Convolens – Real time slides and fact-checking

Hacker News

Convolens is a Mac desktop app that records and transcribes your conversation on device, and turns it into slides, fact-checks, and infographics. I built the real time slides because I'm constantly losing focus during meetings and needed something I can quickly glance at and know exactly where I'm at and what happened during my "snooze". As a whole, Convolens lets you: - Record and transcribe your meetings / sessions locally. - Generate Slide decks, Infographics, and Fact-checks from your conversation (among other things). - Chat with your meeting/session and research anything that you need. Anyway, please check out the app we have a great free tier. Any and all comments are greatly appreciated!

Visit product View on Hacker NewsAug 26, 2026

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

92%92% 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.

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

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

32%32% 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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

21%21% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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