Music Stream - stream music between iOS devices

Hacker News

I've always wanted the ability to stream music from one of my iOS devices to another. I just created an app that lets you accomplish that. The app went live on the App Store yesterday. Please let me know what you think. I've included 10 promo codes for people to check it out. http://itunes.apple.com/us/app/music-stream/id542197031?ls=1&mt=8 Promo Codes: LPK4JLJ3NAAH X3M9XR4PTJTY 9YW6AKJYYWXA 63AXFHR76Y49 MMKMM99AXTAY 37MYAHFWK4EN F97F9FMK6LXY KJENJ9RYPHRE MHYKRM63P4XM RWHHTNEAFE69

Visit product View on Hacker NewsSep 3, 2012

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Actual performance

1points

1comments

Did not reach leaderboard

Launch Intel predictions

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

71%71% predicted probability of success on TrustMRR, 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: created, ios · Missing: supports, reddit linkedin, podcasting

58%58% 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: io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: apple, code · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

27%27% 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

17%17% 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

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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