OpenCharts
One agentic OS to replace your entire stack.
What it does
OpenCharts is the agentic operating system that replaces your fragmented software stack. Give every employee, agent, and team a native AI workspace to build apps, create presentations, map flowcharts, write notes, and run deep research in one fluid platform. Eliminate tool-hopping, brittle integrations, and multiple vendor bills with one subscription for your entire business.
Create flowcharts, whiteboards, notes, and presentations with AI. Upload PDFs or describe what you need — OpenCharts builds it in seconds. Real-time collaboration included.
Docs, decks, sheets, websites, videos, agents. Describe it and Theo builds it with you. One subscription that replaces the stack. Your desk. One composer starts anything, and everything you were working on is right underneath it. A live replica. Click anything in the sidebar to look around. Tools open their own page. Flowcharts, decks, notes, code, video, and the agent that runs them all. Here is what changes when the whole stack lives together. Six tools, forty tabs, and the file you need in none of them. Director Mode turns a plain brief into scenes, takes, and a final cut. Pick a tier, roll another take, and keep the one that lands. Ask for a deck, a sheet, a site, or an answer. Theo…from opencharts.com
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Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…


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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.
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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…
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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