Cabos – Meeting Assistant for Non-Expert or Non-Native Speakers

Hacker News

Hi HN! I built a tool to help people like me stop missing important moments in meetings. As a a startup founder and non-native English speaker, I often find myself in conversations with people from unfamiliar industries, cultures, or language backgrounds. That’s when things get tough. I’ve occasionally missed key points and struggled to follow along in real time. This often leads to lower-quality conversations. And of course, I end up going back and forth through the recording just to catch up after the meeting. I made Cabos to boost my own meeting quality. And, it’s already made a huge difference for me. We’re currently beta testing and would really appreciate your feedback! Thank you!

Visit product View on Hacker NewsMar 18, 2025

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2points

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

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: occasional · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

27%27% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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