Developer builds graph-based content recommender that surfaces format over topic matches

A developer created CreatorRoute, a content recommendation system that models short-form video content as a weighted graph rather than a simple dictionary lookup. Each video is treated as a node, with edges formed between any two videos sharing at least one attribute such as niche, hook type, editing style, or call-to-action type. Edge weights are calculated by inverting the count of shared attributes, so videos with more similarities receive lower-weight paths and rank as closer matches. The system combines Dijkstra's algorithm for ranked recommendations with breadth-first search for broader content discovery. An unexpected outcome was that the graph prioritized format similarity over topic, surfacing videos with matching style and structure even when their subject matter differed entirely.