs and calls in the field and I want to capture that experience in the app.
hosting a month-long residency for indie hackers in Da Nang, Vietnam!
we invited 10 of the best indie devs from around the world to live & build alongside us for a month at a beautiful villa. for free. (we have sponsors like OpenRouter, Cognition, n8n, and CodeRabbit!)
I'm working on https://yap.town - an SRS based language learning app.
I would say it combines the best parts of Duolingo and Anki. Anki is great for memorizing words, but you don't see the words in the context of novel sentences. Duolingo is great for exposure to new sentences, but it's oriented around "lessons" and SRS is an afterthought. (Duolingo is also not designed for people serious about learning a language IMO, it's too easy and goes too slowly.)
Had to do quite a bit to get it to work well.
1. At first you would think that if you know all the words in a sentence, that should be enough to understand the sentence. But it doesn't work like that. For starters, words can have multiple meanings. The french word "bois" can mean "(you) drink" or "wood". You want to learn these separately. I trained an NLP model (a gemma3 finetune) that I use to understand the manner each word is used in each sentence: https://huggingface.co/collections/anchpop/lexide-nlp-models
2. Even then, what about a sentence like "you'd better not"? Even if you know the words "you" "had" "better" and "not", you still won't really get this. So I use the wiktionary "multiword terms" category for each language to get a huge list of terms like "'d better" , "you better believe it", etc, and teach these in addition to individual words. And then I only show sentences where you know all the individual words as well as all the terms.
I am building https://arabicworksheet.com, AI powered Saudi Arabic learning app for expats who work and live in saudi arabia. 100% FREE. It generates printable worksheets based on your level, dialect and topics.
I am also building an app for kids to make their arabic learning fun, rewarding and enjoyable. Do try and share your feedback. TIA
I'm working on a performance review (PR) management platform that doesn't require a steep cost and deep integration into HRMS platforms.
It's a need I have for myself and the teams I run – It offers direct PR's, 360º reviews, recording of wins and lessons (something often overlooked), and aims to be a platform for team and individualised growth, that is accessible to small and large businesses alike.
- Bespoke software for the group including: shared embedding graph of highlights and annotations, IRC chat with @ for members and books and authors, collective bookshelf
I wanted to visualize all my walks and runs on a single map. I built a native iOS app that fetches Apple Health and Strava workouts and visualizes them. Privacy was a major factor in building the app, so all the data stays on the device. Next version will have a time-lapse video option. Any feedback welcome.
Spent the last three months building a competitor/lookalike ML model + API. Started using plain embedding similarity and quickly realized you end up with similar noisy results as ocean.io. Ended up using similarity learning which works quite well with little data. Launched this as an API and small web app. Hardest part right now is to fend off scrapers honestly.
I'm trying to learn 3D scanning and printing: I have a few small projects that I want to do to develop the skill:
I want to 3D print a shell that goes over my car fob: I keep leaning on it and setting off the alarm. The shell would make sure the buttons never get pushed.
I want to 3D print a sleeve that keeps the NCAS dongle in my car charger. I really wish there was a dongle that stayed attached with screws or similar.
Been working on my programming language https://github.com/buzz-language/buzz for 4 years now (with some down periods).
Currently mainly working on the tooling: LSP, DAP and formatter.
Also managed to get fuzzing working with AFL++ and found a bunch of bugs with it.
I'm working on _prompt injection_, the problem where LLMs can't reliably distinguish between the user's instructions and untrusted content like web search results.
It's a personal project that grew out of my own frustration. I was annoyed of paying for (and switching between) 8+ different apps for my Pomodoro timer, a secure journal, and habit tracking. I wanted to consolidate everything into one clean, fast interface.
I've spent the last few months building it out it's a full-stack app with a Next.js 15 frontend and a FastAPI/PostgreSQL backend. I'm really proud of the tech and the "minimalist UI, maximalist features" feel.
The app is live and free to use. I'd love any feedback on the app itself, but I'm also genuinely looking for advice: What's the best way to find your first 100 users for a new productivity app?
I figure having real users is a good resume boost and its an app anyone can use so I thought getting users would be easy but I've been struggling with it
A place to find great blog articles by regular folks related to dev/tech world.
Wondering about the best way I can add a weekly newsletter built on top of the content currently being ingested and still looking for more sources to add to the database (let me know if you have any good recommendations).
Trying to keep it simple but I can already feel some "design pressure" to think about making the DSL more complete (language) by adding features like loops and variables. Still early days!
An AI-powered social media management tool that creates, schedules, and publishes content automatically across Twitter/X, LinkedIn, Facebook, Instagram, and Threads.
*The problem:* As a solo founder, I was spending hours each week on social media - writing posts, scheduling them, managing multiple accounts. I wanted something that could handle the entire workflow automatically while still letting me stay in control.
*What PostSam does:*
- AI generates content tailored to your brand voice (you provide initial brand info)
- Creates full content campaigns with posting schedules
- Calendar interface to review, edit, or reschedule posts before they go live
- Auto-publishes to all connected accounts
- Learns from your edits to improve future content
*Current status:* Live and working. Seeing good engagement rates from users who set it up once and let it run. The AI content quality has been surprisingly good - it adapts well to different brand voices.
Tools to help my mental health tracking[0], and sharing with others how I manage my limited amount of energy[1]. They're kind of related, since mental health impacts my energy, so I've needed to prioritize and really make sure I'm spending my time and energy on things that matter. Usually, there's a good mix of things I enjoy doing with things I gain a lot out of. I've spent a lot of time thinking about this!
I've used my app in various forms for around 5 years, rewritten multiple times. But now I'm creating surrounding tooling to help others put my mental model for personal life prioritize to use. I'm writing in the "Saving Spoons" Substack as I go, trying to explain why and how I do things, with advice for others trying to do the same thing.
I continue to work on My Financé, my personal finance tool.
I’ve been struggling to find substantive traction, so I’m trying to niche down to make the tool really helpful for people who want to quit their jobs.
I built a rudimentary planning and forecasting engine, and am trying to run paid ads to see if the signals resonate with people. I don’t love ads, but maybe trying to understand them will further inform my opinion on them.
One thing I would love to come up with is a way to make the app fully local first, while continuing the ability to sync accounts via plaid. It would be great to not be able to see people’s data at all. Im trying to figure out if there is a good user experience I could provide while minimizing the amount of data I actually have access too. Maybe this feature won’t matter to my primary customers though, I’m not really sure.
I still have a ton of fun working on it, and if it never really makes any money I consider it a great success for my personal learning.
I’m working on Reflect [0], it’s a privacy-focused app for self-tracking and self-discovery. You can track metrics, run self-experiments, set goals, view correlations, visualize your data, etc.
Made a website to host a blog! Right now it's empty except for one post describing the process of setting up the blog. I plan to add more stuff once I finish this semester in college.
Historical public companies Merton Probabilities of Default.
A project just for fun and still having to finish a couple of things.
I plan to make the datasets public (everything but some raw market data as vendors don't allow that) and also about to add the explanation of what Merton PD is.
Currently its at like 90% completion but there are some subtleties that probably need to be worked out a bit more. The PDF linked from that page explains all the details (although for reading just peeking at the charts on Page 4, 5, & 7 should get someone to reading it fine enough). Currently both Alice In Wonderland and Dr Jekyll are fully transcribed into the reform if someone wants to jump into seeing it in action. Certainly interested in thoughts and complaints of the system.
Also looking here sometime soon to playing around with an improved SI unit system. So if anyone has any new ideas here too I'd be very interested.
Examples of things to be touched upon would be like:
- Make g (not kg) the base mass unit. Making 1 m^3 of water = 1 g
- Bring commas to be the universal decimal point separator.
Frontend framework in JavaScript that requires no build step, relies on DOM and SSR and can be used to build both SPA and hybrid apps without VDOM, js templates, hydration or putting HTML (or worse, css) inside JS code. It'll also have a very sophisticated declarative state manager which makes managing state and ui transitions a breeze. It's basically anti-React.
I'm starting a project soon, with the clear idea that:
- I will not consider it feature-complete
- It might be a waste of time if the performance isn't what I imagined
Basically, I have a pain point with pytest being a bit slow. Nim and Rust (and other languages) have ways to transpile Python code into the other language. I know some Rust tools to run the tests, but they have some differences from pytest.
My idea is to have a runner that transpiles the code to either Nim or Rust, compiles it, and runs the compiled tests. Test discovery for sure would improve, but I have no idea at all if the compile + run time would be smaller than just running pytest normally.
There are a lot of challenges in this project, so I'll probably use it to learn another language and some new skills, instead of building something aiming to be usable out there.
Curated LinkedIn topics + AI drafting: validating before building
I'm exploring building a weekly curation service for professionals who want to write on LinkedIn but struggle with "what's worth writing about."
The thesis: In the AI era, execution (writing) is commoditized. The real bottleneck is editorial judgment... knowing what topics matter before they're obvious.
The concept: Weekly email with 5-7 curated topics (tech trends, policy shifts, market movements). Each topic comes with sources, multiple angles, and context
Choose your perspective, AI drafts a polished article
Why I think this could work: I've been manually doing this for myself for years. Pattern recognition at scale is hard to automate, but pairing human curation with AI execution might work.
Target market: ~30M professionals who should be building thought leadership but don't have time to spend on research.
Current status: Validating demand before building. The hard part isn't the AI, it's systematizing the trend-spotting and curation process without losing signal quality.
Curing broken developer heads.
Good software engineers are good, because they are non neurotypical with many downsides such bad emotion/feeling management with huge avoidance.
My point to help to build your own MentalOS that works for, to live smoother lives without huge up and downs.
I have been working on Buckaroo - my table display library for dataframes in notebook environments. Buckaroo adds table and analytics features like histograms, summary stats, sorting, and search to every dataframe. Recently I have been working to make it work better with large datasets.
This involves making it lazy for polars, allowing it to read arbitrarily large files no longer requiring loading the entire dataframe into memory. When a large dataframe initially displays, no summary stats will be available. Summary stats are computed in the background in groups of columns. Then results are cached per column. To accomplish this I wrote a polars plugin in rust that computes hashes of columns. Dealing with large data like this is tricky, operations sometimes crash, sometimes take all available memory, and sometimes they just run for a very long time. I have also been building an execution framework for Buckaroo. It uses multiprocessing based timeouts, and the caching to execute summary stats in the background.
Being able to control the execution, recover from timeouts, crashes and memory exhaustion opens up some interesting debugging tools. I have written methods that take arbitrary groups of polars expressions and produce a minimal reproduction test case through a git-bisect like process.
All of this assures that if individual columns of a dataframe fits into memory, summary stats will be computed for the entire dataframe in the background. And because it is cached, the next time you open the same dataframe, the stats will be display instantly. When exploring data I do this in an adhoc way manually (splitting up a dataframe by columns and rows), but it is error prone. This should all be automatic.
I will be presenting this at PyData Boston in December.
The Column's the limit: interactive exploration of larger than memory data sets in a notebook with Polars and Buckaroo
-https://salespark.app/apps/discount-spark: A Shopify app that allows merchants to create more powerful discount codes so they can create stronger offers for their customers.
What I recently built but didn't find a successful product market fit:
-https://wordazzle.com: A word game that's designed to expand your vocabulary with exceptional words.
-https://spicychess.com: Chess, meet boxing! Imagine playing chess BUT you can also smack your opponent. Now, if you smack em enough times to drain their health completely(yes, you have a health bar), you can steal their turn. It's fun, a little evil, but after thousands of $ spent on marketing, never found critical mass.
A web app for my music needs - metronome, ABC notation editor with MIDI playback and PDF render, an embedded YouTube video player with a chapter/section creator based on timestamps and a looping feature for the chapters for practicing
Offline first, everything is saved to Local Storage. Sharing is also purely serverless - the ABC text and the video chapter defs are shared via query parameters after compression and base64 encoding.
I've been building a little toy computer and assembly language that's interpreted in python. Pretty close to the first release (and introductory blog post) and a lot of fun to build (and learn a bit more about real assembly as I go).
I'm building Your Next Store (YNS); it's a Shopify alternative built with React and Next.js.
We provide an opinionated boilerplate tailored for tools like Claude or Codex, so designers and developers can build storefronts faster and more easily. It enforces a clear structure to start from while keeping full control over design, animations, and the overall storefront experience. It’s built on top of Stripe, with our higher-level commerce abstractions, like "add to cart", "checkout", "pay", "browse products" etc; plus a Commerce CMS so merchants can manage everything smoothly once their store is live.
If youre planning to sell something online and want a modern solution, hit me up! :)
I wanted a simple retrieval index to use splade sparse vectors. This just encodes and serializes documents into flatbuffers and appends them into shards. Retrieval is just parallel flat scan, optionally with reranking.
The idea is just a simple, portable index for smaller data sizes. I’m targeting high quality hybrid retrieval, for local search, RAG or deep research scenarios.
SPLADE is a really nice “in-between” for semantic and lexical search. There’s bigger and better indexes out there like Faiss or Anserini, but I just kinda wanted something basic.
I was testing it on 120k docs in a simple cli the other day and it’s still as good as any web search experience (in terms of latency) — so I think it’ll be useful.
We’re still trying to clean up the API and do a thorough once over, so I’m not sure I’d recommend trying it yet. Hopefully soon.
I'm working on SuperCurate (https://getsupercurate.com), which is geared towards note retrieval and curation rather than note creation.
Think filing cabinet for your notes, web clippings, images and PDFs.
I wanted fast search and filters for my Evernote archive so I could drill down and surface exactly what I was looking for.
We recently launched CapitalReach.ai - https://capitalreach.ai
We built it to make fundraising easier for founders, it uses AI to help you:
1. Find and match with the right investors automatically
2. Personalize and automate outreach campaigns
3. Track investor responses and manage your fundraising pipeline in one place
The goal isn’t to replace the hustle, just to remove the repetitive parts so founders can focus on building relationships.
Would love honest feedback from fellow founders and investors here:
Does this solve a real pain point for you?
What feels missing or unnecessary?
How do you currently manage investor outreach today?
This month I wrote a small Windows utility to keep a PC "always awake": prevents the PC from going to sleep (using a Windows API that exists just for that) and simulates invisible mouse movements every 60 seconds to keep apps like MS Teams happy, so that the user always appears active.
There is a PowerToy thingy that's similar but it's full of options and command-line flags. My version has no options, it's just a tray utility that can be toggled on (green) or off (orange) with double-click. There are also physical mouse jigglers but they're cumbersome, and many have visible mouse movements, which is extremely annoying (not all of them do this but many do!)
The full install file is just 100Kb, works on all versions of Windows starting with Win7, installs without admin rights. Can't live without it!
I need to make a website for it but I'm procrastinating on that one last step...
If you're into movies or filmmaking, it's a fantastic AI tool for consistent, fully-intentional scenes with deliberate set and actor blocking.
It's also the cheapest model aggregator service out there. You can log into every AI image and video provider directly and don't have to pay me anything to use the tool. You can use your Sora account, Midjourney account, Grok account, etc. It'll soon let you log into other aggregators like OpenArt, plug in your FAL API key, etc. so you can use your credits/funds wherever they happen to live.
Unlike the other "model aggregator" websites like Higgsfield, this is a desktop app written in Rust that you can keep. It also has highly intentional 2D and 3D design surfaces especially built for design.
Text prompting sucks for artists and designers, so I'm trying to put image and video design onto canvases that you can intuitively mold like clay.
I'm building RecallBricks - persistent memory infrastructure for AI coding tools.
The problem: Every time you switch between Cursor, Claude, ChatGPT, your AI forgets everything. You spend half your time rebuilding context instead of coding.
RecallBricks automatically captures context from your coding sessions and makes it available across all AI tools via semantic search. Works with Cursor, Claude Code, Continue.dev, GitHub Copilot, or any LLM.
Built the entire stack with Claude Code (meta, I know). Gas utility worker who taught myself to code, now shipping production infrastructure. Currently in private beta, launching publicly in a few weeks.
A client-side web app to help scuba divers set up their dive computer.
Scuba divers use computers to tell them when to make stops during ascent to prevent decompression illness. Many recent computers implement Bühlmann's decompression algorithm with "Gradient Factors".
Gradient Factors are 2 free parameters that control the "safety" margin of the dive. It's not obvious what values to choose, especially for novice divers.
My app explains what they are and shows their impact on the computed dive plan.
We’re working on an AI-first interview platform for developers: Valuate.dev
The usual approach to coding tasks doesn’t work anymore - companies are looking for AI engineers, yet it’s still unclear how to assess AI proficiency.
Our goal is to design challenges that combine prompting + coding, allowing us to score both how well a candidate prompts and how good the resulting code is. The aim is to bring measurement to AI prompting skills - how well-aligned prompts are and how candidates handle LLM-generated code.
At the same time, we want to keep a strong human balance in the process: hiring is a two-way street, and screening shouldn’t be fully offloaded to AI. We’re human-first.
After creating the feature request for Claude Code hooks[1] a few months back, Cupcake is nearly ready for release.
Cupcake is a governance/policy-enforcement layer for agents. Its innovation is binding OPA/rego to agent runtimes (via hooks).
I do not believe we will every strictly rely on "better" models in the wild without deterministic guarantees or ways for enterprises to factor in their own alignment - system prompts dont cut it.
I'm working on https://mimicmarketer.com It allows you to define different personas that you can then test marketing on. This allows you to see how different personas will interact with your marketing. Currently, it has a feature that allows you to define basic personas and test them against two types of copy, as well as a tool that grades your email subject lines and bodies against a generic persona, assessing the likelihood of user interaction with the content.
My other project is https://eggexplorer.com This is a site I wish I had when building out my flock of chickens. It allows you to see the different characteristics of chickens and which hatcheries sell each different breed. You can also see which hatcheries sell hatching eggs for each breed as well.
https://github.com/ezeoleaf/mycorust - A mycelium network simulation after I started to get interested in fungi and mycelium. Learnt a lot of Rust and gain more knowledge of performance and resource usage.
- Local-first app for comparing hardware builds, down to the individual component feature level: specs, benchmarks, even cpu extension support, lanes, how many speakers in X laptop, dolby atmos? screen panel manufacturer(s), etc. Basically, no-nonsense real product comparison for transparent and fast decisions.
I am working on a platform that simplifies access control in an enterprise.
A lot of cybersecurity attacks happen because of stolen credentials. One big example is the supply chain attack, Shai Hulud. In a lot of enterprises, credential sprawl is a huge issue and figuring out who (people, services, ai agents) has access to to what systems is a paramount task.
At https://gearsec.io, we are building a platform where accesses are created via policies. The result is that, the enterprise doesnt deal with credentials anymore. They only need to define policies and nothing more.
I would love to know if you faced this problem and how are you solving them at your workplace!
I'm building https://localhero.ai. Automated i18n translations that run in your CI pipeline.
I have worked as dev in many different constellations of the years, and seen many teams choose between bad options like delay feature launches for manual translations, ship incomplete translations and promise "we'll translate it later," or lately use ChatGPT/LLMs that lose consistency/context and require coordination.
Localhero starts from the premise that translations are part of CI. New strings get translated automatically in GitHub Actions, with glossaries and style guides so it sounds like your product and not generic AI output.
Goal is to help product teams ship localized features without all the coordination/delay.
I am right now building a proactive coach on top of my AI work capture app. Concept is very simple: It takes a screenshot every few minutes and analyzes what you're working on. From there it identifies task blocks, and checks if it should start a chat based on your intentions (eg to tell you to move out of your rabbit hole, take a break, help with a task, ...)
https://donethat.ai Passively processing screenshots is obviously pretty sensitive, it has an option to bring your own (local or remote) LLM, otherwise I process with gemini and never store any data.
It's in beta right now so if you want to try it you have to enable "proactive chat" in settings.
There's an agent monitor which intercepts requests either using a LLM proxy or hooks, that gives you full telemetry into the agents + MCPs used. And a MCP gateway that enables centralized deployment and securing of MCP.
I'm working on a browser extension that lets you save a list of all your open tabs into a markdown document. You can format the output using a templating language and it saves direct to your Obsidian vault if you have one (otherwise gives you a markdown file to download, plus a clipboard copy).
I'm building one project a week for the next 25 weeks for my newsletter. First, I want interesting content for the newsletter. Second, I want to try to grow the newsletter to put out something fun and joyous. The world needs more good fun.
I’m working on Alaska, a serverless compute platform I built entirely from scratch — no Kubernetes, no existing orchestration layers. It can spin up dozens of containers in parallel in just a few seconds. The platform is designed around a fast feedback loop — you write code locally, test instantly, and run it remotely with minimal friction. There’s a Python SDK that uses decorators to define what runs on the platform, so your local functions become distributed services without extra boilerplate. I also built a custom filesystem using FUSE to handle code, data, and runtime synchronization cleanly across nodes. It started as a personal exploration of distributed systems, but it’s grown into something that feels genuinely exciting! It's created by a developer for developers. Planning to open it up for beta testing soon.
Helping my recent MBA grad sister make a simple python script to fit here resume to a JD using openAI's api. Shes applting to product and marketing roles in AI and this helps her understand the tech (and its limitations) better as well as apply to more jobs easier
Market is brutal though man. She hasnt gotten an offer after so much trying
I wrote the book in markdown, stuck it in a SQLite DB and wrote a parser to put all the data in static JSON so it loads very fast.
I also created a new personal homepage to update my presence on the web as a published author and experienced leader and technologist:
https://davidbyrondrake.com
Book was released less than a month ago—growing it organically like a startup has been fascinating in terms of marketing, sharing, building, and measuring success.
Have been utilizing my acting skills again with readings from the book on my Instagram and TikTok.
I work as a civil engineer in the mining industry and it can be troublesome to download satellite imagery for a particular date and cloud index.
Yes, Google Earth Engine and QGIS plugins exist, but they are slow and confusing to jump back into after a period of time.
SatelliteMine is simple to use and any images of your area of interest is saved to your account and can be downloaded as a geotiff.
Currently free to use with a cloud storage capped at 512MB per account. Paid plans for greater storage requirements will be provided if the demand is there. Any feedback is welcomed :)
This week we're building out the UX around formatting and this month we're building a more robust set of integration tests and integrating with a large industry platform.
I’m working on a platform that makes it easy for people in West Africa to buy and sell cryptocurrencies (like USDT, USDC, ETH, BNB, POL, AVAX, etc.) directly with mobile money — the most popular payment method in the region.
The goal is to bridge crypptocurrencies and local mobile wallets to make crypto useful in everyday life — not just for trading, but also for online payments.
A few key features:
Mobile money integration (MTN, Moov, Orange, etc.)
Instant buy/sell of USDT, USDC, ETH, and other assets
Crypto payment gateway — businesses can now accept stablecoin payments directly on their websites
I’m currently focused on improving liquidity and expanding to more countries.
Would love feedback from the community — especially around :
- Liquidity and Marketing to find the first users.
Happy to share more details or collaborate with anyone working on similar problems.
building a location-based game that captures Taiwan's absurd convenience stores density[1].
Players stand at any 7-11/FamilyMart/etc, take a photo showing you can see the next store, walk to it, repeat. Chain as many stores together as you can.
It sounds silly but Taiwan really is this convenient - you often can see 2-3 stores from one spot. Here[2] one route where you can actually link 7 convenience stores in a row! Now trying to make maps look a bit nicer with mapbox.
system to test and calibrate an analog traction control system. the system uses a frequency to voltage converter and a bunch of opamps to compare wheel speeds then determines wheel slip or slide and either reduces engine power or braking.
Test system uses ADCs, DACs and a DDS to produce a sine wave that simulates wheel speed.
Developing a fingerprinting method for identifying music masterings! Like Shazam but to tell what version of an album you have.
The idea being able to compare measurements to see what mastering you're really getting - because they are NOT all equal. With the remasters and stealth replacements on streaming, it seems like every other month I wake up one day and my favorite music sounds worse (or is gone...). Now I can measure it and help find what versions I really want to collect!
I may end up trying to make a fingerprint database/tool that sits in between MusicBrainz and Discogs. That way hopefully the community can standardize and quantify some of this info that only lives ad hoc in Steve Hoffman forum threads or partially on sites like https://dr.loudness-war.info
Still working on my digital nomad event and workation aggregator.
But now with travel and visa guides to help remote workers become productive in Japan and South Korea ASAP and give them visa guidance if they want to stay a bit longer.
Working on https://gametje.com (a Jackbox games competitor). Been working on the Android TV app lately. Will probably start creating a new game next week with acronyms similar to the old game Acrophobia from the late 90s/early 2000s.
(1) For one product I am working, I have been working on a custom reporting language for producing high quality PDFs. I used hy.py as a basis to make it LISP-like.
(2) I need to make a Django postgres site that I am running more reliable. Earlier I was experimenting with making static HTML renderings of the pages. That is certainly nice, but it took several hours to reproduce the site. I am currently prototyping making read-only replica of the database in SQLite (the database is only 1 MB) and hosting it on CDN, and then pulling that for the read-only replicas. The database export takes only some seconds.
(3) I vibe coded a iOS app using that same SQLite database that fetches it from the same location. It was surprisingly simple. It seems much simpler than using Flutter or React native.
After 10 years in defense tech, watching missile attacks in Ukraine and the Middle East made it clear how little most people really get about air defense. So I'm building this simulator which drops you into the operator’s seat. You can test out different scenarios and build an air defense network against various types of threats (stats from real world). Also have Ukraine, Israel-Iran scenarios.
https://airdefense.dev/
I think there's a lot of potential for AI to improve the way we organize and manage our inboxes, while still letting us keep control over it.
What I've learned is that there are a lot of little features that make up a good email client that you may not even think about when using one, like threading, quote blocks, even what email address(es) to autofill when you reply to an email. For an app you use potentially for hours a day, the polish and "last 20%" makes a huge difference - and takes a while to build!
If you have any feedback, especially on what features are most important to you in an email app, I'd love to hear it :)
https://recipin.com Recipe extraction and archiving to avoid link rot and blog spam. No tracking, no JavaScript, no AI[0], and just a dusting of CSS. Source available to run your own server if you’d like (https://github.com/bradly/recipin).
I’d like to add importing from a Pinterest account and continue adding support for all the creative implementations of the schema.org recipe format that different sites use.
[0] My partner has a bunch of handwritten family recipes, so I’m trying out an optional extract from a photo of a hand written or magazine recipe that uses AI. Not required and I may pull it out into its own service that spits out schema.org recipes. We’ll see.
Music player that can organize album collections from different services like Spotify, Apple Music and Bandcamp, Discogs, and show detailed and high quality information that can be searched and filtered.
I’m building a reward chart app for parents. See link below. I just submitted it yesterday for review the App Store and Google Play. Now I wait. Fingers crossed.
I'm building GhanaHousePlanner https://ghanahouseplanner.com/, a web platform to help people in Ghana/diaspora plan, estimate and manage house construction projects. It is free for individuals and only project management and using the floor planner ai agent needs subscription.
Current features include:
- Live material price list updated monthly (based on prices at local shops)
- Conceptual 2D/3D floor plan generation following Ghana Building Standards (development in several phases using procedural floor plan generation)
- Construction management dashboard to track project stages and conversations between project manager, mason, carpenter, etc.
- Printable material cost breakdown
TODO: A contact listing for local construction services
I was tired of repeat, sponsored, and "safe" music suggestions from Spotify, so I built a discovery engine that puts the control back in the user's hands.
The core idea is simple: You define a "Discovery Model" with explicit constraints (specific genres, release years, track popularity, etc.). The app then uses this blueprint to source tracks.
The results are fresh for two reasons:
- "Known" Track filtering: Excludes all songs saved in your library and recent listening history.
- Active Curation: Uses your custom model, not a vague, opaque algorithm.
It’s built with a local-first mentality and a focus on privacy. No black-box AI "vibe" mixes, just pure, objective discovery based on your criteria.
Finally making a simulation of my heat engine. It's kind of like stirling engine, but working on entirely novel cycle, theoretically should be able to achieve over 80-90% efficiency (yes, more than Carnot theorem says). I had this idea for 15 years already, but didn't have enough free time to make prototype. Now I don't have much time, but thanks to AI I have kickstarted simulation program (it told me which equations to use and how, I do most of my programming myself), turns out it's not as hard as I've imagined when you know which equations to use. Still working on it at max several hours a week because I have two other programming jobs. If it works, it will noticeably bump humanity on Kardashev scale.
Working on a meal tracking app (iOS/SwiftUI) that helps you understand eating patterns - mood, hunger levels, where you eat, etc. Built it to learn Swift and shipping to the App Store.
Honestly struggling with whether it's solving a real problem though. The detailed tracking with quantities and calories feels like too much friction.
Would love to hear if anyone actually tracks their meal habits and what works for them.
I'm making a game finally! Merge-three + village sim.
Hoping to actually take this one to something polished as opposed to the many half-finished prototypes littering my git repo over the years. I've discovered (always knew?) that heavily cutting scope is the best way, and been successful thus far.
It gets pretty boring/unbalanced by ~150 turns, but I have some ideas on how to fix. I'm still playing with ways to help de-clutter the board and make use of the economy aspects.
After some false starts with ai-gen art, I had fun learning to color the pixels myself. The process wasn't as scary as I'd thought and the results are better than I hoped.
I'm wrapping up a v0 of a personal website soon [1]. This has been kinda "coming soon" for almost 7 years now - every single time I attempted it in the past, I would stop it prematurely due to a lot of yak shaving and I could never finish it fully. Or more commonly, I would get bombarded with busy times as well.
I'm happy where it's landing so far but also appreciate any actionable feedback to make it better (!). Under the hood, it packs a Rust Axum API, plenty of ffmpeg, and some hobo infrastructure [2] here and there.
Have been working on three micro-saas, all built in Elixir/Phoenix:
https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.
https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.
https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".
The goal is lightweight, composable tools with clean interfaces that respect user agency and privacy, provide technical clarity, and make you a better photographer by encouraging mastery over your tools and offering new ways to approach picture making. Also broadly honoring the (almost) 2 century old history of the craft and drawing inspiration from pre-digital processes and approaches.
Got a number of updates to existing apps and new ones in the works, I’m excited for the full long term vision I have that I plan to sum up in an essay at some point.
Currently Apple platforms only but the plan is also to break out of that down the line.
I've been working on a ttrpg site for the last year with my own IP. The intent is to create an experience that makes an intuitive UI that minimizes tedious tasks.
You need to know "does this guy look hurt"? The enemy HP bar can be set to either an actual percentage, or set to have cracks in the bar to signify a range of damage. Does only person take notes? Personal notes are shareable and there's a section for community notes. Do you have enough perception to notice a hidden door? The UI can be set to go off passive perception and give you those notifications automatically.
It's still in early alpha testing with friends, but it should eliminate general GM pain points to encourage more groups to form.
I posted in this monthly thread first time in May when I launched a daily logic puzzle, Clues by Sam. Since then it's grown significantly, and I couldn't be happier!
The game has a farily simple frontend, but there is a fairly complex constraint solving algorithm as part of the puzzle making process. What makes the puzzle quite unique is that you can't "guess". You can only make guesses that are provable by logic. The algorithm ensuring this has worked flawlessly for months now (though I've manually inserted some silly mistakes once or twice).
Today's puzzle is one of the hardest to date. The difficulty resets on Mondays, and then gets harder again towards Sunday.
I left my job to work with the technologies (embedded rust, SQL, custom PCBs, typescript & angular, more rust server side) and practices I'd been dying to use and build a solution for a problem I had. A big part was also the desire to control complexity and lead product direction instead of taking assignments knowing they were the wrong direction for the products and their consumers.
It's an instant remote control built for shared spaces. Anyone can use the remote with a QR code on their mobile device. Since its IoT there are lots of interesting features including permissions, various remote interfaces, universal remote capabilities and more.
Cheating in exams has quietly become a global industry — from small university tests to national certifications and professional licensing.
We’re building https://trustexam.ai that protect the integrity of high-stakes exams and certifications — from universities to government licensing and professional testing.
Our focus now is on scaling this globally and using ethical “white-hat” research to understand how people cheat and how technology can rebuild trust in digital assessments. What’s the best way to make that impact worldwide?
I have made a co-op roguelite tower defense game inspired by the old Warcraft III maps. A major inspiration was YouTD. You can play it here: https://defense-of-solaris.com/
There’s so much nuance in HN threads that often gets missed elsewhere, so I decided to put start this newsletter.
Initially started as an experiment for 10 issues to see ig it gets traction, 6 issues in it’s at 68 subs and probably will continue for unlimited time period.
I’m building https://unrav.io : A tool to fight information overload.
It lets you turn any article, YouTube video, or PDF into summaries, mindmaps, podcasts, chat conversations or infographics that match how you learn with just one click.
We just launched this week the Chrome extension so you can do all this in one click on any page, no login needed (with generous freemium usage).
I’m building RootCX (https://rootcx.com). A customer "operating system" replacing dozens of SaaS tools.
As a second-time founder, I've watched the SaaS boom create an ocean of best-of-breed tools. Each solving one slice of the problem. One solving it end-to-end.
Now every company runs on a patchwork of apps, APIs, and workflow hacks just to keep customer context alive. It's insane how normalized that's become.
RootCX starts from the opposite premise: the customer is the core, not the app.
Everything: CRM, support, billing, workflows, AI, ... plugs into one shared customer base. Less juggling tools, more actually running the business.
I am working on building neospark - AI native canva
And we are now recruiting our first group of seed users. If you're excited to shape the future of design and be among the first to try neospark, please visit our homepage and join the wishlist through https://useneospark.com/
We'll send you an exclusive invitation the moment our MVP is live.
I’m developing a Mac desktop application that allows you to rewrite text using any LLM (via OpenRouter). Currently, users select text, copy it, and activate Cliptomic with a designated shortcut. The application then rewrites the text and replaces the original content in the clipboard, enabling easy pasting of the improved version. This project is still in its early stages: https://github.com/PaleBlueApps/cliptomic
I'm atm working on a couple of things, first the biz, a self-hosted home server OS that simplifies Docker management and provides a unified dashboard for running services at home. The goal is making self-hosting more accessible without sacrificing flexibility.
And also building as a hobbie a procedural universe generation engine that simulates galaxies, solar systems and planets in real-time. Everything is generated from a seed with actual orbital physics, seasonal changes and so... Built with Python/Flask backend too but Three.js for 3D visualization and React instead of Vue3 as in the prior one. Think No Man's Sky vibes but as an explorable simulation engine really D:
I'm working on a paragliding track visualizer: https://skyviz.io - I started it just for myself, then it kind of got out of control, and now I'm spending wayyy to much time on it
After many years of working on enterprise crud apps, it's so refreshing to actually use some maths and 3d programming again :D
But now it seems the the only way forward to make more out of the product is by doing marketing... Something that is absolutely NOT my area of expertise nor interest
A website that lets you match watches with different straps to get a feel for how it'll look.
Mixing and matching watches with different straps is something that I really enjoy doing. It's not often easy to tell ahead of time whether the combination will work.
Making advanced multiphysics simulations and optimizations accessible through a simple web interface and AI chat agents. I’m building SimuPort (https://simuport.com
) to lower the barrier to running and iterating on complex simulations. I’m interested in hearing from anyone who has needed these kinds of simulations in practice (e.g., optimizing airflow in devices, analyzing thermal–structural interactions in prototypes) or who has experience with tools like Ansys, OpenFOAM, COMSOL, SimScale, or similar. What worked, what didn’t, and what’s still missing?
https://fooqux.com/ - an experimental tech article aggregator. For several years now, I've had a routine of collecting articles on topics that interest me throughout the week and then reading them over the weekend. To help organize and streamline this process, I created this website.
The main idea is to gather tech articles in one place and process them with a LLM — categorize them, generate summaries, and try experimental features like annotations, questions, etc.
I hope this service might be useful to others as well. You can sign up with github account to submit your articles as well. I would appreciate any feedback.
I am working on methods to automate my VC firm. We have a small team and many different tasks to do. I’ve had success with using LLMs to help us automate various projects. But I appreciate any open source tools, techniques, readings, etc. if anyone knows any!
Instead of sending the page's HTML to an LLM, Hikugen asks it to generate python code to fetch the data and enforces the generated data conforms to a Pydantic schema defined by the user. I'm using this to power yomu (https://github.com/goncharom/yomu), a personal email newsletter built from arbitrary websites.
Porting LevelDB[1] to Seastar[2], for internal metadata storage in Redpanda[3]. Before you ask why can’t something off the shelf be used, seastar has unique constraints around its runtime and its memory allocator that means we can’t reuse an existing library.
A non-bloated HTML, CSS and pure Vanilla JS framework to create dashboards.
A cross-platform JSONL viewer where I am learning ImGUI. Haven’t found any other open source GUI framework that‘s small, provides out of the box components for tables, sorting
It will allow users to fully manage their calendar in a Gantt chart. Complete with customizations like dependencies between events, custom colors for time blocks and custom icons for single-day events (“milestone”-like).
Ganttify is a Gantt chart add-on for web applications or services that can benefit from a Gantt view. My goal is to expand the number of integrations for Ganttify and release a new integration every month or so. If any of you have an interesting (niche or non-niche) idea to integrate Ganttify with feel free to contact me.
Added compression to my metal 3D printer slicer exported CAM files, and refactored the code to better support larger volumes.
Tweaking the piezoelectric driver PCB design for the micro-positing microscopy stage project. The Nanomotion piezoelectric motors were not meant to be used in the manner I chose, but it is fun to push the limits of technology.
Finishing up some custom 1U mounted hardware, and getting a batch of test PCB soon. Bend radius came back 1mm oversize, but this was acceptable for a single run item.
Also involved in several other projects maybe 3 people would care about. Doing a custom FPGA PCB is not very fun unless encountering that rare class of problem CPU/MCU simply can't handle cleanly. =3
I am working on a home-oriented solution (hardware box + software) for backups of the media files from phones.
The solution facilitates having a separate backup drive (stored in a closet) in addition to the primary data drive in the box.
Fran here. I'm building a niche tool for designers and architects to create AI renderings in seconds with no prompting skills, no ComfyUI installs, no chasing the latest Nano-Banana, Flux, or any other GenAI image model. I called it RenderAI. Want to make it simple and fast.
We already have thousands of users, which confirms there is a real need. Still, I’d love to get honest feedback. How can we stand out? Feel free to be blunt.
Working on AI interpretability infrastructure! Starting with hallucination/failure mode detection and causal tracing in transformer-based foundation models. It's non-SAE, domain-agnostic, and works for any kind of tokens or sequence data (e.g. not just English text - biological sequences, physics data, etc). Some of our early tests indicate that this detection setup could broadly work well for any property, but we've mostly validated on hallucinations. If you have access to self-trained or open-weight models, would love to have you try out the alpha version - running it through HuggingFace!
I have been tinkering on a little price drop alert scraper written in Python. It's run as a cron job, and every day it checks the prices of a list of urls (my clothing staples from various outdoor retailers, mostly) and sends me an email with any products that have gone on sale.
I've been running it for over a year, but now I have fixed it up and made a little landing page to see if there's interest for a stupid-simple price watch service like this (no need to install an extension or create an account):
I've been working on a little game for my daughter to help her learn the movement of chess pieces. https://www.minichessgames.com
It's currently just a "maze" type game where you have to get to a goal square in the minimum number of moves (there are rocks placed on the board to act as obstacles)
I'm in the process of making some very simple games like battling knights where they leave poo and you try to trap your opponent.
Fun making it even if it's just the two of us who'll enjoy it :). Partly I wanted her to learn that you can create for the internet not just consume...
For the past few months, I've been building a health tracking app called LogBuddy. I got tired of using separate apps for nutrition, workouts, weight, and period tracking. So I built LogBuddy to handle all of it with a dead simple interface. That way, all the heath data I'm tracking would be in one place.
Right now there's an Android APK available. If there's interest, I'll publish to the Play Store and build an iOS version too.
Would love to hear your feedback if you try it out!
I really like the range memorization tool from GTO Wizard, but want to be able to put in custom/arbitrary ranges to test. I also want to be able to import and simplify ranges from other sites. Work in progress, but every scenario is url encoded (warning: subject to future breaking changes) and I use those urls in for links in my Anki decks.
I suspect AI company want improved efficiencies and developing a framework that can be applied in determining the minimal-energy, maximal-efficiency architecture for ai models. Calculating the precise limits, like a Cognitive Event Horizon, where a model becomes so complicated it literally costs more energy to run than the knowledge it provides, and the Semantic Horizon, where it simply gets too complex to be accurate, etc. Lots of cool implications such as around a fundamental mathematical maximum learning rate which results in trying to get anywhere close to that that by doing stuff like aggressively filtering of the data.
A tool that detects potential signs of overwork in incident responders, which could lead to burnout. To compute a per-responder risk score, it integrates with Rootly, PagerDuty, GitHub, and Slack.
We are building https://desplega.ai which is a QA agent that help teams ship fast without compromising quality.
We focus on making it as fast as possible, integrated into CI, MCP for local dev, and support both an autonomous (we call it discovery) and guided test creation approach.
We believe that in the era of vibe-coding, quality is key, as we are lazer focus on building a solution that scales with your product, and removes the burden of QA from your team.
Technically, we built an in-house engine that is in charge of generating the tests, that speeds up and gets better the more you use it.
the service is a suite of online vetting and due diligence tools for website flippers, Fb marketplace sellers/buyers and Tiktok shoppers
The domain has an interesting backstory. I acquired if it n 2022 from Epik after they stole the $10,000 I had deposited into their Escrow service. The money was meant for acquiring a newish stable diffusion hosting website that was competing with civit.ai. When the Epik issue was discovered, the seller pulled out.
Acquiring that website could have changed my life.
It's going fairly well, I'm more or less as feature complete as I want to be. I might do something addon-like at some point to make scaffolding apps with shadcn, tailwind, prisma and friends a single command. Like shadcn does with components.
Building a docs website [1] for my speech-to-text CLI tool, hns. I use it 5-10 times daily to transcribe my voice, and a few developer friends I've shared it with have also adopted it for daily use. They like that it runs in the terminal and keeps all data local. So, felt like I should write down guides for new users to get started quickly and to highlight key use cases.
Building this documentation website using Docusaurus. This is my first time using Docusaurus, and it feels like a very nice tool for quickly developing a documentation website.
What I am working on is my masters thesis in bioinformatics supports/HPC: "Predicting the running time of bioinformatics tools", by running (initially) 5 tools 1000 times each with different parameters and then fitting a curve.
I am pretty sure I can get 70% predation rates +/- 10% . Unfortunately, I'm blocked by the lack of hardware. Kind of not-quite school affiliated (so I cannot really ask for national computing resources), so I am trying to build a single threaripper pro node on my own. Hurts the wallet, but if added to slurm as module, this can have implications.
I really missed an old mobile game that got de-listed after the devs sold it to a company that subsequently ruined it. I'm a full stack dev, not a game dev, I don't have time to learn the ins and outs of Unity so I tried to see what was feasible in the web world with Babylon.js + React + Capacitor.js and I'm pretty astounded at how well it works out.
I'm working on an app to display charts, analysis, and data on English football league games.
The real goal is to figure out how to use code gen AI (Cursor) effectively for data science projects and to figure out rapid deployment. I'm pushing things a bit harder than you typically see in demo apps (e.g. different chart types (e.g. violin plots, heatmaps, line charts), interactive charts, JavaScript widgets interacting with Bokeh charts, etc).
I'm trying to figure out all the skills, processes, and training you need to build a technical app very quickly.
I'm at the deployment stage now.
I'm working on Fillvisa.com - a free, browser-based tool that lets you fill complex U.S. immigration forms (like DS-160, AR-11, I-90, etc.) entirely in your browser.
It mimics the official USCIS forms but autosaves locally, validates inputs, and lets you download a ready-to-submit PDF - no signup, no uploads, no tracking.
It’s meant for travelers and immigrants who just need to fill a form once, and as a side effect, it’s become a great acquisition funnel for my paid B2B product, VisaSimplify, which helps immigration lawyers automate client intake and PDF mapping.
Works with any mechanism to turn on and off nodes(IPMI, WoL...)
I have some nodes that I turn on and off via a curl to homeassistant to the power plug.
I've created an AI-assisted writing platform, that doesn't generate text, but instead lends focus to human creativity, and have AI assist you instead of trying to replace you.
You create a writing style via existing text examples, blog posts or URLs, and Arcitext extracts a "writing fingerprint" which it benchmarks new text against.
There's a solid Markdown Editor with tools such as Tone Fit, Rewrite suggestions and Fact Check, which helps you when you need it.
Kind of like having a writing coach and content strategist on speed dial.
An OpenAPI code generation framework for TypeScript called Skmtc (pronounced like "schematic")
It handles the complexities of parsing OpenAPI and rendering output code, while providing the end user with full control over generator code via string templates.
Imagine something like React but for code generation where each code generator can compose its own output using the outputs of other generators.
A Mac-based video manager that automatically transcribes, translates and summarises videos. I process information best through reading, so I built it to manage my growing collection of training course videos, webinars and meeting recordings. Currently working on adding RAG search to make it easier to query content.
Also building a CMS and static site generator that runs entirely client side in the browser. Pick themes, model content an publish to clean HTML. It also makes content available beyond just the browser, eg in a command line TUI.
Originally started in 2012, I’m (still) building log.soccer - a stat-tracking tool for amateur soccer players. This is the third or fourth iteration of the site, which until this year mostly served as a glorified résumé project to showcase the latest framework or tool I had just learnt.
Thanks to ChatGPT, my productivity went through the roof this year, and I finally shipped an MVP that might actually be useful.
It’s a standard Django + React + AWS stack. My raison d’être is to build an Apple Watch app that tracks match scores in real time. 2026 hopefully.
Today, I am implementing tag-triggered webhooks so they can get triggered based on the tags assigned to messages.
Use case: for example, I want to auto-tweet all my advice messages and auto-create linear tasks for `company` todos, auto-start a cursor agent when I tag messages with `Cursor task`
For some reason, I got 16 users out of nowhere, so I added a landing page last week. The connector marketplace is next, so that I can share these sub-connectors with the other users. Need a couple more weekends.
OAuth is here to stay for major email providers (Outlook, Gmail, etc). Microsoft is dropping support for standard/basic authorization in April 2026, and Google has already done this. But plenty of devices and systems don't (and may never) support OAuth.
Auth-Email is a relay that lets you continue using traditional email auth methods even when your provider requires OAuth. Lots of other more advanced features too: all OAuth grant types, add-ins to modify behavior and lots more.
Being an internet radio enjoyer I was always dissatisfied with the state of radio apps. Most of them want you to pay for a subscription to be able to curate favorites and persist them. With nostr we get auth, persistence and social for free.
This version is a rewrite of an earlier one and I've added some cool convenience features like "now playing" and musicbrainz integration for remembering songs.
Spec, flow and most of the UI are done. I've managed to build an Android App yesterday and will publish source soon.
Hey everyone! I built a site that shows your next age milestones, all on a single page. You can see your next milestone age for each type (like your 10000th day) and save it to Google Calendar.
It looks simple, but I learned a lot building this site:
* To calculate age in planetary years, I had to look up their orbit and rotation info
* The lunisolar calendar took me quite some time to figure out (it is not the same as a lunar calendar and even changes by country)
* Adding the dog and cat age equivalents even led me to cubic splines
I'm working on a _boring_ business - a CRM for pilates and yoga studios (https://www.usemojo.app/en). Most tools in this space are bloated or built for gyms, not for someone juggling reformer classes, cancellations, and back-to-back privates.
It started when a friend who runs a studio showed me her system: printed calendars, WhatsApp messages from clients at midnight, and sticky notes for who paid. I'm trying to make something quieter. It should feel like an assistant, not another tool to manage.
An open-source, local database which collects all your personal data, hooks it to an LLM (BYO), and gives you an assistant that can answer any question about your life.
It also allows you to vibe-code (or just code) small apps on top of your data (e.g., your custom dashboard for your expenses).
I am working on a web app that doctors/NPs/PAs can use to automatically rewrite complicated and verbose medical progress notes. The amount of time medical providers spend on documentation is ballooning, and only a small portion that time is actually spent doing medical decision making. The rest of the time is spent incorporating (ie copy editing) data as it comes in from imaging/bloodwork/consultant advice. The goal is for the app to be:
entirely self service, without needing EHR integrations
able to persist and reuse the user's writing style, without actually saving any of the notes
I created a media editing app that lets you do some of the most common video editing tasks (cut, resize, compress, blend audio etc). It's browser based so your files never leave your machine and is very fast (leveraging the latest and greatest libraries such as Media Bunny).
On and off working on the Navigation API for Node, Bun, Deno, & as a browser polyfill.
Has 90% test coverage, makes use of web platform tests to verify compatibility, and is in use by some larger companies already with the Navigation API soon to become a baseline in evergreen browsers.
The Navigation API effectively is async state navigations. The likes of React has recently added Navigation API support to make use of the browser reload indicator.
Just got a 3d printer (Bambu a1 mini) and my girlfriend brought home a whole bag of plant cuttings. Thought I would give a modular plant pot (i.e with elements that allow for expanding the pot) in fusion 360 a shot.
There have been a few astrology apps, but all require you to connect with an astrologer or a pandit. This market has been in past and today, a market of exploitation for the innocent.
So, I built this app to let people read their birth chart with detailed analysis, without any such thugs. There are a few very talented experts, but they are either very expensive or difficult to find. So, it came out of necessity.
I would love your feedback on trying it out and letting me know your thoughts.
Building https://ottex.ai - a native MacOS app to solve repetitive micro tasks on a computer.
- Transcribe voice to text (especially useful when you need to explain something to Claude code )
- (soon) select text to instantly Check grammar / Improve writing / change tone of text
- (soon) select text to Translate between languages
I discovered that I have a few 10/20$ subscriptions (grammarly, raycast, wisperflow) that do embarrassingly simple stuff I can one shot with cheap SLM. So I decided to build a one app specialized in small repetitive tasks on computer.
An Intent is a self-contained document that describes a user request. It is composed of three main sections: WHY (the motivation), WHAT (the requirements, often in Gherkin language), and HOW (a detailed, step-by-step implementation plan defined with tasks). This approach ensures clarity and alignment before any code is written.
An AI (not LLM, but image-based one) based tool which transforms photos into visa compliant photos.
You take a selfie, pick document type (China Visa online, Green Card lottery, etc) and the tool knows what size it should be, head height, shoulders position and other requirements. AI is used to detect head position, emotions, objects and other details to provide better recommendations
Most (meta)science discussion is either fragmented on Twitter/Bsky, or a bit too formal. I thought a centralised place for deeper, casual discussions might be helpful, so I'm testing that theory.
Launched a few days ago, so it might have some rough edges. I'm considering making it user-invite-only soon, but for now it's fully open for signup. I'll also move it to its own domain once I think of a better name.
I am building Mizu, a lightweight web framework for Go that aims to keep things simple and Go-first. Everything is written in plain Go with no hidden abstractions, and you can start with a single file then grow into a full project without changing your coding style. The name means "water" in Japanese; the framework tries to flow with your code rather than force its own patterns.
I created a RescueTime alternative for KDE Plasma. It runs in the background as a daemon and records time spent on each window in a SQLite database. Next step here would be to add a Firefox extension, since a lot of my time is spent browsing the web.
Tracking windows on Wayland is hard because the protocol doesn't support it. I hacked together a script using Claude Code that somehow works, but I barely understand how.
I recently launched a daily word puzzle!
https://tiledwords.com
It’s inspired by tile placement board games like Patchwork and crosswords. You rotate and move tiles to rebuild a broken crossword.
It’s free, web based, and responsive.
I currently have several hundred daily players and growing. My wife and I create the puzzles and I’m continuing to fix bugs and add new features.
I just launched a ”community puzzle” feature to let players help build new puzzles.
I’d love to know what you think!
Continuing with my retro productivity software blog, Stone Tools: https://stonetools.ghost.io
I was getting a little bored of retrocomputing discourse being so centered on gaming, so I'm exploring the productivity software of the 8/16-bit era. I put real effort into learning and using the programs, giving my light-hearted but heartfelt assessment of its form and function for both its time and today.
Using the software inevitably gets me thinking about other things, and I explore those threads as well. For example, "Superbase on the C64" also discusses the legacy and promise of "the paperless office." A couple of other posts got some nice traction here on HN, notably "Deluxe Paint on the Amiga" and "VisiCalc on the Apple 2".
I'm hoping to build a strong monthly readership, so I'm putting in the work. It's been up for two months and five posts now, with a new one coming at the end of this week.
A tool for creating custom Tailwind-style color palettes for web and UI design that pass WCAG contrast requirements:
https://www.inclusivecolors.com/
The interface is optimized to let you quickly explore and tweak multiple tints/shades at once so you can customize all colors exactly how you want e.g. try dragging vertically through the saturation curve in one motion to edit all the tints/shades at once, or shift whole curves horizontally by dragging between the dots on a curve.
It uses the HSLuv color space, where (unlike say HSL) the WCAG contrast stays the same when you change the hue and saturation sliders. This makes it much easier to explore accessible colors choices as you know only changes to the lightness slider will impact the contrast. You can also switch from the WCAG2 contrast checker to using APCA, which is meant to correct for inaccuracies in WCAG2, such as it being too forgiving for dark mode color combos.
Note the mobile version is more of a preview and the desktop version has more features.
I probably need to add something like a tutorial as there's a lot going on, but I've added more hints and tooltips recently. Open to feedback on what's initially confusing and what changes might help!
Currently working on a take on Pokémon GO + Pokémon Snap but for birding. The goal is to explore your neighborhood, find birds, take good photos of them all. Next month, I'll be doing an event to find a rare bird, excited to see how it goes!
It's still a small closed alpha, if anyone is interested: https://testers.birdlego.com
Here is a rough trailer of it: https://www.youtube.com/watch?v=yVpR8aafFjI
I’m working on a free and open-source invoice generator: https://easyinvoicepdf.com/?template=stripe
- No sign-up, works entirely in-browser
- Live PDF preview + instant download
- VAT EU support
- Shareable invoice links
- Multi-language (10+) & multi-currency
- Multiple templates (incl. Stripe-style)
- Mobile-friendly
GitHub: https://github.com/VladSez/easy-invoice-pdf
Would love feedback, contributions, or ideas for other templates/features.
PS: e-invoice support coming soon
https://katarineko.com
I think by this point everyone that is learning a language knows that immersion is very important, however a problem I've had myself is that the content that interests me is beyond my reach, and the content that is within reach doesn't interest me.
This is my attempt at doing something to remediate that. You select the content you want, and I create a personalized study plan to learn the most important words to achieve a target % of understanding. Then I generate a short story each week for your particular level containing the new words in the context of your content.
The idea is to bring the content you want to learn to your level so you can watch what you want to watch.
https://easel.games
I'm making Easel, a 2D game programming language designed to match how humans, not computers, think about game logic. It also has automatic multiplayer. I've been working on it for 3 years!
Easel feels like a declarative programming language even though it is imperative, because lots of useful game-oriented features are first class. Like behaviours - you just say `on Pointer { ... }` and you have a concurrently-executing coroutine that's lifetime is managed. But you don't think about any of that complexity, you just think of your entity as having a behaviour and go forth and make your game.
It also happens to have automatic multiplayer. Normally with multiplayer you have to worry about doing everything in a "multiplayer safe" way (i.e. be deterministic and only modify the things your side has authority over). My idea was to put all the multiplayer stuff in the programming language itself, underneath all your lines of code. This way, anything you write in that programming language can just be made multiplayer, automatically. So you can just pretend all your players are in one shared world, like a singleplayer game, and the engine does all the multiplayer for you. It was really difficult to make but it makes multiplayer so easy for you now.
Easel is my idea of how games should be made, or at least as close to the idea as I can achieve with 3 years of work, and I would love for more people to try it out.
I've been working on a 3D voxel-based game engine for like 10 years in my spare time. At this point it's getting pretty close to being shadertoy for voxels.
https://github.com/scallyw4g/bonsai
I recently ported the terrain generators to the GPU, and increased the visible volume to 1 billion voxels cubed. I did a short YouTube video about it.
https://www.youtube.com/watch?v=bLfgjWsM1PI
I also wrote a metaprogramming language which generates a lot of the editor UI for the engine. It's a bespoke C parser that supports a small subset of C++, which is exposed to the user through a 'scripting-like' language you embed directly in your source files. I wrote it as a replacement for C++ templates and in my completely unbiased opinion it is WAY better.
https://github.com/scallyw4g/poof
FreeBSD 15.0. Rather depressingly, almost everything I said two months ago is still true: https://news.ycombinator.com/item?id=45419134
But I'm hoping to have it out by the first week of December.
https://whenever.world/
It's an explorable database of films, TV shows, books and board games based around their historical setting: where and when the thing is set. It's been incredibly complex and interesting getting the (messy) data, making sense of it and trying to design a UI to explore it.
https://stevebennett.me/2025/08/26/whenever-exploring-times-...
I’ve been working on https://canine.sh which is a free, open source Heroku alternative for 2 years now.
It’s exactly the product I wish I had when I started my previous company. Running on PaaS is incredible for devex but the pricing is bonkers, and the vendor lock in makes it really hard to deal with annual price increases. We spent close to 400k / year for just 128GB combined fleet in our last startup on Heroku.
Canine tries to get the best of both worlds: developer friendly PaaS with no lockin or price gouging.
Just added build packs as a build option recently.
Also got a sponsorship from the portainer folks which lets me work on this close to full time
Hoping this saves someone the headache I had two years ago.
We have been building https://finbodhi.com/ a local-first browser app (PWA) for personal finance, based on double-entry accounting.
FinBodhi uses double entry so complicated set of transactions and accounts can be modeled (which happen often enough in users financial journey). We wrote about double-entry here: https://finbodhi.com/docs/understanding-double-entry
We do use online services like firebase for auth, and some service to fetch commodity prices etc. But all your financial data is on your system (we use sqlite over opfs, in browser). For synching across devices, that data is encrypted with your key before it leaves your device. You can backup the data locally (if you are using chrome) and/or to your dropbox. It's designed so that we (the people building it) can't access your data.
There are many more features, like multi-currency, visualizations, a sheet to use your data to do complex calculations like taxes, planning for your future etc.
Feel free to try it out with the demo account (no sign-in required). Note: app doesn't work in Firefox private mode.
I've been enjoying the breadth of projects made possible with AI, I've cataloged over 200 of them created in 2025 here: https://jonathanclark.com/posts/ai-coding-million-lines-2025...
A few of my recent favorites: - swim lap counter in html/JS that uses the camera to watch you swim and count laps/timing - video recorder that records your window/desktop and uploads a file to S3 - video conferencing app that allows a 2 year to click on a family member face and initiates a video conference using webRTC, STUN, and browser audio/video capture with automatic bandwidth adjustments (works on all platforms with pure HTML/JS). - CUDA based ray tracer with HTML UI that can trace over 2m rays per second on my laptop for scientific study, allowing real-time display of optical parts. - chat front-end for image models like gemini-pro and openai that take other images and text as references and generate a big library of options to chose from in seconds, I've been using photoshop for decades but I tend to use this more now.
Porting Ruby to Fil-C
It's very interesting because the Ruby codebase uses a `typedef uintptr_t VALUE` type to mean any of the following:
- A pointer to the heap
- A Ruby tagged value (which may be a pointer to the heap)
- Any integer value that fits in `uintptr_t`
Fil-C doesn't allow you to carry around pointers using integers, in the sense that when you do that, the pointers lose their capabilities.
But in Ruby's case, it's not as simple as changing the typedef to a pointer type, since `VALUE` variables often end up being used for integer math (including bit math, shifts, etc).
So, it's going to take a nontrivial patch to Ruby to get it to work in Fil-C. I think I'm about 70% of the way through (I started Friday afternoon).
Working on some fun/silly projects.
My favorite so far is: "The Anti-AI UI Test".
After ChatGPT Atlas came out I thought it would be fun to find UI patterns that AI browsers couldn't figure out like multiple download buttons, hidden unsubscribe buttons, etc. So I created 7 levels of web dark patterns for AI browsers. You can try it yourself if you want:
https://codinhood.com/anti-ai-ui
I found Atlas can get through most patterns, so I created an even more unhinged one (job application form) that shifts the interface and flashes content.
Don't take it too seriously as actually testing AI browsers, it just a fun side project. I documented the patterns here: https://codinhood.com/anti-ai-ui/about
I'm working on a local multiplayer party game platform, a lovechild of Jackbox Games and Mario Party: https://gamingcouch.com. We just won silver at the Big Indie Pitch competition!
- Currently in free Early Access with 18 competitive mini-games.
- Players use their mobile phones as controllers (you can use game pads as well!)
- Everything is completely web-based, no downloads or installs necessary to play
- The games are all action based, with quick ~one minute rounds to keep a good pace. This means there are no language based trivia games!
- In the future we plan to open up the platform for 3rd party developers as well. We take care of the network connectivity, controllers etc.. 3rd party devs can focus on developing cool multiplayer mini-games without spending an eternity with networking coded and infrastructure.
Would love any feedback you might have!
Discovered in-door bouldering / rock climbing and now go 3x a week, am absolutely loving it! Because of that, I haven't really worked on any side projects in a while. Perhaps I don't need to? My job advances me plenty in my field, but it is a bit of a bitter-sweet feeling in a sense, like maybe I should try to squeeze more out of my free time somehow.
I'm building CommitKit, a tool that turns your git history into résumé bullet points and STAR-based talking points for interviews.
After being downsized twice in two years from senior engineering roles, I realized how painful it is to reconstruct what you actually accomplished at a job once you’ve lost access to your repos.
Each time, I had to dig through memory and scraps of old PRs to remember what I’d built. The first time, I lost GitHub access immediately after the layoff notice. This time, at least we got 90 days of paid transition work. But even with just 5 months in the role, I’d already made hundreds of commits. For engineers who’ve been around for years, that’s an impossible amount of history to summarize manually.
So I’m building CommitKit, a command-line tool that scans your repo for your commits, groups them by feature or theme using embeddings, and generates professional CV bullet points or behavioral interview summaries. It runs locally using Ollama, so your commit messages and diffs never leave your machine. The goal is to help people quickly turn real engineering work into clear narratives of impact, especially when time or access is limited.
It’s still early: the clustering isn’t grouping commits quite as I’d hoped, possibly due to sparse commit messages or embedding quirks. But it’s been a great learning project: my first CLI tool, my first deployment on Render, and my first serious use of Ollama for local LLM inference.
A 68030 based computer - https://github.com/jeffsponaugle/roscoe
It has been a super fun experience so far - I'm using CPLDs instead of an FPGA which makes the logic a bit more era period. I have a working system now with the math coprocessor, SRAM, DRAM, and other device support.
I am just about ready to get the VGA card I designed produced so I can work on debugging the design.
While this is fundamentally a system that ss less powerful than my apple watch, it is just fun to work on. Going back to very first principles debugging, building tools, and of course getting to exercise an old logic analyzer!
The software engineer in me wanted a break, but the philosopher and systems thinker wanted to speak.
So I've been building something with no imported libraries or dependencies: a card game that gamifies Maslow's hierarchy of needs: https://gamefound.com/en/projects/nicomar/actualize-this
Each player drafts cards that represent ways you can spend your limited time on earth to gather resources (wisdom, gold, and virtue) to complete your own personal player board (your hierarchy of needs) with the goal of reaching self-actualization before other players. However, you can still win without becoming self-actualized, if you complete more hidden quests (which can only be discarded by the "therapy session" card).
Building https://floxtop.com/, a Mac app that organizes your files and images.
It looks inside each file to see what it’s about, then moves it to the right folder with a single click. Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.
It already works with images, Office (Word, Excel, PowerPoint) PDFs, ePubs, text, Markdown, and many other file types (30+) in English. Next I’m adding multi-language support.
If you have messy folders anywhere on your Mac, Floxtop can help.
Try it for free - requires macOS 14+ with Apple Silicon: https://github.com/taranntell/fallinorg/releases/download/1....
Started work on a project to put local history on a map. If I go somewhere I would ideally want to just open this webapp and immediately get presented with cool or interesting history that happened close by.
Maybe it's a story about named local fishermen from the early 1900s, with pictures, the history of a statue and videos of the process, or the state of a graffiti wall over time.
Currently in a phase of UI development and testing, and historical societies outreach for collaboration. It might stall and just fizzle into nothing, or it might be something cool.
Also still doing https://wheretodrink.beer, but haven't added anything of note since playing on this other project.
Raptor - a new (Free software) way to build things like:
* Disk images
* Liveboot isos
* Container images (docker/podman)
Many build products are supported, with more on the way:
https://chrivers.github.io/raptor/builders/index.html#compat...
It uses a syntax that is inspired by Docker, but significantly enhanced.
Take a look at:
* The project: https://github.com/chrivers/raptor/
* The book: https://chrivers.github.io/raptor/
I recreated a little tool to simultaneously mount all the commits in a git repository as directories at the same time (but re-use the same inodes for the same content).
The code is at https://github.com/matthiasgoergens/git-snap-fs
The original was in Python and actually had a decent excuse for existing for a very specific problem at work a few years ago. The new version is in Rust and exists just for fun.
This was also a small experiment in coding with OpenAI's codex. I wrote the Python original by hand---like a caveman. Codex was mostly ok at the actual code, especially once I told it to make `cargo clippy` happy, but it needed lots of help with the design. It kept insisting on extra complications and state.
But perhaps I'm a bit unfair here, because I only figured out the nice and simple design after reflecting on the connection between Linux's fuse and git's design for a while when writing the original. So it's only fair that the computer would also need some help to see how to match them up nicely.
Built a local-first Kanban board with Tauri (Rust + Svelte) after getting frustrated with SaaS tools and basic offline options. Stores data in JSON files you control, full keyboard-first UX, parent/child tasks, release management, and it's blazingly fast with localStorage + background sync. No telemetry, purely local. Curious what others prioritize in personal task tools. Seems like there's a gap between "todo.txt" simplicity and Jira complexity.
Working on a programming language for webapps!
https://www.firefly-lang.org/
Speed is not an optional feature on the web. The site above is written in Firefly, uses hydration, and scores 100% on PageSpeed Insights.
The language is largely complete, and we're now working on DX: Got a language server, a devserver, and some essential libraries.
After taking a break from frontend development from a large corporate client. I wanted to get into iOS development to see how mature SwiftUI has become and finally get a chance to build my first iOS app. The result of that: PeekCard - https://peekcard.app
A simple iOS app for scanning (almost any) barcode and storing in the app, or adding it to your home via a widget. No tracking, no subscriptions, just a simple free app that is pretty simple to use and does the one thing I want it to do.
Building my own software has been super refreshing compared to working within a large organization. I really enjoy the path of just developing and it is fun to get into something different than React/TypeScript and Java. It was also really interesting to go through the process of publishing the app in the Apple App Store. Heard so many bad stories, but it was OK. Definitely not great, but not as bad as I was expecting.
Two learnings from this so far:
1. I do not think that I would want to do any Swift development in a large organization. Super fun to build indie style, but I can't imagine having to support 5+ years of old iOS versions. 2. I ditched most social media a long time ago and if you do not have any personal promotion channel, you are super limited into reaching any potential users for your software. I still do not know how to deal with this; I do not have any ambition to go back into building a social following. I just like building the "thing", but just building it is definitely not enough to get any traction.
For the current project I am building another iOS app, a bit more complex, also something I want to use myself. I was considering building with React Native, but ditched that plan because when I am building for myself, there would (I think) be a lot of overhead in testing Android.
For now I really like what I am doing, but financially I think I should consider going back to Java/Scala or React dev for a corporate client :-|.
https://digital-storybooks.github.io/multilingual/#/testbook...
My friend had a cute baby boy and mentioned difficulty in finding children's storybooks in Spanish.
Challenge accepted:
I built an AI generated multilingual storybook, just to see if it would work.
Tap or click the little monster to have it read to you.
Local LLM generated the story, stable-diffusion generated the images, AI converted text to speech in two languages: English and Spanish ( could easily do many more languages ).
I "filled the app out" by adding a simple landing page placeholder, login page and "library" page.
Just click login to move on, as it is currently not connected to a backend.Only the second book currently has a story, the others are placeholder templates.
Still very focused on making light healthier. 3 new products:
Bedtime Bulb v2[0]: A massive improvement over our original Bedtime Bulb, a light bulb meant for use in the evening to reduce blue light. The headline feature is the re-introduction of infrared, which was removed from lighting to make it more efficient, but emerging research suggest it's beneficial for health. After a long wait, this is shipping in 2 weeks!
Atmos Bedside Lamp[1]: A fully automated circadian lamp that automatically shifts in color and brightness throughout the day, helping you prepare for sleep and wake up more naturally. Working on some machine learning features that mimic the functionality of the Nest Learning Thermostat, but for lighting. The first units are shipping by Christmas.
Circadian Mode for Philips Hue[2]: A web app that gives your Philips Hue lights circadian powers, so that they gradually shift from bright light during the day to dim, low-blue light at night. It's way more powerful and easier to use than first- and third-party options from Hue, Apple, and Home Assistant. Just launched this week; looking for beta testers to give feedback!
[0] https://restfullighting.com/products/bedtime-bulb-v2-preorde...
[1] https://restfullighting.com/products/restful-atmos-preorder
[2] https://restfullighting.com/pages/circadian-mode-for-philips...
Over the years, I've read countless books. I started documenting one idea that shaped my thinking from each of these books. This idea may or may not be the core theme of the book.
Hope to document 100 ideas. Wish me luck.
https://www.jjude.com/100-ideas-from-books/
I was hitting Claude Code's rate limit pretty often while paying for their max subscription. Started thinking – I've got a decent GPU sitting at home doing nothing most of the day.
So I'm building a distributed AI inference platform where you can run models on your own hardware and access it from anywhere privately. Keep your data on infrastructure you control, but also leverage a credit system to tap into more powerful compute when you need it. Your idle GPU time can earn credits for accessing bigger models. The goal is making it dead simple to use your home hardware from wherever you're working.
It's for anyone who wants infrastructure optionality: developers who don't want vendor lock-in, businesses with compliance requirements, or just people who don't want their data sent to third parties.
Get notified when we launch: https://sporeintel.com
Running OpenStreetMap off the grid (self-hosted to say the least) on a Raspberry Pi 500 (and to some extent a Pi Zero 2W) for Internet In a Box:
https://www.linkedin.com/posts/danielkrol_openstreetmap-acti...
All of the street and satellite tiles are thanks to maps.black. The search uses Nominatim's sqlite3 mode. I was told that it's experimental only because it hasn't been tried in production yet, so I'm sort of testing it in the process. So far I'm only doing administrative boundaries and natural features, but so far so good! I'm going to slowly add a few more types of POIs, I just don't want the database file to get too big.
Note that Internet in a Box has an OSM offering already, but the data is five years old and the tech makes it harder to update. As of today, there are much easier options on the table, and we get cool stuff like 3d buildings. Also, the search was much more limited.
* https://internet-in-a-box.org/
* https://maps.black/
* https://nominatim.org/release-docs/latest/customize/SQLite/
When someone dies, you don't get even one extra second to access the documents and information they meant to share it with you.
Trying to fix this problem with Eternal Vault.
Link: https://eternalvault.app
Another thing thats in early alpha right now is CapKit, AI professional captions for short form videos
https://capkit.app
A few months ago, I saw a tweet from @awilkinson: “I just found out how much we pay for DocuSign and my jaw dropped. What's the best alternative?” Me being naive, I thought “how hard could would it actually be to build a free e-sign tool?”
Turns out not that hard.
In about a weekend, I built a UETA and ESIGN compliant tool. And it was free. And it cost me less than $50. Unlimited free e-sign. https://useinkless.com/
Building the world’s first “Travel Confidence Engine.”
I’ve been obsessed with how people actually make travel decisions — not how platforms think they do. From a consumer’s standpoint, travel isn’t just “search → compare → book.” It’s emotional, contextual, and full of FOMO.
You open 20 tabs across Booking, Google Maps, Reddit, and Instagram trying to answer simple questions like: Is this the right area? Is this hotel actually good? Am I missing a better deal somewhere else?
Most existing tools either oversimplify (like ChatGPT giving three confident but unverifiable answers) or hide information behind algorithms and commissions (like OTAs). Both remove choice — and ironically, make people less confident.
I’m building SearchSpot, a “Cursor for travel.” It automatically does what power travelers already do manually — cross-check reviews, verify real photos, compare prices across platforms — and then shows its reasoning transparently so you understand why something was recommended or excluded.
The goal isn’t to replace your decisions, but to help you close your tabs with confidence. From FOMO to flow. From chaos to clarity.
If you’ve ever spent hours researching a trip just to end up more confused, I’d love your thoughts: https://searchspot.ai/home
I built this: https://github.com/dvcoolarun/web2pdf — a CLI tool for converting web pages to PDFs, recently open-sourced after adding several new features. (Might be useful!)
Not related to the thread, but if anyone is looking to hire a developer or knows of opportunities, I was recently let go and am actively searching. Any leads or feedback would be greatly appreciated.
Sample PDF: https://drive.google.com/file/d/1n7M1TKOptSsYiibrbvV_Yojx53T...
I'm working on Flavia, an ultra-low latency voice AI data analyst that can join your meetings. You can throw in data(csv's, postgres db's, bigquery, posthog analytics for now) and you just talk and ask questions. Using cerebras(2000 tokens per second) and very low latency sandboxes on the fly, you can get back charts/tables/analysis in under 1 second. (excluding time of the actual SQL query if you are doing bigquery).
She can also join your google meet or teams meetings, share her screen and then everyone in the meeting can ask questions and see live results. Currently being used by product managers and executives for mainly analytics and data science use cases.
We plan to open-source it soon if there is demand. Very fast voice+actions is the future imo
https://www.tryflavia.com/
I'm building a small rural ISP and web hosting service, as a way to learn about low-level networking stuff. I've got an ASN + IP space, and am working out the details with a colo, local fiber provider, and some upstreams. Right now I'm configuring the hardware itself (server, router, switch, etc) and learning all the bits and bobs (Proxmox, BGP, OPNsense, IXPs, etc)
I'm reviving a project I last touched in 2006, in the hopes that it might be of use today in making social networking human again.
Back in the day, after the company I worked for bought the Electric Minds community and migrated it to its own CommunityWare system, and then the company that bought our company decided to shut the platform down, I reimplemented the community platform in Java and helped rescue the community. See: https://erbosoft.com/blog/2025/09/08/electric-minds/
EMinds eventually sputtered out because of the rise of platforms like Facebook. Well, now we see what came of that. So I think there's room for a platform like the one I used to have. See: https://erbosoft.com/blog/2025/11/03/what-we-once-had-and-co...
The new system is being written in Go. I'm porting the code over without using AI, though I have used Claude to translate the old crusty HTML pages into modern HTML with Tailwind CSS. Once it gets to the functionality I had back in 2006, I'll put it up...and then see about going beyond that, including how to make it distributed and provide more interoperability.
Every time I talk acquaintances, friends and family members about finances I'm always shocked at how little people know about basic things like tax brackets, 401Ks, IRAs, ETFs, compounding interest, debt management and etc. So I decided to write a financial literacy/education book with a bit of humor and easily comprehensible language to distill some of these topics. I'm about 1 month into it and try to write a chapter a week.
I've been working on a sillier project lately. Green teeth!
Lumina has made a probiotic strain that is able to, theoretically, prevent cavities. I don't care that much about, but I do think it is a neat strain that can likely colonize your mouth. I'm genetically engineering it to express sfGFP, which would theoretically make my teeth fluorescent green under black light. Would be fun at raves! Also, if I make out with anyone, you could theoretically see changes in microbiome composition just from green-ness. I do wonder how much microbiomes are shared while kissing: this would be an example of a way to directly measure that, instead of just measuring on proxy like much microbiome research
Working on Strot - an AI agent that reverse-engineers website APIs for scraping.
Instead of DOM scraping, it intercepts AJAX calls and figures out which API endpoint gives you the data you need. Uses visual analysis + fuzzy matching to identify the right call.
The use case: scraping product reviews, paginated listing data (products), etc. Existing AI scrapers either didn't work or were very slow and costly. A product with 1000 reviews takes 10+ minutes with Playwright, costs $10 with LLM scrapers. With Strot? 10 seconds via direct API calls.
Being used in production by a couple of clients. Would love feedback!
Blog: https://blog.vertexcover.io/strot-is-a-api-scraper GitHub: https://github.com/vertexcover-io/strot
Since I got a baby and we’re still adjusting to their schedule, I’m still working on the same project, Librario[1]. Librario is a simple book metadata aggregation API written in Go. It fetches information about books from multiple sources, merges everything intelligently, and then saves it all to a PostgreSQL database for future lookups.
You can think of it as a data source, or a knowledgeable companion that can provide comprehensive book information for online booksellers, libraries, book-related startups, bookworms, and more.
I got a pre-alpha build running for those that want to test it out[2], but the code is still not out there, as there are a few things I want to refactor. Wrote comprehensive documentation for it this weekend, now I need to refactor the merger package with some new rules, and write something to decrease the number of genres returned.
Been tough to find time to work on it because of the baby, but AI has been helping a lot to speed things up, and the work has been quite fun. Not sure if there will be interest in the idea, but it solves a problem I have, so I had to work on it anyway.
Hope to have the code on GitHub by the end of this week. AGPL licensed.
[1]: https://github.com/pagina394/librario
[2]: https://paste.sr.ht/~jamesponddotco/5612eaa80fc7eee8b6180a31...
I’m working on https://regularly.co/ - A website made for inquisitive minds to get their daily puzzle fix. Still very much a WIP (mainly working on tuning the difficulty of puzzles to make it enjoyable for most). That being said I really do enjoy the unique combination of puzzles when I do them each day. I’m looking for feedback so if you do take a look please do let me know your thoughts!
I'm making an HID translation dongle.
In programming mode, its a flash drive you can put LUA scripts on.
In run mode, you can select a lua script to run. Lua scripts can take HID input and produce HID output.
All open source, hardware and software: https://github.com/cedarhacks/ReMapper
It can do things like keyboard -> joystick mapping, key logging, macros, mouse wiggling etc etc
https://stretchmytimeoff.com
An algorithm to optimise vacation days using public holidays and weekends. Especially relevant at this time of year.
I created it a year ago and received quite some comments on the Show HN post[1]. Last weekend I updated it to work for end of year planning and adding fixed days off, which seems to solve most of the feedback. It was done with Cursor in agent mode.
[1]: https://news.ycombinator.com/item?id=42118039
Hey HN! I'm building https://openfret.com/ - the all-in-one platform for guitarists that I wish existed when I started playing.
OpenFret combines everything a guitarist needs in one place: smart gear inventory management, AI-powered practice sessions, real-time collaboration tools, and a vibrant community. Think of it as "GitHub for guitarists" meets comprehensive practice tool.
Core features:
1) Smart Guitar Inventory: Track your collection with auto-filled specs from thousands of guitar models. Monitor woods, pickups, scale length, string changes, and discover patterns in your gear
2) AI Practice Sessions: Generate personalized guitar tabs and lessons based on your practice history, with VexFlow sheet music and integrated metronome
3) Session Mode: Fork and merge music tracks like code. Layer recordings, see version history, and collaborate with musicians worldwide
4) Practice Analytics: Persistent timers, song tracking (Last.fm integration), scale visualization, fretboard maps, and chord progressions
5) Built-in Tools: Guitar tuner with frequency control, Strudel integration for backing tracks, and musical helpers to break out of E minor habits
Looking for:
Feedback from guitarists/musicians on which features resonate most
Link: https://openfret.com/ | Discord: https://discord.gg/G3Pur3PzZm
Thank you!
ABISan. Think of it like UBSan, but for assembly.
It's a custom assembler built on top of the LLVM assembler (llvm-mc) that emits instrumentation code to catch ABI violations at runtime. Stuff like clobbering nonvolatile registers, misaligning the stack pointer, misusing the redzone, assuming volatile registers don't change across a function call, etc.
Hoping to finish up basic x86_64 support within the next few days. I can now reliably assemble and run unoptimized gcc output without hitting false positives, but I still have to iron out some false positives triggered by OpenSSL's handwritten assembly routines.
TODO items for the near future include porting the runtime support library into a kernel module so I can instrument Linux, and beginning ports other architectures (ideally something semi-obscure like POWER or RISC-V). I also need to figure out how to support dynamic linking, because the tool currently needs static linking to access its thread-local variables.
https://github.com/kenballus/llvm-project/tree/abisan/llvm/t...
Currently working on two OSS projects:
Laketower: https://github.com/datalpia/laketower A lightweight data lakehouse exploration and management app (web+cli), using DuckDB as the default query engine. It can run locally or self hosted, and for now statically configured only. Hope to integrate Iceberg and Ducklake support by end of year.
Modelship: https://github.com/datalpia/modelship An ML model to app generator. For now, only ONNX models are supported as input, and only static website as target (onnx runtime web wasm/webgpu). I intend to also work more on it the following weeks/months, especially to support more model I/O types, and add support for more targets (REST API, CLI, etc).
These 2 projects were born from professional activity needs but are a nice playground to learn and try new things
DIY grid-tied residential solar+inverter+battery. Trying to design the solar arrays' tilt mechanism now for lifting/lowering 5 panels at a time in winter (60-degree winter angle, 35-degree spring/summer/fall; ~24" difference). Thinking either two linear actuators, or a single hydraulic jack connected to multiple support beams. The weight isn't much, but I want a way to lift entire top edge at once to prevent twisting. Linear actuators are slightly more money and easier to build, but require power and weather-proofing. Jack is cheaper, but more complex to distribute force. Wondering if there's other options. (winch would require more robust/taller rear posts, seems more complex, might shade rear array)
I’m working on “Stripe Integration as a Library.” It seems that whenever someone uses Stripe, for example for subscriptions, they go through the same few steps: creating a database table, setting up webhooks, and implementing the events they care about. The challenge of course is that everyone uses a different stack.
I’m building this using our framework for stack-agnostic JS/TS libraries. On the database side, we currently support Drizzle and Kysely, with Prisma support coming soon.
https://fragno.dev/docs/our-fragments/stripe/quickstart
Inspired by the Stripe integration built for better-auth.
Working on a charity + website (not live yet) that allows you to centrally manage your charity donations.
I'm in Germany so I'm working on a Germany-specific solution for now.
- you choose from a list of charities (right now I'm working with the list from the https://dzi.de plus a few such as Wikimedia Deutschland)
- you setup a recurring donation to our bank account
- we redistribute the money according to your split
- no spam in your email and snail mail
- one pdf at the end of the year for your tax returns
I'm not planning on taking any cut of the donations obviously, so this will be a fully self-funded project at first, but I'll reach-out to foundations once I'm up and running.
The URL will be https://super.giving/ (not setup yet, should be fairly soon).
I'm also planning on releasing the source code as open-source.
I'd be happy to hear your feedback, either here or via email :)
I am working on Rad [0], a programming language built specifically for CLI scripts, so you don't need to write Bash, and it offers CLI-tailored features which make it a better choice than Python.
Lately I've mainly been working on stability and bug fixes. I've released some big features the past few months so I'm doing a big push on polish, before I again tackle some larger features that I'd like to implement.
If CLI scripts is something you're interested in at all, give it a go! We have docs and a guide [1] for getting started, feedback very welcome :)
[0] https://github.com/amterp/rad [1] https://amterp.github.io/rad/guide/getting-started/
I'm working on fighting IBM's patent trolls. IBM slapped the words 'AI Interpretability' on Gauss' 200 year old continued fractions and was awarded a patent.
Now they can charge rent if they encounter a continued fraction library in the wild.
It's bizarre
As a means to learn about both WebAssembly and Rust, I started writing a WebAssembly binary decoder (i.e. a parser for `.wasm` files) from scratch.
Recently it hit v2.0 spec conformance. 3.0 is next on the roadmap. (I'm executing it against the upstream spec test suite.)
My aim is probably not for it to become a highly-performant decoder for use in production environments, but rather one that can be used for educational purposes and/or debugging issues with existing modules. That's why I decided not to offer a streaming API, and why I'll be focusing on things like good errors, good code docs etc.
https://github.com/agis/wadec
P.S. I'm new to the language so any feedback is more than welcome.
I created a free collection of 4,300+ real website designs (screenshots, fonts, colors, live links)
https://fontofweb.com/u/fontofweb
I was tired of inspiration sites like Dribbble full of polished mockups that aren't practical. Or awwward like sites that don't represent the mundanity of most websites.
So, I spent a while building a tool that captures website design snippets. It's now a collection of 4,363 designs from 544 different domains.
For every design, it extracts:
The exact fonts used on the page (so far 561 unique font families I've found)
The precise color palette
A direct link to the live site
You can check out the full free collection here: https://fontofweb.com/u/fontofweb
About 2 years back I began working on a very simple markdown compiler, it was “immediate” in that it would consume markdown and immediately spit html. That project turned into a whole static site generator called Kevlar — https://github.com/aadv1k/kevlar
Entirely built from scratch in C without any dependencies. Now I wrote this code when I was 16, so many memory leaks and generally issues that I wanted to rectify and begin using third project for my own blog (currently old version is used — https://aadvikpandey.com)
The Kevlar v3 (https://github.com/aadv1k/kevlar/tree/kevlar-v3) here is all that it includes; more spec compliant markdown AST-based parsing; A better .ini config parser (right now it’s literally strtok on ‘=‘ and generally very hacky) as well as name spacing; more powerful templating tags like IF, FOR with lisp-like configuration
Of course staying true to the spirit of “from scratch” :)
Honestly I did scope creeped a little since I mainly wanted to fix a memory leaks issue in the markdown compiler lol; anyway I will share it once it gets completed on hacker news :)
Plug-That-In [https://plugthat.in] (Mac App; Paid)
An annoying little laptop charging reminder utility that does the job.
---
There are times when I am deeply involved in a focus-work session, a meeting, OR watching some sort of engaging video content, and don't pay timely attention to the standard low battery notifications from my MacBook.
After the laptop shuts down suddenly, what follows is the most annoying walk to find the charger or the charging outlet. It's frustrating at times, sometimes embarrassing because you have to say, "Sorry, my battery died down" as you join back the session after 2-3 minutes.
Over the last 3-4 weekends, I have been building Plug-That-In, which has floating notifications. Essentially, a notification that follows my cursor movement, so I get a stronger nudge irrespective of what I am doing.
There are a few other critical features, such as Reminder Mode and Do-Not-Disturb Settings.
- Reminder Mode: On critical/lower battery levels, it will keep beeping like a car's seat belt alert for some time (configurable) when the battery is really low.
- Do-Not-Disturb settings: Configure what sort of alert/sound it will generate when I have system audio playing or video playing, or the camera is active.
It has addressed a personal need and has already proven useful a few times over the last weeks.
I recently have gotten into the "drag and drop" forms of programming like Node-RED and n8n.
Obviously, anyone here who has read my posts knows I know how to write code, but having a bunch of built in connectors that are agnostic to each other with the Oauth and the like being somewhat plug and play allows me to iterate on some ideas a lot quicker.
I installed an n8n instance on my server, and have become kind of addicted to making different Discord bots, and I'm having more fun with this than I thought I would. 95% of the stuff on there is basically drag and drop, and when I need more elaborate logic then I can easily drop into JavaScript. I am looking into writing new nodes for different services, and I keep having new ideas for different stuff I want to build.
Check out my project at https://www.MobiusClock.com: A 3D WebGL Clock on a Möbius Strip that shows 24hr time on a 12hr face. The hour indicator follows the edge of the strip, thus must make 2 turns to return to its starting point, giving you a 24 hour clock. The minute and second indicators move along the middle of the strip and thus return to their starting points in only one turn. Has the ability to rotate!
I am working on SecurityBot https://securitybot.dev a service that combines uptime, performance, SEO, and security monitoring. Among other things it inckudes PageSpeed Insights analysis, a broken link auditor (401, 404, 500, etc), and historical ping/uptime results.
I recently shipped an MCP server thst can delivered broken link results to Cursor so they can rapidly be resolved.
I’ve been working on ScratchTJ, a DIY digital turntable built with a Raspberry Pi and Arduino Nano. It’s based on the open-source SC1000 code, but with some hardware changes and tweaks to make it easier to build and customize.
It runs on a Raspberry Pi 2 with an AudioInjector sound card, a small LCD screen, a rotary encoder, and even an old hard-drive platter as the “deck.” The goal is to make a simple, open, and affordable way to experiment with scratching and mixing — no fancy gear required.
It’s still in progress, but it works pretty well and has been a fun way to explore DIY DJ tech and embedded audio.
Repo: https://github.com/no3z/ScratchTJ
I’m working on Shapiful, a cloud-based platform that makes designing and generating 3D-printable labels and custom objects fast, simple, and accessible to everyone. https://www.shapiful.com The idea is to remove the steep learning curve of traditional CAD tools while still giving you precise, print-ready models in minutes. With Shapiful, you can create personalized labels, signage, tags, stamps, LEGO-compatible pieces, or even board game tiles by customizing shapes, text, braille, or QR codes. You can also upload existing STL files and overlay text or graphics seamlessly, with live 3D previews, parametric scaling, and automatic surface detection to make placement easy. We support a variety of shapes, mounting styles, and text styles (embossed, debossed, engraved, or negative), all designed to produce durable, professional-quality models ready for printing. The platform is aimed at engineers, designers, educators, hobbyists, gardeners, and 3D printing enthusiasts who want fast, flexible, and fun customization without the complexity of traditional CAD software. Essentially, Shapiful turns 3D printing personalization from a technical chore into an intuitive creative process, whether you’re making home labels, company signage, accessible braille tags, or playful DIY projects.
Building https://typequicker.com
I’ve always wanted a typing application that’s both more than typing random words and is data-focused so I built this.
The more you type, the more the analytics system learns about your typing patterns and generates natural text to target those weakpoints (SmartPractice mode).
There’s a lot of variety as well; you can practice typing code in any programming language, or type text of various topics, use custom text, etc).
Porting my 2014 WebGL game (https://phoboslab.org/xibalba/) to the N64: https://x.com/phoboslab/status/1982883072292069641
I am spending my free time doing a few projects to relax and "fix" a few things that should improve my productivity:
- An AI RSS feed summarizer (https://feeds.carmo.io)
- A PyObjC replacement for the bloated StreamDeck app (https://mastodon.social/@rcarmo/115498602604176483)
- A new keyboard, mostly to get back into SMD soldering (https://mastodon.social/@taoofmac/115521815709828495)
- A bunch of small MCP servers for other projects (https://mastodon.social/@taoofmac/115315732816298110)
- A case for a little server (https://taoofmac.com/space/reviews/2025/11/09/1930) that will eventually run at family's out in the countryside and manage a few ESP32 boards scattered around
I've built a self-hosted reddit-like community platform in Go: https://baklab.app
Users can create their own sub-communities, and within them, set up different categories and boards. Posts can be voted on, and board types can include regular posts, Q&A, or live chat. It's like a hybrid of Reddit and Discord but leans more towards a traditional web community. It also supports server-side rendering, making it SEO-friendly. This project is an extension of my previous Hacker News clone, dizkaz (https://news.ycombinator.com/item?id=43885998).
In network code: most people just let the OS choose a default adapter. It works fine, but it makes it hard to write software that works across machines with either (1) multiple NICs (and/or networks they point to.) or (2) multiple external Internet IPs. Look at STUN, for example.
A STUN server that lets people test what type of NAT they have uses two IPs. For such a server you have to manually specify the addresses to bind on to make for sure its setup right. As it goes, writing network software to do simple things like "bind on all local addresses", "bind publicly", "bind on all", is harder than it sounds. There are edge cases on different OSes and address families, so manually managing IPs is hard to do.
My network software lets devs easily manage NICs and routes they support without guessing about addressing. Additionally, I've written a bunch of software with the library already to do things like NAT traversal. So its really my own redesign of how to do networking on the Internet. Designed to hide a lot of the messiness. I'm still improving code quality so it's not ready yet. But I've been dog fooding with a lot of software written in it and smashing bugs every day.
Project page: https://github.com/robertsdotpm/p2pd Built this recently with it: http://ovh1.p2pd.net:8000/servers (server monitor for public STUN, TURN, MQTT, and NTP servers. Only checks every 4 hours to avoid spamming them though.)
Pretty much finished my photo gallery app for Windows -- https://github.com/Bloomca/Piktosaur. It is a pretty standard gallery viewer, the main feature is that you can point it at any folder and it will recursively search nested folders for extra images, e.g. an external hard drive.
Really happy with it as I wanted exactly that for myself.
---
The next idea I am going to work on is the audio player. I already wrote a Rust library to read TOC + raw track data from audio CDs (https://github.com/Bloomca/rust-cd-da-reader) and a CLI tool to do so + convert to FLAC and embed metadata from MusicBrainz (https://github.com/Bloomca/audio-cd-ripper).
I've been researching this topic and while my background is related to digital signal processing, I think I will use a library, there seem to be too many edge cases to work with WASAPI and such directly.
I just launched a 10-Bit Video Thumbnail Provider for Windows.
Windows does not natively support rendering thumbnails for 10-bit videos, which are commonly produced by cameras like the Sony A7IV.
When I started working on a short film the video clips were piling up on my hard drive. Opening them one by one to find what I was looking for was tedious.
I could not find a reputable solution to this problem, so I started a company and built one. I went through the process of EV Certification to have the installer and executable code signed.
I hope to be in the Microsoft Store soon.
I'm also building other utilities with similar purpose.
https://ruptureware.com/thumbprovider
I'm building a Jellyfin client focused on music using Rust + GTK:
https://github.com/Fingel/gelly
I've been enjoying rebuilding my music collection from both old hard drives and ripping old CDs. Jellyfin is great but I wanted a native application focused on music, not video. Thus Gelly. It's been really fun to work on.
I am working on my own Lisp-like language (cliche, I know). Goal is a hybrid. Syntax is a bit more Clojure inspired, but want to emulate the interactivity of SBCL once I am done.
And the other goal is minimal dependencies. The only bootstrapping stage is a very very small core in Common Lisp + FSet but could also be replaced with other languages, and then using that subset to bootstrap the rest.
There is absolutely zero claim to be highly performant, it is more of an educational experience.
All of it is done via literate programming in org-mode. So far it's working pretty well, but will have to see how that approach works if the project grows.
I'm working on a K8S hosting solution that just gives the user a simple Kubernetes cluster. I (or we) handle the compute, (networked) storage and ingress hosting for you, and the cluster provision time should be within minutes.
You just need to pay for a fixed monthly upfront cost rather than PAYG, giving small developers a good save of their money.
In other words, this is similar to self hosting with K0S/K3S/OpenShift, except you don't have to own servers to begin with, in other words, it is a little similar to serverless K8S.
Well, all you those you can actually do with a VPS today, heck why do I have to do it if EKS/GKE/LKE/OKE/DOKS exists? That's because it takes a lot of time to properly setup VPC/EBS/S3/EC2, you need to pay an insane amount of premium and overheads to those while an ordinary user just don't want to hassle too much.
I want to undercut the big clouds by saving people's money and time. I have had enough of seeing a ludicrous EKS billing. I just want K8S to be the control panel of everything.
Deploy, run and scale later, simple as that
I'm resurrecting peer-to-peer Matrix (https://arewep2pyet.com) thanks to the Dutch government, who started funding it in October.
The main question is which P2P overlay network to use, if any: the prior incarnation used Pinecone (a variant of Yggdrasil), whereas this time we're pondering keeping it simpler and more scalable and using Matrix itself as the backbone to connect together smallish local P2P meshes - so by default you try to route via Matrix, but failing that you look on your LAN or BLE to see if you can talk directly to whoever you're addressing. Time will tell if this works :)
Currently working on getting back into a fitness routine. I got into this habit of hacking on side projects in my very little spare time but I have realized taking care of my body will pay off far more than any project
Today I'm hacking on automate-terminal, a command line program and Python library that abstracts the various terminal emulator automations (iTerm2, WezTerm, Kitty, tmux) into a single API. Mostly made for use by other tools. https://github.com/irskep/automate-terminal
Working on a binary that will instrument every Java service running on Linux host machine with OpenTelemetry Java Agent.
Kinda like this (https://github.com/open-telemetry/opentelemetry-injector) but with support of having multiple service name for different services. This includes tomcat, normal systemd services and also services running inside docker containers.
EDIT: I am popping my cherry with this comment on HN. Been a lurker since past 2-3 years.
I've just released my beta of FURS.
FURS does for Forth, what headers do for C, namely provide all the embedded configuration information inside a Cortex-M MCU, for the up to 100 inbuilt peripherals.
Without this data, neither C nor Forth (or any other language) have any clue about how to use the peripherals.
FURS does this by intercepting the Forth user source as it's uploaded to the on-chip compiler and transforming it into language the MCU inherently understands.
The Forth user source code is not altered in any way.
I've used the Fossil DCVS for the entire FURS project so that all the flowcharts, pictures, code, user doc, trouble-ticket, wiki ... everything is contained in the ONE FILE, under 5MB.
This one file gives you a web server so all you need is a browser to easily view all the above from the main menu.
Howto: https://sourceforge.net/projects/mecrisp-stellaris-folkdoc/f...
I'm working on Pocketdata - a personal, private AI data plane.
The idea is to take boring components: PostgreSQL, Bifrost (LLM gateway), Open WebUI, LanceDB, Agentgateway (MCP and OpenAPI gateway) and deploy them in Fly.io. One Fly.io "org" per user. The closest equivalent is blaxel.ai, but it caters for AI SaaS startups, not individual customers.
The combination of the fact that Fly secrets are visible only from within the apps, distroless containers, and transparent data encryption for PostgreSQL assures that the service (Pocketdata) provider cannot access their data, only the infrastructure provider (Fly.io) theoretically can, but practically speaking, this gives an extremely high degree of privacy assurance.
The latest update on the project: https://engineeringideas.substack.com/p/tasklet-is-the-o1-mo...
I've been wanting to learn more embedded type projects, and I've been snacking too often so I've been building a box that will only open on the weekends.
I got all the components, tested it on a breadboard, learned to solder and now I'm working on the 3d Print to enclose everything.
I actually just did a test run to see if my current 3d design would fit my PICO board, and it fit, but not that secure yet.
Im a developer but never worked this close to metal, so I've been so happy with how it's been going so far, making me real proud of myself.
Dog enrichment calendar - I have a lot of different types of treats, toys and activities that I'd like to do with my dog but I fell into routines and just gave him two or three toys and treats on repeat. So I'm building an app where I'd be able to configure an inventory of all the treats and toys I own and the app would remind me to use a new toy or treat every day, to minimize repetition. You'll also be reminded ahead of time for toys and treats that require preparation
I’m working a Garmin watch app to query all the rich data on the watch (health, physical, environmental, location sensors) from the watch + general AI assistant. Privacy focused using your own keys and Gemini. API calls direct from watch - no backend. https://untether.watch
https://RadioPuppy.com - Listen to 1000s of online live radio streams.
This is a pet project for myself. I love listening to online radio while at work, helps me focus. But I didn't really click with any of the current selection of web apps out there so decided to build one myself.
It uses the great API available at radio-browser.info for all the radio information.
Been using it as a way to learn how to market a website as well. Learning a lot.
I welcome any constructive feedback.
https://eidetica.dev
I've been building a Decentralized Database built on top of syncing CRDTs, and recently got it to a point I can demo. It's definitely in a "proof-of-concept" stage though, known security holes and all.
I've been focused on building out the featureset and keeping everything unstable instead of trying to finalize each piece as I build it. It's the opposite of how I normally build things but I think it's been working pretty well for this.
I've written about it a few times, most recently "Using CRDTs + Sync as a Database" - https://jackson.dev/post/crdts_as_database/
I'm working on Solitairle – a Yukon solitaire game where every board is guaranteed solvable: https://solitairle.com
Why? Most solitaire apps frustrate players with impossible games or endless randomness. Solitairle is designed for people (like me) who want a satisfying win through skill, not luck. Every day brings a new, solvable challenge, complete with helpful tools (back button, dead-end warnings) to keep it fun and frustration-free.
I’m especially interested in feedback from people who:
Enjoy casual puzzle games but get discouraged by unwinnable setups,
Value clean, minimalist interfaces without ads,
Have ideas for daily challenges or fun player stats.
Would love your thoughts: What frustrates you most about digital solitaire? What would make you want to play daily?
https://linog.ph
LINOG.ph is a live earthquake tracker for the Philippines.
The Philippines deals with thousands of earthquakes a year. Whenever the government volcanology and seismology department detects earthquakes, they post it on their official website.
When a major earthquake happens, a huge number of people try to visit the site, causing downtime for up to an hour.
LINOG.ph caches earthquake data from the official government website and the U.S. Geological Survey site, and makes them highly available to the public.
I built this after seeing friends and family donating and providing support for affected families after a major earthquake in Cebu. This was my way of helping out.
Two super typhoons have hit the Philippines in the past two weeks, so I'm also considering adding in typhoon tracking.
https://socratify.ai
Career Skills AI Coach. Sharpen how you think and speak by debating AI
We are clearly on the verge of the largest white-collar skills dislocation ever. Our goal at Socratify is to make skill building and reskilling for interviewing, onboarding, promotions, and career change as effective as possible with an AI coach and sparring partner.
I’m working on a quantum simulator written in C++ from scratch. I’m not using any external library, so I had to implement everything from the lazy eval structure to the eigen solvers and so on. It’s still very a WIP, but here’s the repo: https://github.com/braketware/hilbert-qusim
Any feedback is welcome!
Frustrated by the complexity and high overhead of most monitoring tools, I wrote Simon.
It’s a single binary, dependency-free monitor in Rust that does it all: metrics, Docker, alerts, and file browsing. While maintaining a minimal footprint for embedded systems and other constrained hardware.
https://github.com/alibahmanyar/simon
I've been working on Tech Talks Weekly which is a free weekly email for software engineers who want to keep up with new conference talks and podcasts without drowning in YouTube/RSS feeds.
https://techtalksweekly.io/
Every week I pull together all the new talk recordings from hundreds of conferences (Devoxx, KubeCon, PyCon, QCon, LeadDev, dotJS, and many more) as well as podcasts. I highlight a few must-watch ones with short summaries, then include a list of everything else uploaded that week.
It started as a personal project to fix my own messy YT subscriptions, and now 7,000+ people read it. I also publish fun extras like “Most Watched Talks of 2024” for Python, Java, Rust, etc.
If you watch engineering talks, you might find it useful. I’d love to know what you think!
There are many language-learning apps, but almost none that focus on improving conversational Hindi for kids.
Made this web app for my nephew, based in Singapore, after watching him struggle to find anyone to practice Hindi with outside of family calls (since most of his friends are Chinese). The idea is to have a 24x7 partner to speak with Hindi and make it fun. This can complement the formal Hindi classes that most kids of Indian diaspora parents take.
My nephew started using this and is enjoying it!
Link: https://www.hindispeakingtutor.in/
Looking to hear feedback from the community!
I have always wanted to learn Rust, but was too distracted to get started.
So, I started working with Claude on building a postgres database replication application. I'm learning Postgres internals as well as how brittle database replication and subscription can really be. Although this is for Seren, you can replicate between any PG databases. https://github.com/serenorg/postgres-seren-replicator
Big learning: Claude Sonnet with Rust is massively productive. I'm impressed, but code bloat is a thing.
I‘m working on Astroloot, think of a Diablo/PoE like ARPG but in space.
I‘ve just finished the final pinnacle boss of the endgame in the version released last weekend.
https://store.steampowered.com/app/3498390/Astroloot
I'm working on boiling the ocean - we're building a new CRM to compete with some of the big players. I tried very hard to avoid doing this, but I've helped enough business owner friends set up CRMs to realize there's MUCH to be desired. My goal is to create a CRM that people rave about - something that is very rare. Pretty much everyone I help views CRMs as a necessary evil. Our bold challenge is - can we make a CRM that is delightful to use?
Of course we have to slap "AI" on it in this market, but we plan on adding AI features that are actually thoughtful and not just a glorified chatbot.
I'm working on Volt-Test, a performance testing engine I started building after repeatedly debugging concurrency and race-condition issues in Laravel/PHP applications.
The idea is to bring something like k6 to the PHP ecosystem:
A Go-based load-testing engine
A PHP SDK that lets developers write performance tests inside PHPUnit
Assertions for latency, error rates, and business logic
Can spin up local servers and run in CI/CD
Working on distributed mode to scale tests across multiple nodes
Currently building the cloud version so teams can run large tests without managing infrastructure
For Laravel developers, I also released a package that integrates Volt-Test directly into the framework:
https://github.com/volt-test/laravel-performance-testing
It supports automatic route discovery and makes it easy to write performance scenarios using familiar testing patterns.
Docs + examples: https://php.volt-test.com
If anyone here has experience building or running distributed load-testing systems, I’d appreciate any feedback or pointers.
Reverse image search to match dirty XTC tablets to lab reports https://pillscanner.app/
https://kauwenofspauwen.be/en Belgian food hygiene rating from official gov reports
Been working on documenting as much publicly-accessible stained glass as possible with https://stainedglassatlas.com/. No fancy tech (vanilla HTML/CSS/JS). Come document any local stained glass in your area!
I'm working on a JSON schema discovery tool, JSONoid[0]. JSONoid can discover many more features of JSON Schema than existing tools such as regular expression patterns, formats, and dependencies. I'm also working on integrating this with some past work I've done on using LLMs to augment JSON Schemas[1,2].
There are a number of use cases for such a tool. One is for helping data analysts who are handed a pile of JSON documents to be able to more quickly and effectively craft analytics pipelines for heterogeneous data where just inspecting a few documents isn't sufficient. Another is to help automate API specification generation and regression testing. Definitely interested in any feedback.
[0] https://github.com/dataunitylab/jsonoid-discovery/ [1] https://michael.mior.ca/blog/llms-for-schema-augmentation/ [2] https://arxiv.org/abs/2407.03286
https://www.saintbeluga.org/
I was a YC founder in 2006 and now work as a data scientist full-time, but on the side I also do Christian apologetics, helping fellow engineers/scientists/mathematicians seek answers to life's deepest questions.
Some cool articles for the HN crowd:
- [published several days ago] Medical miracles in Lourdes, France recognized by the Catholic Church 2018-2025: https://www.saintbeluga.org/our-lady-of-lourdes-immaculate-c...
- My interview of Evan O'Dorney, a three-time Putnam Fellow and two-time IMO gold medalist, who converted to Catholic Christianity: https://www.saintbeluga.org/veritas-part-i-conversion-of-a-p...
- In-depth scientific overview of Eucharistic miracles: https://www.saintbeluga.org/eucharistic-miracles-god-under-t...
- Conversion testimony by Harvard astronomy professor Karin Oberg: https://www.saintbeluga.org/veritas-part-ii-conversions-at-h...
For the past 2 months I have been doing a heavy deep dive into image generation and image generation editing capabilities. This then had me discover that you can generate storyboards for short stories, and automate the creation of these as videos with video generation models. This is a topic that interests me heavily, and as such I am now building my own workflows around that. I am documenting the entire journey here:
https://edwin.genego.io/blog
https://edwin.genego.io/blog/lpa-studio
https://edwin.genego.io/blog/ai-branding
It's not something I am looking to commercialize, but I actually did drop out of film school (with semesters in creative storytelling) to pursue software 15 years ago. And I feel like this will open up a whole new way of visual storytelling as well as personal and product branding. I have gotten quite some emails about it, from interesting people in different industries, as some more strongly worded (not so nice) emails from someone in the VFX industry since I started. Its by far one of the most interesting tangents I have ever went on.
A low(er)-level agent runtime: https://github.com/smartcomputer-ai/agent-os/
AgentOS is a lisp-machine inspired runtime where agents can safely propose, simulate, and apply changes to their own code, policies, and workflows, all under governance, with full audit trails. Every external action produces a signed receipt. Every state change is replayable from an event log.
I've been working on two game development projects for the past couple of years.
One project is for building rhythm games in multiple game engines and multiple platforms. Currently, it works in Unity, Unreal, Godot, SDL (or any C++ game engine), and MonoGame (or any C# game engine), and runs on Windows, macOS, and Linux. I'm working on adding Love2d (or any Lua game engine) and Bevy (or any Rust game engine). I have a few local prototypes of it working in Unity and Godot, but nothing public yet. Still trying to figure out what kind of game I want to make with it.
https://github.com/neogeek/rhythm-game-utilities
The other is a general purpose game engine in C++ with SDL. It's far enough along that I'm building games in it, but it's more of an exploration into how games are made than a replacement for Unity or Godot. I suppose it could be eventually, but I'm trying to be realistic with what it can do. One thing I'm pretty happy with regarding this engine is that one of the demo repos will automatically build to WebGL and publish to itch.io when changes are pushed.
https://github.com/HandcrankEngine/HandcrankEngine
I’m building A2Fusion [1], a dual RP2350 expansion board for the Apple II to provide, storage, hdmi video and other functions in one card. The PoC is currently a big mess of wires. Waiting on JLCPCB for first prototype boards.
[1] https://m.facebook.com/groups/5251478676/permalink/101664026...
A Civil 3D plugin (Genabler) that will include all the network catalogs and collate the Civil 3D styles for civil engineers to use. There are some out-of-the-box catalogs and styles shipped with the default installation, but they are quite limited and fairly well hidden—which is not surprising, given that Civil 3D is a huge beast. As a result, they are not commonly used.
When people think about Civil 3D, they often assume it requires BIM modelers (in a sense, just glorified drafters) to create all the necessary catalogs and styles, and to assist with their use.
My Civil 3D plugin will:
1. Make standard, market-compliant catalogs and polished styles available to engineers at large. Think of it as the WordPress theme provider equivalent.
2. Make the entire process easy and painless through the plugin, with prominent buttons for quick access.
If the plugin is done well, there will be less need for BIM modelers, since for a fee, engineers could simply purchase catalogs and styles that are so easy to use they require no technical training.
As a side benefit, I also get to explore how LLMs can help me write code. It has been a while since I last updated my AI usage policy [0], and I look forward to revisiting it.
[0]: https://civilwhiz.com/my-ai-usage-policy/
I'm working on restoring (or really resto-modding) a 1980's Japanese arcade machine.
https://share.icloud.com/photos/00ajYWxKpZmYrh6KmlHOxW4tA
I was able to get the original 15khz CRT monitor up and running by recapping the board. I decided that the control panel was unsalvageable, and insufficient for what I wanted to do, which was make this cabinet compatible with most any game that would have run on a cab like this.
I decided to use RGB lit buttons, so I could change the color's depended on which game was loaded. I used an ESP-32s2 to emulate a keyboard, and accept serial messages from the host computer that changes the button colors.
I also incorporated a Stream Deck in the control panel for auxiliary functions. I was able to write a node application to run the stream deck (with the help of a library) since there is no OEM software for linux.
By far the most challenging part was getting a suitable signal to the CRT. The first thing I tried was using the Raspberry Pi's GPIO pins through a VGA666 board, but this limited my colors to 16bit, which makes 3d games look pretty awful.
Next I tried using a downscaler. This got me 24 bit color, but resolution switching doesn't work with this method.
I'm trying an AMD system now. Apparently the linux driver lets you set custom resolutions, and output 15khz (and 25khz for that matter) right from the VGA port.
I plan on doing a writeup after I near completion.
I'm working on Argon Chess, a deterministic chess variant with some degree of cheat resistance (hard to describe to chess engines like Fairy Stockfish) and tons of variety. A week ago, I added a way to play friends online a week ago (a Discord Activity) and a simple Play a Dumb AI feature on its website. You can also print the cards for free for offline play. https://argonchess.com/
I am learning Godot engine, going through the list of 20 games in order to build up my experience https://20_games_challenge.gitlab.io/
I am almost done with flappy bird (2nd challenge)
Why? I love the old arcade and game boy games, and I want to recreate them to my liking. I also love mechanical systems and space rovers, and I want ro build worlds to explore and simulate these things
I'm working on 3 projects right now:
---
Backdoor: https://github.com/tanin47/backdoor
A self-hosted database querying and editing tool for you and your team. Modern and elegant UI. Supports Postgres and ClickHouse. It can be embedded into any JVM app or runs as a standalone.
---
Embeddable Java Web Framework: https://github.com/tanin47/embeddable-java-web-framework
A lightweight production-ready Java web framework that comes with batteries (e.g Svelte, Tailwind, Github Actions, browser testing).
It is packaged into a single fat jar with no external dependencies. The starting size is 350KB. This is great for embedding into your larger JVM app or runs a lightweight website.
---
PlayFast: https://github.com/tanin47/playfast
An opinionated production-ready PlayFramework that comes with batteries (e.g Svelte, Tailwind, Github Actions, browser testing).
Postbase
Open source, drop-in replacement and self-hosted alternative for Firebase
Using Node.js, Express.js, BetterAuth and PostgreSQL (JSONB)
https://github.com/umrashrf/postbase
https://bgpipe.org/
I'm working on a man in the middle proxy for BGP, which can fix and inspect routing sessions on the fly. Like a firewall for the BGP control plane.
I've been studying wine and was a bit frustrated with the wine note taking apps around, so I've been building one. It allows to:
- Scan wine labels (it analyzes the label automatically)
- Add structured or unstructured tasting notes
- Create lists (shared or not) to keep wines organized
- View information about the regions/grapes
It's called Cork Club: https://corkclub.app/
https://gametorch.app/sprite-animator
Create video game sprites and animations via prompts.
Pretty excited because I've started to get high volume, repeat customers.
A RAG Boilerplate with Extensive Documentation
I open-sourced the RAG boilerplate I’ve been using for my own experiments with extensive docs on system design.
And I have bunch of LLM+RAG blogs I post frequently last 2 months : https://mburaksayici.com/blog
It's mostly for educational purposes, but why not make it bigger later on? Repo: https://github.com/mburaksayici/RAG-Boilerplate - Includes propositional + semantic and recursive overlap chunking, hybrid search on Qdrant (BM25 + dense), and optional LLM reranking. - Uses E5 embeddings as the default model for vector representations. - Has a query-enhancer agent built with CrewAI and a Celery-based ingestion flow for document processing. - Uses Redis (hot) + MongoDB (cold) for session handling and restoration. - Runs on FastAPI with a small Gradio UI to test retrieval and chat with the data. - Stack: FastAPI, Qdrant, Redis, MongoDB, Celery, CrewAI, Gradio, HuggingFace models, OpenAI. Blog : https://mburaksayici.com/blog/2025/11/13/a-rag-boilerplate.h...
For my work I've developed a web-based Monte Carlo simulator with a visual, node-based editor for building supply chain models. Last week, I started making it available for everyone.
You can have a look at https://simcarlo.com. The tool allows you to see the full spectrum of potential outcomes instead of just a single guess.
A kernel extension-less sshfs for macOS. I tried using FSKit and got halfway before I felt too constrained by the extension security model (must be app sandboxed, must be approved by the user in system settings). Now it’s just a standalone command line binary that doesn’t require any special permissions since it proxies NFS to SFTP. Everything “just works” and performance is reasonable
I built a tool to generate a PDF for each row of a Google sheet. For example, you can generate 100 personalized PDFs (like certificates) for 100 students listed in a Google Sheet.
https://sheetstopdf.com/
Once you sign up and connect your Google sheet, it generates a template (using AI) based on your data, which you can edit in a Notion-like editor. You can then generate PDFs for your entire sheet or a for a range of rows.
Some use cases I'm seeing:
* Certificates for students or course completions
* Monthly invoices for all your clients (https://sheetstopdf.com/use-cases/business/invoices)
* Personalized reports with individual client data
* Event tickets or conference badges
* Contracts, offer letters, or any personalized documents
* Really anything where you have rows of data that need to become individual PDFs
Would love to hear what you think or if you have use cases I haven't thought of yet!
I recently started a local chess club, and did a quick search for software to use to allow us to manage the club, but couldn't find anything open-source/free.
I wanted something that would allow us to record members, games, etc., and also allow us to be assigned a local club rating. Anyway, after doing some searching and only finding paid software, I decided to just build something. That lead to https://openchessclub.org
You can check it out on GitHub: https://github.com/OpenChessClub/openchessclub.
I plan on building a QR code generator that allows club members to check-in during meetings, which will then allow players to be matched, and some other features, although it is primarily aimed at smaller chess clubs, so don't know how far it'll go.
I’ve been working on MemoryPlugin (https://www.memoryplugin.com), a tool that adds long term memory across AI tools
Lately I’ve worked on a chat history based memory feature that can recall information from every conversation you’ve ever had with ChatGPT and Claude. It’s been particularly useful and also technically fun to implement. Speed has been very important as I do just in time summarisation and a multi stage RAG pipeline, and most LLMs have unacceptable performance. I ended up going with GPT-OSS on Groq due to its ultra low latency often completing full generations before Gemini or ChatGPT APIs return even the first token.
The ability to recall details from conversations going back years makes tasks where I want personalised plans or feedback like 10x more useful, at times I get the AI to ingest tens of thousands of tokens of context to help me better.
The Board: A feature board that vibe-codes the top voted feature into itself every night: https://theboard.stavros.io
I’ve created a small command-line tool that generates a hash-based, human-readable list of git repositories and data folders. Its purpose is to capture the exact state of all projects and files in a single plain-text file.
I built it because I work across multiple machines and often worry about which projects are on which computer or whether I’ve left any files in unique locations. Now I can diff the summaries between devices to see what’s out of sync, which repositories have uncommitted changes, and which folders have been modified.
I avoid using cloud sync services, and most of my files are already in git anyway. I find that having clear visibility is enough, I just need to know what to commit, push, pull, or sync manually.
I would be glad if it proves useful to someone besides me.
https://github.com/senotrusov/fstate
I am working on https://embedhub.com
I am building better dev tools for firmware and PCB developers.
For example, we have GitHub Action workflows that allow you to push builds to the connected EmbedHub project. Your EmbedHub project has fine grained release management - so for example only the git tagged releases will be shared with the customer, but the testing/QA team will get access to builds from regular commits on branches as well.
I am also building a physical device (called HAL) similar to the now discontinued EtcherPro[1] - which will connect to your EmbedHub account and have access to your releases. This will let you offload tasks like long term testing, mass flashing and provisioning of devices, and more.
[1] - https://www.balena.io/etcher-pro
A new ping pong paddle design.
My backhand is OK but my forehand sucks. Grip styles for standard handles usually end up favoring one side or the other. I'm making a handle shape that's easier to get the blade angle right on both sides. Hopefully a couple more iterations on the 3D printer and then I can have a functional prototype made.
Building https://www.hessra.net/, an authorization system based on the Biscuit token format (decentralized, signed, and attenuable). The goal is to push beyond JWTs and Zanzibar-style policy engines by giving every machine-to-machine request its own embedded, verifiable authorization logic in a small capability token. These tokens can be delegated, restricted, and verified locally with no extra network calls required after getting the token.
Early use case is replacing API keys with identity tokens that expire, delegate, and prove possession and then can be used for easy step up to fine-grained authorization. There's some pretty interesting authorization stuff you can do, like having multiple parties sign off before a token is valid or requiring a series of micro-services sign a token for it to be valid.
I made an LLM-assisted DnD character sheet tracker! It's up here:
https://www.csheet.net/
And the repo is here:
https://github.com/igor47/csheet
If you play DnD, I would love feedback! Feel free to leave it as GitHub issues or discussion.
If you don't play DnD, you might still find the repo interesting. It's hono on bun, I render jsx server side and client side is all htmx. I use vercel's ai toolkit for the LLM interactions, which are super fun and work really well. I think this is a great use for AI actually. I've structured the code so the same services can be called either by the user via forms and routes, or via LLM tool use, so for every action in the code you can do it via either LLM or "manually".
I'm working on a (hopefully) better version of Spelltable to play Magic: The Gathering with my friends: https://cardcast.gg.
I think I got all of the important bits in place, now just working on improving the quality of life experience and bug hunting.
A multiplayer falling sand game - kinda like Noita, but faster paced and online & couch co-op - which happens to run on both desktop and in the browser (including online multiplayer, powered by webrtc data channels).
I have a lot of devlogs at https://www.slowrush.dev/news though at this point I am quite behind showing off the latest graphical improvements there.
Here is some more up-to-date gameplay footage: https://bsky.app/profile/slow-rush.bsky.social/post/3m523ft2...
https://kastanj.ch/
It is a recipe app but better, and way more technically capable than anything out there. The goal is to make the best recipe app ever made. With bulletproof easy to follow recipes and smart features to make cooking simple. Everyone deserves good food at home, but good food is complicated and time consuming. An experienced cook can make good food quickly, cheaply and make it look easy. The idea is that Kastanj will have the knowledge you don’t so you can cook like a pro without having to spend years learning everything.
Backstory: I have a note where I write down practical problems I experience in life. I noticed over time that the amount of notes related to food and cooking was growing faster than anything else. I then began searching for a solution. I tried over 50 recipe apps, always the premium version if possible. There are some good apps out there but even the best ones only solved something like 50% of my issues. After enough frustration and search I just decided to start working on my own app. That was 4 years ago... It turns out that solving some of these problems where technically complicated to do, so now I understand why no other app could solve my problems. None the less, after 4 years of work, starting over from scratch 5 times, I have now landed on a solution that technically solves all my problems.
Going forward: Now I am working on filling the app with data and make it easy to use for normal humans. I am on purpose limiting myself to only perfecting the core functionality of what a recipe should be. I intend to launch sometime in 2026. The UI will be small and limited at first, but it is perfect for my needs. Therefore I hope it will also be perfect for someone else. Over time I will enable more advanced functionality and build it out based on user feedback. I know the backend can support 100% of my needs, but I don’t want to make it bloated. Therefore the UI is on purpose focused on only the most important things and then we will build it out with time, together with the recipe creators and end users.
Live wallpaper for Android that shows your local weather radar (US only for now):
https://play.google.com/store/apps/details?id=app.radarlove....
Just launched last month.
I have been working on implementing iCalendar/RFC5545 in Emacs Lisp. I recently submitted a large patch and hope it will be merged in the next couple of months:
https://mail.gnu.org/archive/html/bug-gnu-emacs/2025-11/msg0...
This will add an iCalendar library to GNU Emacs, allowing packages in core and third-party packages to work with the format. More on the decisions I made and what I learned here:
https://recursewithless.net/emacs/index.html
I’m building an AI-powered fashion search engine that helps people find clothes that actually match their style, fit and price across 1000s of brands and millions of products
Most shoppers spend hours to find the rights product. We’re fixing that with intent-based search that understands descriptions, images and personal preferences.
We’ve hit 25K+ searches in 4 months, growing 50% MoM, and built our own scraping system that makes product data collection 100× cheaper than existing tools.
Still early, but live. Would love feedback on search quality and result relevance.
PS! There are some products out of stock, this is expected, fixing it right now.
https://justsayless.com/
I've been working on an open-source containerized agent framework called Capsule Agents. Its built around 3 key ideas I've dealt with inside the agent ecosystem
1. Agents become far more capable when they have access to a CLI and can create or reuse scripts, instead of relying solely on MCP.
2. Multi-agent setups are often overvalued as “expert personas” but they’re incredibly effective for managing context, A2A is the future.
3. Agents are useful for more than just writing code. They should be easy for non-engineers to create and capable of providing value in many domains beyond software development.
If that sounds interesting take a look! https://github.com/brycewcole/capsule-agents
My friends and I have been hacking on http://dateit.com for a while. It's an event planning app (works best on iOS and android, but there is a web app) with lots of fun features:
We started working on this all the way back during the Covid lockdown when we wanted to capture that "facebook events" experience without the facebook.It's grown into something much more than our original idea. Most of the features are free and we have a fair pricing model that doesn't nickel-and-dime you like many of the competing apps do. Would love your feedback!
I've been working on a factory sim game for some time now and I'm finally getting to a stage where I might be comfortable enough showing it off soon and maybe even try my luck with some sort of crowdfunding.
I'm building a Meetup.com alternative, of sorts - https://www.radius.to/
It's intended to be a sort of social network focused on IRL groups/communities and finding others with the same interests in the same area, and just building local communities in general.
It's currently still a part-time venture, but I'm planning a launch on HN soon to get input/gauge interest in the latest iteration. FWIW, I posted the initial version on HN just over a year ago and got a ton of amazing feedback, much of which I've incorporated over the last year - https://news.ycombinator.com/item?id=40717398
https://tryward.app
We’re building Ward, a security browser extension that uses Gemini Nano, an on-device LLM, to scan for phishing, scams, and other threats from the DOM.
Think of an antivirus for everyday web users, like young children, older adults, and less savvy individuals.
We recently participated in the Google Chrome Built-in AI Challenge 2025 and have submitted to the Chrome Web Store.
We’re looking to meet people who may know someone Ward is good for and would want to provide feedback. Alternatively, we’d love to chat with any IT Managers/Directors of Security/Google Apps Admins who would be interested in piloting us as an anti-phishing enterprise solution.
You can DM or hit me at fitzgeraldcedric(AT)gmail.com :)
I built a website (https://hpyhn.xyz) for hacker news users for reasons:
1. hn comments are valuable, I've spent a lot of time going through hn comments. I think there are valuable comments buried in the threads with fewer points, so it's not enough to just read top3 threads.
2. Sometimes a good post is ignored due to a bad title, sometimes I still have no idea what the post's theme even after I read a few paragraphs.
3. I want to filter out some posts I'm not interested in, but I realized I need read some other posts it's not a simple yes/no problem, so I gave every post a interesting score based on my own preference
so I want a tool to save my time while not missing out too much on hn
Working on a free alternative to Masterclass - compiled from YouTube clips!
Currently have two binge-able mini courses on How to Start a Startup (could be relevant to folks in here)
Here it is: https://opencademy.com/
Recently launched my free app for gardeners to share plants with each other, Plantshare.
Now I'm working on a few changes to the app, most notable is moving any plants marked as 'for sale' out from the main section because it turns out people are more greedy than I anticipated and it's getting in the way of sharing the free stuff, cuttings etc.
There's also some demand for a web front end so I might work on that next. (currently only android and ios)
I had an initial boom of downloads in South Africa but lately most new downloads are in USA.
https://ps-prod.bloodys.cc/links/getplantshare/
I buy and operate e-commerce brands that sell on Amazon, and I'm working on handing as much of the operation of the business off to AI as possible. Doing this both for actual time savings for myself and also as my big-picture eval of new AI models + products as they come out.
I also started a Substack to document it - here's a recent post on using Gemini to screen inbound emails with prospective acquisition targets via a Google Apps Script that evaluates the listings in those emails daily: https://theautomatedoperator.substack.com/p/screening-inboun....
The Daily Baffle, a site with all sorts of daily puzzles including one clued daily by NYT-published constructors.
Can check it out at https://dailybaffle.com
I'm still working on growing the audience. App coming soon!
Been working on https://usedigest.com
- It's a personalized newsletter for you
- All data aggregated from sources around the web
- News, weather, newsletters, social media posts, reddit, youtube, etc. all appear in your digest.
- Launching a mobile app as well now but this will be slightly different than the web app. It will use AI to automatically prepare your daily digest based on preferences/settings you give it during onboarding. Each day when you wake up you'll receive a notification of digest being ready, and it will contain all the content you care about for the day ahead (meetings, weather, health data, commute data, news, etc).
I still need to go back working on https://www.cinekids.info/ , a tool I made for myself to use before showing any movie to my 4 years old kiddo. It scrapes reviews from some parent friendly movie reviews websites and aggregates them.
I'm also automating more stuff around bookmarks management -> I used to manage an awesome list as a repository on GitHub for myself and over a couple of years there are relatively many stars on this repository. However I lost interest in maintaining this repo manually as I prefer to save my bookmarks on Shaarli. I'm coding a CLI tool to automate the work of syncing my shaarli links to my public "popular" (+500 stars) repo at https://github.com/SansGuidon/bookmarks
Myself and other users complain a lot about the "native" Plex -> Ombi watchlist integration being broken, I coded some sync tool to workaround the app malfunctions, by using Ombi, Plex and TMDB (The Movie Database) APIs and ensure Ombi is always up-to-date based on Plex watchlist. This works very well and allowed me to put a stop to the complains from my family members :-D
I'm also automating most of my email/linkedin interactions thanks to userscripts. And I keep automating more of the work I do around Cloudron, which is a very fun and stable platform to manage apps on VPS without the pains.
A webcam & microphone JS tester library that you can put in front of your WebRTC or MediaRecorder web app to diagnose any possible issues (the presence of getUserMedia, secure context, required devices, policies blocking device access, supported resolutions, etc.). It also primes your users’ OS/browser permissions before they get to the real app.
https://github.com/addpipe/webcam-tester
Live demo @ https://addpipe.com/webcam-tester/
Meta question:
Is there a cadence for these threads? I had in mind to "be prepared" to post in November's with what I'm working on, but I expected it to come around on the 15th (mid-month).
What I'm working on:
- skuilder - (skill builder) - https://github.com/patched-network/vue-skuilder - an AGPL framework / toolkit for SRS++ based interactive tutoring systems
- https://letterspractice.com - a low cost, hopefully high quality early literacy acquisition app, targeting ages 3-5.
- https://flutor.app - an app to learn the flute
(The proprietary apps are built with the toolkit).
I've struggled to pitch or articulate the vision here, but my latest pithy attempt is: scaling self-actualization by mechanizing the nested loops described by Anders Ericson's 'deliberate practice' - Inner loop: individual learners maximize their skill uptake velocity and performance peak by adhering to domain specific best practices - Outer loop: domain specific best practices get refined according to innovation or serendipitous discoveries from the inner loop (eg, someone is observed to beat out prior best practices)
As mentioned, I'm flat-foot posting here, so the pages aren't all prepped. https://flutor.app/dbg and https://letterspractice.com/dbg show some of the innards. Not linked, but I'm especially fond of https://letterspractice.com/dbg/juggling - the premise here that as child practices the letters, the letters exemplify the principles of effective practice in alliterative skill domains (juggling Js, batting Bs, flossing Fs (it's hard ok?))
https://homefree.host
All-in-one router/nas/firewall/adblock/app server (each piece optional)
Declarative and reproduceable as it is built off of NixOS, but administered through a UI, so the user doesn't have to know this.
All state managed in a backup bundle, so it can be hosted at home or in the cloud.
Goal is to have a box you plug just like a wifi access point into your modem, follow a simple web-based installation flow, then you are running a personal cloud.
Website is self-hosted by HomeFree, but installation instructions are very out of date, which I'm working on right now. There are now installation ISOs that I will soon add a link to.
Manabi Reader: Japanese learning through reading
https://reader.manabi.io
I recently added FSRS (besides also having Anki integration). Now I'm working on replacing the need for reviewing flashcards by having reading activity automatically mark flashcards (current and future) as reviewed, so that you can get many of your reviews in just by reading native materials that interest you instead of sacrificing most of your study time to contextless flashcard grind.
I'm also working on a manga mode using a new manga OCR tech I have licensed out of academia that is ahead of state of the art alternatives.
This project now sustains my full-time focus.
After one of my cyber security research caught some attention in media, am now working on -
Open Source Vacuum Robot firmware
https://github.com/codetiger/VacuumTiger
Building https://github.com/openrundev/openrun, a platform for declarative deployment of web apps.
OpenRun runs as a web server, which does GitOps driven app deployments. You can currently deploy apps on a standalone machine, on top of Docker/Podman. Working on adding support for deploying on top of Kubernetes. On Kubernetes, OpenRun will replace your build jobs (Jenkins/Actions etc), CD (ArgoCD etc) and IDP (Backstage etc). The same declarative config which works on a standalone machine will work on Kubernetes, with no YAML to maintain.
A visual editor for creating video games on the browser and on Linux desktop: https://stickyfingies.github.io/g2ngine
I've done this with C++ in the past, but ran into substantial friction with the CMake toolchain, specifically w.r.t:
- cross-platform compilation with large dependencies (vcpkg ports)
- running multiple compiler chains in the same build step
That second point is necessary if, for example, there's some AOT asset processing work that uses a native tool, and you're building for web. Expressing that some targets should use the emscripten toolchain while others should use the native toolchain, and interleaving between them, was a mess. TBF, I haven't done that with cargo or build.rs yet and it may prove to be equally frustrating.
Other features:
- undo/redo using a stack of swappable states
- serialization to disk (native) and LocalStorage (web) with some integration tests in progress but I am not satisfied with the correctness of my implementation: I want to *guarantee* that all information is preserved round-trip, but I also want a Patek watch.
- OBJ, GLTF, GLB models are loaded as "blueprint scenes" which are distinct from the "world scene." I made this distinction at the type-level because "scenes" are groups of entities that use newtype IDs (`LightId(u64)`, `MeshId(u64)` etc.) as primary and foreign keys to refer to each other, and I wanted to make it impossible for an entity in scene A to hold an ID for an entity in scene B. Instantiating a blueprint requires creating new IDs for every object.
- W.I.P. Alpha rendering, depth sorting, overhauling the material system to support multiple shaders (tough) that may be compiled after the engine itself (even tougher, a lot of runtime dynamic state and schema validation stuff), physics, scripting - oh yeah!
- Scripting using JS on both web (runs in browser itself) and desktop (uses a packaged JS runtime `Boa`) but Boa doesn't perform well on desktop in debug mode so I'm exploring other options.
I'm getting back in to audio programming, starting off with Pd[1] and reading Miller Puckette's book[2]. I'm planning on writing some low-level C libraries afterwards, using The Audio Programming Book[3] as a guide
[1] https://puredata.info
[2] https://msp.ucsd.edu/techniques.htm
[3] https://mitpress.mit.edu/9780262014465/the-audio-programming...
Working on therapy software, for porn addiction.
https://zenstreak.app/
I'm building a tool for managing Google Ads campaing called Rudys.AI:
- Search campaigns: - automatically crawl website, find the offerings and generate new campaigns - Provide qualitative recommendations such as, relevant terms to include/exclude, e.g. including typos as keywords, improvements on landing page
- Shopping campaign: - Smart labeling of all products to allocate the budget among Top performers, Rising and Ghost products to avoid draining the budget. E.g. instead of a campaign with 10k products with one budget , turn it into 5 campaigns with different budgets doubling down on what works.
Feel free to reach out for a demo
I built Arty: https://github.com/vibemachine-labs/arty
It's an open-source iOS voice agent that uses the OpenAI Realtime API (bring your own key).
Current connectors: Hacker News (check demo in readme!), Google Drive, GitHub, and web search.
I got frustrated with the limitations of the OpenAI Realtime Voice iOS app—for example, it can't even connect to Google Drive.
Arty is self-contained except for the OpenAI model and any third-party services you connect to. Uses local tools—no MCP support yet.
If you'd like additional connectors, feel free to open an issue.
I've been building with local AI, on Apple Silicon. It's only 8mb, but runs 30% faster than Ollama.
https://github.com/dinoki-ai/osaurus
I've working on an AI Thumbnail Generator for making YouTube thumbnails and social media images the last few months. https://thumbnail.ai/
Built a web interface for Magic: the Gathering draft pick advice, trained on top player data.
Website: https://statisticaldrafting.com
Turns out to be a small niche, but I enjoy it!
Updating partijgedrag, which is a voting compass based on how parties vote on motions in the Netherlands!
Apart from that I have a personal SaaS idea I want to release soon. Its something that started as a joke but the joke is still not finished
Building an MCP Gateway: https://www.gatana.ai/
Idea came from one of my clients, where they wanted to use AI agents throughout the organization but at that moment there was no centralized governance or security concepts. This pulls everything at one place and tries to solve the security concept with per-user credentials, which can be provided out-of-band through the MCP protocol (generated a one-time link end-user can use to sign in to the underlying MCP server with OAuth or provide API key)
I'm still working on WithAudio (https://desktop.with.audio). A one time payment Text To Speech Desktop App. Because I think everything doesn't have to be a subscription.
In October I finished the PDF parser. It was a big challenge extracting PDF contect with correct paragraph breaks on user's computer locally. I'm gonna write about this soon.
Now I'm working on a web extension that talks to the app that run locally on your system so you can use WithAudio in your browser with very good performance, 100% local and private.
I’m working on a Chrome extension called Console Dock, which adds a floating dev console window directly inside the page. I built it as a fun side project because I often work on smaller screens and hate constantly switching or resizing panels. Still very experimental, but it’s already proving useful for quick debugging sessions.
https://chromewebstore.google.com/detail/console-dock/biplbp...
Working with a group of friends on a "microcontroller-for-makers" kind of thing called the MakerPort. (https://makerport.fun) Sort of similar to an Arduino or micro:bit, but uses the MicroBlocks programming editor (https://microblocks.fun) created by John Maloney, who was the original team leader for Scratch at MIT for 11 years. The hardware includes an mp3 player, I2C ports, accelerometer and true capacitive touch sensors.
I’ve been working on http://www.13radar.com for the past 4 months, and we launched about two weeks ago. The platform tracks hedge fund portfolios in real-time based on SEC 13F filings.
I’m responsible for product research, analysis, design, development, and promotion. Most of the workflow was powered by AI tools — more than 60% of the research, design, and coding involved AI assistance. Initially we used Bootstrap for responsive design, but later switched to a lighter TailwindCSS framework.
Right now traffic is very low (just a few dozen users per day), and I’m trying to figure out whether that’s a product issue or simply a lack of promotion. Honestly, it’s a bit discouraging, but I’m hoping to learn from feedback and iterate.
Curious if anyone here has experience growing early-stage products with niche financial data — how did you approach the balance between product refinement and marketing?
I finally started modding a total war game (Warhammer 3). I played the series since the very first title, Shogun and I always wanted to improve the control over units and add my custom AI to not micromanage everything, but assumed it would be too time consuming and distracting from my main work. And well, it likely would have been.
But thanks to LLMs, I finally decided to give it a go and got something basic working in a short time, hurrey for AI assisted coding!
Feels empowering to be honest. No idea if I will really implement the main ideas, that I have since a long time, but I know that I can now if I want to.
Working on a CLI tool called xpire which can add expiry dates to filesystem structures: https://github.com/benibr/xpire Idea is to use filesystem specific structures (eg. snapshots) if possible to prevent long treewalks for searching and store the dates in the filesystem itself not a seperate database. It's written in go and currently supports btrfs snapshots and zfs datasets.
I wanted to give anyone the magic power to make himself an FPS game of their place (appart, museum,ect...). Still not perfect but it's light and my 3D editor is simple enough for anyone. - No coding. - And no need for Unity or Unreal.
==> Here is a photo of the Editor : https://ibb.co/FC9Hzj2
==> website with an example of a FPS visit https://free-visit.net
Please be honest, tell me why I don't have traction.
Built an in-browser AI managed spreadsheet. https://banker.so/
Too many things I wanted to analyse went to nothing because I was too lazy to fetch information and the put it inside a spreadsheet cell by cell. So I developed this to help me extract docs into spreadsheets while also having access to the web.
Now working on a vibe-coded version of it where instead of showing a spreadsheet, it will be able to generate data-focused tiles and apps
I was working on a iPad-focused Dungeons & Dragons app focused on the Dungeon Master called Campaign Codex but I got a little bored with building CRUD apps.
Decided to pivot and start learning about databases and their internals more. Currently pulling down Clickhouse and reading some code along with the reading the book Database Internals by Alex Petrov.
So I'm technically not "working on" an app...I am working on myself to branch out and attempt to specialize a bit more as I progress in my career.
Any advice/papers/books to read is very welcomed!
https://github.com/dmjio/miso-lynx
Building native applications for iOS, Android and Huawei devices in Haskell.
Working on a phone app that streamlines household management for unmotivated losers (like me) so that they stop wasting money (wasted food) and time (procrastination)
Working on an app that helps me (and other people) do household management on autopilot. It helps me manage things, food, expiration dates, shopping, chores, and I get notified periodically to review my lists. I waste way less food and I actually do my chores instead of procrastinating. https://okthings.app
Learning that RCS is even more of a monstrosity and a lie than I thought a few years ago. Yikes. Lots of groundwork a decade ago setting the stage for "the carrier creates a common service anyone can interact with" (like sms/mms currently do, which would be great) but in practice it's pretty much 100% "only the carrier app or Google/Samsung messages has access to literally any of it".
Yeah I'm not gonna touch it and I'm going to actively encourage people to disable it. Use signal instead.
Working on a low cost, miniature Bluetooth tracker. The inspiration was my parents keep losing (forget) their spectacles in the house. I wanted to build something that is very easy and simple to use and it was important to keep it small. SO the form factor is something like an airtag but 10x smaller which can be just stuck on to the spectacles and forget that it exists. Next step, obviously is to build a simple app that shows the location of this tracker with a range based on the Bluetooth signal strength.
https://aykev.dev/webgpu-waveform/
https://github.com/mrkev/webgpu-waveform
Made some updates to this open-source library I wrote to render audio waveforms using the GPU on the browser (WebGPU).
Example on the site. Works without enabling flags on Chromium browsers. There's an example to scrub and zoom in real time on some audio. Feedback welcome!
For fun have been creating a mashup of old school DnD map generation using Commodore "10 Print Chr$(205.5+Rnd(1)); : Goto 10" style logic (in TS/Svelte/SVG):
https://imgur.com/a/qMeEoPK
Have been down a rabbit hole ensuring the stairs are realistic and that grid connects properly. Lots of fun and frustration with AI coding tools trying to solve that (they mostly don't/can't). Some fun detours learning a little Prolog to help out as well.
I'm building a coding agent, named VT Code [0]. VT Code is a Rust-based terminal coding agent with semantic code intelligence via Tree-sitter. Supports multiple LLM providers with automatic failover and efficient context management. Support OpenAI, Anthropic, Google Gemini, xAI, DeepSeek, OpenRouter, Z.AI, Moonshot AI, MiniMax, and Ollama (local & Cloud). Agent Client Protocol and Model Context Protocol fully support. VT Code supports a rich set of configuration options, with preferences stored in vtcode.toml. Has both Visual Studio Code and Open VSX extensions so that you can install in VS Code or Cursor, Windsurf, Eclipse.
I've been building it for several months now and enjoy the learning process, I also wrote a blog post and learnt a ton about terminal, ANSI processing. The learning has been immense for me, I now have working knowledge of ANSI escape codes, grapheme clusters, terminal emulators, Unicode normalization, VT protocols, PTY sessions, and filesystem operations, all the low-level details I would have never think about until I were implementing them. [1]
[0] https://github.com/vinhnx/vtcode [0.1] https://deepwiki.com/vinhnx/vtcode [1] https://buymeacoffee.com/vinhnx/vt-code
Highlighting the nftables rules. For Vim/NeoVim editor, using your own color scheme and background.
Like grouping statements together within a rule with heavier emphasis on keywords that starts each of its statement.
Even has the easiest Vim installer, `make install`/`make uninstall`; none of that funky Vundle, or other relatively unknown Vim packagers.
Has over 2,500 semantic nodes, 15,000 syntax match statements, and under 5ms rendering.
This is a purely deterministic LL(1) full semantic parser.
https://github.com/egberts/vim-syntax-nftables
Skip the release (I cannot delete it), go full repo clone.
Is it ready? Yes, almost entirely, unless you are a firewall expert using few remaining nftables-supporting but esoteric features like ‘synproxy’. Gotta master that first before I can highlight it properly.
Finally started getting back into game programming and have been working with Lua and Love2D - been trying my best not to get bogged down in the weeds (eg how do I animate a 3d cube on a 2d plane?) and I’m focusing on learning how to actually work with the Love system and organize my code. I’m getting a crash course in jj as an added bonus!
Building an ai powered threats deception proxy.
It's a honeypot system that uses AI to mess with attackers. When someone tries to hack your app, it detects them and serves up fake responses based on attack type.
The system learns from attackers behavior and creates convincing decoys to waste their time and frustrate their efforts. It's basically a trap that gets smarter the more attackers poke at it.
https://github.com/0tSystemsPublicRepos/IfritProxy
Tired of having my notes spread everywhere, on uncomfortable software, I'm writing my own Notational Velocity desktop app clone in Godot:
https://share.combo.cc/-Z7hBzNbaCc
(work in progress prototype, design is not final)
Intentionally made simple and centered around plain text files and editing speed. I've spent a week on the prototype, now it's good enough to dog-food. Would like to eventually distribute it as a multi-platform app.
I’m working on a MUD server. I want text-based adventures.
Also... would it be crazy if services and social media were text-based applications too?
Not necessarily through telnet, but with some kind of standard so that instead of the web/browser, we use a CLI(s).
I dunno, maybe I’m just bored.
I've been really frustrated with the state of networking and discovering new career opportunities lately. Both in person and online I feel like there aren't very good tools and I have a growing disdain for LinkedIn. I wanted to make a tool that helps ambitious navigate their career goals and meet people who are going to move the needle. It's called Catalyst: https://getcatalyst.tech/
I have been working on https://easymiet.eu/ It is specific to the German rental market. Basically if you want to rent an appartment in Germany most landlords require you to fill out a non-standardized self-disclosure form. That can be annoying to the landlord because especially in larger cities you might have a couple of hundret applicants and it is also annoying to the possible renter since they have to fill out the same information for every apartment they apply for. This is where easymiet comes in. As a landlord you can generate a viewing, shared it through QR or a link. Interested renters can apply using their profile. It also has a application approve and dismissal workflow automatically sending emails to the applicant. My plan was to monitize it selling applicants the ability to add more info to their profile like a picture or relevant documents. However so far I haven't been able to generate much interest. The tech stack is Next JS with BetterAuth, Drizzle and Postgres. It is hosted on a Hetzner VPS using Kamal ( wrote a blogpost about that if you are interested: https://markow.dev/blog/complex-next-js-app-kamal )
Bread and butter stuff. Pulling together all of the assorted algorithms and data structures I implemented in C over the years out of necessity - lists, trees, stacks, queues, hash tables, memory pools, etc. - aligning the APIs, cleaning up and merging into a library. It's a background project but super fun. This and several parsers - JSON, some config file formats, and parsers for some GPS / GNSS receiver data protocols. FSMs also always feel like nice, clean fun. And prematurely optimising every bit.
I’m building Sink It for Reddit (https://gosinkit.com), a browser extension to make Reddit usable on the web. It’s similar to RES with broader support for all the different Reddit UIs (there are 4).
It’s mostly free with only old Reddit features gated behind a one time $5 fee. The app has a few hundred thousand users on the Apple platforms but recently it was invited to join Mozilla’s Recommended Extensions program so I’m hoping to grow the non-Apple user base.
Creativity and game development clubs for kids:
https://breaka.club/blog/why-were-building-clubs-for-kids
Basically, I'm building tooling and providing these to community run clubs that help turn kids from consumers into creators. I'm focusing on game development initially, but have plans to expand into other areas of creativity.
We're using Godot + GodotJS (which I'm a maintainer of): https://breaka.club/blog/godots-most-powerful-scripting-lang...
I've much experience building software for creators. I'm a (core) developer of Tabletop Simulator. I worked at a now defunct startup which allowed people to create and distribute their own interactive fiction stories using partner third-party IPs.
I have a background in EdTech. I used to be Head of Engineering at Ender, where we ran custom Minecraft servers for kids: https://joinender.com/ and prior to that I was Head of Engineering at Prequel / Beta Camp, where we ran courses that helped teenagers learn about entrepreneurship: https://www.beta.camp/. During peak COVID I also ran a social emotion development book subscription service with my wife, a primary school teacher.
Sewing my own clothing.
But of course the programmer in me needs to make my own software to design patterns with code. Enjoying using paper.js to do all the complicated math to calculate lengths and angles.
Month three working on my game development resources website: https://raizensoft.com/tutorials/
I write almost daily article about libGDX - my most favorite code-centric game framework. There are now over 100 articles covering topics from basics to advances. I plan to post more because this is more or less a passionate project.
In the future I hope it evolves into a definitive resource for learning game development with Java and libGDX.
A tool for “grep”ing MIPS binaries[0] to find duplicate code (functions, segments, sections) primarily to aid in decompiling.
It does some neat things to match instructions while avoiding location dependent references, then creates a hash that can be used to used to search binaries in linear (or faster!) time.
Still a WIP, but being used on at least one decomp project.
0 - https://github.com/ttkb-oss/mipsmatch
Ugh. It's time for me to start transitioning my iOS/Watch/Mac programs to be "Liquid Glass-native."
I should be able to do it with my various personal apps, but one app I've written, was done in concert with a professional graphic designer, and he is not happy with LG, so I expect that app to be a pain.
These are my apps: https://littlegreenviper.com/AppDocs/
I'm working on https://www.evcourse.com/ (I work in the EV industry)
Built min., it's like Airtable on top of an email client. Add any column you want, extract structured data from emails automatically, so you can sort, group, emails for your team.
First use case is hello@ email addresses for fellow founders. Free for founders!
https://getmin.ai
We are building end-to-end accessibility compliance tool[1] that will take care of auditing, remediation, verification and generation of ACR/VPAT.
Because of the well bound nature of the problem space, we are able to unlock a lot of power from LLMs and put together a good end-to-end product that delivers the promise.
Still early days. I know there are lot of folks who care about a11y. I would love to chat and learn from your experience.
[1] https://workback.ai/
My friend and I working on PennyPost, financial analyst that solely focuses on your spending.
It looks at your spending across all your accounts, categorizes, identifies patterns, trends, runs predictions and sends weekly/monthly summary email.
No apps or dashboards, just insight.
Plug in once and forget. Takes 5 minutes to keep track of your spending.
We are still at early stages but you can check it out here
https://pennypost-landing.vercel.app/
Appreciate any feedback you might have!
I am finally making my own blog. I have been only planning for ages. I found that I had a lot to say for the past years working on AI, and I want to record them somewhere. I do not expect a lot of visitors or at all in fact. The blog is going to be just for me to remember stuffs and to keep track of them.
I am using hugo to build suckless static pages. LLM helped me so that I don't need to read all their docs. I haven't finished it yet nor posted a single blog. But there will be one soon.
I’ve been reverse-engineering an obscure childhood game called Entomorph:
https://github.com/entomorph/reverse-engineering
I started the project when ChatGPT 4 was first released, using it as a way to explore what LLMs could actually do. I also find working on it very relaxing, there is something cool about uncovering secrets hidden in code for more than twenty years.
I'm thinking a lot about the ARC-AGI ML benchmarks, especially the "shape" of the dataset and what that says about how it should be solved. I think there's good reasons to believe that deep learning - at least differentiable SGD backprop style - is a bad fit for this specific benchmark, due to the tasks being almost entirely discrete symmetries, and also having so little data to approximate the discrete symmetries with continuous ones (considering deep learning to be the learning of continuous symmetries). I think that a more explicit and discrete approach is the way to go, and it's possible to build something surprisingly general and not heuristic-based even without gradient descent, guided by minimum description length to search for both grid representations and solver functions. I'm looking for teammates for ARC-3 so hit me up if this sounds interesting, I'd love to chat!
I made a viewer on my website to build intuition for my preferred perception algorithm which is entropy filtering + correlation. Pretty neat to check out the heatmaps for random tasks, there is a lot of information inherent in the heatmap about the structure of the task: https://synapsomorphy.com/arc/
I’m working on a performance capture library for Python because I often need to know the performance of backend systems I maintain. I frequently build tooling to capture performance and save it for later analysis. I/O operations get costly when writing lots of data to disk and creating good real-time analytics tools takes a lot of my time. I wanted a library that captures real-time performance analytics from Python backends.
https://github.com/jakeroggenbuck/kronicler
This is why I wrote kronicler to record performance metrics while being fast and simple to implement. I built my own columnar database in Rust to capture and analyze these logs.
To capture logs, `import kronicler` and add `@kronicler.capture` as a decorator to functions in Python. It will then start saving performance metrics to the custom database on disk. You can also use the middleware for FastAPI.
You can then view these performance metrics by adding a route to your server called `/logs` where you return `DB.logs()`. You can paste your hosted URL into the settings of usekronicler.com (the online dashboard) and view your data with a couple charts. View the readme or the website for more details for how to do this.
I'm still working on features like concurrency and other overall improvements. I've added a lot since the last time I shared on HN. I would love some feedback to help shape this product into something useful for you all.
Thanks! - Jake
I wanted to see if I could use generative AI to build a whole business. Not just a digital product or an app — but the entire business from end to end:
(Spoiler: I did manage it and launched in just 75 days from start to first order)
- Three tier corporate structure with manager-managed LLCs and a private WY LLC as manager, complete with a knowledgebase-powered assistant that can write share registries, banking resolutions, meeting minutes, contribution contracts, loans and more
- Supply chain management with proprietary lot tracking that tracks PO line items from production to delivery
- Generated the base for all product images, helped write and research label design and text, wrote SEO titles and product descriptions
- Used Claude Code to build the entire Shopify theme for the site, all collections, product pages, legal pages and a COA database to boot
- Used Claude Code to build a custom Shopify app to integrate lot tracking into the shop so that when lots sell out the next lot is queued for sale and all lot-related metadata is synced to the product variant and displayed on the product page
- used Claude Code to build a super analytics platform that combines the data from GA4, Shopify orders, and Meta business suite into a single feature store where I can wrangle the data to ask/answer any question I can dream of about audience segments, product popularity, what’s working or not, and get insights on what to do next
If you care to check it out, the site is https://cosmicpeptides.com
Currently building a suite of media inspection and encoding tools for video engineers: https://video-commander.com.
Still very much a work in progress, but expecting to release a first version by end of year. Built on Tauri, in case anyone is curious.
I've created various open-source and commercial tools in the multimedia space over the last 10+ years and wanted to put it all together into something more premium.
I'm working on Habitat. It's a free and open source, self-hosted platform for communities to discover and discuss their local area. The plan is for it to be federated. I've recently solved an issue with cron jobs that was driving me mad for ages. I feel that I'm pretty much nearing a first tagged release, but I feel that I need to work on branding and messaging a bit before I do. I can't tell if I'm procrastinating that final push to something that makes it more official or not.
- The idea: https://carlnewton.github.io/posts/location-based-social-net...
- A build update and plan: https://carlnewton.github.io/posts/building-habitat/
- The repository: https://github.com/carlnewton/habitat
- The project board: https://github.com/users/carlnewton/projects/2
I am working on a SQL query engine for multi-dimensional and hierarchical analysis compatible with Apache Spark, ClickHouse, BigQuery, Snowflake, PostgreSQL and DuckDB. GitHub https://github.com/squashql/squashql Website https://www.squashql.io/
I'm working on a book about using WebViews for cross-platform music software GUIs. It has a particular focus on performance, which I gave a talk about at the Audio Developer Conference last year:
https://www.arthurcarabott.com/adc-2024/
As part of it I am building a code generator to generate shared type definitions in C++ and TypeScript (plus serialization, comparison and cloning).
Assets — Personal Wealth Tracker https://github.com/venil7/assets A self-hosted net worth and portfolio manager. Track multiple portfolios (ISA, General, Pension, Crypto, etc.) and monitor individual or total performance. Supports any asset available via the Yahoo Finance API, automatically converts to your base major currency.
I'm building a Twitch streamer focused version of cameo. The first beta version is specifically for League of Legend streamers.
https://demo.replays.lol/clipper (recording the demo video today).
The idea is that a generic video message doesn't appeal to a fan of a video game streamer, instead what really would be cool would be watching them react to your best moment in a game.
Our software removes all friction from the journey, the fan doesn't even need to record their own gameplay, we have bots set up that can load up someone else's gameplay just from their username, record their highlight for them, upload it to our platform, then the streamer just needs to come in, watch a ~60 sec clip, give a genuine reaction, press 'submit' and its all done.
There's a few markets I'm trying to find product market fit in: ~1-2 minute coaching sessions, sports commentator style commentary over your clip from influencers, hyped up reactions from your favorite streamer, a community-focused segment on a stream of watching a compilation of your fan's best moments.
We're ready to launch, just trying and struggling to find the first few people to sign up.
I'm currently in a group project for my edtech entrepreneurship course where we've launched a start-up website off of lovable, which provides an ai chatbot that helps check CVs and run mock interviews for finance and consulting students looking for internships: https://next-step-craft.lovable.app . Test it out now!
Working on https://libredesk.io/
It's a modern, open source, self-hosted customer support desk.
https://voicesinmyhead.co/ - AI-powered voice dictation. 5x faster than typing.
I’m working on a platform to run a friendly competition in “who builds the best reasoning AI Agent”.
Each participating team (got 300 signups so far) will get a set of text tasks and a set of simulated APIs to solve them.
For instance the task (a typical chatbot task) could say something like: “Schedule 30m knowledge exchange next week between the most experienced Python expert in the company and 3-5 people that are most interested in learning it “
AI agent will have to solve through this by using a set of simulated APIs and playing a bit of calendar Tetris (in this case - Calendar API, Email API, SkillWill API).
Since API instances are simulated and isolated (per team per task), it becomes fairly easy to automatically check correctness of each solution and rank different agents in a global leaderboard.
Code of agents stays external, but participants fill and submit brief questionnaires about their architectures.
By benchmarking different agentic implementations on the same tasks - we get to see patterns in performance, accuracy and costs of various architectures.
Codebase of the platform is written mostly in golang (to support thousands of concurrent simulations). I’m using coding agents (Claude Code and Codex) for exploration and easy coding tasks, but the core has still to be handcrafted.
Currently working on building my first 3D printed star tracking rig for astrophotography (via the incredible OpenAstroTracker project) and beginning to think through a 3D printed Dobsonian telescope. Also working on some ceramic glazing techniques to try and make cool gas giant-looking tiles. I'm on a real space kick right now!
A structural biology viewer/editor/CAD-style application. Combines functionality similar to PyMol, Coot, VMD, and GROMACs. Open-source, standalone executable. Built in Rust and CUDA.
And the host of bio libs required to do it. The sort of thing that are mature in Python, for example, but I needed to build for Rust.
https://www.athanorlab.com/daedalus
I’m currently creating a simple community where people can honestly share their emotions and empathize with others’ feelings (without comments). It’s a web community where users can receive a comforting message from AI based on emotion analysis of their text, emojis, and chosen colors.
If you have any ideas or comments for improvement, feel free to reply anytime! (For reference, this service is designed for Korean users — I’m Korean myself.)
We are working on desplega.ai, and we are toying with this long term vision https://www.pleasedontdeploy.com/p/the-trap-we-automated-cod...
I would love feedback on the post, how do you see the tech stack for software control evolving into this new category.
https://inSolitaire.com
I've spent several years since Covid times solo-developing an ad-free website with 50+ solitaire/puzzle games.
I've gathered some feedback from users from HN already and now trying to fix things.
I'm looking to genuinely improve the experience so would be incredibly grateful for any feedback. I'm also wondering what it lacks – any particular games or modes?
A game-agnostic social/legal/financial overlay for virtual worlds. Minecraft, Rust, Roblox, etc.: legal ownership claims (vs possession), titles (recognized by other players or not), laws, player-issued currencies. Smart contracts but with as little blockchain stuff as possible.
The iron rule is no direct interaction with the world. These are things that players can in theory always start on their own as long as they can communicate.
Local only meeting transcription and summarisation for MacOS.
https://localscribe.app/
Loads of similar products out there, but non that did all of: open source code with attested releases, recorded mic and system audio to work with any meeting app and used Apple Intelligence for private summarisation. In beta, and also just released a experimental version with self hosted Ollama support.
Working on a little project to make Spotify recommendations better.
You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.
https://riffradar.org/
I've been writing https://urbanismnow.com weekly for a year. The idea is to bring you the best ideas from around the world to inspire action where you (c)are.
It's been going well for a side project and now I'm thinking of expanding to have a directory of urbanists on a map so you can easily find people involved in the local discourse and how to get involved.
An AI relationship coach built on integrative therapy principles: https://reynote.com
I'm working on an TTRPG Toolset for managing universes
https://www.rpguni.com
It's still early in development, but it has a large number of features that I've always wanted. A dynamic entity system so users can create their own entities with their own traits. Random tables. A madlibs still generator. All of these things work together, too. You can have tables that randomly pick other tables values, or you can reference your own custom entities. And all this can be tied to maps or a calendar. Again, all something users can create. And of course, all of this can be shared out so you can have a published gazetteer and encyclopedia of your world that is easy to manage.
Mostly done because existing systems were too clunky, and wikis don't offer the same level of control and reuse. For example, you can reference entities parameters in other entities allowing you to embed data in multiple places and have it have a single source of truth.
Sharecare | Backend Engineer (Contract) | Remote – South America, Mexico, India, Canada | sharecare.com
We're hiring a Backend Engineer to join our high-performing team. This is a remote contract position open to candidates in South America, Mexico, India, and Canada.
--------------
What we offer:
-------------
* Competitive salary based on location
* Startup culture with strictly no BS meetings
* Work alongside top-notch engineers
----------------------
Who we’re looking for:
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* Expert in Clojure and functional programming
* Familiarity with GCP and Kubernetes infrastructure is a plus
* Strong knowledge of relational databases like PostgreSQL
* Experience with graph data structures and graph traversal
* Comfortable with Docker and build systems
* Prior experience at startups is a plus
* We don't hire task rabbits — we value ownership, initiative, and problem-solving
* Ability to convert business requirements into scalable solutions
* Ability to think from the customer's perspective — not just "code to spec"
* If you are a self-starter who loves building real-world systems with a clean functional approach, we’d love to hear from you.
------
email me: prashanth.iyer at sharecare dot com
We've been tinkering with building realtime talking head models (avatar models, etc.) for a while now, and finally have something that works (well enough)! Operates at ~2x realtime on a 4090, significantly faster than that on enterprise grade GPUs.
You can try it yourself at https://playground.keyframelabs.com/playground/persona-1 and there's a (semi)technical blog post at https://www.keyframelabs.com/blog/persona-1
The main use case we designed for was language learning, particularly having a conversational partner -- generally we've found that adding a face to the voice really helps trigger the fight or flight response, which we've found to be the hardest part of speaking a new language with confidence.
But in building out the system around the model to enable that use case (tool use on a canvas for speaking prompts and images, memory to make conversations less stale, etc.), we think there's potential for other use cases too.
Building Valori, a Python-native vector database. It’s basically Lego blocks for embeddings: storage, indexing, quantization — all modular, all hackable. The goal? Let anyone plug in their own models and search pipelines without touching C++.
PYPI: https://pypi.org/project/valori/
How big of a threat is AI to your career? Upload your CV and it will be analyzed. You'll also get steps on how to reduce this risk.
https://www.isairisk.com/
Still working on this and some things will definitely change, but IMO the system prompt is already solid, so that the response isn't unnecessarily scary on one hand, but not too general on the other
A database populated with audio metadata (including a link back to YouTube or Spotify or whatever) that includes vector embeddings for the audio. That way I can grab clips of music I like from YouTube, generate vectors for them, then find similar things in the database.
It's off to a rocky start though, as I've initially populated it with YouTube-8M and AudioSet, neither of which are music-specific. The search results can be... Weird.
New (open source) PostgreSQL index type for analytics workloads, which is a read-only drop-in replacement for B-trees. Smol is multiplicatively faster than B-Trees and radically smaller.
https://github.com/asah/smol
Help, alpha testers, etc all welcome. Sorry RDS/Aurora users: smol is for embedded and self-hosted pg instances only for the foreseeable future.
Currently working on training language models steered towards certain "states of consciousness".
I have a model trained on publics datasets tied to brainwaves and/eye tracking and text comprehension (have this working well enough to experiment). Now I am training an adapter for various llm architectures to generate text steered to certain neural oscillation patterns (let's call them "states of consciousness" for brevity). I also have a 'rephraser' that rephrases text to elicit these certain states of consciousness. Overall experimenting with creating an suite of tools off my findings with how text relates to the eigenmodes of consciousness. My theory is once I do this I'll be able to do some...interesting things with "AI" agents. lmk if you want to talk about it if you're someone with knowledge in neuroscience/ML. My background is as a Software/ML Engineer so I could use additional thoughts. I do wish I could send a Github/docs which I will soon but this is currently a private project seeking investment for various research/public/private sector applications.
Unwound a couple of things from the stack!
Finished: the 100%-vibe-coded "GPT-5 reviews all my PRs on max reasoning" GitHub app (which is shockingly effective, https://github.com/Smaug123/robocop - probably nothing new for people who already use some product like this, but I like owning my own infrastructure as far as possible, and GPT-5 and perhaps Gemini are the only models smart enough to do this so I can't take this any further).
Currently: back on "write an immediate-mode TUI framework that uses a vdom as its fundamental abstraction" (https://github.com/Smaug123/WoofWare.Zoomies), in the hope that this is the first UI framework that I don't absolutely loathe.
Next: using the TUI framework, write a debugger to inspect the internal state of my deterministic .NET runtime (https://github.com/Smaug123/WoofWare.PawPrint) and to step forward and backward in time.
Next: get the deterministic .NET runtime to a point where a property-based testing framework can identify the deadlock in some very simple buggy multithreaded code. (The framework is not yet able to run Hello World - did you know that's an incredibly complicated program in .NET? - but it can solve a few Advent of Code problems right now, can perform some limited exception handling, limited virtual method dispatch, limited casting between types. Even getting to Hello World might take a year if I'm unlucky.)
Made a game: https://fourmula.awsum.info
I think it's too difficult in its current form.
A gamified bird sound ID app. Been working on it since May of 2024. While the core functionality of “catching” birds has been live for awhile, I’ve been working on a learning module built into the app. I’m experimenting with ways to teach new birders / nature curious people how to “tune” into different bird sounds. As a birder one of my favorite things to hone has been trying to differentiate songs and calls in the field and I want to capture that experience in the app.
Wings & Whistles: https://www.wingsandwhistles.app/
Love any and all feedback!
hosting a month-long residency for indie hackers in Da Nang, Vietnam!
we invited 10 of the best indie devs from around the world to live & build alongside us for a month at a beautiful villa. for free. (we have sponsors like OpenRouter, Cognition, n8n, and CodeRabbit!)
https://x.com/HackerResidency
we're 10 days into our first batch – would love feedback :)
I'm working on https://yap.town - an SRS based language learning app.
I would say it combines the best parts of Duolingo and Anki. Anki is great for memorizing words, but you don't see the words in the context of novel sentences. Duolingo is great for exposure to new sentences, but it's oriented around "lessons" and SRS is an afterthought. (Duolingo is also not designed for people serious about learning a language IMO, it's too easy and goes too slowly.)
Had to do quite a bit to get it to work well.
1. At first you would think that if you know all the words in a sentence, that should be enough to understand the sentence. But it doesn't work like that. For starters, words can have multiple meanings. The french word "bois" can mean "(you) drink" or "wood". You want to learn these separately. I trained an NLP model (a gemma3 finetune) that I use to understand the manner each word is used in each sentence: https://huggingface.co/collections/anchpop/lexide-nlp-models
2. Even then, what about a sentence like "you'd better not"? Even if you know the words "you" "had" "better" and "not", you still won't really get this. So I use the wiktionary "multiword terms" category for each language to get a huge list of terms like "'d better" , "you better believe it", etc, and teach these in addition to individual words. And then I only show sentences where you know all the individual words as well as all the terms.
I am building https://arabicworksheet.com, AI powered Saudi Arabic learning app for expats who work and live in saudi arabia. 100% FREE. It generates printable worksheets based on your level, dialect and topics.
I am also building an app for kids to make their arabic learning fun, rewarding and enjoyable. Do try and share your feedback. TIA
I'm working on a performance review (PR) management platform that doesn't require a steep cost and deep integration into HRMS platforms.
It's a need I have for myself and the teams I run – It offers direct PR's, 360º reviews, recording of wins and lessons (something often overlooked), and aims to be a platform for team and individualised growth, that is accessible to small and large businesses alike.
I'm working on Chatolia, an AI chatbot builder.
The goal is to let anyone create task‑specific agents, train with their own data and an embed it into any site.
Training is simple: paste text, upload files (PDF, DOCX, Markdown, CSV), or paste URLs and it will crawl/index them into a per‑agent knowledge base.
https://www.chatolia.com/
I'd love to know what you think.
I’m starting a book club!
- Sixty books a year (five books a month)
- Self Chosen Books (no forced reading)
- Two recorded Salon style meetings monthly
- Bespoke software for the group including: shared embedding graph of highlights and annotations, IRC chat with @ for members and books and authors, collective bookshelf
- Six members max
Learn more here if interested!
https://www.bramadams.dev/sixty-book-club/
https://tailgator.app, playing around with serverless Tailscale nodes
https://coolinary.app, simplifying cooking and recipe ideas
https://capi.tax, preparing capital gains tax reports from foreign brokers for German income tax (still closed)
https://moveline.app/
I wanted to visualize all my walks and runs on a single map. I built a native iOS app that fetches Apple Health and Strava workouts and visualizes them. Privacy was a major factor in building the app, so all the data stays on the device. Next version will have a time-lapse video option. Any feedback welcome.
Spent the last three months building a competitor/lookalike ML model + API. Started using plain embedding similarity and quickly realized you end up with similar noisy results as ocean.io. Ended up using similarity learning which works quite well with little data. Launched this as an API and small web app. Hardest part right now is to fend off scrapers honestly.
Examples:
- YC: https://markets.apistemic.com/companies/y-combinator-goaq9
- uber: https://markets.apistemic.com/companies/uber-com-ojj2j
- Anthropic: https://markets.apistemic.com/companies/anthropicresearch-yx...
Try it for any company here: https://markets.apistemic.com
I'm trying to learn 3D scanning and printing: I have a few small projects that I want to do to develop the skill:
I want to 3D print a shell that goes over my car fob: I keep leaning on it and setting off the alarm. The shell would make sure the buttons never get pushed.
I want to 3D print a sleeve that keeps the NCAS dongle in my car charger. I really wish there was a dongle that stayed attached with screws or similar.
Been working on my programming language https://github.com/buzz-language/buzz for 4 years now (with some down periods). Currently mainly working on the tooling: LSP, DAP and formatter. Also managed to get fuzzing working with AFL++ and found a bunch of bugs with it.
I'm working on _prompt injection_, the problem where LLMs can't reliably distinguish between the user's instructions and untrusted content like web search results.
Just published a blog post a few minutes ago: https://alexcbecker.net/blog/prompt-injection-benchmark.html
I'm working on ReFocused (https://refocused.app), an all-in-one productivity app.
It's a personal project that grew out of my own frustration. I was annoyed of paying for (and switching between) 8+ different apps for my Pomodoro timer, a secure journal, and habit tracking. I wanted to consolidate everything into one clean, fast interface.
I've spent the last few months building it out it's a full-stack app with a Next.js 15 frontend and a FastAPI/PostgreSQL backend. I'm really proud of the tech and the "minimalist UI, maximalist features" feel.
The app is live and free to use. I'd love any feedback on the app itself, but I'm also genuinely looking for advice: What's the best way to find your first 100 users for a new productivity app?
I figure having real users is a good resume boost and its an app anyone can use so I thought getting users would be easy but I've been struggling with it
Stopping Agents [1] - LLM agents that stop conversations early and save time.
Because they're trained using imitation learning instead of RL, they're scalable and easy to deploy with your own data (also open-source!).
Mainly targeted at and tested on quickly disqualifying prospects in sales calls, but can be applied more broadly.
[1] https://stoppingagents.com
Working on https://greatreads.dev/
A place to find great blog articles by regular folks related to dev/tech world.
Wondering about the best way I can add a weekly newsletter built on top of the content currently being ingested and still looking for more sources to add to the database (let me know if you have any good recommendations).
I'm working on basi, an alternative/syntax to writing Playwright: https://github.com/zikani03/basi
Trying to keep it simple but I can already feel some "design pressure" to think about making the DSL more complete (language) by adding features like loops and variables. Still early days!
An AI-powered social media management tool that creates, schedules, and publishes content automatically across Twitter/X, LinkedIn, Facebook, Instagram, and Threads.
https://postsam.ai
*The problem:* As a solo founder, I was spending hours each week on social media - writing posts, scheduling them, managing multiple accounts. I wanted something that could handle the entire workflow automatically while still letting me stay in control.
*What PostSam does:* - AI generates content tailored to your brand voice (you provide initial brand info) - Creates full content campaigns with posting schedules - Calendar interface to review, edit, or reschedule posts before they go live - Auto-publishes to all connected accounts - Learns from your edits to improve future content
*Current status:* Live and working. Seeing good engagement rates from users who set it up once and let it run. The AI content quality has been surprisingly good - it adapts well to different brand voices.
Tools to help my mental health tracking[0], and sharing with others how I manage my limited amount of energy[1]. They're kind of related, since mental health impacts my energy, so I've needed to prioritize and really make sure I'm spending my time and energy on things that matter. Usually, there's a good mix of things I enjoy doing with things I gain a lot out of. I've spent a lot of time thinking about this!
I've used my app in various forms for around 5 years, rewritten multiple times. But now I'm creating surrounding tooling to help others put my mental model for personal life prioritize to use. I'm writing in the "Saving Spoons" Substack as I go, trying to explain why and how I do things, with advice for others trying to do the same thing.
[0] - https://github.com/eeue56/gobaith/
[1] - http://savingspoons.substack.com/
I continue to work on My Financé, my personal finance tool.
I’ve been struggling to find substantive traction, so I’m trying to niche down to make the tool really helpful for people who want to quit their jobs.
I built a rudimentary planning and forecasting engine, and am trying to run paid ads to see if the signals resonate with people. I don’t love ads, but maybe trying to understand them will further inform my opinion on them.
One thing I would love to come up with is a way to make the app fully local first, while continuing the ability to sync accounts via plaid. It would be great to not be able to see people’s data at all. Im trying to figure out if there is a good user experience I could provide while minimizing the amount of data I actually have access too. Maybe this feature won’t matter to my primary customers though, I’m not really sure.
I still have a ton of fun working on it, and if it never really makes any money I consider it a great success for my personal learning.
Link for the curious:
https://myfinancereport.com/
I’m working on Reflect [0], it’s a privacy-focused app for self-tracking and self-discovery. You can track metrics, run self-experiments, set goals, view correlations, visualize your data, etc.
[0] https://apps.apple.com/us/app/reflect-track-anything/id64638...
Made a website to host a blog! Right now it's empty except for one post describing the process of setting up the blog. I plan to add more stuff once I finish this semester in college.
Website: https://ngonella.com/
I have a bunch of ideas and small projects I would like to write about, so I'm really excited about this.
We developed a novel optimization pipeline for LLMs so large models can run on a standard laptop.
Our first prototype optimized an 80B model to run at full 256k context at 40 tokens/s while only taking up 14gb of RAM.
We are currently leveraging this tech to build https://cortex.build a terminal AI coding assistant.
https://credit.quantra.io/
Historical public companies Merton Probabilities of Default.
A project just for fun and still having to finish a couple of things.
I plan to make the datasets public (everything but some raw market data as vendors don't allow that) and also about to add the explanation of what Merton PD is.
Chipping away at trying to bring a total reform of American English.
https://reformeuropa.net/raea.html
Currently its at like 90% completion but there are some subtleties that probably need to be worked out a bit more. The PDF linked from that page explains all the details (although for reading just peeking at the charts on Page 4, 5, & 7 should get someone to reading it fine enough). Currently both Alice In Wonderland and Dr Jekyll are fully transcribed into the reform if someone wants to jump into seeing it in action. Certainly interested in thoughts and complaints of the system.
Also looking here sometime soon to playing around with an improved SI unit system. So if anyone has any new ideas here too I'd be very interested.
Examples of things to be touched upon would be like: - Make g (not kg) the base mass unit. Making 1 m^3 of water = 1 g - Bring commas to be the universal decimal point separator.
Frontend framework in JavaScript that requires no build step, relies on DOM and SSR and can be used to build both SPA and hybrid apps without VDOM, js templates, hydration or putting HTML (or worse, css) inside JS code. It'll also have a very sophisticated declarative state manager which makes managing state and ui transitions a breeze. It's basically anti-React.
I'm starting a project soon, with the clear idea that:
- I will not consider it feature-complete
- It might be a waste of time if the performance isn't what I imagined
Basically, I have a pain point with pytest being a bit slow. Nim and Rust (and other languages) have ways to transpile Python code into the other language. I know some Rust tools to run the tests, but they have some differences from pytest.
My idea is to have a runner that transpiles the code to either Nim or Rust, compiles it, and runs the compiled tests. Test discovery for sure would improve, but I have no idea at all if the compile + run time would be smaller than just running pytest normally. There are a lot of challenges in this project, so I'll probably use it to learn another language and some new skills, instead of building something aiming to be usable out there.
Curated LinkedIn topics + AI drafting: validating before building
I'm exploring building a weekly curation service for professionals who want to write on LinkedIn but struggle with "what's worth writing about."
The thesis: In the AI era, execution (writing) is commoditized. The real bottleneck is editorial judgment... knowing what topics matter before they're obvious.
The concept: Weekly email with 5-7 curated topics (tech trends, policy shifts, market movements). Each topic comes with sources, multiple angles, and context Choose your perspective, AI drafts a polished article
Why I think this could work: I've been manually doing this for myself for years. Pattern recognition at scale is hard to automate, but pairing human curation with AI execution might work.
Target market: ~30M professionals who should be building thought leadership but don't have time to spend on research.
Current status: Validating demand before building. The hard part isn't the AI, it's systematizing the trend-spotting and curation process without losing signal quality.
Curing broken developer heads. Good software engineers are good, because they are non neurotypical with many downsides such bad emotion/feeling management with huge avoidance.
My point to help to build your own MentalOS that works for, to live smoother lives without huge up and downs.
https://getpartner.ai
I have been working on Buckaroo - my table display library for dataframes in notebook environments. Buckaroo adds table and analytics features like histograms, summary stats, sorting, and search to every dataframe. Recently I have been working to make it work better with large datasets.
This involves making it lazy for polars, allowing it to read arbitrarily large files no longer requiring loading the entire dataframe into memory. When a large dataframe initially displays, no summary stats will be available. Summary stats are computed in the background in groups of columns. Then results are cached per column. To accomplish this I wrote a polars plugin in rust that computes hashes of columns. Dealing with large data like this is tricky, operations sometimes crash, sometimes take all available memory, and sometimes they just run for a very long time. I have also been building an execution framework for Buckaroo. It uses multiprocessing based timeouts, and the caching to execute summary stats in the background.
Being able to control the execution, recover from timeouts, crashes and memory exhaustion opens up some interesting debugging tools. I have written methods that take arbitrary groups of polars expressions and produce a minimal reproduction test case through a git-bisect like process.
All of this assures that if individual columns of a dataframe fits into memory, summary stats will be computed for the entire dataframe in the background. And because it is cached, the next time you open the same dataframe, the stats will be display instantly. When exploring data I do this in an adhoc way manually (splitting up a dataframe by columns and rows), but it is error prone. This should all be automatic.
I will be presenting this at PyData Boston in December.
The Column's the limit: interactive exploration of larger than memory data sets in a notebook with Polars and Buckaroo
What I am working on right now:
-https://salespark.app/apps/discount-spark: A Shopify app that allows merchants to create more powerful discount codes so they can create stronger offers for their customers.
What I recently built but didn't find a successful product market fit:
-https://wordazzle.com: A word game that's designed to expand your vocabulary with exceptional words.
-https://spicychess.com: Chess, meet boxing! Imagine playing chess BUT you can also smack your opponent. Now, if you smack em enough times to drain their health completely(yes, you have a health bar), you can steal their turn. It's fun, a little evil, but after thousands of $ spent on marketing, never found critical mass.
A web app for my music needs - metronome, ABC notation editor with MIDI playback and PDF render, an embedded YouTube video player with a chapter/section creator based on timestamps and a looping feature for the chapters for practicing
https://metro.scopecreeplabs.com
https://metro.scopecreeplabs.com/abc
https://metro.scopecreeplabs.com/video
Offline first, everything is saved to Local Storage. Sharing is also purely serverless - the ABC text and the video chapter defs are shared via query parameters after compression and base64 encoding.
Tech: React, Material UI, ToneJS, ABCJS, CloudFlare (Pages, Workers, D1 Storage)
Next: Add an AI assistant to the ABC editor - editing ABC text gets painful fast.
I've been building a little toy computer and assembly language that's interpreted in python. Pretty close to the first release (and introductory blog post) and a lot of fun to build (and learn a bit more about real assembly as I go).
https://github.com/daturkel/dt31
https://yournextstore.com https://github.com/yournextstore/yournextstore
I'm building Your Next Store (YNS); it's a Shopify alternative built with React and Next.js.
We provide an opinionated boilerplate tailored for tools like Claude or Codex, so designers and developers can build storefronts faster and more easily. It enforces a clear structure to start from while keeping full control over design, animations, and the overall storefront experience. It’s built on top of Stripe, with our higher-level commerce abstractions, like "add to cart", "checkout", "pay", "browse products" etc; plus a Commerce CMS so merchants can manage everything smoothly once their store is live.
If youre planning to sell something online and want a modern solution, hit me up! :)
SPLADE-easy: https://github.com/dleemiller/splade-easy
I wanted a simple retrieval index to use splade sparse vectors. This just encodes and serializes documents into flatbuffers and appends them into shards. Retrieval is just parallel flat scan, optionally with reranking.
The idea is just a simple, portable index for smaller data sizes. I’m targeting high quality hybrid retrieval, for local search, RAG or deep research scenarios.
SPLADE is a really nice “in-between” for semantic and lexical search. There’s bigger and better indexes out there like Faiss or Anserini, but I just kinda wanted something basic.
I was testing it on 120k docs in a simple cli the other day and it’s still as good as any web search experience (in terms of latency) — so I think it’ll be useful.
We’re still trying to clean up the API and do a thorough once over, so I’m not sure I’d recommend trying it yet. Hopefully soon.
I'm working on SuperCurate (https://getsupercurate.com), which is geared towards note retrieval and curation rather than note creation. Think filing cabinet for your notes, web clippings, images and PDFs.
I wanted fast search and filters for my Evernote archive so I could drill down and surface exactly what I was looking for.
There's also a Web Clipper extension for Chrome.
Demos:
Search and curation: https://www.youtube.com/watch?v=z4QSIoUL4Uk
Web Clipper: https://www.youtube.com/watch?v=8F7QoC7X3fs
Search inside PDFs (jumps to page + highlights snippet): https://www.youtube.com/watch?v=t0X9sD-938Q
It's free while in beta, would love feedback if you try it.
We recently launched CapitalReach.ai - https://capitalreach.ai We built it to make fundraising easier for founders, it uses AI to help you:
1. Find and match with the right investors automatically 2. Personalize and automate outreach campaigns 3. Track investor responses and manage your fundraising pipeline in one place
The goal isn’t to replace the hustle, just to remove the repetitive parts so founders can focus on building relationships.
Would love honest feedback from fellow founders and investors here:
Does this solve a real pain point for you?
What feels missing or unnecessary?
How do you currently manage investor outreach today?
This month I wrote a small Windows utility to keep a PC "always awake": prevents the PC from going to sleep (using a Windows API that exists just for that) and simulates invisible mouse movements every 60 seconds to keep apps like MS Teams happy, so that the user always appears active.
There is a PowerToy thingy that's similar but it's full of options and command-line flags. My version has no options, it's just a tray utility that can be toggled on (green) or off (orange) with double-click. There are also physical mouse jigglers but they're cumbersome, and many have visible mouse movements, which is extremely annoying (not all of them do this but many do!)
The full install file is just 100Kb, works on all versions of Windows starting with Win7, installs without admin rights. Can't live without it!
I need to make a website for it but I'm procrastinating on that one last step...
ArtCraft [1], a source available Adobe + AI.
Here's a demo / trailer that shows it off:
https://www.youtube.com/watch?v=NNHSTfWbkaA
If you're into movies or filmmaking, it's a fantastic AI tool for consistent, fully-intentional scenes with deliberate set and actor blocking.
It's also the cheapest model aggregator service out there. You can log into every AI image and video provider directly and don't have to pay me anything to use the tool. You can use your Sora account, Midjourney account, Grok account, etc. It'll soon let you log into other aggregators like OpenArt, plug in your FAL API key, etc. so you can use your credits/funds wherever they happen to live.
Unlike the other "model aggregator" websites like Higgsfield, this is a desktop app written in Rust that you can keep. It also has highly intentional 2D and 3D design surfaces especially built for design.
Text prompting sucks for artists and designers, so I'm trying to put image and video design onto canvases that you can intuitively mold like clay.
Here are some short films made with ArtCraft:
https://www.youtube.com/watch?v=H4NFXGMuwpY
https://www.youtube.com/watch?v=tAAiiKteM-U
https://www.youtube.com/watch?v=SuVW8l-_O3I
Would love to hear feedback if anyone tries it out.
[1] https://getartcraft.com
Working on asking whoishiring not to forget the freelancers next month.
https://news.ycombinator.com/submitted?id=whoishiring
Edit: oops nevermind it's a goner.
https://news.ycombinator.com/item?id=45804464
I'm building RecallBricks - persistent memory infrastructure for AI coding tools.
The problem: Every time you switch between Cursor, Claude, ChatGPT, your AI forgets everything. You spend half your time rebuilding context instead of coding.
RecallBricks automatically captures context from your coding sessions and makes it available across all AI tools via semantic search. Works with Cursor, Claude Code, Continue.dev, GitHub Copilot, or any LLM.
Built the entire stack with Claude Code (meta, I know). Gas utility worker who taught myself to code, now shipping production infrastructure. Currently in private beta, launching publicly in a few weeks.
Tech stack: Render API, Supabase (Postgres + pgvector), Python/TypeScript SDKs, VS Code extension, MCP connector.
Would love feedback - especially from folks juggling multiple AI coding assistants.
A client-side web app to help scuba divers set up their dive computer.
Scuba divers use computers to tell them when to make stops during ascent to prevent decompression illness. Many recent computers implement Bühlmann's decompression algorithm with "Gradient Factors".
Gradient Factors are 2 free parameters that control the "safety" margin of the dive. It's not obvious what values to choose, especially for novice divers.
My app explains what they are and shows their impact on the computed dive plan.
https://repied.github.io/paliers/
I’m working on an AI-assisted reminders app using on device models for iOS.
Things like, “get xyz a birthday gift”, and it finds the contact and sets the reminder for a few weeks before the birthday.
The source data is calendar and contact info, but the nice thing about local models is that no data gets sent to providers, and the app can be cheap
We’re working on an AI-first interview platform for developers: Valuate.dev
The usual approach to coding tasks doesn’t work anymore - companies are looking for AI engineers, yet it’s still unclear how to assess AI proficiency.
Our goal is to design challenges that combine prompting + coding, allowing us to score both how well a candidate prompts and how good the resulting code is. The aim is to bring measurement to AI prompting skills - how well-aligned prompts are and how candidates handle LLM-generated code.
At the same time, we want to keep a strong human balance in the process: hiring is a two-way street, and screening shouldn’t be fully offloaded to AI. We’re human-first.
Several tasks are already live - you can try them here: https://valuate.dev
After creating the feature request for Claude Code hooks[1] a few months back, Cupcake is nearly ready for release.
Cupcake is a governance/policy-enforcement layer for agents. Its innovation is binding OPA/rego to agent runtimes (via hooks).
I do not believe we will every strictly rely on "better" models in the wild without deterministic guarantees or ways for enterprises to factor in their own alignment - system prompts dont cut it.
https://github.com/eqtylab/cupcake
Stay tuned for the formal release here in a couple of weeks.
[1] https://github.com/anthropics/claude-code/issues/712
Cupcake GitHub: https://github.com/eqtylab/cupcake
I'm working on https://mimicmarketer.com It allows you to define different personas that you can then test marketing on. This allows you to see how different personas will interact with your marketing. Currently, it has a feature that allows you to define basic personas and test them against two types of copy, as well as a tool that grades your email subject lines and bodies against a generic persona, assessing the likelihood of user interaction with the content.
My other project is https://eggexplorer.com This is a site I wish I had when building out my flock of chickens. It allows you to see the different characteristics of chickens and which hatcheries sell each different breed. You can also see which hatcheries sell hatching eggs for each breed as well.
I’m working on a few small AI tools in Cursor right now:
A lightweight infographic generator (Gemini API → structured layout → export to PDF).
An AI marketing content tool that takes a topic and outputs research + themed HTML + a printable PDF.
Cleaning up the docs/structure for Schema Scanner, an open-source tool that scans websites and generates Schema.org markup.
Exploring a simple AI search visibility tracker to see how often a brand shows up in ChatGPT / Perplexity / Gemini responses.
Still early, mostly building to understand what’s useful vs. noise, but the patterns have been interesting.
My booktube channel : https://www.youtube.com/@NevsBookChannel
Of relevance - my review of Code Complete: https://www.youtube.com/watch?v=QlY0EGWp7rw
https://github.com/ezeoleaf/mycorust - A mycelium network simulation after I started to get interested in fungi and mycelium. Learnt a lot of Rust and gain more knowledge of performance and resource usage.
- Zig bindings for AVIF/HEIF
- Local-first app for comparing hardware builds, down to the individual component feature level: specs, benchmarks, even cpu extension support, lanes, how many speakers in X laptop, dolby atmos? screen panel manufacturer(s), etc. Basically, no-nonsense real product comparison for transparent and fast decisions.
I am working on a platform that simplifies access control in an enterprise.
A lot of cybersecurity attacks happen because of stolen credentials. One big example is the supply chain attack, Shai Hulud. In a lot of enterprises, credential sprawl is a huge issue and figuring out who (people, services, ai agents) has access to to what systems is a paramount task.
At https://gearsec.io, we are building a platform where accesses are created via policies. The result is that, the enterprise doesnt deal with credentials anymore. They only need to define policies and nothing more.
I would love to know if you faced this problem and how are you solving them at your workplace!
I'm building https://localhero.ai. Automated i18n translations that run in your CI pipeline.
I have worked as dev in many different constellations of the years, and seen many teams choose between bad options like delay feature launches for manual translations, ship incomplete translations and promise "we'll translate it later," or lately use ChatGPT/LLMs that lose consistency/context and require coordination.
Localhero starts from the premise that translations are part of CI. New strings get translated automatically in GitHub Actions, with glossaries and style guides so it sounds like your product and not generic AI output.
Goal is to help product teams ship localized features without all the coordination/delay.
I am right now building a proactive coach on top of my AI work capture app. Concept is very simple: It takes a screenshot every few minutes and analyzes what you're working on. From there it identifies task blocks, and checks if it should start a chat based on your intentions (eg to tell you to move out of your rabbit hole, take a break, help with a task, ...)
https://donethat.ai Passively processing screenshots is obviously pretty sensitive, it has an option to bring your own (local or remote) LLM, otherwise I process with gemini and never store any data.
It's in beta right now so if you want to try it you have to enable "proactive chat" in settings.
I also made a list of similar tools out there: https://donethat.ai/compare
MCP gateway: https://mintmcp.com
There's an agent monitor which intercepts requests either using a LLM proxy or hooks, that gives you full telemetry into the agents + MCPs used. And a MCP gateway that enables centralized deployment and securing of MCP.
I'm working on a browser extension that lets you save a list of all your open tabs into a markdown document. You can format the output using a templating language and it saves direct to your Obsidian vault if you have one (otherwise gives you a markdown file to download, plus a clipboard copy).
github link: https://github.com/cgranier/tabSidian
Links to all the browser extension stores on github.
I'm building one project a week for the next 25 weeks for my newsletter. First, I want interesting content for the newsletter. Second, I want to try to grow the newsletter to put out something fun and joyous. The world needs more good fun.
https://randomdailyurls.com
I’m working on Alaska, a serverless compute platform I built entirely from scratch — no Kubernetes, no existing orchestration layers. It can spin up dozens of containers in parallel in just a few seconds. The platform is designed around a fast feedback loop — you write code locally, test instantly, and run it remotely with minimal friction. There’s a Python SDK that uses decorators to define what runs on the platform, so your local functions become distributed services without extra boilerplate. I also built a custom filesystem using FUSE to handle code, data, and runtime synchronization cleanly across nodes. It started as a personal exploration of distributed systems, but it’s grown into something that feels genuinely exciting! It's created by a developer for developers. Planning to open it up for beta testing soon.
I'm working on rebuilding Playwright from the ground up, but focused on automation and self healing using LLMs.
It's called Stagehand (https://github.com/browserbase/stagehand) and we just released v3, which is a total rewrite.
Helping my recent MBA grad sister make a simple python script to fit here resume to a JD using openAI's api. Shes applting to product and marketing roles in AI and this helps her understand the tech (and its limitations) better as well as apply to more jobs easier
Market is brutal though man. She hasnt gotten an offer after so much trying
Wrote and released a daily reader on sobriety and stillness called I Will Not Drink With You Today.
There’s a companion website: https://iwillnotdrinkwithyoutoday.com
I wrote the book in markdown, stuck it in a SQLite DB and wrote a parser to put all the data in static JSON so it loads very fast.
I also created a new personal homepage to update my presence on the web as a published author and experienced leader and technologist: https://davidbyrondrake.com
Book was released less than a month ago—growing it organically like a startup has been fascinating in terms of marketing, sharing, building, and measuring success.
Have been utilizing my acting skills again with readings from the book on my Instagram and TikTok.
Having a really good time with it!
In progress: I’m writing a book about how the brain processes text in general - and news articles in particular.
I also created and maintain a Russian "newspeak" dictionary: https://github.com/alamzin/az/
I recently launched this satellite imagery tool.
https://satellitemine.com/
I work as a civil engineer in the mining industry and it can be troublesome to download satellite imagery for a particular date and cloud index. Yes, Google Earth Engine and QGIS plugins exist, but they are slow and confusing to jump back into after a period of time. SatelliteMine is simple to use and any images of your area of interest is saved to your account and can be downloaded as a geotiff.
Currently free to use with a cloud storage capped at 512MB per account. Paid plans for greater storage requirements will be provided if the demand is there. Any feedback is welcomed :)
Tritium, the IDE for legal: https://tritium.legal/preview
This week we're building out the UX around formatting and this month we're building a more robust set of integration tests and integrating with a large industry platform.
I’m working on a platform that makes it easy for people in West Africa to buy and sell cryptocurrencies (like USDT, USDC, ETH, BNB, POL, AVAX, etc.) directly with mobile money — the most popular payment method in the region.
The goal is to bridge crypptocurrencies and local mobile wallets to make crypto useful in everyday life — not just for trading, but also for online payments.
A few key features:
Mobile money integration (MTN, Moov, Orange, etc.)
Instant buy/sell of USDT, USDC, ETH, and other assets
Crypto payment gateway — businesses can now accept stablecoin payments directly on their websites
I’m currently focused on improving liquidity and expanding to more countries.
Would love feedback from the community — especially around :
- Liquidity and Marketing to find the first users.
Happy to share more details or collaborate with anyone working on similar problems.
Website : https://ciexchange.xyz/
building a location-based game that captures Taiwan's absurd convenience stores density[1]. Players stand at any 7-11/FamilyMart/etc, take a photo showing you can see the next store, walk to it, repeat. Chain as many stores together as you can.
It sounds silly but Taiwan really is this convenient - you often can see 2-3 stores from one spot. Here[2] one route where you can actually link 7 convenience stores in a row! Now trying to make maps look a bit nicer with mapbox.
[1] https://craftmygame.com/game/convenience-store-marathon
[2] https://craftmygame.com/game/convenience-store-marathon/rout...
system to test and calibrate an analog traction control system. the system uses a frequency to voltage converter and a bunch of opamps to compare wheel speeds then determines wheel slip or slide and either reduces engine power or braking.
Test system uses ADCs, DACs and a DDS to produce a sine wave that simulates wheel speed.
I would rather be fishing.
Resterm - Terminal client for HTTP/GraphQL/gRPC. It includes support for WebSockets, SSE, workflows, profiling, OpenAPI, response diffs and many more.
https://github.com/unkn0wn-root/resterm
Developing a fingerprinting method for identifying music masterings! Like Shazam but to tell what version of an album you have.
The idea being able to compare measurements to see what mastering you're really getting - because they are NOT all equal. With the remasters and stealth replacements on streaming, it seems like every other month I wake up one day and my favorite music sounds worse (or is gone...). Now I can measure it and help find what versions I really want to collect!
I may end up trying to make a fingerprint database/tool that sits in between MusicBrainz and Discogs. That way hopefully the community can standardize and quantify some of this info that only lives ad hoc in Steve Hoffman forum threads or partially on sites like https://dr.loudness-war.info
Gauge.
https://gauge.flurdy.io
A pulse of your team's mood and well-being.
Simple, voluntary, anonymous, daily feedback on stress, happiness and productivity.
With anonymous reports with gauges and trends. Spot trends early.
Two person Micro-SaaS which helps employers collect one way video interview screening responses from candidates at scale https://hirevire.com
Here's Hirevire’s #buildinpublic stats for October 2025!
$7,275 MRR (+13.74% MoM ▲)
3.2 years since launch
8.9K unique visitors, 2.5K from Organic Search
Still working on my digital nomad event and workation aggregator.
But now with travel and visa guides to help remote workers become productive in Japan and South Korea ASAP and give them visa guidance if they want to stay a bit longer.
https://reorient.guide/
Working on https://gametje.com (a Jackbox games competitor). Been working on the Android TV app lately. Will probably start creating a new game next week with acronyms similar to the old game Acrophobia from the late 90s/early 2000s.
Many projects active.
(1) For one product I am working, I have been working on a custom reporting language for producing high quality PDFs. I used hy.py as a basis to make it LISP-like.
(2) I need to make a Django postgres site that I am running more reliable. Earlier I was experimenting with making static HTML renderings of the pages. That is certainly nice, but it took several hours to reproduce the site. I am currently prototyping making read-only replica of the database in SQLite (the database is only 1 MB) and hosting it on CDN, and then pulling that for the read-only replicas. The database export takes only some seconds.
(3) I vibe coded a iOS app using that same SQLite database that fetches it from the same location. It was surprisingly simple. It seems much simpler than using Flutter or React native.
After 10 years in defense tech, watching missile attacks in Ukraine and the Middle East made it clear how little most people really get about air defense. So I'm building this simulator which drops you into the operator’s seat. You can test out different scenarios and build an air defense network against various types of threats (stats from real world). Also have Ukraine, Israel-Iran scenarios. https://airdefense.dev/
I also wrote a longer technical post on the maths behind it: https://medium.com/p/292c755a6ceb.
I'm working on https://www.fluxmail.ai, a modern, AI-powered email client.
I think there's a lot of potential for AI to improve the way we organize and manage our inboxes, while still letting us keep control over it.
What I've learned is that there are a lot of little features that make up a good email client that you may not even think about when using one, like threading, quote blocks, even what email address(es) to autofill when you reply to an email. For an app you use potentially for hours a day, the polish and "last 20%" makes a huge difference - and takes a while to build!
If you have any feedback, especially on what features are most important to you in an email app, I'd love to hear it :)
Build a little screen recording tool which apart from combined stream, also gives you the full resolution input streams (camera/screen recording)
https://simon-frey.com/clips
Works only on chromium based browser as it directly writes into files on disk to not loose data. Sry
https://recipin.com Recipe extraction and archiving to avoid link rot and blog spam. No tracking, no JavaScript, no AI[0], and just a dusting of CSS. Source available to run your own server if you’d like (https://github.com/bradly/recipin).
I’d like to add importing from a Pinterest account and continue adding support for all the creative implementations of the schema.org recipe format that different sites use.
[0] My partner has a bunch of handwritten family recipes, so I’m trying out an optional extract from a photo of a hand written or magazine recipe that uses AI. Not required and I may pull it out into its own service that spits out schema.org recipes. We’ll see.
https://prettygoodmusic.app
Music player that can organize album collections from different services like Spotify, Apple Music and Bandcamp, Discogs, and show detailed and high quality information that can be searched and filtered.
I’m building a reward chart app for parents. See link below. I just submitted it yesterday for review the App Store and Google Play. Now I wait. Fingers crossed.
https://whirl.digital/housepoints.html
I'm building GhanaHousePlanner https://ghanahouseplanner.com/, a web platform to help people in Ghana/diaspora plan, estimate and manage house construction projects. It is free for individuals and only project management and using the floor planner ai agent needs subscription.
Current features include:
- Live material price list updated monthly (based on prices at local shops)
- Conceptual 2D/3D floor plan generation following Ghana Building Standards (development in several phases using procedural floor plan generation)
- Construction management dashboard to track project stages and conversations between project manager, mason, carpenter, etc.
- Printable material cost breakdown
TODO: A contact listing for local construction services
I would love to have feedback, thanks.
https://unheard.fm
I was tired of repeat, sponsored, and "safe" music suggestions from Spotify, so I built a discovery engine that puts the control back in the user's hands.
The core idea is simple: You define a "Discovery Model" with explicit constraints (specific genres, release years, track popularity, etc.). The app then uses this blueprint to source tracks.
The results are fresh for two reasons:
- "Known" Track filtering: Excludes all songs saved in your library and recent listening history.
- Active Curation: Uses your custom model, not a vague, opaque algorithm.
It’s built with a local-first mentality and a focus on privacy. No black-box AI "vibe" mixes, just pure, objective discovery based on your criteria.
Hope ya'll find some new gems!
Porting antique operating systems (PalmOS) into antique kids’ toys (Fisher-Price Pixter Color): https://x.com/dmitrygr/status/1986329723224441227?s=46
Finally making a simulation of my heat engine. It's kind of like stirling engine, but working on entirely novel cycle, theoretically should be able to achieve over 80-90% efficiency (yes, more than Carnot theorem says). I had this idea for 15 years already, but didn't have enough free time to make prototype. Now I don't have much time, but thanks to AI I have kickstarted simulation program (it told me which equations to use and how, I do most of my programming myself), turns out it's not as hard as I've imagined when you know which equations to use. Still working on it at max several hours a week because I have two other programming jobs. If it works, it will noticeably bump humanity on Kardashev scale.
Working on a meal tracking app (iOS/SwiftUI) that helps you understand eating patterns - mood, hunger levels, where you eat, etc. Built it to learn Swift and shipping to the App Store.
Honestly struggling with whether it's solving a real problem though. The detailed tracking with quantities and calories feels like too much friction.
Would love to hear if anyone actually tracks their meal habits and what works for them.
I'm making a game finally! Merge-three + village sim.
Hoping to actually take this one to something polished as opposed to the many half-finished prototypes littering my git repo over the years. I've discovered (always knew?) that heavily cutting scope is the best way, and been successful thus far.
It gets pretty boring/unbalanced by ~150 turns, but I have some ideas on how to fix. I'm still playing with ways to help de-clutter the board and make use of the economy aspects.
After some false starts with ai-gen art, I had fun learning to color the pixels myself. The process wasn't as scary as I'd thought and the results are better than I hoped.
https://tower3.dreamofninjas.com/
Inspired by TripleTown from the wonderful studio Spry Fox.
I'm wrapping up a v0 of a personal website soon [1]. This has been kinda "coming soon" for almost 7 years now - every single time I attempted it in the past, I would stop it prematurely due to a lot of yak shaving and I could never finish it fully. Or more commonly, I would get bombarded with busy times as well.
I'm happy where it's landing so far but also appreciate any actionable feedback to make it better (!). Under the hood, it packs a Rust Axum API, plenty of ffmpeg, and some hobo infrastructure [2] here and there.
[1] - https://nid.nogg.dev
[2] - https://github.com/nidnogg/hobo-infra-manifesto
Have been working on three micro-saas, all built in Elixir/Phoenix:
https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.
https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.
https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".
Working on developing a suite of apps around photography, from cameras to editors and utilities.
https://heliographe.studio
The goal is lightweight, composable tools with clean interfaces that respect user agency and privacy, provide technical clarity, and make you a better photographer by encouraging mastery over your tools and offering new ways to approach picture making. Also broadly honoring the (almost) 2 century old history of the craft and drawing inspiration from pre-digital processes and approaches.
Got a number of updates to existing apps and new ones in the works, I’m excited for the full long term vision I have that I plan to sum up in an essay at some point.
Currently Apple platforms only but the plan is also to break out of that down the line.
TinyETL. Fast, zero-config ETL in a single binary.
Transform and move data between any format or database instantly. No dependencies, no config files, just one command.
https://github.com/alrpal/TinyETL
I've been working on a ttrpg site for the last year with my own IP. The intent is to create an experience that makes an intuitive UI that minimizes tedious tasks.
You need to know "does this guy look hurt"? The enemy HP bar can be set to either an actual percentage, or set to have cracks in the bar to signify a range of damage. Does only person take notes? Personal notes are shareable and there's a section for community notes. Do you have enough perception to notice a hidden door? The UI can be set to go off passive perception and give you those notifications automatically.
It's still in early alpha testing with friends, but it should eliminate general GM pain points to encourage more groups to form.
https://unskip.me
Currently working on a website that lets you add any form of troll CAPTCHA to your website or allows you to create a redirection with shortened link.
It is a fun project and oh boy I really enjoy solving CAPTCHAs on random websites.
I'm working on https://pipestack.dev, a workflow automation platform where you bring your own code - as Wasm Components.
Think n8n, but you bring your own code and optionally even your hardware to execute pipelines.
I'm building a fun writing app that mimics the feel of a real typewriter.
Free on iOS + iPad + macOS (Catalyst), and I'm working on adding additional skins, premium features, and Android soon! :)
https://retrotype.ink/
I posted in this monthly thread first time in May when I launched a daily logic puzzle, Clues by Sam. Since then it's grown significantly, and I couldn't be happier!
The game has a farily simple frontend, but there is a fairly complex constraint solving algorithm as part of the puzzle making process. What makes the puzzle quite unique is that you can't "guess". You can only make guesses that are provable by logic. The algorithm ensuring this has worked flawlessly for months now (though I've manually inserted some silly mistakes once or twice).
Today's puzzle is one of the hardest to date. The difficulty resets on Mondays, and then gets harder again towards Sunday.
https://cluesbysam.com
I left my job to work with the technologies (embedded rust, SQL, custom PCBs, typescript & angular, more rust server side) and practices I'd been dying to use and build a solution for a problem I had. A big part was also the desire to control complexity and lead product direction instead of taking assignments knowing they were the wrong direction for the products and their consumers.
It's an instant remote control built for shared spaces. Anyone can use the remote with a QR code on their mobile device. Since its IoT there are lots of interesting features including permissions, various remote interfaces, universal remote capabilities and more.
https://openinfrared.com
I built a free (eventually free-mium) character card app for iOS: https://loreblendr.ai/app
These cards are super versatile prompts mediums and haven't been fully creatively explored.
Hey,
Cheating in exams has quietly become a global industry — from small university tests to national certifications and professional licensing.
We’re building https://trustexam.ai that protect the integrity of high-stakes exams and certifications — from universities to government licensing and professional testing.
Our focus now is on scaling this globally and using ethical “white-hat” research to understand how people cheat and how technology can rebuild trust in digital assessments. What’s the best way to make that impact worldwide?
I have made a co-op roguelite tower defense game inspired by the old Warcraft III maps. A major inspiration was YouTD. You can play it here: https://defense-of-solaris.com/
Working on a curated Hacker News x AI newsletter.
There’s so much nuance in HN threads that often gets missed elsewhere, so I decided to put start this newsletter.
Initially started as an experiment for 10 issues to see ig it gets traction, 6 issues in it’s at 68 subs and probably will continue for unlimited time period.
Link to the latest issue: https://eomail4.com/web-version?p=01b6f55e-bb2d-11f0-bcb3-f3...
Link to subsscribe: https://hnxai.eo.page/9h7q4
I’m building https://unrav.io : A tool to fight information overload.
It lets you turn any article, YouTube video, or PDF into summaries, mindmaps, podcasts, chat conversations or infographics that match how you learn with just one click.
We just launched this week the Chrome extension so you can do all this in one click on any page, no login needed (with generous freemium usage).
https://unrav.io https://chromewebstore.google.com/detail/unravio/mbnapibcjcf...
Would love feedback from fellow builders.
A few things:
https://terminalwire.com streams a TUI/CLI from web apps without having to build an API and
I recently finished 45 videos at https://beautifulruby.com/phlex, so now I’m talking more about them and
Updating https://sitepress.cc to work with Rails 8.1 and thinking about another set of videos for it at https://beautifulruby.com/sitepress.
I’m building RootCX (https://rootcx.com). A customer "operating system" replacing dozens of SaaS tools.
As a second-time founder, I've watched the SaaS boom create an ocean of best-of-breed tools. Each solving one slice of the problem. One solving it end-to-end.
Now every company runs on a patchwork of apps, APIs, and workflow hacks just to keep customer context alive. It's insane how normalized that's become.
RootCX starts from the opposite premise: the customer is the core, not the app. Everything: CRM, support, billing, workflows, AI, ... plugs into one shared customer base. Less juggling tools, more actually running the business.
I'm building an analytics and attribution platform for onchain apps, named Formo.
https://formo.so
Think Google Analytics + Posthog designed for crypto users and apps!
I've learned a lot about data engineering and analytics in the past year.
I am working on building neospark - AI native canva
And we are now recruiting our first group of seed users. If you're excited to shape the future of design and be among the first to try neospark, please visit our homepage and join the wishlist through https://useneospark.com/
We'll send you an exclusive invitation the moment our MVP is live.
I’m developing a Mac desktop application that allows you to rewrite text using any LLM (via OpenRouter). Currently, users select text, copy it, and activate Cliptomic with a designated shortcut. The application then rewrites the text and replaces the original content in the clipboard, enabling easy pasting of the improved version. This project is still in its early stages: https://github.com/PaleBlueApps/cliptomic
I'm atm working on a couple of things, first the biz, a self-hosted home server OS that simplifies Docker management and provides a unified dashboard for running services at home. The goal is making self-hosting more accessible without sacrificing flexibility.
And also building as a hobbie a procedural universe generation engine that simulates galaxies, solar systems and planets in real-time. Everything is generated from a seed with actual orbital physics, seasonal changes and so... Built with Python/Flask backend too but Three.js for 3D visualization and React instead of Vue3 as in the prior one. Think No Man's Sky vibes but as an explorable simulation engine really D:
Mockaton. An HTTP Mock Server with a dashboard UI for changing mock variants on the fly. For example, for testing retries.
https://github.com/ericfortis/mockaton
I'm working on a paragliding track visualizer: https://skyviz.io - I started it just for myself, then it kind of got out of control, and now I'm spending wayyy to much time on it After many years of working on enterprise crud apps, it's so refreshing to actually use some maths and 3d programming again :D But now it seems the the only way forward to make more out of the product is by doing marketing... Something that is absolutely NOT my area of expertise nor interest
A website that lets you match watches with different straps to get a feel for how it'll look.
Mixing and matching watches with different straps is something that I really enjoy doing. It's not often easy to tell ahead of time whether the combination will work.
Making advanced multiphysics simulations and optimizations accessible through a simple web interface and AI chat agents. I’m building SimuPort (https://simuport.com ) to lower the barrier to running and iterating on complex simulations. I’m interested in hearing from anyone who has needed these kinds of simulations in practice (e.g., optimizing airflow in devices, analyzing thermal–structural interactions in prototypes) or who has experience with tools like Ansys, OpenFOAM, COMSOL, SimScale, or similar. What worked, what didn’t, and what’s still missing?
https://fooqux.com/ - an experimental tech article aggregator. For several years now, I've had a routine of collecting articles on topics that interest me throughout the week and then reading them over the weekend. To help organize and streamline this process, I created this website.
The main idea is to gather tech articles in one place and process them with a LLM — categorize them, generate summaries, and try experimental features like annotations, questions, etc.
I hope this service might be useful to others as well. You can sign up with github account to submit your articles as well. I would appreciate any feedback.
I am working on methods to automate my VC firm. We have a small team and many different tasks to do. I’ve had success with using LLMs to help us automate various projects. But I appreciate any open source tools, techniques, readings, etc. if anyone knows any!
I've been working web scraping using LLMs, I just shared one of the libraries I created to get structured data from arbitrary pages: https://news.ycombinator.com/item?id=45870231
Instead of sending the page's HTML to an LLM, Hikugen asks it to generate python code to fetch the data and enforces the generated data conforms to a Pydantic schema defined by the user. I'm using this to power yomu (https://github.com/goncharom/yomu), a personal email newsletter built from arbitrary websites.
Porting LevelDB[1] to Seastar[2], for internal metadata storage in Redpanda[3]. Before you ask why can’t something off the shelf be used, seastar has unique constraints around its runtime and its memory allocator that means we can’t reuse an existing library.
1: https://github.com/google/leveldb
2: https://github.com/scylladb/seastar
3: https://github.com/redpanda-data/redpanda/pull/28351
I'm building a better language learning Chrome extension. I wanted it to offer not just tools, but also the best Comprehensible Input practices.
Here’s what I plan to add that other tools don’t have:
- Super smooth Anki integration — saves words/sentences with full video context, native audio, screenshots, etc.
- A structured way to improve step by step.
- Real dictionaries for each language (as long as I can afford them ), not just AI translations.
What I’ve built so far:
- Word meanings in real context
- Real-time subtitle translation
- Auto detection of common collocations
- Target languages: English/Spanish/French/German/Japanese/Korean/Chinese. Native languages: English and Chinese.
If you also like learning languages through videos or podcast/audiobook, I’d love your feedback and ideas!
Decompiling Snowboard Kids 2 for the Nintendo 64! https://github.com/cdlewis/snowboardkids2-decomp
The work is mysterious but important.
Basically small data tools for myself.
A non-bloated HTML, CSS and pure Vanilla JS framework to create dashboards.
A cross-platform JSONL viewer where I am learning ImGUI. Haven’t found any other open source GUI framework that‘s small, provides out of the box components for tables, sorting
Im finalizing the Google Calendar integration for Ganttify. https://gantt-chart.com
It will allow users to fully manage their calendar in a Gantt chart. Complete with customizations like dependencies between events, custom colors for time blocks and custom icons for single-day events (“milestone”-like).
Ganttify is a Gantt chart add-on for web applications or services that can benefit from a Gantt view. My goal is to expand the number of integrations for Ganttify and release a new integration every month or so. If any of you have an interesting (niche or non-niche) idea to integrate Ganttify with feel free to contact me.
Added compression to my metal 3D printer slicer exported CAM files, and refactored the code to better support larger volumes.
Tweaking the piezoelectric driver PCB design for the micro-positing microscopy stage project. The Nanomotion piezoelectric motors were not meant to be used in the manner I chose, but it is fun to push the limits of technology.
Finishing up some custom 1U mounted hardware, and getting a batch of test PCB soon. Bend radius came back 1mm oversize, but this was acceptable for a single run item.
Also involved in several other projects maybe 3 people would care about. Doing a custom FPGA PCB is not very fun unless encountering that rare class of problem CPU/MCU simply can't handle cleanly. =3
I am working on a home-oriented solution (hardware box + software) for backups of the media files from phones. The solution facilitates having a separate backup drive (stored in a closet) in addition to the primary data drive in the box.
Hi David,
Fran here. I'm building a niche tool for designers and architects to create AI renderings in seconds with no prompting skills, no ComfyUI installs, no chasing the latest Nano-Banana, Flux, or any other GenAI image model. I called it RenderAI. Want to make it simple and fast.
We already have thousands of users, which confirms there is a real need. Still, I’d love to get honest feedback. How can we stand out? Feel free to be blunt.
Check out https://RenderAI.app if you’re curious.
Just published the Halo vision headphones [1]. Currently working on reducing parts where possible, tuning audio quality and video stabilization.
https://haloheadphones.com
Working on AI interpretability infrastructure! Starting with hallucination/failure mode detection and causal tracing in transformer-based foundation models. It's non-SAE, domain-agnostic, and works for any kind of tokens or sequence data (e.g. not just English text - biological sequences, physics data, etc). Some of our early tests indicate that this detection setup could broadly work well for any property, but we've mostly validated on hallucinations. If you have access to self-trained or open-weight models, would love to have you try out the alpha version - running it through HuggingFace!
OpenSOHO: built to manage a small number (from 2 to ~20) OpenWRT 24.10 based network devices. https://github.com/rubenbe/opensoho
I have been tinkering on a little price drop alert scraper written in Python. It's run as a cron job, and every day it checks the prices of a list of urls (my clothing staples from various outdoor retailers, mostly) and sends me an email with any products that have gone on sale.
I've been running it for over a year, but now I have fixed it up and made a little landing page to see if there's interest for a stupid-simple price watch service like this (no need to install an extension or create an account):
https://www.curiositry.com/price-drop-alert/
I've been working on a little game for my daughter to help her learn the movement of chess pieces. https://www.minichessgames.com
It's currently just a "maze" type game where you have to get to a goal square in the minimum number of moves (there are rocks placed on the board to act as obstacles)
I'm in the process of making some very simple games like battling knights where they leave poo and you try to trap your opponent.
Fun making it even if it's just the two of us who'll enjoy it :). Partly I wanted her to learn that you can create for the internet not just consume...
For the past few months, I've been building a health tracking app called LogBuddy. I got tired of using separate apps for nutrition, workouts, weight, and period tracking. So I built LogBuddy to handle all of it with a dead simple interface. That way, all the heath data I'm tracking would be in one place. Right now there's an Android APK available. If there's interest, I'll publish to the Play Store and build an iOS version too.
Would love to hear your feedback if you try it out!
Here's the github repository: https://github.com/aabiji/logbuddy
My custom poker study tools:
https://poker-study.onrender.com/
I really like the range memorization tool from GTO Wizard, but want to be able to put in custom/arbitrary ranges to test. I also want to be able to import and simplify ranges from other sites. Work in progress, but every scenario is url encoded (warning: subject to future breaking changes) and I use those urls in for links in my Anki decks.
https://github.com/nwestallen/poker-study
I suspect AI company want improved efficiencies and developing a framework that can be applied in determining the minimal-energy, maximal-efficiency architecture for ai models. Calculating the precise limits, like a Cognitive Event Horizon, where a model becomes so complicated it literally costs more energy to run than the knowledge it provides, and the Semantic Horizon, where it simply gets too complex to be accurate, etc. Lots of cool implications such as around a fundamental mathematical maximum learning rate which results in trying to get anywhere close to that that by doing stuff like aggressively filtering of the data.
A tool that detects potential signs of overwork in incident responders, which could lead to burnout. To compute a per-responder risk score, it integrates with Rootly, PagerDuty, GitHub, and Slack.
We offer both a hosted version (https://oncallburnout.com/) and a self-hosted one (https://github.com/Rootly-AI-Labs/On-Call-Burnout-Detector).
We are building https://desplega.ai which is a QA agent that help teams ship fast without compromising quality.
We focus on making it as fast as possible, integrated into CI, MCP for local dev, and support both an autonomous (we call it discovery) and guided test creation approach.
We believe that in the era of vibe-coding, quality is key, as we are lazer focus on building a solution that scales with your product, and removes the burden of QA from your team.
Technically, we built an in-house engine that is in charge of generating the tests, that speeds up and gets better the more you use it.
I'm working on some documentation for my framework/ide (https://glitter.nz). I'm thinking about all the new things I'm really hoping to add.
Currently building a service around the domain https://ScamAI.com
the service is a suite of online vetting and due diligence tools for website flippers, Fb marketplace sellers/buyers and Tiktok shoppers
The domain has an interesting backstory. I acquired if it n 2022 from Epik after they stole the $10,000 I had deposited into their Escrow service. The money was meant for acquiring a newish stable diffusion hosting website that was competing with civit.ai. When the Epik issue was discovered, the seller pulled out.
Acquiring that website could have changed my life.
I'm working on a lightweight next.js alternative named after my dog: https://github.com/davedx/dex.ts/
It's going fairly well, I'm more or less as feature complete as I want to be. I might do something addon-like at some point to make scaffolding apps with shadcn, tailwind, prisma and friends a single command. Like shadcn does with components.
Feedback welcome!
Building a docs website [1] for my speech-to-text CLI tool, hns. I use it 5-10 times daily to transcribe my voice, and a few developer friends I've shared it with have also adopted it for daily use. They like that it runs in the terminal and keeps all data local. So, felt like I should write down guides for new users to get started quickly and to highlight key use cases.
Building this documentation website using Docusaurus. This is my first time using Docusaurus, and it feels like a very nice tool for quickly developing a documentation website.
[1]: https://hns-cli.dev/
What I am working on is my masters thesis in bioinformatics supports/HPC: "Predicting the running time of bioinformatics tools", by running (initially) 5 tools 1000 times each with different parameters and then fitting a curve.
I am pretty sure I can get 70% predation rates +/- 10% . Unfortunately, I'm blocked by the lack of hardware. Kind of not-quite school affiliated (so I cannot really ask for national computing resources), so I am trying to build a single threaripper pro node on my own. Hurts the wallet, but if added to slurm as module, this can have implications.
I really missed an old mobile game that got de-listed after the devs sold it to a company that subsequently ruined it. I'm a full stack dev, not a game dev, I don't have time to learn the ins and outs of Unity so I tried to see what was feasible in the web world with Babylon.js + React + Capacitor.js and I'm pretty astounded at how well it works out.
I've been posting a bit on https://www.reddit.com/r/BlossomIdleGarden. I plan on opening up a beta later this week.
I'm working on an app to display charts, analysis, and data on English football league games.
The real goal is to figure out how to use code gen AI (Cursor) effectively for data science projects and to figure out rapid deployment. I'm pushing things a bit harder than you typically see in demo apps (e.g. different chart types (e.g. violin plots, heatmaps, line charts), interactive charts, JavaScript widgets interacting with Bokeh charts, etc).
I'm trying to figure out all the skills, processes, and training you need to build a technical app very quickly. I'm at the deployment stage now.
I'm working on Fillvisa.com - a free, browser-based tool that lets you fill complex U.S. immigration forms (like DS-160, AR-11, I-90, etc.) entirely in your browser.
It mimics the official USCIS forms but autosaves locally, validates inputs, and lets you download a ready-to-submit PDF - no signup, no uploads, no tracking.
It’s meant for travelers and immigrants who just need to fill a form once, and as a side effect, it’s become a great acquisition funnel for my paid B2B product, VisaSimplify, which helps immigration lawyers automate client intake and PDF mapping.
A custom provider for kubernetes cluster autoscaler for homelabs that lets you turn on and off the nodes without reprovisioning them.
https://github.com/homecluster-dev/homelab-autoscaler
https://autoscaler.homecluster.dev
Works with any mechanism to turn on and off nodes(IPMI, WoL...) I have some nodes that I turn on and off via a curl to homeassistant to the power plug.
Been working on a native iOS client for Bluesky. Liquid glass design, and trying to make it feel much more native than the standard client.
Been posting some screenshots to my feed, if you want to see what it currently looks like: https://bsky.app/profile/cameronbanga.com
Have about 100 spots left on my current TestFlight if anyone is interested: https://testflight.apple.com/join/RRvk14ks
I've created an AI-assisted writing platform, that doesn't generate text, but instead lends focus to human creativity, and have AI assist you instead of trying to replace you.
https://www.arcitext.com
You create a writing style via existing text examples, blog posts or URLs, and Arcitext extracts a "writing fingerprint" which it benchmarks new text against.
There's a solid Markdown Editor with tools such as Tone Fit, Rewrite suggestions and Fact Check, which helps you when you need it.
Kind of like having a writing coach and content strategist on speed dial.
I'm working as a school teacher of Computer Science for Year 6..9. Currently I develop an online collection of exercises for intro to programming.
I have exercises:
- on turtle, using my DSL with three commands: 4[100 r90] draws a square
- on robot (blockly)
- a 2D replica of Replicube to teach conditions in JS.
I've started vibe-coding it two months ago and I add new stuff whenever I need it for my classroom.
I'll soon add signups.
The platform will be free forever, monetized via banner ads somewhere in the future. The target audience is middle school teachers of CS.
https://chessnawk.vercel.app/
An OpenAPI code generation framework for TypeScript called Skmtc (pronounced like "schematic")
It handles the complexities of parsing OpenAPI and rendering output code, while providing the end user with full control over generator code via string templates.
Imagine something like React but for code generation where each code generator can compose its own output using the outputs of other generators.
https://github.com/skmtc/skmtc - https://skm.tc
A Mac-based video manager that automatically transcribes, translates and summarises videos. I process information best through reading, so I built it to manage my growing collection of training course videos, webinars and meeting recordings. Currently working on adding RAG search to make it easier to query content.
Also building a CMS and static site generator that runs entirely client side in the browser. Pick themes, model content an publish to clean HTML. It also makes content available beyond just the browser, eg in a command line TUI.
https://www.sparktype.org
Originally started in 2012, I’m (still) building log.soccer - a stat-tracking tool for amateur soccer players. This is the third or fourth iteration of the site, which until this year mostly served as a glorified résumé project to showcase the latest framework or tool I had just learnt.
Thanks to ChatGPT, my productivity went through the roof this year, and I finally shipped an MVP that might actually be useful.
It’s a standard Django + React + AWS stack. My raison d’être is to build an Apple Watch app that tracks match scores in real time. 2026 hopefully.
https://log.soccer
Using AI to predict professional sports outcomes.
https://www.exploravention.com/products/sports/
Working on https://tinythoughts.app, a self-messaging app
Today, I am implementing tag-triggered webhooks so they can get triggered based on the tags assigned to messages.
Use case: for example, I want to auto-tweet all my advice messages and auto-create linear tasks for `company` todos, auto-start a cursor agent when I tag messages with `Cursor task`
For some reason, I got 16 users out of nowhere, so I added a landing page last week. The connector marketplace is next, so that I can share these sub-connectors with the other users. Need a couple more weekends.
https://auth-email.com
OAuth is here to stay for major email providers (Outlook, Gmail, etc). Microsoft is dropping support for standard/basic authorization in April 2026, and Google has already done this. But plenty of devices and systems don't (and may never) support OAuth.
Auth-Email is a relay that lets you continue using traditional email auth methods even when your provider requires OAuth. Lots of other more advanced features too: all OAuth grant types, add-ins to modify behavior and lots more.
Being an internet radio enjoyer I was always dissatisfied with the state of radio apps. Most of them want you to pay for a subscription to be able to curate favorites and persist them. With nostr we get auth, persistence and social for free.
https://wavefunc.live
This version is a rewrite of an earlier one and I've added some cool convenience features like "now playing" and musicbrainz integration for remembering songs.
Spec, flow and most of the UI are done. I've managed to build an Android App yesterday and will publish source soon.
Hey everyone! I built a site that shows your next age milestones, all on a single page. You can see your next milestone age for each type (like your 10000th day) and save it to Google Calendar.
It looks simple, but I learned a lot building this site:
* To calculate age in planetary years, I had to look up their orbit and rotation info
* The lunisolar calendar took me quite some time to figure out (it is not the same as a lunar calendar and even changes by country)
* Adding the dog and cat age equivalents even led me to cubic splines
Link to the site: https://ageequivalent.com/
I'm working on a _boring_ business - a CRM for pilates and yoga studios (https://www.usemojo.app/en). Most tools in this space are bloated or built for gyms, not for someone juggling reformer classes, cancellations, and back-to-back privates.
It started when a friend who runs a studio showed me her system: printed calendars, WhatsApp messages from clients at midnight, and sticky notes for who paid. I'm trying to make something quieter. It should feel like an assistant, not another tool to manage.
https://github.com/superegodev/superego
An open-source, local database which collects all your personal data, hooks it to an LLM (BYO), and gives you an assistant that can answer any question about your life.
It also allows you to vibe-code (or just code) small apps on top of your data (e.g., your custom dashboard for your expenses).
I have a short demo here: https://www.youtube.com/watch?v=gqAyvENDjSA
I am working on a web app that doctors/NPs/PAs can use to automatically rewrite complicated and verbose medical progress notes. The amount of time medical providers spend on documentation is ballooning, and only a small portion that time is actually spent doing medical decision making. The rest of the time is spent incorporating (ie copy editing) data as it comes in from imaging/bloodwork/consultant advice. The goal is for the app to be:
entirely self service, without needing EHR integrations
able to persist and reuse the user's writing style, without actually saving any of the notes
HIPAA compliant (obviously)
I created a media editing app that lets you do some of the most common video editing tasks (cut, resize, compress, blend audio etc). It's browser based so your files never leave your machine and is very fast (leveraging the latest and greatest libraries such as Media Bunny).
Website => https://vididoo.vercel.app/ Github => https://github.com/btahir/vididoo
On and off working on the Navigation API for Node, Bun, Deno, & as a browser polyfill.
Has 90% test coverage, makes use of web platform tests to verify compatibility, and is in use by some larger companies already with the Navigation API soon to become a baseline in evergreen browsers.
The Navigation API effectively is async state navigations. The likes of React has recently added Navigation API support to make use of the browser reload indicator.
https://github.com/virtualstate/navigation
Along with working on a startup day to day :)
Just got a 3d printer (Bambu a1 mini) and my girlfriend brought home a whole bag of plant cuttings. Thought I would give a modular plant pot (i.e with elements that allow for expanding the pot) in fusion 360 a shot.
I’m working on an AI-powered page optimizer for SaaS & eCom sites: https://peakagent.ai
No complex setup – drop in a script, keep your existing stack
Auto-generates variants for hero, copy, CTAs, and social proof
Continuously tests and routes traffic to the best-performing variants
Optimized for key pages (pricing, signup, product, checkout)
Reports focused on conversion & revenue lift, not just clicks
Would love feedback, tear-downs, or ideas for must-have features before you’d trust this on your main pages.
PS: Deeper ad→page→revenue attribution + personalization by segment coming soon.
Onchain consumer credit (x402 “credit card”)
https://x.com/philip0x/status/1982219251479097601?s=46
Working on Astrology App - https://bestkundli.com
There have been a few astrology apps, but all require you to connect with an astrologer or a pandit. This market has been in past and today, a market of exploitation for the innocent.
So, I built this app to let people read their birth chart with detailed analysis, without any such thugs. There are a few very talented experts, but they are either very expensive or difficult to find. So, it came out of necessity.
I would love your feedback on trying it out and letting me know your thoughts.
Cheers
Building https://ottex.ai - a native MacOS app to solve repetitive micro tasks on a computer.
- Transcribe voice to text (especially useful when you need to explain something to Claude code )
- (soon) select text to instantly Check grammar / Improve writing / change tone of text
- (soon) select text to Translate between languages
I discovered that I have a few 10/20$ subscriptions (grammarly, raycast, wisperflow) that do embarrassingly simple stuff I can one shot with cheap SLM. So I decided to build a one app specialized in small repetitive tasks on computer.
I am working on a repository for AI Intent Driven Development at https://github.com/Exadra37/ai-intent-driven-development/.
An Intent is a self-contained document that describes a user request. It is composed of three main sections: WHY (the motivation), WHAT (the requirements, often in Gherkin language), and HOW (a detailed, step-by-step implementation plan defined with tasks). This approach ensures clarity and alignment before any code is written.
An AI (not LLM, but image-based one) based tool which transforms photos into visa compliant photos.
You take a selfie, pick document type (China Visa online, Green Card lottery, etc) and the tool knows what size it should be, head height, shoulders position and other requirements. AI is used to detect head position, emotions, objects and other details to provide better recommendations
Check it out and let me know what you think: https://ishotaphoto.com
I made a HN-like discussion forum for (meta)science.
https://talk.amacrin.com/
Most (meta)science discussion is either fragmented on Twitter/Bsky, or a bit too formal. I thought a centralised place for deeper, casual discussions might be helpful, so I'm testing that theory.
Launched a few days ago, so it might have some rough edges. I'm considering making it user-invite-only soon, but for now it's fully open for signup. I'll also move it to its own domain once I think of a better name.
Building an ai powered threats deception proxy. A dynamic honeypot system that uses AI to mess with attackers.
When someone tries to hack your app, it detects them and serves up fake responses designed to make them think they're getting somewhere.
The system learns from attackers behavior and serves ai generated decoys to waste their time and frustrate their efforts.
It's basically a trap that gets smarter the more attackers poke at it.
MVP version at https://github.com/0tSystemsPublicRepos/IfritProxy
Software to track wealth (net assets). All GUI. Using Delphi and compiling for macOS.
Also learning Zig. Would be cool (but a huge effort) to port Delphi’s VCL or Lazarus’s LCL to Zig and create a RAD environment.
I am building Mizu, a lightweight web framework for Go that aims to keep things simple and Go-first. Everything is written in plain Go with no hidden abstractions, and you can start with a single file then grow into a full project without changing your coding style. The name means "water" in Japanese; the framework tries to flow with your code rather than force its own patterns.
Docs: https://docs.go-mizu.dev/overview/intro
I just launched my first iOS app - yes it's a todo list app, but it's clean and simple without any clutter.
I have looked for an app that could give me exactly this for a long time but i couldn't find one i liked, so i made my own.
https://nauu.app - link to appstore inside
Let me know what you think! I would love some feedback!
Still hacking on some data tools:
DuckDB for stream processing:
https://github.com/turbolytics/sql-flow
Lightweight kafka stream processing using DuckDB as the execution engine. 300MiB runtime can easily handle thousands of messages / second.
Working on a Kafka Connect alternative:
https://github.com/turbolytics/librarian
Right now mongo replication (through changestreams) is supported to kafka. Working on Postgres support right now.
I created a RescueTime alternative for KDE Plasma. It runs in the background as a daemon and records time spent on each window in a SQLite database. Next step here would be to add a Firefox extension, since a lot of my time is spent browsing the web.
Tracking windows on Wayland is hard because the protocol doesn't support it. I hacked together a script using Claude Code that somehow works, but I barely understand how.
https://github.com/alabhyajindal/timeowl
Still capturing index of the Internet
https://github.com/rumca-js/Internet-Places-Database