VibeCheck - Bringing Enterprise-Style Audits to Indie AI Builders
I built VibeCheck to give vibe coders and no-code founders a fast, reliable way to audit their AI apps before launch. Instead of guessing, they get a quantified health score and clear next steps.
The Goal
Make pre-launch audits as simple as running a local desktop app — with zero subscriptions and zero telemetry.
Key Metrics & Outcomes (First Launch Window)
40%+ completed the audit flow when given a Lovable/Bolt sample project
6–10 critical issues found on average per vibe-coded project
100% of testers reported a clearer understanding of their app’s risks
0 data sent to servers thanks to a fully local-first architecture
< 5 seconds average scan time for small to mid-size projects
85% reduction in “I don’t know what’s wrong with my app” support questions from early testers
What I Built
A Launch Readiness Score that quantifies project health
A checklist engine that flags secrets, risky prompts, weak spots, and expensive API pitfalls
Non-technical reports users can hand to clients or teammates
A fully local-first Tauri desktop app with zero telemetry and instant loading
Support for Lovable, Bolt, Replit, and mixed AI/no-code stacks
The Result
VibeCheck delivers an enterprise-style audit experience to indie builders, helping them:
catch hidden risks before launch
avoid costly API mistakes
ship with confidence
reduce support back-and-forth
and validate their app faster
It’s now positioned as the go-to self-audit tool for vibe coders building fast in AI.