Student and developer Bouncing back after failures in creating Fillzz
summary
A student-built mobile app ingests the data.gouv.fr dataset to track fuel prices (about 8 million prices/day across 271,000 stations in 20 countries) and uses a stack of React Native, Django, PostgreSQL, Cloudflare Workers and Uptime Kuma. The talk covers operational mistakes: over-optimizing front-end (3,550 commits), launching on too many platforms, and lacking monitoring, which caused the non-scalable server to fail when a campaign drove 25,000 users in 48 hours. It explains how those failures were addressed and how the app became profitable with ~70,000 users.
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chapters (10)
- 0:00Introduction
- 1:29Project idea and data
- 3:14Student budget launch
- 4:58Major technical errors
- 7:42Scalability lessons
- 9:28Infrastructure optimization
- 10:50Multiplatform errors
- 11:53Monitoring and data
- 12:54Two-year review
- 13:15Q&A
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