This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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?
No comment highlights available yet. Please check back later!
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.
ReconAlert — Attack Surface Monitoring was featured in Developer Tools (520k followers), Artificial Intelligence (479.4k followers) and Security (2.9k followers) on Product Hunt. Together, these topics include over 214.5k products, making this a competitive space to launch in.
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.
Want to see how ReconAlert — Attack Surface Monitoring stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Toan Nguyen