70 cents per hour is a mountain of fees... basically a $1 per meeting. Sheesh.
$0.70/hr is our starter rate for low-volume testing. In production, developers will see higher usage and choose to commit to volume and longer-term usage. Because of this, we've seen most teams don’t pay the starter price once they scale beyond early pilots
Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
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Re: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
#12Earlier quoted context omitted.
$0.70/hr is our starter rate for low-volume testing. In production, developers will see higher usage and choose to commit to volume and longer-term usage. Because of this, we've seen most teams don’t pay the starter price once they scale beyond early pilots
Is this with active speech or you pay in every second of silence too?
Re: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
#13Re: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
#14Both why send it and why send it with very little info included on the page?
Re: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
#15Re: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
#16Earlier quoted context omitted.
Usage includes silent time too as we are still processing the media streams
What is the value in paying this massive cost when Teams, Zoom all support ootb?
Instead, we built a single API that can get the same results without the issues mentioned above so you can focus on building the features your users care about
Re: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
#17No 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!
Re: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
#18Out of interest, what is the thinking behind sending a physical mailer to what feels like a large fraction of San Francisco? Both why send it and why send it with very little info included on the page?
Re: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
#19Wow, 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 de…
Re: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
#20Congrats 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?
Recall is, at its core, an API for bot recording. As someone building an application that relies heavily on conversational data, recording meetings is really important. Recall makes that process as easy as an API call, standardized across various meeting platforms. It's a huge PITA to set up infrastructure to get bots to join meetings that handle each platforms' proclivities, encoding and storing video data, etc.
The transcription service is just something they do to make transcribing recordings - one of the most common first post-processing steps for any conversational data - easier and lower friction.