Show HN: Summit – local AI meeting insights

[nLight]

Summit is a local-first macOS app for meeting recording and transcription. All audio processing, transcription, and summarization happens on your Mac - nothing is sent to the cloud (unless you chose to).

Built for privacy-sensitive work such as NDAs, legal, healthcare, consulting.

Features:

  - Works with any call app: zoom, meet, teams, etc.
  - Automatic call detection
  - On-device speaker identification
  - Custom summary templates (decisions, action items, notes)
  - Supports online and in-person meetings

Would love feedback from people who care about local-first software and privacy.

[nLight]

Hi HN! My name is Dima, and I'm the founder of Summit.

I built this because I kept running into a hard limit with existing meeting tools: I couldn't use them for NDA-covered calls or internal discussions, since audio and transcripts had to be uploaded to third-party servers. On top of that, juggling multiple call apps made built-in summarization hard to use even when it was technically compliant.

That's why Summit takes a different approach: everything runs locally on macOS - recording, transcription, speaker identification, and summarization. Nothing leaves the machine, and there's no account or cloud backend.

The tradeoff is that it's more resource-intensive than cloud tools, and accuracy depends on the hardware you're running on. I spent a lot of time optimizing the local tool chain (e.g. smaller on-device models like Qwen) to make this practical on Apple Silicon. I tested it on a standard corporate MacBook Air with 16 GB RAM, which works well; more memory lets you run larger models, but 16 GB is enough.

I believe in local-first AI and would love feedback from people here who've thought about it:

  – Is fully on-device processing something you'd personally value?
  – Are there privacy or compliance use cases I'm missing?
  – What would you want to inspect or control in a tool like this?

Happy to answer any technical questions.

[buschgrau]

Dima, when can we expect versions for other operating systems, if there will be any at all?

[nLight]

For now, I'm focused on Apple's ecosystem. IOs app will leverage an encrypted iCloud database to sync from mac to iPhone. But the approach is transferrable, though it would be a breakout new cross-platform codebase for Win and Linux.

[sin_dog]

Looks good Do you plan to let users choose models for the transcription?

[nLight]

Yes, I plan to add fine-tuned models, i.e. for Chinese or Russian

[herova]

Using it from first release, all the best for you and thanks

[nLight]

Thank you!

[mr_mig]

Woah, this is good!

[aagha]

Source code?

[nLight]

The app is not open source