ScribeHawk — Transcribe Anything.
Transcribe any YouTube video or podcast in minutes with AI
What it does
ScribeHawk turns any YouTube video, podcast, or interview into a full searchable transcript powered by Whisper AI. Paste a URL. Get a transcript. One click to format as a blog article, speaker-labeled dialogue, or clean text. A 2-hour video transcribes in ~15 minutes. Free tier, no credit card required. Also available on Telegram via @PriceEaglebot. Pricing: Free (1/day), Basic $5/mo (10/day), Pro $15/mo (50/day, all formats).
Does the same job
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Hey HN! Built this because I was tired of waiting hours for transcription services and didn't want to upload sensitive recordings to the cloud. Real metrics from my M1 Max: 4.5hr video file transcribed in 3 minutes 32 seconds. Works completely offline. First 5 HN users who click the button on the page get it free. Literally promo code straight to the app sore Key differences vs Rev/Otter: - No 2-hour file limits (handles any length) - Timecodes stay accurate on long files (no drift from chunking) - Supports MP3, WAV, MP4, MOV, M4A, FLAC - Exports to SRT, VTT, JSON, PDF, DOCX, CSV,…
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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, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
