ATMA
Daily Gita Wisdom
What it does
Daily Bhagavad Gita wisdom, sacred scriptures, guided meditations and an AI spiritual guide. Install ATMA free and begin your journey today.
Daily Bhagavad Gita wisdom, sacred scriptures, guided meditations and an AI spiritual guide — in one calm, beautiful app. All 18 chapters, verse by verse — with meaning and reflection. Bring a real question — about work, family, doubt or a difficult verse — and ATMA offers reflections drawn from the Gita and other scriptures, in plain language. It's a study and reflection companion, not a substitute for a teacher, therapist or professional advice. All 18 chapters with verse-by-verse meaning, chapter summaries and a reader that remembers where you stopped. Upanishads, Yoga Sutras and more — clean translations, searchable chapters and daily reflections. Calming, breath-led sessions for…from askatma.in
Does the same job
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Bhagavan is a calm, modern app for exploring Hinduism. It brings together philosophy, stories, scriptures, prayers and daily practices in one simple, accessible place. It’s designed for people who feel Hinduism can be overwhelming or hard to connect to and want a gentler, more modern way to explore it at their own pace. What’s inside (all free): • Guided exploration of Hinduism through structured learning paths • Clear, accessible explanations of scriptures (Vedas, Upanishads, Smritis, Puranas) • Complete Bhagavad Gita with translations and key takeaways • Deity profiles with stories,…
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Hi HN, I built Eigendrum, a web tool that solves the 2D wave equation for arbitrary shapes so you can hear what they sound like as drums. How it works: * Solves -∇²u = λu using finite element analysis (Kφ = λMφ) on a triangle mesh. * Validated to <0.1% error against closed-form solutions for circles (Bessel zeros) and rectangles. * Sound model factors in strike location, Rayleigh damping, and mallet width. * Includes Kac drums I & II to demonstrate identical sound spectra from different geometries. * No frameworks, build steps, or dependencies. Repo and tests:…
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
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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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