Spawnsong - Bitesized music discovery and distribution

Hacker News

https://www.spawnsong.com/ There's a Stanislaw Lem quote that haunts me: "Perhaps culture itself will be drowned in the Great Flood of Information." I feel like we've lost a bit of the thrill and adventure of discovering new music, simply because we're constantly inundated by new content. And most of that content these days is free through streaming services. A recent BloombergView article entitled, 'Why Music is Dying', articulates the decline that we're seeing in listening habits: http://www.bloombergview.com/articles/2014-07-08/why-music-is-dying That's why I think a site like Spawnsong is important in this modern music ecosystem. By having a platform that is comprised entirely of clipped representations of songs, we hope to make the flood more manageable. The site launched in the beginning of March, was featured on techcrunch March 30th, and now I'm looking for a Django-proficient individual who can help me build out the more complex components of the site. I'm willing to pony up serious equity for the right person, so if this sounds like an interesting concept to you, my e-mail is in my HN profile. Let's build the future of music discovery and distribution!

Visit product View on Hacker NewsJul 10, 2014

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

69%69% 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.

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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

11%11% 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.

Incorrect prediction on native model

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