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Trust
The security scanner built for vibe coders
Most AI-generated apps ship with leaked API keys, broken auth, and unsanitized inputs nobody ever reviewed. Trust scans your live URL or GitHub repo in 5 minutes running real DAST + SAST + Gitleaks, then turning findings into Claude-powered fix suggestions you can paste straight into Cursor. We also ship an MCP server, so Trust runs inside Claude Code itself, ask "scan this before I deploy" and it just works. Built because we kept shipping vibe-coded projects without auditing a single one.
Hey!
I'm a founder who fell in love with Cursor and Claude Code. In ~6 months I shipped 4 side projects without doing a single real security review.
Then I actually looked at what I'd built. Hardcoded API keys committed to a public repo. Auth flows with zero rate limiting. CORS wide open on a payment endpoint. The AI never warned me. The deploy never stopped me. The scary part wasn't the bugs, it was that I had no idea they were there.
So we built Trust.
- Point it at a URL → real DAST scan in ~5m
- Point it at a GitHub repo → SAST + secrets + dependency scan across the whole tree
- Every finding gets a Claude-powered fix you can paste straight into Cursor
- An MCP server so Claude Code / Cursor can call Trust without leaving the editor
Would genuinely love feedback from anyone who's ever shipped something AI-generated and quietly wondered if it was safe to.
We're here all day to answer questions, and roasts are welcome, especially from real security folks.
About Trust on Product Hunt
“The security scanner built for vibe coders”
Trust was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #149 on the daily leaderboard. Most AI-generated apps ship with leaked API keys, broken auth, and unsanitized inputs nobody ever reviewed. Trust scans your live URL or GitHub repo in 5 minutes running real DAST + SAST + Gitleaks, then turning findings into Claude-powered fix suggestions you can paste straight into Cursor. We also ship an MCP server, so Trust runs inside Claude Code itself, ask "scan this before I deploy" and it just works. Built because we kept shipping vibe-coded projects without auditing a single one.
On the analytics side, Trust competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Trust performed against the three products that launched closest to it on the same day.
Who hunted Trust?
Trust was hunted by Jaden. 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 Trust including community comment highlights and product details, visit the product overview.
Jaden