I think the mathematics would be quite interesting to manage. Meaning how would a computer program identify new and upcoming comics? For now only likes, comments, and views are considered.
As a slightly flawed example: Let us say there were 1000 comics on Tapastic. If we follow a simple Pareto's Law (20% of comics have 80% of subscribers, or 16% have 64%), you'd only ever see the first 150 comics appear on the front pages.
So fine, let us gradient the lower tiers and create categories instead. We'd quickly run into the trouble of knowing who is more "popular" or good. This is because now 20% of subscribers are spread between 800 of those comics. so at the lower tiers in the bottom 600 comics even, most of them will have a like or two and a handful of pageviews. That'd be pretty difficult to choose from.
Of course my mathematics aren't perfect.
I think in order to improve the algorithm, things like frequency of updates, length of being on the site, and viewer to subscriber ratios may help find potential great comics in the lower ranks where subscribers and views really wouldn't differentiate anything.