Chord Genius – karaoke for guitar app

Hacker News

Hey everyone! My team and I have just launched Chord Genius, an app that helps Guitar players learn songs faster and more fun by having chords and lyrics that move along. Use Spotify, YouTube, or Apple Music to stream music and have it automagically synced up with the chords and lyrics on the screen. Visit our launch page and support us on Product Hunt https://www.producthunt.com/posts/chord-genius , you'll find some promo codes there too. A feedback on the post would be much appreciated! Or else, just download the app right away: iOS: https://apps.apple.com/us/app/chord-genius/id1625337241 Android: https://play.google.com/store/apps/details?id=app.chordgeniu...

Visit product View on Hacker NewsJul 27, 2022

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

86%86% 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, google, apps · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

67%67% 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

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

nativeThis product was originally launched on this platform.

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

32%32% 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

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

BetaListMay not resonate with beta-testers · 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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