Thank you to all the early adopters and brave builders who trusted us with your code.
We believe the best way to build is in public, with feedback at every step. Many of you shared that our AI code analysis isn t deep enough yet and we agree.
After 15+ years of working behind the scenes as a CTO, helping startups and founders ensure their code was scalable, secure, and clean I finally turned that expertise into a product: LetMeCheck.ai
Building LetMeCheck.ai has been a wild solo journey but one thing became clear early on: real user feedback is worth more than any feature I could dream up in isolation.
After launching my MVP, a few early adopters reached out with honest feedback about login friction, scan failures, and the need for multi-repo support. Some bugs hurt. But each one helped me dig deeper, refactor code, and rethink the UX.
🔥 LetMeCheck.ai — Code Quality Insights You Can Actually Trust
LetMeCheck.ai helps founders, CTOs, and tech leads quickly understand the health of their codebases — before they hire an agency, merge a pull request, or pitch investors.
I m Joel, maker of LetMeCheck.ai. Instead of talking theory, Before launching the product as SaaS I used it for dedicated clients. I wanted to share a real-world win that shows why automated code scans should be in every team s tool-belt.