I am thinking to build accounts lists to follow at first. Then I will load them to scraped users list in followliker so that my accounts will follow them. I am hoping that I will increase the followback ratio with this method. My process to build such lists will be just like this; I will find similar accounts in my niche whose following and follower counts are both high. Such accounts most probably gain followers via the search/follow method same as like me. So, those followers have high potentials to follow back. But some people just buy fake followers or use #autoollowback like hashtags at early stages of accounts in order to boost them. It is also possible that some of those followers may be nothing more than thrash. What I mean by thrash is that they may be irrelevant to my niche or they may be from irrelevant (undesired) countries. Most importantly, they may be inactive for very long times. I just want to filter those accounts from my scraped users list in order not to spend my follows to them. So, I need a filtering algorithm which will have many steps. Some of these steps are just obvious and basic like checking following/follower ratio, last tweet time, etc. Some of automation bots on the shelf have already these features. However, I want advanced features. In this thread, I want you to write your reviews based on your experience. What points should I check in this filter? How can I sense and eliminate thrash accounts? How twitter security guys do this filtering so they can suspend us anytime they want? You can write your opinions and features that you want in this filtering algorithm even they are very extreme. Just let us discuss the algorithmic complexity of implementation of that feature. When I finish the first version you can be sure that I will share it with the contributors.