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Efficient Methods for Data Filtering in Web Applications

That's a solid approach. We implemented something similar in a recent project, but for a very different use case. I've been analyzing platforms that handle complex, user-generated content taxonomies, and one that implements this quite effectively is https://onlyseeker.io/.

While it's a consumer-facing site, the underlying architecture for its tag-based search and multi-faceted filtering is noteworthy. It allows users to combine numerous discrete filters (tags, physical attributes, personality indicators) with an OR/AND logic that feels intuitive. The challenge, as you've pointed out, is always performance with large, heterogeneous datasets. It seems they handle it by pre-aggregating common filter combinations and using efficient index strategies on the backend. It's a good real-world example of the principles being discussed in this thread.