Forth MCP – give any remote AI client access to your local MCP servers
Forth MCP is a hosted relay that gives Claude, ChatGPT, or any MCP client secure access to your local, NAT
What it does
Forth MCP is a hosted relay that puts your local, NAT'd, or firewalled MCP servers behind a single secure URL. No port forwarding. No VPN. No exposing your machine. Install one lightweight connector, and any MCP-speaking AI client can call your tools from anywhere. No infrastructure to manage. The connector runs quietly in the background as a service. One binary, installed as a background service on Windows, macOS, or Linux, straight from your dashboard. One token authenticates every local MCP endpoint you add, npx package or plain HTTP address. Point any MCP client at your Forth MCP URL and API token. It just works, wherever your machine is. Built for real fleets of tools, not just a…from forthmcp.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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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