VidBrief
Read a 1-hour YouTube video in 30 seconds with AI
What it does
VidBrief turns any YouTube URL into a TL;DR summary, clickable chapter outline, full transcript, and a chat that grounds every answer in a [mm:ss] timestamp — under 30 seconds. Every video is indexed into a personal knowledge base. Free tier, no card.
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- LLLanguage Learning from YouTube content2025 · fluentsubs.com · ▲40
Hi! I'm living as an expat in France and I had a hard time following the news. So I've been working on Fluentsubs that turns YouTube content into a language learning experience. YouTube videos up to 20 minutes can be transcribed and listened to. At the same time I made it easy to lookup certain words and automatically add spaced repetition cards using the given context. This means that you can also rehearse with a real voice and not with AI dubs. This works especially well for the somewhat smaller languages that have a small track on Duolingo, and now are desperately looking for content…
- HIHow I made AI watch YouTube for me!2023 · medium.com · ▲17
Hey friends! We built an AI app to make it easy for you to consume long YouTube videos This app converts videos to short blog posts with a Python app powered by Langchain and EvaDB: https://github.com/yulaicui/youtube_video_qa Here's an 3 minute blog post based on an 8-hour video from MindsDB AI Developer Convention 2023: https://medium.com/evadb-blog/ai-generated-summary-of-mindsd...
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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 · 18d ago · simedw.com
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AI · 19d 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
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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…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com