Andrew Chadwick

SheepCat Tracking My Work v01.04.00 - Local AI-first desktop app for devs cognitive ergonomics

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​SheepCat is a Python-based desktop app designed to eliminate context-switching and reduce cognitive load for developers. Log notes and ticket updates using a frictionless "fire and forget" interface throughout the day, then let local AI (via Ollama) generate your end-of-day summaries. 100% local, zero cloud APIs, and complete privacy for your proprietary data.

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Andrew Chadwick
Hi Product Hunt! 👋 I’m the maker of SheepCat. Bouncing between C# backends, SQL databases, and JavaScript frontends all day takes a massive toll on cognitive ergonomics. Every time I had to stop to document a task or update a ticket, it broke my flow state. I wanted an AI assistant to handle this, but sending internal ticket numbers, architecture notes, and proprietary data to cloud LLMs is a massive security risk. So, I built SheepCat. It’s a desktop application that runs completely locally. Here is how it keeps you in the zone: ⚡ Fire and Forget Logging: Drop a quick note and a ticket number into the app and get right back to your IDE. It processes in the background without breaking your flow. 🔒 Zero Data Leaks: By hooking into local models (like Qwen via Ollama), absolutely zero proprietary data leaves your machine. 📝 End-of-Day Summaries: When it's time to clock out, SheepCat compiles your asynchronous logs into clean, actionable updates. If you are tired of the mental friction of project maintenance or if your company strictly prohibits pasting internal data into web-based AI tools I’d love for you to try SheepCat. I'll be hanging out in the comments all day, so let me know what local models you are currently running or if you have any feedback on the architecture!