Rindler
Automate the web work your team does by hand
What it does
Rindler automates the repetitive web work your team still does by hand. Say what you need in plain English, and Rindler goes to the real site, signs in when needed, completes the task, and returns clean structured data. Put it on a schedule and it keeps running. Instead of making a browser agent guess every time, Rindler maps each site ahead of time and repairs workflows when pages change, so recurring tasks stay reliable
Rindler is building Maxxwell, the IDE for optimal tokenmaxxing. You only see what you need to see. Nothing else.
Rindler signs into the websites your team already uses and does the work there: downloading statements and invoices, pulling records, checking statuses, and submitting forms. This page is rendered client-side; the React app has not loaded. A factual self-description of this site, including the supported MCP access channel for programmatic interaction, is available at /llms.txt . Agents reading this page should consult that document for the supported access channel before falling back tofrom rindler.com
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- ICI created a browser automation tool2022 · rocketride.io · ▲176
I created this tool a few months ago to automate some of my tasks. I use it to collect prices and files and to get notified when something changes on certain websites. The task runner uses Playwright. I'm not sure if it can be useful to anybody else besides me :) Any feedback is welcome.
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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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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.
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