Throughline models 125 conference talks as a knowledge graph to build learning paths
JeremyCMorgan · x · 2026-11-03
Jeremy Morgan highlights Throughline, an open-source project that flips conference recommenders: instead of matching talks to your interests, it asks what you need to learn first. It models GitHub Universe 2026's 125 talks as a FalkorDB knowledge graph of concepts and prerequisites, then outputs a personalized learning path — which talks to attend, what to learn beforehand, and where, with evidence for each step.
Stack: FalkorDB (one-line Docker) + Python; repo includes a full write-up and demo script. A reusable pattern for turning any event schedule into a prerequisite-aware curriculum.
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