GoVideo
Drop a video, get a link. Or just ask your agent.
What it does
Drop a video in, get a link that plays anywhere, plus an embed. Go live from your browser or OBS and keep the recording. Add your colours, a watermark, a cover, and chapters — typed or AI-suggested. And all of it works from an AI agent: GoVideo ships an MCP server, so Claude Code, Cursor or VS Code can upload, encode, embed and style for you. No API key to paste, you sign in once in a browser. Free while in preview.
Upload a video or go live and get a link that plays on any phone, laptop or TV, plus an embed. No encoding setup, nothing for viewers to install. Drivable by AI agents over MCP.
Your site, your player, your brand. No ads, nothing pulling viewers away. Plays smoothly on any phone or TV, recorded or live. An AI agent can do the whole thing over MCP. Colours, chapters, captions and thumbnails stay editable after upload. No re-encoding, no new link. One per part of the video: where it starts, where it ends, what it’s called. Or let the AI suggest them once the video is with us. One cue per line: when it starts, when it ends, what it says. Your video comes with you. Sign in and it uploads from there. Upload a file or go live. Both give you a link and an embed. One line of HTML and the video plays inside your own layout. Your heading above it, your words under it,…from govideo.stream
Does the same job
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- MAMake AI motion videos with textFeb 2026 · framecall.com · ▲6
Saw the remotion claude skills launch earlier, and honestly even though I was surprised how decent some of the results turned out to be I ended up never trying it out with claude code because I knew I'd have to setup remotion, bundler etc and if I was already doing it once I thought I might as well turn it into a site where anyone could just write messages and get a video without any prerequisites. I also know Claude Code is not something everyone has and setting up remotion is a pain. And one of the biggest lessons I learned from this whole experience is that Opus is actually not that good…
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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 · 16d 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 · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
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…
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.
AI · 16d ago · simedw.com