myfaves.fm – A flat-ui music player built with Meteor

Hacker News

I recently launched my side project I've been building with Meteor js over the past few months. It uses the Soundcloud, Hypemachine, and exfm public APIs to pull in your 'favorite' tracks from each of your usernames provided. It's gives you a unified playlist of all your favorite tracks across the different sites. Audio is being played using the HTML5 Audio API, so it currently only works in Chrome and Safari. Built with: * Meteor JS – http://Meteor.com * Bourbon Sass Mixin Library – http://bourbon.io * Spin.js – http://fgnass.github.io/spin.js/ * Moment.js – http://momentjs.com/ * RSVP.js – https://github.com/tildeio/rsvp.js — Reply

Visit product View on Hacker NewsJun 28, 2013

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

66%66% 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 HuntOn track for Day 1 leaderboard · Strong signals: mac, user, using · Missing: agents, macos, agent

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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: month · Missing: mobile apps, ios, personal

42%42% 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

36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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