Streamus - An open-source Chrome extension for managing YouTube music

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Hey everyone, I'm a young developer with a penchant for music and quality software. I have spent the last 16 months developing an open-source Google Chrome extension which attempts to simplify the experience of using YouTube to play music. Streamus: http://streamus.com/ Streamus currently has 14,000 users and is the #1 trending / #4 ranked 'fun' extension in the web store. I've built it entirely from scratch while teaching myself the basics of BackboneJS (and Backbone.Marionette), RequireJS, GruntJS and many other, smaller libraries. It has been a great learning experience. I would love to field any questions about the product, challenges encountered while creating it, etc. Really anything you'd like to know -- I'm all ears and super excited to discuss it. Here's all the source code if that's your thing: https://github.com/MeoMix/StreamusChromeExtension https://github.com/MeoMix/StreamusWebsite https://github.com/MeoMix/StreamusServer

Visit product View on Hacker NewsJan 23, 2014

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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, 000, io · Missing: https docs, just released, exist

81%81% 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: google, user, using · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

49%49% 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

14%14% 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.

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