launchworthy

# launchworthy A production readiness audit for apps built fast with AI. If you shipped something with Lovable, Bolt, v0, Cursor, or Claude Code and it works on your screen, this finds the gaps between "it works for me" and "real users are paying for this and nothing is on fire." It produces a scored scorecard and a prioritized punch list with specific file paths and exact fixes. The framework is stack-agnostic. It auto-detects your framework and backend and adapts every check to what you actually use. ## Who this is for AI coding tools are great at making things that work in a demo. They are quiet about what only bites you in production: a Supabase table with row-level security turned off, an API key baked into your frontend bundle, no rate limit on the endpoint that calls a paid AI model, no backups, no idea whether a second user can read the first user's data. This audit surfaces exactly that, before a stranger finds it for you. ## The 5 domains The audit walks five domains. Each contains concrete checks with severity tags. The full check list lives in [references/checklist.md](references/checklist.md). | # | Domain | The question it answers | |---|---|---| | 1 | Frontend & Experience | What do users see when things go right, and when they break? | | 2 | Backend & Data | Does the engine hold up: APIs, database, jobs, and data flow? | | 3 | Auth & Security | Are the wrong people kept out, and are the bills safe from abuse? | | 4 | Infrastructure & Deployment | Can yo...