Wave Code
AI Coding Agent for ₹0. $0. €0. £0. ¥0. Forever.
What it does
Wave Code brings a new model to AI coding agents: instead of paying for a subscription, you watch ads and the agent codes for you.Get modern AI models, multi-file editing, terminal access, debugging, MCP, Skills, Subagents, long context, and more. No expensive monthly plans or subscriptions. Just Watch Ads → Code → Build for ₹0 / $0.🚀
Wave Code is a free AI coding agent for developers. Code, debug, refactor, run terminal commands, edit multiple files, and ship software on Windows, macOS, and Linux.
Code, debug, refactor, and ship software with a full AI coding agent. Delegate research, debugging, planning, and implementation work. Read, edit, search, run commands, fetch web content, and more. Use modern model support without locking core features behind tiers. Work across large files, broad codebases, and extended implementation sessions. What other providers charge for, Wave unlocks through sponsored ads. Explore the editor, open files, switch tools, and send the agent a message. This is an interactive product preview. Try opening a file or messaging the agent. Deploy, debug, integrate, and automate across the global cloud platforms your teams already use. Use the latest model…from thewavecode.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 · 16d 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
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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 · 16d ago · simedw.com