Gruvle Drop
Turn any file into a link people can chat with
What it does
Gruvle Drop turns any document a proposal, catalogue, report or brochure into a shareable link people can chat with. AI answers questions grounded in your content, captures leads by intent, and works as a link, QR code, or embed. Free to start.
Turn any document into a link people can chat with. Gruvle Drop answers questions grounded in your content, captures leads, and shows you exactly what people cared about.
Gruvle Drop turns any document into a link people can chat with — visitors ask questions, AI answers instantly from your content, and you see exactly what they cared about. PDF, DOCX, TXT, image or catalogue — Gruvle Drop reads it and builds an AI index in seconds. Send the link, print it as a QR code, or embed it directly on your own website. Visitors ask questions and get instant answers grounded in your content — with a clear next step to act on. Every response comes only from the content you upload — no invented pricing, specs or promises. Quote, demo, contact-sales or WhatsApp calls to action, plus qualification questions and custom fields — every lead scored by intent. One link, a QR…from gruvledrop.space
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- SDSocialFolders, "Dropbox for social"2012 · ▲187
Hey fellow HN-ers, I'd like to ask HN about my latest startup: SocialFolders. We take a Dropbox-like approach to managing your content on your social networks by mirroring all the content you have on these networks in folders on your computer. Moving this content around, between folders or between services, is mirrored in the all-mighty "cloud" (ugh, I hate this word). We'd love to know what you think. We think our approach solves the problem of managing content at scale. We put together a quick 2'30 screencast to show HN how it works: http://www.youtube.com/watch?v=4s2TFsVezZQ If you want…
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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, August 2026
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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