The company I work for has paid subscriptions to Lattice, Bonusly, SalesForce, Gong, Zoom, Jira, Slack, GSuite, Rippling (a YC company), OneRange and Notion.
No we aren’t going to sign a 1000 seat license to pay for a dumb AI, VC bait three person company we have never heard of.
On the other hand, even if we could replace a subscription by a vibe coded internal app, if it isn’t part of our core competitive advantage - ie “it won’t make the beer taste better” - we aren’t going to spend the effort to write it or more importantly maintain it.
While each of us have a yearly “tools and training allowance” that we can use for almost anything job related, we can’t use any random SaaS that could touch proprietary data. If it was offline sure.
> But the longer I use them, the more issues I notice with them
And that is why AI-generated SaaS apps are hype. Because a reliable SaaS is not easier to build. It is easier to launch a prototype. But building a robust, reliable app that solves a real problem in a way that is worth paying for is a completely different level of effort.
And yet, there are so many people who have never written a line of code in their life building iOS apps, web apps etc with AI tools and making more money than a super smart software engineer.
Sure these apps could have serious security issues, might have inefficient implementation etc, but in the end they are still able to provide for their families. Not saying this is good or bad, just pointing out that there are at least a few people making a living with these tools
The money in SaaS has never been folks willing/able to build it themselves
risk-tolerant early adopters care purely about your features, and are willing to figure out the rest
the bigger orgs (folks that refuse to move off legacy software) won't move until you can answer questionnaires about industry-specific integrations, security/compliance, enterprise-level support/SLAs, training/onboarding, change management, scalability/performance, data governance and management tools
When it’s not about the content returned from an online service but instead the actual automation performed by the application, doing something instead of saying something, it becomes exponentially more challenging to replicate via LLM over a weekend. That’s the distinction I think you are looking for.
For example a self hosted application that provides real time service monitoring with performance metrics and can proxy that information between other data systems versus some full stack app that provides service information from the cloud.
On the other side of the coin I do write my own apps to avoid reliance on media streaming subscriptions.
> If there is a bug, I fix it right then and there. Security? Who cares.
> Security? Who cares.
And there it is.
Would you use a vibe coded accountancy software that stores your credit card, business data, identity information in plain text on a insecure server somewhere?
I know I wouldn't at all even if I made it, there are companies that go through audits and have certifications which cannot be vibe coded.
The company I work for has paid subscriptions to Lattice, Bonusly, SalesForce, Gong, Zoom, Jira, Slack, GSuite, Rippling (a YC company), OneRange and Notion.
No we aren’t going to sign a 1000 seat license to pay for a dumb AI, VC bait three person company we have never heard of.
On the other hand, even if we could replace a subscription by a vibe coded internal app, if it isn’t part of our core competitive advantage - ie “it won’t make the beer taste better” - we aren’t going to spend the effort to write it or more importantly maintain it.
While each of us have a yearly “tools and training allowance” that we can use for almost anything job related, we can’t use any random SaaS that could touch proprietary data. If it was offline sure.
> But the longer I use them, the more issues I notice with them
And that is why AI-generated SaaS apps are hype. Because a reliable SaaS is not easier to build. It is easier to launch a prototype. But building a robust, reliable app that solves a real problem in a way that is worth paying for is a completely different level of effort.
And yet, there are so many people who have never written a line of code in their life building iOS apps, web apps etc with AI tools and making more money than a super smart software engineer.
Sure these apps could have serious security issues, might have inefficient implementation etc, but in the end they are still able to provide for their families. Not saying this is good or bad, just pointing out that there are at least a few people making a living with these tools
The money in SaaS has never been folks willing/able to build it themselves
risk-tolerant early adopters care purely about your features, and are willing to figure out the rest
the bigger orgs (folks that refuse to move off legacy software) won't move until you can answer questionnaires about industry-specific integrations, security/compliance, enterprise-level support/SLAs, training/onboarding, change management, scalability/performance, data governance and management tools
When it’s not about the content returned from an online service but instead the actual automation performed by the application, doing something instead of saying something, it becomes exponentially more challenging to replicate via LLM over a weekend. That’s the distinction I think you are looking for.
For example a self hosted application that provides real time service monitoring with performance metrics and can proxy that information between other data systems versus some full stack app that provides service information from the cloud.
On the other side of the coin I do write my own apps to avoid reliance on media streaming subscriptions.
> If there is a bug, I fix it right then and there. Security? Who cares.
> Security? Who cares.
And there it is.
Would you use a vibe coded accountancy software that stores your credit card, business data, identity information in plain text on a insecure server somewhere?
I know I wouldn't at all even if I made it, there are companies that go through audits and have certifications which cannot be vibe coded.