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Sentrint
Security for non-technical founders building with AI
Sentrint scans the repository behind your AI-built app to surface exploitable security risks and guide you to a fix. It analyzes secrets, database access rules, dependencies, and risky code paths, then uses an AI layer to cut false positives and draft a platform-specific fix prompt for tools like Claude, Gemini, Cursor, and more. Reports grade your risk, explain each finding in plain English, and verify improvements across rescans, with strict privacy and ephemeral scanning enforced.
Hey, I'm Gourab, I built Sentrint after noticing the same mistakes over and over in apps built with Lovable, Bolt, v0 and Cursor: Supabase keys sitting in plain client-side JS, row-level security nobody turned on, dependencies nobody's touched since the AI wrote them. It's not just my impression, Symbiotic Security scanned 1,072 vibe-coded apps in June and found 98% had at least one flaw, and SupaExplorer separately found 11% of indie-launched apps leaking their database keys straight in the frontend. So I built the scanner I wanted to exist: point it at your GitHub repo, read-only, nothing pushed or changed, and your code gets cloned into an ephemeral, single-use instance that exists only for your scan and gets destroyed the moment it finishes, nothing sits around on our servers afterward, and you get back a plain-English report with your real score, every finding, and a fix written as a prompt you paste straight back into whatever AI tool built the thing. No terminal, no security background needed, and the free scan isn't a teaser, it's the whole scan, no card required. If you've shipped something with AI and never had it actually checked, I'd like to hear how it goes, run one and I'll walk through the results with you.
About Sentrint on Product Hunt
“Security for non-technical founders building with AI”
Sentrint was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #133 on the daily leaderboard. Sentrint scans the repository behind your AI-built app to surface exploitable security risks and guide you to a fix. It analyzes secrets, database access rules, dependencies, and risky code paths, then uses an AI layer to cut false positives and draft a platform-specific fix prompt for tools like Claude, Gemini, Cursor, and more. Reports grade your risk, explain each finding in plain English, and verify improvements across rescans, with strict privacy and ephemeral scanning enforced.
On the analytics side, Sentrint competes within Developer Tools, GitHub and Security — topics that collectively have 563.3k followers on Product Hunt. The dashboard above tracks how Sentrint performed against the three products that launched closest to it on the same day.
Who hunted Sentrint?
Sentrint was hunted by Sentrint. 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.
For a complete overview of Sentrint including community comment highlights and product details, visit the product overview.
Sentrint