Dropframe
Ask your AI to deploy. Get a link back.
What it does
Your AI can write the app. It can't publish it. Dropframe is the missing "publish" button — one call, one link, zero setup.
Your AI builds it. Dropframe hosts it. Free LLM-native web hosting via MCP. Deploy from Claude in under a second.
Dropframe turns your AI's HTML output into a live URL in under a second — no account, no config, no DevOps. Build any web app with Claude, ChatGPT, or any LLM. Get an HTML file or paste the output. Paste the HTML above or let the MCP tool handle it automatically from your AI conversation. Get a live URL at *.dropframe.run . Share it, embed it, iterate. Give your AI assistant direct deployment abilities using Model Context Protocol (MCP). Works with Claude, Grok, Mistral, ChatGPT, Cursor, Windsurf, VS Code, and Antigravity. Add Dropframe directly in your browser as a custom MCP connector or developer app. Go to Settings → Connectors → Add custom connector . Server URL:…from dropframe.run
Does the same job
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- MNMy new SaaS side-project, after years of open source2018 · ▲229
Hi guys, I've created an open source web builder framework (https://grapesjs.com) years ago, which I'm still maintaining, and now I'm excited to publish a side project based on it, Grapedrop (https://grapedrop.com). It's a simple web page builder which allows you to design and publish your web pages very quickly. The project is still in beta with a lot of stuff to improve but I'd really like to share it and hear what people think about it and maybe also get some constructive feedback.
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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…
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 · 17d ago · simedw.com