← Latest products

I made a machine learning model to predict 66.45% of NBA games

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance. Introducing DeepShot: An NBA Game Prediction Model Hey devs, sports fans, and data nerds!

Open source

174 stars · GitHubexternal site

Visit github.comexternal site

Reactions (1)

Similar products

by description similarity

  1. Hooper

    hooper.gg

    AI-driven stats and highlights for basketball play

    Hacker News124 pts

  2. Marvin 2.0

    factsmachine.ai

    a lightweight, multi-modal AI toolkit

    Hacker News20 pts

  3. Extending LLM SVG generation beyond pelicans and bicycles

    gally.net

    Inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I used Claude, Claude Code, and OpenRouter to get SVGs from six models for thirty similar prompts.

    Hacker News16 pts

  4. MIRA

    mira-wm.com

    Multiplayer World Model Trained on Rocket League

    Hacker News12 pts

  5. Predict GPT-5 skills with a community AI benchmark

    news.ycombinator.com

    I’m Andrew, co-founder of Recall.

    Hacker News13 pts