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Summit – local AI meeting insights

Hacker News

Summit – local AI meeting insights

Summit is a local-first macOS app for meeting recording and transcription. All audio processing, transcription, and summarization happens on your Mac - nothing is sent to the cloud (unless you chose to). Built for privacy-sensitive work such as NDAs, legal, healthcare, consulting. Features: - Works with any call app: zoom, meet, teams, etc. - Automatic call detection - On-device speaker identification - Custom summary templates (decisions, action items, notes) - Supports online and in-person meetings Would love feedback from people who care about local-first software and privacy.

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Actual performance

37points
10comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, notes · Missing: agents, agent, cursor
84%84% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created
83%83% 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.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
23%23% 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
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: audio · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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