I made a metabolic coach chatbot for weight loss
Hi HN, I made a metabolic AI coach to help people with their weight loss and metabolic challenges. In testing with about a dozen people, they have been impressed with how well it figures things out and its surprising insights. I'm surprised, too, at how good it gets compared to typical responses people would ask vanilla chatbots and how positively people are responding to it. https://coach.patchworkfood.com/ Happy to hear feedback or ideas!
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MikeAI - Personalized AI Fitness Coach2023 · ▲102Get in shape - take your fitness journey to the next level
- IFI feed all my daily entries to an AI (ChatGPT)2023 · ▲8
Hello there! I hope you're doing well today! I wanted to share something with you. Recently I was on the hunt for the best way to journal daily. Well, I had this idea - what if I could feed all my daily entries to an AI (ChatGPT), and create a friendly, supportive character like Socrates or Simon Sinek? This way, I could ask any questions about my life and mental health, and get some amazing advice on how to improve myself! The results have been absolutely mind-blowing ! I even made a short GIF to show you how it works - check it out! - https://gifyu.com/image/SdHLH I've…
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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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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
Launched alongside, May 2025
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Life & fun · 2025 · felixrieseberg.github.io
