
Instaknow
AI study companion that helps students focus and learn
What it does
Instaknow is an AI-powered study companion designed to help students stay focused, study consistently, and understand difficult topics more easily. The idea started from a problem: students often want to study, but distractions and lack of guidance make it difficult. Right now, Instaknow has: AI teachers that explain topics and answer questions Practice quizzes to test understanding Study reminders to build better habits Focus mode to reduce distractions while studying
Does the same job
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StudyBro AIJul 2026 · study-bro-ai-studybro.vercel.app · ▲6Your AI-powered study companion for smarter learning


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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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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


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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…
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Dev tools · May 2026 · github.com