This is just a little side project I have been working on, mostly dealing with collecting and charting soundcloud data. I have built a backend data scraper that reads my soundcloud sets and rebuilds their data base on my server. Cashing this data on my server has lead to speed increases from 5-8 seconds, to under 1 second on API pull time. I have also begin gathering historical data on track play and like counts, which I have started writing comparitive algorithems for to chart track hype, and other 'discovery' metrics.Chill » Chilly Calls » Indie » Indie Disco » Dubstep » Chill Mixes » Likes » Rebuild Set JSON files »
This is a test case to start graphing a tracks 'hotness'. Currently static, this is a super lightweight solution to potentially be converted to read an associated playcount data array over time.
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