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ReconAlert — Attack Surface Monitoring
Find the security holes in your vibecoded app before hackers
You shipped an app fast with Cursor, Lovable, Bolt or v0 — but AI code generators leave real holes: a Stripe key in your JS bundle, a Supabase table with no Row-Level Security, an open Firebase database. ReconAlert scans your live app for exactly these — it reads your actual JS bundle (not the empty shell a URL scanner sees), tests whether your Supabase RLS actually protects your data, and finds leaked keys, each with the one-line fix. Free to start.
Hey PH 👋 I'm a security engineer, and I kept seeing the same thing: AI-built apps ship fast and leak quietly. A Supabase table left world-readable. A service_role key in the frontend. A Stripe secret sitting in the JS bundle — findable with View Source.
So I built ReconAlert to catch exactly those. It reads your app's real JavaScript bundle (not the empty shell a URL scanner sees), tests whether your Supabase Row-Level Security is actually protecting your data (read-only, using your own public key), and flags leaked secrets — each with the exact one-line fix.
It's free to run on your own domain: reconalert.io/ai-apps
Would genuinely love feedback from anyone shipping apps with Cursor / Lovable / Bolt / v0 — what's bitten you?
About ReconAlert — Attack Surface Monitoring on Product Hunt
“Find the security holes in your vibecoded app before hackers”
ReconAlert — Attack Surface Monitoring was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. You shipped an app fast with Cursor, Lovable, Bolt or v0 — but AI code generators leave real holes: a Stripe key in your JS bundle, a Supabase table with no Row-Level Security, an open Firebase database. ReconAlert scans your live app for exactly these — it reads your actual JS bundle (not the empty shell a URL scanner sees), tests whether your Supabase RLS actually protects your data, and finds leaked keys, each with the one-line fix. Free to start.
On the analytics side, ReconAlert — Attack Surface Monitoring competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how ReconAlert — Attack Surface Monitoring performed against the three products that launched closest to it on the same day.
Who hunted ReconAlert — Attack Surface Monitoring?
ReconAlert — Attack Surface Monitoring was hunted by Toan Nguyen. 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 ReconAlert — Attack Surface Monitoring including community comment highlights and product details, visit the product overview.
Toan Nguyen