I built this because I wanted a meeting tool that didn't compromise privacy.

It’s a application that handles transcription locally and turns conversations into structured knowledge.

It has a live mode where you can also ask it questions during the meetings and a grounded research mode.

The performance of whisper.cpp allows me to transcribe 1h of meeting in just 20-30s on a Mac Pro M4.

  Why it’s different:
   * Local-First: Transcription via whisper.cpp happens 100% offline.
   * Actionable: It doesn't just summarize; it automatically creates GitHub/GitLab issues from
     meeting action items.
   * Integrated: Generates structured Obsidian notes (with Mermaid.js graphs) and sleek,
     HTML reports.
   * Live Copilot: Press [Space] to ask the AI questions about the current meeting context in
     real-time.


  The Stack:
  C++17, whisper.cpp, FTXUI (for the TUI), PortAudio, and libcurl (supporting Gemini, OpenAI, or
  local Ollama).

Looking forward for your input.