The idea is great but I believe the filter needs some tweaking to deliver actual "pog" moments. I wonder if similar thing is used internally by twitch's recommendation system.
Thanks! It's definitely a work in progress to fine tune this. We're hoping to introduce something soon that can let the viewers indicate when we've picked out something POG or not. This could later down the line feed into an ML model, but its all heuristics for now.