AgentDeck
Every Claude and Codex account. One secure desktop app.
What it does
Keep your AI work moving when a 5-hour limit hits. AgentDeck puts every Claude and ChatGPT/Codex account in one desktop workspace, shows limits and usage at a glance, and lets you continue sessions across accounts or between Claude and Codex without rebuilding context. Work securely from your phone or tablet, use local or approved models, and optionally mask personal or sensitive data and check untrusted content for prompt injection before sending.
thread0 is a desktop Agent OS that runs Claude and GPT sessions side by side on the subscriptions you already pay for. When one account hits its limit, hand the session to another account you own and keep the work. Approve tools from your phone.
thread0 runs your Claude and GPT sessions side by side on the subscriptions you already pay for. When one account hits its limit, hand the session to another account you own and keep going. Approve tools from your phone when you step away. Free for individuals and teams up to 5. Connect the AI plans you already pay for. See pricing Installers are code-signed for Windows (MAI DEPOT, Inc) and notarized by Apple. Windows 10/11 and macOS 13+. Models, clouds and subscription plans will keep changing. thread0 gives the work a durable operating layer across providers, accounts, projects, devices and teams. Connect your personal plans and team seats, then work from one familiar place. Use…from gendistrict.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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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