Shook – Translate your voice into any language

Hacker News

Hey everyone! Excited to share Shook - a mobile app that let’s you clone your voice, hear yourself in different languages, and send voice messages to your friends You can hear yourself in the following languages: Spanish, Hindi, French, Italian, Portuguese, German, Polish, and English When you type a message in English, Shook will translate it to your selected language instantly, in your own voice, and allow you to share with friends. You can try it out here: https://apps.apple.com/us/app/shook-ai-voice-translation/id6... How it works: 1. Clone your voice with 60 seconds of audio 2. Choose a message that you would like to send (we assist you with AI suggested messages) 3. Select your desired language 4. Listen & share! We previously launched CloneDub for translating podcasts, and noticed that a lot of people wanted to hear their own in other languages so we built a fun app that make it super easy & fun to clone your voice, hear yourself in different languages and share with friends. Let us know what you think!

Visit product View on Hacker NewsJun 23, 2023

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Actual performance

6points

1comments

Did not reach leaderboard

Launch Intel predictions

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

80%80% 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.

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

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

36%36% 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

26%26% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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