Vetora Scan uses AI to hunt down vulnerabilities in modern web apps before they become incidents. Instead of generic rule-based scanning, it understands app logic — during our own dogfooding, it caught two critical Supabase RLS flaws, including one that let anyone unlock a paid report without paying. Built for developers shipping fast with Next.js, Supabase, and AI-assisted code, where security often gets skipped under deadline pressure.
Hey everyone! 👋
I'm the solo builder behind Vetora Scan. I started this after a scare on one of my own SaaS products: while testing early versions of Vetora on it, it flagged two critical Supabase RLS misconfigurations — one of which let anyone unlock a paid report without paying. That was the moment I realized how easy it is to ship fast with tools like Next.js, Supabase and AI-assisted code, and still leave gaping holes without knowing it.
Vetora Scan is built for exactly that gap: AI-powered scanning that understands your app's logic, not just generic pattern matching, so it catches the vulnerabilities that matter before they become incidents.
Would love your feedback, especially if you're also shipping fast with AI tools — what security blind spots worry you the most? 🙏
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Maker
Thanks so much for the support, Robert! 🙏 Really appreciate NextGen Tools checking out Vetora Scan. Let me know if you get a chance to try it on one of your projects — always looking for feedback from people building in this space.
Thanks so much for the support, Robert! 🙏 Really appreciate NextGen Tools checking out Vetora Scan. Let me know if you get a chance to try it on one of your projects — always looking for feedback from people building in this space.