NotchLive

TrustMRR

NotchLive is a local-first Mac app for live captions and speaker-aware meeting records. On Apple silicon, it separates remote speakers, lets you review participant attribution, calculates Meeting Analytics, and supports speaker-aware exports plus optional read-only local MCP for Codex and Claude. No meeting bot, subscription, or cloud transcription workspace.

Visit product View on TrustMRRFeb 21, 2026Artificial Intelligence Other B2C

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Actual performance

1customers

$9MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating15

MRR growth 30d+8.8%

Launch Intel predictions

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

90%90% 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 HackersIH features products with proven revenue · Strong signals: supports, para · Missing: reddit linkedin, podcasting, created

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

33%33% predicted probability of success on BetaList, 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

26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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