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Furnace
Check your AI-built app before users find the holes
Furnace reads your AI-built app and lists what's unsafe before launch: open routes, missing login checks, leaked keys, unprotected database tables. Fixed rules, no AI guessing. Your code stays on your machine.
Hi Product Hunt, I'm Vishwas.
I kept seeing the same story: someone builds an app in a weekend with AI, it works and looks great, and then it turns out any signed-out visitor can delete other people's data.
So I built Furnace. It's a launch-readiness checker for AI-built apps. It reads your code and gives one of three answers: READY, NOT READY, or NOT SURE YET. Every problem comes with a fix and a ready-to-paste prompt for your AI coding tool.
What it checks: login and permissions on every route, exposed secrets (including keys deleted from git history), database rules, rate limits, and dependency vulnerabilities.
What makes it different from asking an AI to review your code:
- No AI model makes the call. It uses fixed rules, so the result is the same every time.
- Your code is not sent anywhere for the code check.
- It says "not sure" when it isn't sure. A wrong "ready" is the worst outcome, so I built it to avoid that.
- I tested it on 231 deliberately broken apps. Furnace has not wrongly passed any of them. That's my own test set, not an independent audit, so treat it as a starting point.
It's an early alpha and has been tested on Windows. Linux is not verified yet.
Launch offer: the first 10 founding audits are $99 (I read your app and send you the findings). If I find nothing to fix, you get your money back. Pro is $19/month.
I'd like to know: what's the scariest thing an AI tool ever shipped in your code?
About Furnace on Product Hunt
“Check your AI-built app before users find the holes”
Furnace was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #133 on the daily leaderboard. Furnace reads your AI-built app and lists what's unsafe before launch: open routes, missing login checks, leaked keys, unprotected database tables. Fixed rules, no AI guessing. Your code stays on your machine.
On the analytics side, Furnace competes within Developer Tools, GitHub, Security and Vibe coding — topics that collectively have 568.2k followers on Product Hunt. The dashboard above tracks how Furnace performed against the three products that launched closest to it on the same day.
Who hunted Furnace?
Furnace was hunted by Vishwash Mehta. 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 Furnace including community comment highlights and product details, visit the product overview.
Vishwash Mehta