
NHL Pulse
Real-time NHL scores, AI match predictions, and goal alerts.
What it does
Why choose NHL Pulse? 🏒 LIVE SCORES & REAL-TIME UPDATES Get instant access to live scores, active game clocks, and detailed period information 🤖 AI-POWERED MATCH PREDICTIONS Our advanced AI engine analyzes team power rankings, home-ice advantage, and league-wide scoring trends. 🔔 SMART CUSTOM NOTIFICATIONS ⭐ FOLLOW YOUR FAVORITES Personalize your experience by following your top NHL teams. 📊 NHL STANDINGS Track division and conference standings in real-time to see where your team ranks.
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- IBI build a Fantasy NHL app in 3 days with Claude AI2025 · ▲35
I am not from North America, and moved there a couple years ago. After being invited to the first fantasy league and seeing the platform they were using, I couldn't bring myself to check it every day. An excel sheet would have been more appealing to use than this. So I decided to create my own. But on the side? This would take ages. I am very confident with Rust and JavaScript, but it still takes ages to build something like that. Good prompts, and a few long nights later, and I could create something fun and easy to use. Have a look: https://fantasy-frontend.fly.dev/ The…




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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com

