Transcribe.so

TrustMRR

Turn Any Audio Into Instant Answers & Searchable Insights Upload YouTube links or private audio files and get AI Q&A with citations, speaker identification, chapters, and topics. Supports 50+ languages. Ask questions and get instant answers with timestamps. GPT-4o speaker diarization identifies who said what. Semantic search with citations, book-like chapters, and topic navigation. Supports 50+ languages with automatic language detection ⚡ Powered by OpenAI & ElevenLabs

Visit product View on TrustMRROct 10, 2025Content Creation Software Both

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Actual performance

1customers

$9MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating3

MRR growth 30d+3620.0%

Launch Intel predictions

Analyze your own launch →

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

79%79% 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.

BetaListSuited for BetaList early-adopters · Strong signals: audio · Missing: web3, chat, crypto

65%65% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: answers · 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 NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

34%34% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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