Adora Agentic Browser - Gets Things Done
Tell Adora what you want It browses, thinks and gets it done
What it does
Adora is an agentic browser that turns your goals into actions. Tell Adora what you want to accomplish, and it can navigate websites, understand pages, perform tasks, research information, fill forms, collect data, and create files for you. Powered by reusable AI Skills, Adora is designed to evolve into a growing ecosystem of capabilities. The browser shouldn't just show you the web. **It should work on the web for you.** 🚀
Adora is an AI computer agent. Describe what you want and it plans the steps, opens websites, controls desktop apps and completes the task for you.
Describe what you want. Adora plans the steps, chooses the right tools, opens websites, controls applications, and completes tasks for you. Compare our Q3 vendor invoices, build a summary sheet, and draft an email to finance. Portal C paginates invoices, so I'll iterate pages before exporting. Totals differ from the ledger by 1.2% — flagging for approval instead of guessing. Software got more powerful. Using it got harder. The work between the tools became your job. Your work lives in fifteen tools that don't talk to each other. You are the integration layer. Context is scattered across dozens of tabs. Finding the thread costs more than the task. Copy, paste, reformat, upload, repeat. Hours…from adorabrowser.site
Does the same job
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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…
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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 · 16d ago · simedw.com