You built your app with AI but is it safe, fast, and bug-free? That's where VibeScan comes in. Upload your code. Find all the problems. Fix issues with one click. Ship AI code with confidence!
Ship AI code with confidence.
You built your app with AI but is it safe, fast, and bug-free? That's where VibeScan comes in. Upload your code. Find all the problems. Fix issues with one click. Ship AI code with confidence!
👋 Hey Product Hunt! We're all using AI to build products, but how do you make sure that your AI-generated code is secure, fast, and bug-free? Verifying and double-checking everything manually requires a lot of time and technical expertise. ✨ VibeScan looks through ALL of your code and finds: Security vulnerabilities, Performance bottlenecks, Code quality issues, Launch blockers ... with one click! Every finding comes with AI-ready fix prompts and simple problems can be fixed automatically! Zero
🌟 An idea: With so many new AI apps, features, and products flooding the scene, there is real fatigue around stacking another ~$20 per month subscription. I have several apps that only needed the final polish AI now makes simple, like cleaner and more appealing frontends. A usage-based credits option (that covers your expense+) or $5 one-time use or one-app scan option could lower the barrier, prove the value quickly, and create the stickiness that keeps people coming back. :)
Congrats on the amazing launch! Looking forward to using it!
Hey, Really cool product, was wondering how would you differnetiate yourself from other companies in the security space like semgrep, snyk etc?
Hey, How do you make sure if you make a change it wont bug something else out?
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.