Hey Product Hunt! 👋 I'm Selemon, and I'm super excited to launch GameFocus AI today! 🏀 The Story Behind It I've always loved three things: building SaaS products, basketball, and diving deep into statistics. About a year ago, I thought why not combine all three? So while working my day job, I spent nights and weekends building GameFocus AI. ❓ What problem does it solve? Most sports prediction tools are black boxes. They give you a number but don't explain the reasoning. I wanted to build something transparent that actually teaches you about statistical analysis while giving you useful insights about NBA players. ✨ What makes it special? 1. Transparency First: Every prediction shows you the full methodology, confidence intervals, and explains the AI's reasoning in plain English 2. No Subscriptions: I hate subscription fatigue. Buy credits when you need them ($4.99-$59.99), they never expire. Plus everyone gets 1 free prediction daily, forever. 3. NBA-Only Focus: We don't try to be everything to everyone. We go DEEP on NBA understanding team dynamics, player matchups, and basketball-specific factors 4. Educational: We have tutorials and blog posts teaching you about probability, statistical analysis, and how to interpret data 🎓 What I learned building this: - Integrating the NBA API is... interesting (rate limiting is real!) - Building AI explanation systems that are actually useful, not just buzzwords - The importance of mobile-first design for sports fans - How to balance simplicity with powerful features 🙏 I'd love your feedback on: - Is the pricing clear and fair? - Would you find the educational content valuable? - What other NBA stats would you want to see? - How can we make the AI explanations even better? Thanks for checking it out! Happy to answer any questions about the tech stack, design decisions, or anything else. P.S. - The first 50 hunters to sign up today get 5 bonus credits on me! 🎁

GameFocus AI

AI-powered NBA player prop - transparent & educational

AI-powered NBA player prop - transparent & educational