Whistle – Offline, private voice transcription using whisper

Hacker News

I was trying to find a simple app to use for offline transcription and translation on my phone, however the Play Store is absolutely chock full of ad filled ones, paid versions, in-app purchases and stuff that's just way too complicated for what I wanted. Whistle is simple, free, no-ads, no tracking, no network permissions required application that allows your to transcribe and share the output to wherever you want. That's it, nothing else. Big shout out to https://github.com/mybigday/whisper.rn and https://huggingface.co/ggerganov/whisper.cpp/tree/main for making this even possible. Any suggestions are welcome.

Visit product View on Hacker NewsNov 23, 2025

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Actual performance

2points

Did not reach leaderboard

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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos

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

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

40%40% predicted probability of success on TrustMRR, 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

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

nativeThis product was originally launched on this platform.

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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