Hi DEV community! š
Iām Paul, an international truck driver by day, and a solo maker by night. I just launched Statlyzer, a transparent football data analytics engine, and I literally built the entire backend architecture directly from the cabin of my 40-ton truck during my mandatory highway rest breaks across Europe. šš»
š ļø The Tech Stack & Architecture
I wanted to build something extremely robust that doesn't lag on mobile devices despite running heavy math.
- Database: PostgreSQL hosted on Supabase. (Migrated away from Firebase to handle complex relational queries cheaper and faster).
- The Engine: It runs high-iteration Monte Carlo simulations, Poisson distribution, and Dixon-Coles models.
- The Output: Raw probability percentages for variables like 1X2, Over/Unders, corners, and cards across global fixtures.
š The "Past Analyst" Feature
The sports prediction market is full of fake gurus hiding their losses. I built Statlyzer to be 100% transparent. The app automatically logs and publicly archives every single AI prediction from yesterday against the real-world results. If the mathematical model misses, it stays on the dashboard for everyone to see. No deleted data.
š” The Model
It's a freemium app. Every user gets 2 Free Credits daily to fully analyze any 2 matches. For power users, I integrated Stripe/Paddle for subscriptions.
I would absolutely love for you guys to test the web demo and try to break it. Give me your brutal feedback on the database responsiveness and the UI!
š Web Demo: [app.statlyzer-studio.com]https://app.statlyzer-studio.com/
š Official Site: https//statlyzer-studio.com
Thanks for reading, and I'll be answering questions in the comments as soon as I park the truck!
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