Fast AI Work
AI automation to save time and grow your business
What it does
Fast AI Work helps entrepreneurs and businesses use AI to save time, reduce repetitive work and improve productivity. Our goal is to make artificial intelligence and automation practical and accessible, helping users create smarter workflows and spend more time growing their business. Discover a smarter way to work with AI.
Escribe el tema y Fast AI Work monta el vídeo: guion, voz, B-roll, subtítulos y música. Presets por canal, miniaturas y descripciones optimizadas.
Escribe de qué va tu vídeo y Fast AI Work escribe el guion, le pone voz, busca el B-roll, quema los subtítulos y le añade música. Tú descargas el MP4 y lo subes. Suele estar listo en menos de un minuto. Se pide tarjeta para empezar la prueba. Si cancelas antes de los 5 días, no se te cobra nada. ¿No tienes guion? Escribe de qué quieres hablar y la IA lo redacta en el tono de tu canal. Vertical 9:16 o horizontal 16:9, duración, posición de los subtítulos, música y marca de agua. La plataforma pone voz, busca el B-roll, quema los subtítulos y te devuelve el vídeo listo para subir. Escribe de qué quieres que hable tu próximo vídeo y mira el guion que escribe la IA. No pedimos correo, ni…from app.curiosfera.net
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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.
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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
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Life & fun · 10d ago · louisabraham.github.io


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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