Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

Hi HN! We're Yujong, John, Duck, and Sung from Hyprnote (https://hyprnote.com). We're building an open-source, privacy-first AI note-taking app that runs fully on-device. Think of it as an open-source Granola. No Zoom bots, no cloud APIs, no data ever leaves your machine.

Source code: https://github.com/fastrepl/hyprnote Demo video: https://hyprnote.com/demo

We built Hyprnote because some of our friends told us that their companies banned certain meeting notetakers due to data concerns, or they simply felt uncomfortable sending data to unknown servers. So they went back to manual note-taking - losing focus during meetings and wasting time afterward.

We asked: could we build something just as useful, but completely local?

Hyprnote is a desktop app that transcribes and summarizes meetings on-device. It captures both your mic input and system audio, so you don't need to invite bots. It generates a summary based on the notes you take. Everything runs on local AI models by default, using Whisper and HyprLLM. HyprLLM is our proof-of-concept model fine-tuned from Qwen3 1.7B. We learned that summarizing meetings is a very nuanced task and that a model's raw intelligence (or weight) doesn't matter THAT much. We'll release more details on evaluation and training once we finish the 2nd iteration of the model (still not that good we can make it a lot better).

Whisper inference: https://github.com/fastrepl/hyprnote/blob/main/crates/whispe...

AEC inference: https://github.com/fastrepl/hyprnote/blob/main/crates/aec/sr...

LLM inference: https://github.com/fastrepl/hyprnote/blob/main/crates/llama/...

We also learned that for some folks, having full data controllability was as important as privacy. So we support custom endpoints, allowing users to bring in their company's internal LLM. For teams that need integrations, collaboration, or admin controls, we're working on an optional server component that can be self-hosted. Lastly, we're exploring ways to make Hyprnote work like VSCode, so you can install extensions and build your own workflows around your meetings.

We believe privacy-first tools, powered by local models, are going to unlock the next wave of real-world AI apps.

We're here and looking forward to your comments!

Super cool, congrats on the launch - will be trying this soon! I noticed it’s using Tauri - what are your main takeaways from building a local inference desktop app with it?

Thanks. I learned that running a server on the Rust side and calling it from a TypeScript frontend is a good approach. For example, we run an OpenAI-compatible server using a Tauri plugin (https://github.com/fastrepl/hyprnote/tree/main/plugins/local...) and call it using the Vercel AI SDK.

Looks really cool - I noticed Enterprise has smart consent management?

The thing I think some enterprise customers are worried about in this space is that in many jurisdictions you legally need to disclose recording - having a bot join the call can do that disclosure - but users hate the bot and it takes up too much visibility on many of these calls.

Would love to learn more about your approach there

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.