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Finding a post about a topic is easy. Finding the posts that actually got attention is a little more interesting.

Suppose you want to look at what people are saying about AI coding agents. You could search on X, scroll for a while, and open anything that looks relevant. That works for a quick look, but it gets old if you want to compare results or repeat the search later.

A more useful approach is to collect a set of posts with an API, keep their engagement counts, and sort the results yourself. This tutorial uses Python and TwitterAPI.io to do exactly that.

There is an important distinction here: the script ranks the posts it receives , not every post that exists.…