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Tech stack
60 projects
Get AI win predictions and betting odds for professional League of Legends, Counter-Strike 2, and Dota 2 matches.
ducntq · Product Hunt
zest.win AI-powered & ML-backed predictions for eSports Dota2/CS2/LOL
See how your friends are doing in ranked — rank, LP, winrate, recent games.
@lippi304 · X
▎ I build small apps that solve my own annoyances. ▎ ▎ 🏝️ Islet — Dynamic Island for macOS ▎ 📊 rankd — live LoL rank overlay, no alt-tab ▎ ▎ Built solo with Claude Code. ▎ [ ▎ [
Data-driven sports betting picks for MLB, NBA, NHL, and NCAAB. Transparent records, proven models, sharp line movement alerts, and real-time betting analytics.
u/Mountain_Drag_5735 · Reddit
Request for feedback & beta testers - Machine-learning sports handicapping service I'm a software engineer with 10+ years of professional experience. I'm looking for human feedback on my vibe coded side project that I've been working on (after my day-job) for the better part of 6 months. Comments, questions, concerns, criticism, whathaveyou are all welcomed. https://mvpcapping.com/ submitted by /u/Mountain_Drag_5735 to r/SideProject [link] [comments]
Take swipe-based scenario quizzes to improve judgment in parenting, communication, leadership, and finance.
@ShashankBhutiy4 · X
Duolingo for Soft Skills and career growth
Conflicted tracks every player across every fantasy league you run, so you know who to cheer for in real time.
@ConflictedApp · X
For fantasy football managers who take it all too seriously 😂
Mindphor - Customer Intelligence & Competitor Watch
@realmannerd · X
Source-backed MLB market intelligence with price context and postgame auditability.
@JoeTheCode · X
Sports betting analysis showing match win probabilities, form ratings, and value as clean percentages.
@Domapfl · X
Check out what I just built with Lovable!
Analyze NFL games with devigged odds, line movements, and ten years of backtested market intelligence.
u/sebriz · Reddit
I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market
Live category leaderboards backed by verified bids and customer demand signals.
@Codex_Nerd · X
A little experiment : Want to see how people respond to industry insights and demand mixed with what's trending.
Monitor B2B leads from 12 sources, rank prospects by buying intent, and auto-draft outreach.
@MannPriteshh · X
Checkout it helps businesses find leads easily
Click whatever you're rooting for, or buy it clicks to push it higher. Real rivalry, any category.
@devamhdz · X
