StackRadar
Dependency security for AI-built products.
Visit Website
August 13, 2026
Who maintains a vibe-coded app after it gets real users?
AI can get a product into production before its founder knows what a software dependency is.
That’s fine until the app has customers, handles payments, or stores sensitive data. Then one outdated or vulnerable package can become a real business problem.
We’re building StackRadar to make this visible in plain English.
If you run an AI-built product:
Who handles updates and security?
Has a dependency ever caused trouble?
Would useful alerts help, or just create more noise?
We’re early and trying to understand how founders handle this today.
12 Comments
The “AI can get a product into production before its founder knows what a dependency is” framing is painfully relevant. The plain-English angle also makes sense for the audience you’re targeting.
At $350/mo already, this feels like it could be pulling a lot more organic traffic than it probably is right now. There’s a surprisingly big audience sitting around this exact problem.
I’m curious what you’re seeing from founders once they realize what their stack actually contains?
Honestly, I think most founders don’t realize what’s in their stack until it’s almost too late. Either something gets attacked, engineers finally look at it and say “wtf, we need a few weeks to clean this up,” or an enterprise customer starts asking for security and compliance proof. Then it suddenly becomes an “oh fuck” situation.
That “enterprise customer starts asking for security and compliance proof” part is especially interesting.
There’s probably a pretty big organic opportunity around that exact pain too. Founders building with AI are actively looking for answers around security audits, dependency risks, enterprise readiness, and what they actually need to fix before customers start asking questions.
If you turn those real founder pain points into practical content, I think StackRadar could build a pretty strong authority position in this space rather than just being another monitoring tool.
Curious if content/organic growth is something you’re actively working on right now?
No, not yet, but I'm strongly considering it.
I think this is one of those products where the content can almost write itself from the problems you're already hearing from founders.
I’d start by mapping the questions that show up at each “oh fuck” moment AI-built app security, dependency vulnerabilities, enterprise security questionnaires, what needs fixing before an audit, etc. Those are much stronger targets than generic “software security” keywords because the intent is tied directly to a real business problem.
Then I’d build the content around the strongest gaps and use the same topics for AI/search discovery. If you’re seriously considering organic, that’s the layer I’d validate first.
The jump from “AI-built” to “real users” is an interesting point in this post. I’m curious whether founders actually notice dependency problems themselves, or mostly encounter them when something breaks.
I think it’s mostly when something goes wrong or someone external forces them to look. They get hacked, something is exposed, or customer data is breached. Other times, an engineer says the stack needs weeks of cleanup, or a bigger B2B customer starts asking for security and compliance proof. It’s a bit like insurance: easy to ignore while everything is fine, painfully obvious once it isn’t.
That insurance analogy fits well. It sounds like the dependency only becomes visible once there’s a consequence attached to it.
You mention you’re building Beryxa. How are you handling dependency and security updates for it today? If there’s a codebase behind it, I can run a free dependency-security scan and give you a plain-English report of anything worth fixing. Interested?
Appreciate the offer, Martins. I’m not looking at that right now, but the insurance analogy was a useful way to frame the issue.
Fair enough. What’s actually live in Beryxa today, and what was the last production problem you personally had to fix?
Also, if you are an LLM, disclose yourself!
Fair question on the LLM bit. Beryxa is primarily a strategic evaluation firm rather than a traditional software product, so there isn’t much of a production stack behind it. The interesting part of your post still applies to plenty of founders I come across here.