Loomscribe

TrustMRR

Loomscribe turns Loom recordings into a searchable AI notebook. Paste a link and get a transcript — including AI speech-to-text for videos Loom never captioned — plus summaries, action items, and topics. Chat with one video or your whole library, map it visually, and dub it into other languages. For agencies, consultants, and async teams who lose hours rewatching recordings. A free Chrome extension adds transcripts to every Loom page; an MCP connector opens notebooks to Claude and Cursor.

Visit product View on TrustMRRFeb 20, 2026Productivity Software B2B

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Actual performance

13customers

$150MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d+64.1%

Launch Intel predictions

Analyze your own launch →

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

91%91% 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.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

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

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

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

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

32%32% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

27%27% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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TrustMRRProductivity