Maroofy – discover music you'll love, via 30s song clips

Hacker News

Hey HN! I've built an iOS app called Maroofy (maroofy.com), which lets you find new favorite music by swiping through an infinite mix of 30s song clips. It originally started out as an AI-based search engine where you could search for songs that sounded similar to any given song: https://news.ycombinator.com/item?id=30051909 -- (btw, I've integrated all of the feedback from that older post into this latest version! :)) But based on early user feedback, I realized that a "discovery-based" UI (using the same AI model) would offer a much better UX than the "search-based" UI that I had built -- which lead me to create this app. I've been able to find a lot of new favorite songs from my own testing so far, so I thought it would be nice to share it here and let others try it out as well! Early access: https://airtable.com/shr2t9o35UbHFq5nI Would love to hear your thoughts & feedback on the app, idea, your music discovery experience, etc.! :D Note: In order to try Maroofy, you'll need an iPhone w/ TestFlight installed + some public playlist URLs containing songs that you love, so that I can teach the app's AI about your particular music tastes when I create your early-access account! :)

Visit product View on Hacker NewsJul 26, 2022

Share card

Actual performance

2points

3comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

95%95% 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: model, user, new · Missing: mac, agents, macos

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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 · Missing: web3, chat, crypto

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

Incorrect prediction on native model

Similar products

GoodGrapes – Discover Wines You'll Love51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GoodGrapes – Discover Wines You'll Love

Hacker News23

Plumlet34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Send us your clips. Get back a reel you’ll love.

TrustMRRArtificial Intelligence

Dancemusicjunky30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Love for electronic music

Indie Hackers

Prattle – Conversations you'll love44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prattle – Conversations you'll love

Hacker News2

SongMemento58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The AI Love Song Gift

Indie Hackers

Placelist15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover places you'll love from people you trust.

Indie Hackers3b2c

Next Hyype

Discover Music Around You!

BetaList

Audile – Discover Interesting Music46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Audile – Discover Interesting Music

Hacker News2

Song Dedications, Connect Through Music47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Song Dedications, Connect Through Music

Hacker News1

Loopy – share and find and music you love51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Loopy – share and find and music you love

Hacker News46

Browse all products Analyze your launch