The first version of my social monitoring stack collected a lot of data. That was not the same thing as producing insight. Every polling cycle gave me fresh JSON. New stats. New posts. New comments. Profile snapshots. Search results. It felt productive. It was mostly noise. Because the real difficulty in social monitoring is not getting the data. It is answering the question: what changed here that is actually worth somebody's attention? That is the whole product problem. This post is about the change-detection layer I wish I had built earlier: how I classify changes, which ones deserve alerts, how I implement the logic in JavaScript and Python, and how a system like SociaVault helps by turning collection into the boring part. Collection Is Table Stakes By now, most people reading Dev.to know how to hit an API, queue jobs, or scrape a page. That part is solvable.…