I was going to create a hack related - Using Cloud-based Analytic tools to Analyze (say, like Splunk) which hacks are most "sticky." In other words, if you could identify the hacks that capture the most eyeballs, the longer amount time spent on it, and from where the eyeballs come so we can follow the threads, then we might be able to make that part of the rubric/algorithm by which people can plunge as shallow or deep into the MIX as they would like. Coupled with a robust search function, we can help folks find the most useful tools faster. Then, I found your hack, and I figure a comment to yours is probably a better way to go. Cheers.