
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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