I am an Engineering Manager and Architect focused on the intersection of Autonomous AI and User Experience.

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<h3>Hobnob is a desktop application designed for private, local meeting recording, transcription, and summarization. It operates entirely on your laptop, requiring no cloud services, sign-ups, or internet connection after initial setup. Hobnob offers real-time transcription with speaker labels, and generates structured meeting notes including decisions, action items, and open questions using a locally run Large Language Model (LLM). Users can interact with the meeting transcript by asking questions to the bundled LLM. Key features include calendar integration for auto-titling meetings and a 5-minute heads-up with one-click join. The application provides flexibility by allowing users to swap Whisper models and choose their own LLM in GGUF format, ensuring full control over local processing. Hobnob is available as a native desktop app for macOS (Apple Silicon) and Linux, with packages like AppImage, .deb, and .pacman. All recordings, transcripts, and summaries are stored locally.</h3><ul><li>Privacy-focused: Operates entirely locally, with no cloud, sign-up, or internet required after setup. Zero data collection.</li><li>Live Captions: Real-time transcription with speaker labels.</li><li>LLM Summaries: Generates structured notes with decisions, action items, and questions.</li><li>Meeting Chat: Ask questions to the bundled LLM about the meeting transcript.</li><li>Calendar Integration: Auto-titles meetings and provides a one-click join option.</li><li>Customizable Models: Supports swapping Whisper models and using custom GGUF LLMs.</li><li>Cross-Platform: Native desktop app for macOS (Apple Silicon) and Linux.</li><li>Local Storage: Recordings, transcripts, and summaries are saved on your machine.</li></ul>