The definitive guide to maximizing reach on X (Twitter), based on reverse-engineering the open-source algorithm
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Updated
Jan 24, 2026 - HTML
The definitive guide to maximizing reach on X (Twitter), based on reverse-engineering the open-source algorithm
Source code for Twitter's Recommendation Algorithm.
Este repositório contém um clone do algoritmo do Twitter implementado em Scala. O código não foi desenvolvido por mim, mas encontrado na internet. Ele representa um exemplo de implementação do algoritmo do Twitter.
Mini-Recsys: A Twitter Recommender Mimic 🧩🕸️📐
[ARCHIVED — merged into github.com/howardleegeek/growth-os/tree/main/clawmarketing]
Growth 2.0: an autonomous evolutionary loop that hacks Twitter's post-December-2025 ranking algorithm. Karpathy autoresearch × EvoHarness tree search × offline Twitter simulator × Grok opponent study. Encodes lessons from Oyster Labs' Growth 1.0 bootstrap — a hunger game of content strategies inside a simulation arena.
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