talat

Product Hunt

Realtime meeting notes that don’t leave your Mac

talat captures your microphone and system audio, transcribes both sides of every conversation in real time, and turns meetings into searchable, editable notes. It's powered entirely your Mac or Windows computer: your audio never leaves your machine. Choose custom LLM providers, write custom summarisation prompts, auto-export to Obsidian, push meeting data via webhooks, or query your history through an MCP server. It runs alongside Granola and other tools, so you can try it without switching.

Visit product View on Product HuntMar 19, 2026Notes Privacy Meetings

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Actual performance

141upvotes

20comments

Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

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

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

23%23% 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, audio · Missing: web3, chat, crypto

17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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