Joel Andriyas - AI First Developer

Launch Thread — LetMeCheck.ai x FinTechCo Case Study

Hey Product Hunters 👋,

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.

⚠️ The Scary Moment

FinTechCo’s app sailed through QA and delighted hundreds of SMB users—until they onboarded a 7-figure enterprise client with 10× more data.

Result? Transaction pages crawled, then froze. The new client gave a blunt ultimatum: “Fix it in days or we walk.”

🔎 What We Did

  • One-click scan: Pushed the repo into LetMeCheck.ai.

  • Immediate findings:

    • 700 + critical code smells

    • Transaction handler with cyclomatic complexity > 50

    • Hidden loop that collapsed under big payloads

  • Rapid refactor: Broke logic into smaller services, added pagination, optimised DB calls.

  • CI gate: Block any merge that raises complexity or drops the quality score.

🚀 Results (72 h later)

⏱️ Page Load 30 s to 1.2 s

🐛 Critical Smells 700 + to < 50

😰 Churn Risk High to 0

✅ 96 % faster pages

✅ Zero downtime, deadline crushed

✅ Enterprise contract saved → 4× annual revenue boost

✅ Code-scan rule now baked into their CI

“Joel surfaced the exact performance landmines we couldn’t see in manual reviews.” — Lead Engineer, FinTechCo

💡 Why It Matters

  • Scales with you: Passes the “10× data” test long before production.

  • Minutes, not days: Actionable findings ranked by business impact.

  • Peace of mind: Merge gate stops regressions automatically.

🔗 Try the free scan — point LetMeCheck.ai at a public repo or request a private invite.

💬 I’d love your feedback, war stories, or questions below!

Happy hunting!

— Joel (🏋️ cloud architect, vibe coder, founder)

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