[yonl]

Congrats on the launch. I never understood why an AI meeting notetaker needed sota LLMs and subscriptions (talking about literally all the other notetakers) - thanks for making it local first. I use a locally patched up whisperx + qwen3:1.7 + nomic embed (ofcourse with a swift script that picks up the audio buffer from microphone) and it works just fine. Rarely i create next steps / sop from the transcript - i use gemini 2.5 and export it as pdf. I’ll give Hyprnote a try soon.

I hope, since it’s opensource, you are thinking about exposing api / hooks for downstream tasks.

[Aurornis]

> I never understood why an AI meeting notetaker needed sota LLMs and subscriptions

I’m the opposite: If something is expected to accurately summarize business content, I want to use the best possible model for it.

The difference between a quantized local model that can run on the average laptop and the latest models from Anthropic, Google, or OpenAI is still very significant.

[pollyrocket]

For summarizing context, it's not that far off. I've summarized notes using Claude Sonnet 3.7 and Qwen3 8b, and there a difference, but not huge.

[yujonglee]

What kind of API/Hooks you expect us to expose? We are down to do that.

[sjayasinghe]

The ability to receive live transcripts from a webhook, including speaker diarization metadata would be super useful.

[yujonglee]

webhook to the localhost server, right?

[headcanon]

registering an MCP server and calling an MCP tool upon transcript completion (and/or summary completion) would help (check out actionsperminute.io for the vision there).

Calendar integration would be nice to link transcripts to discrete meetings.

[yujonglee]

That makes sense.

Please add more details here: https://github.com/fastrepl/hyprnote/issues/1203

For calendar, we have native Apple Calendar integration in MacOS.

[satvikpendem]

Can you share the Swift script? I was thinking of doing something similar but was banging my head against the audio side of macOS.