Our meetings often involve a mix of onsite and offsite employees. Typical setup might be CEO + CTO + a VP in a room, connected as a single zoom client to the call (either of these 3 guys depending on who got in the meeting room first), then few additional people joining remotely from home each on their own zoom instance. The guys on the meeting room are using a dedicated camera in the meeting room that captures the entire room, and has all participants in sight. Is this a setup you are trying to address; how are you able to recognize speakers in this configuration ?

Most transcript system we have tried bundle everything that is said by the onsite people as a single entity which pretty much destroys the value of the transcript; especially if people in that room disagree with each other; reading the transcript makes it feel that the onsite guys is very schizophrenic

I did. Were you trying to get VCs to know about you? Or more like a twilio billboard that just said ask your devs?

I’m interested in how you expect to keep market share if this capability can be offered by the webrtc service provider. I saw the other comment about multiple providers, but many enterprises have just one preferred path. For example I’ve been recording Google drive calls and the transcript goes straight into my Google drive.

Have you explored using speaker diarization and speaker identification, given that pyannote etc. takes this approach?

I'm curious given your decision to capture speaker names from the screen. I see the merits during desktop recording, but I can also see how this limits utility when trying to offer the same functionality across desktop and other scenarios (e.g. in-person meetings, audio uploads etc.)

I have Loom recorded a Zoom meeting so get it. I think for corporates though the integrated approaches are so so convenient. Have your meeting and get a summary email by doing nothing (or one click opt in). I feel like your solution is for edge cases where the mainstream ways are not possible.

Congrats Recall team, I've been a customer for the past 1.5 years and the entire infra layer behind meetings has let our company really focus on "what makes our beer taste better" instead of having to worry about building universal support for different (and tedious) platforms like Teams and Zoom. Eager to give the desktop recording sdk a try soon.

Congrats on ur launch. Amanda has the strongest LinkedIn game I have ever seen in my life. On the other hand the product is IMHO at risk? Models like Whisper, DistilWhisper, TinyLlama, miniGPT-4, OpenHermes, Vosk, and Llama.cpp make Recall.ai meeting transcription easy to replicate. IMHO in 1 weekend you can build an open-source tech stacks that can rival or EVEN surpass the value brought....or am I tripping?

Wow, congrats on finally using up your single Launch HN, David and Amanda! :wink:

No but seriously, y'all have built not only an incredible product that I had the chance to demo, but a great company as well, through your previous pivots and cofounder changes. You're building schlep tools that product companies _definitely_ don't want to do, years before it was clear there was a market here, and do it well.

There's definitely demand for a native screen recorder, and I think it's the right move to be agnostic to privacy (the lower down the stack you go, the more permissable you should be about use-cases). Imagine how much competition in file storage there would have been had there been an API provider for Dropbox's Finder sync technology (though you could argue it just incentivizes large companies like Hubspot to build their own screen recording feature into their platform, rather than enabling new startups like Gong but I digress).

Y'all deserve the success that you have, and wishing you all the best of luck with the new product launch!