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X open sourced their algorithm so i read through it and used claude code to write a plain english breakdown of all steps
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Solid breakdown, the candidate sourcing phase is way more interesting than I expected, especially how they handle cold-start users. Wondering if the ranking model uses any real-time signals or if it's all batch-computed embeddings under the hood.
Useful breakdown but the real question is how much of the actual ranking logic is even in there. Open sourcing an algorithm doesn't mean much if the training data and weighting constants are hidden somewhere else. Did you notice any obvious gaps where key decision points seem completely missing from what they published?
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