Muxamp, a unified playlist for YouTube and SoundCloud

Hacker News

Muxamp is a unified playlist that lets you search for and play YouTube and SoundCloud media back-to-back. It is my first web app, written entirely in JavaScript (thanks to Node.JS). Link: http://muxamp.com/ Features: * Easy track search * Drag and drop playlist rearrangement * Sharing your playlist is as easy as copy-pasting the URL * Attractive UI, thanks to Bootstrap and CSS * Free, no sign-up required This is a personal project of mine that I used to learn more about JavaScript and web programming. Feedback is appreciated! (Tell me if it sucks or not.) This project is hosted by Nodester (http://nodester.com). Thanks for reading! -Robert

Visit product View on Hacker NewsJun 2, 2012

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

72%72% 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.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

64%64% 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 · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, active · Missing: mrr, revenue, profit

13%13% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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