Astro Dadi
Making astrology accessible to everyone through AI
What it does
Create your free Vedic kundli from your exact birth time and place, then ask an AI astrologer about your dashas, D9 and D10 charts, and Jyotish yogas.
Your kundli, actually computed — sidereal, Lahiri ayanamsa, whole-sign houses. Then ask an AI astrologer about it, and keep asking until it makes sense. Latitude, longitude, and timezone mapping anchor chart mathematics. D1 for life structure, D9 for dharma and marriage, D10 for career karma. Chat with chart-aware context instead of one-shot static predictions. The quality of your reading starts from input quality. This guided flow removes ambiguity around date, time, and location. Whose chart is this? Use a name you'll recognise in your chart list. Get personalized guidance based on your birth chart and planetary transits. Cancel anytime. If you already have a paid plan, manage changes…from astrodadi.com
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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…
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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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