ScriptHaul
Every transcript from a YouTube channel, in one ZIP. Free.
What it does
Paste a YouTube channel, playlist, or video. Get every available transcript back as clean files — TXT, SRT, VTT, Markdown for Obsidian/Notion, or timed JSON for AI pipelines — in one ZIP with a manifest that says exactly what worked and what didn't. No account, no install, free. Cached transcripts return instantly; big channels continue 500 videos at a time.
Free bulk YouTube transcript downloader. Paste a video, playlist, or channel and get every caption as TXT, SRT, VTT, Markdown, or JSON files. No account.
Bookmark us for fast reference — transcripts are one paste away. Paste one public video, playlist, or channel. Every available caption comes back as clean files. Works with videos, playlists, and whole channels — 500 videos at a time, newest first. If a video has no captions, your report says exactly why — nothing is silently skipped. Practical Skills/ ├─ transcripts/ │ ├─ 2026-05-02 - How to learn │ │ anything faster.txt │ ├─ 2026-04-18 - The long-form │ │ interview.txt │ └─ … 236 more ├─ manifest.csv └─ manifest.json Filenames stay clean. The manifests keep the details — per-video ID, caption track, status, and why anything is missing. Nothing fails silently. A representative layout with…from scripthaul.com
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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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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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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 · 17d ago · simedw.com