Veritas
Tarot, astrology and numerology made personal
What it does
Most self-discovery apps focus on a single system or generic daily content. Veritas brings personalized tarot readings, natal charts, horoscopes, numerology, Destiny Cards and compatibility into one private, beautifully designed mobile experience. Each insight uses your profile and question to provide relevant guidance, while saved results help you revisit patterns over time.
See your day more clearly with personalized astrology, tarot readings, birth charts, numerology, and compatibility insights in the Veritas app.
Personalized daily guidance, birth charts, tarot readings, numerology, and relationship compatibility — shaped around you. Veritas brings multiple traditions into one considered experience, so every insight starts with your story — not a broad category. Draw a daily card or explore a deeper spread. Thoughtful interpretation helps you see a question from a new angle. See where rhythms align, where communication needs care, and what helps a relationship grow. Move beyond your Sun sign with a detailed birth chart built from the planetary positions at your birth. Add your birth details once. Veritas uses them to make every experience more personal. Explore today’s guidance, ask the cards,…from getveritas.app
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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…
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Life & fun · Aug 2026 · toneyalexander.github.io
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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