muffon – Desktop music streaming browser

Hacker News

muffon is a desktop music streaming browser. It retrieves metadata, audio, and video from various Internet sources, such as: - Last.FM - VK - Odnoklassniki - Yandex Music - Bandcamp - Deezer - SoundCloud - Spotify - YouTube - Discogs - Genius It has no ads and is absolutely free to use. Features: - listening (artists / albums / tracks) - music library (and compatibility with others) - recommendations (based on your library) - search (through all of the sources above) - radio (tags / artists) - scrobbling (Last.FM) - videos (YouTube) - lyrics (Genius) - tags (with top artists / albums / tracks) - top (artists / albums/ tracks / tags) - playlists - favorites (artists / albums / tracks) - bookmarks (artists / albums / tracks) - listened (artists / albums / tracks) - posting - following - messaging - feed - communities - new / upcoming releases - multitag search - sharing (artists / albums / tracks / videos / playlists / communities)

Visit product View on Hacker NewsJun 1, 2022

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Actual performance

14points

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Launch Intel predictions

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

90%90% 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.

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

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

28%28% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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