No more meeting minutes with GPT-3

Hacker News

We recently plugged in GPT-3 to our software which can record / transcribe / search and share meetings. And the quality of the meeting minutes outputted is just baffling. GPT-3 understands what a discussion revolves around - even if the subject matter is only mentionned once - and summarizes it really efficiently. It lays out the different topics and always puts forward the next steps. Linked is a quick example on one of my conversations with a company in the Philippines. An amusing bug was that if for whatever reason no to little transcription was outputted, GPT-3 would insult the participants (is it trained on Reddit??). The danger would be if GPT-3 misinterprets something and this then gets into the formal decision process of a company. However I haven't seen it yet after 1 month of live production and a little more than a hundred of internal calls tried out on. Check it out it's free to try out: https://cutt.ly/welcome_to_spoke :)

Visit product View on Hacker NewsJul 25, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

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best fitHighest predicted score across all platforms for this description.

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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