Ship It First, Fix It Later: How a Medical Crisis Led to a Global Tool
summary
A niche G‑tube rate calculator starts as 71 lines of JavaScript and becomes a production React + TypeScript PWA with Tailwind, offline support, Supabase auth, and AI-assisted code generation (Claude provides ~70% of scaffolding). It records 4,000 users and 38,000 events, with 1,286 of 1,436 visits in one month from organic search. Built features include a three‑field calculator, feed logs, a local database of ~70 verified enteral formulas plus OpenAI search fallback, BMI‑based rate suggestions, and device‑synced user logs.
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chapters (10)
- 0:00Introduction
- 3:24Medical problem solved with code
- 7:16First release and feedback
- 9:21Migrating to React
- 13:30AI as a tool
- 15:57Iterating and expanding
- 16:19Personal story behind project
- 18:45Sebastian’s medical journey
- 21:13App born in hospital
- 22:15Closing and thanks
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