MIKE VIDAL
2024–25·Solo — full stack + ML

NBA betting-intelligence SaaS — ML predictions, line shopping, bankroll tracking.

homeworkjuice
In active build
Year
2024–25
Role
Solo — full stack + ML

Overview

An NBA betting-intelligence SaaS. Backend is FastAPI + async SQLAlchemy on Postgres, with Celery workers running on Redis to ingest live game data via nba_api and to retrain prediction models (XGBoost + LightGBM) on a schedule. Surfaces line shopping across sportsbooks, bankroll + bet-history tracking, and live scores tied to open positions. React 19 + Vite frontend with TanStack Query and Recharts. Stripe-billed.

Highlights

  1. 01ML prediction stack — XGBoost + LightGBM + scikit-learn — retrained on schedule
  2. 02Async FastAPI + SQLAlchemy + Postgres backend; Celery + Redis for background workers
  3. 03Live NBA data via nba_api; multi-sportsbook odds aggregation for line shopping
  4. 04Bankroll + bet-history tracking with live scores tied to open positions
  5. 05Stripe-billed SaaS, JWT auth (python-jose + passlib)
  6. 06React 19 + Vite + TanStack Query + Recharts frontend

Stack

Python 3.12FastAPISQLAlchemy (async) + PostgreSQLRedis + CeleryXGBoost + LightGBM + scikit-learnnba_apiStripeReact 19 + Vite + TypeScript
Work
github ↗email ↗·Miami · remote-first