yujonglee

7 ms·

31.
by yujonglee 1y ago
It separate mic/speaker as 2 channel. So you can reliably get "what you said" vs "what you heard". For splitting speaker within channel, we need AI model to do that. It is not implemented yet, but I think we'll
32.
by yujonglee 1y ago
If your use-case is meeting, https://github.com/fastrepl/hyprnote is for you. OWhisper is more like a headless version of it.
33.
by yujonglee 1y ago
Happy to answer any questions! These are list of local models it supports: - whisper-cpp-base-q8 - whisper-cpp-base-q8-en - whisper-cpp-tiny-q8 - whisper-cpp-tiny-q8-en - whisper-cpp-small-q8 - whisper-cpp-small-q8-en - whisper-cpp-large-tu
34.
Show HN: OWhisper – Ollama for realtime speech-to-text(docs.hyprnote.com)
289 points by yujonglee 1y ago|75 comments
35.
by yujonglee 1y ago
Thank you. Tracking here: https://github.com/fastrepl/hyprnote/issues/1263
36.
by yujonglee 1y ago
Bugsink looks interesting. Will take a look.
37.
by yujonglee 1y ago
We don't do any manual call to Sentry at this point. Just standard report when something panics
38.
by yujonglee 1y ago
what kind of integration you expect? export?
39.
by yujonglee 1y ago
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.
40.
by yujonglee 1y ago
thank you for letting me know! will look into this
41.
by yujonglee 1y ago
> Is there any chance of a headless mode? maybe. we might be able to add extension system that each extension can have that info and do whatever it want within the app. > I'll look forward to the Linux version. https:/&#x2F
42.
by yujonglee 1y ago
It is organic signup, not coming from personal networks. (We launched on Reddit a few months ago and it went really well.) There are individuals within the orgs who have used the app, giving us feedback through calls, or even paying for ind
43.
by yujonglee 1y ago
> and interacts with a long list of 3rd party APIs? I doubt it. It does not interact with 3rd party API.(except opt-out-able analytics) It uses local-ai models. No data leave user's device. It helps users in large org to try it. &gt
44.
by yujonglee 1y ago
I mentioned about the monetization plan in other threads! (search with 'license'). Hope that make sense
45.
by yujonglee 1y ago
I acknowledge that it's outdated. When we were writing the landing page, we thought we could ship the first version of speaker diarization/identification within a few days. However, due to various challenges and priority changes,
46.
by yujonglee 1y ago
Agreed. We are working on Windows too. For macOS, it is dogfooding, and also lots of AI models are Mac optimized + overall Mac device more powerful than windows, so suited to on-device thing.
47.
by yujonglee 1y ago
That is not actually required. You can even set empty key for that. Also Linux issue pointer: https://github.com/fastrepl/hyprnote/issues/67#issuecomment-...
48.
by yujonglee 1y ago
webhook to the localhost server, right?
49.
by yujonglee 1y ago
no. it is open source. https://github.com/fastrepl/hyprnote/tree/main/apps/admin
50.
by yujonglee 1y ago
> Have you had a bad experience with AI powered AEC? no. actually it is pretty good :)
51.
by yujonglee 1y ago
There are only 2 api keys that is required to build (POSTHOG, SENTRY), and also not required to build in dev, only in release build. I made it required to prevent accidentally ship app without any analytics/error tracking. (analytics c
52.
by yujonglee 1y ago
It is more like ai model problem(then app logic. doing it more frequently will require more computation. Things like speculative decoding can help though). Doing it locally is hard, but we expect to ship it very soon. Please join our Discor
53.
by yujonglee 1y ago
https://github.com/thewh1teagle/vibe Only for speech to text though.
54.
by yujonglee 1y ago
we def considered it. our line of thinking is start with more restrictive license, and later switch to MIT or something once we figure things out :)
55.
by yujonglee 1y ago
I think it will work pretty well considering how rapid it moves. (See gemma3n, Cactus etc)
56.
by yujonglee 1y ago
It should be played only during onboarding. No music while using the app
57.
by yujonglee 1y ago
We thought it'll be cool :) sorry if that disturbs you.
58.
by yujonglee 1y ago
It's custom model. (whisper variant)
59.
by yujonglee 1y ago
At least for near future, we'll focusing on meeting notepad side of a thing. We actually have "export to Obsidian". I think you can pair Hyprnote nicely with Obsidian. Screenshot: https://github.com/user-attac
60.
by yujonglee 1y ago
we will support even faster realtime transcription in near future. (within few weeks)

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