Frame

What it does

I started building Frame as a terminal-first, lightweight IDE and open sourced it. Now I'm pushing it toward becoming a full platform for developing and managing larger projects.

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  Framer2016 · ▲461

  Now with auto-code, an all-new way to design with code

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  Framer for Developers2021 · ▲319

  The power of the browser with the freedom of a canvas

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  Framer Workshop2025 · ▲308

  Build powerful components through simple instructions

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  Frame2018 · ▲150

  Web frameworks list by technology and language

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  Frame.io v42024 · ▲152

  Creative work management, redesigned from the ground up

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  Frame – Managing projects, tasks, and context for Claude CodeJan 2026 · ▲7

  I built Frame to better manage the projects I develop with Claude Code, to bring a standard to my Claude Code projects, to improve project and task planning, and to reduce context and memory loss. In its current state, Frame works entirely locally. You don’t need to enter any API keys or anything like that. You can run Claude Code directly using the terminal inside Frame. Why am I not using existing IDEs? Simply because, for me, I no longer need them. What I need is an interface centered around the terminal, not a code editor. I initially built something that allowed me to place terminals in…

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  I trained a 125M model to autocomplete piano on-device▲598

  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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  Needle2: 14MB agentic LLM for phones, wearables, smart home and robots▲537

  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

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  Claude Import Memory▲725

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  Jupid▲664

  File your taxes with Claude Code

  Commerce · Mar 2026 · jupid.com