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).
Vibe-coded apps ship with real security holes — leaked secrets, missing headers, open APIs. We scanned 100 and found 318 vulnerabilities. 89 critical. You built it with prompts — check it the same way. VibeWrench explains each finding in plain language and gives you a fix prompt you can paste straight into Cursor, Claude Code, Lovable, or Bolt. Not "fix your headers" — an actual instruction for your stack. 18 scans, one click. Detects your tech, adjusts checks. Free to try, no card.
VibeWrench was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #148 on the daily leaderboard. Vibe-coded apps ship with real security holes — leaked secrets, missing headers, open APIs. We scanned 100 and found 318 vulnerabilities. 89 critical. You built it with prompts — check it the same way. VibeWrench explains each finding in plain language and gives you a fix prompt you can paste straight into Cursor, Claude Code, Lovable, or Bolt. Not "fix your headers" — an actual instruction for your stack. 18 scans, one click. Detects your tech, adjusts checks. Free to try, no card.
Who hunted VibeWrench?
VibeWrench was hunted by Andrei Kniazev. 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 VibeWrench stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Andrei Kniazev