izeo
Rhythmic mastery ecosystem for students.
What it does
I’m 15 years old and I built izeo.app. While most tools solve only one piece of studying (notes, flashcards, focus, or AI), izeo combines them into a single rhythmic flow:AI Smart Flow instantly converts notes into SRS flashcards with seamless vertical scrolling Supercharged Pomodoro with ambient sounds, XP, streaks & 15+ badges A personal AI tutor that learns exclusively from your own material Full progress analytics and gamification — all in one place No more app switching. Just flow.
Does the same job
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- ADAnki/Duolingo-like app using educational YouTube videos2024 · platoedu.org · ▲289
Hi HN, I watch A LOT of educational YouTube videos but wasn't forgetting a good chunk of the details because I was only really passively watching. So I made a tool that generates quiz questions/flashcards from YouTube videos, and uses spaced repetition like Anki or Duolingo to keep it in memory. Let me know if you find it cool/useful (or terrible ) or if you want to know a bit about the details!
More ai this month
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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
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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 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com