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Vetora Scan
AI-powered vulnerability scanning for modern web apps
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? 🙏
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.
About Vetora Scan on Product Hunt
“AI-powered vulnerability scanning for modern web apps”
Vetora Scan was submitted on Product Hunt and earned 2 upvotes and 2 comments, placing #59 on the daily leaderboard. 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.
Vetora Scan was featured in SaaS (44.1k followers), GitHub (41.4k followers) and Security (2.9k followers) on Product Hunt. Together, these topics include over 90k products, making this a competitive space to launch in.
Who hunted Vetora Scan?
Vetora Scan was hunted by Amin mekhanteur. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Vetora Scan stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Amin mekhanteur