Majority – Find new music and vote on your favorites

Hacker News

Majority shows you a song, you click “Like” or “Pass”. I wanted to find new music, but I didn’t want to invest the 3-4 minutes of listening to the whole song. Putting on a “new releases“ playlist with songs that might not even be good never appealed to me. With Majority, I can at least speed up the process. Majority lets you get a taste of a lot of different types of songs and vote on them. I also wanted a way for real people to push the best songs to the top, not Apple Music or Spotify. If you like a song, you can vote on it and see your saved songs to look them up later. There’s even a leaderboard to see which songs are getting the most likes. Feel free to give it a try, ask questions and give feedback!

Visit product View on Hacker NewsSep 18, 2026

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, new · 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.

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

59%59% 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

40%40% predicted probability of success on AppSumo, 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

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

BetaListMay not resonate with beta-testers · Strong signals: real people · 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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