X Algorithm Growth Hacking: A Complete Guide Based on the Open-Source Code
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A definitive, tactical reference book for growing on X in 2026, based on the open-sourced Grok-based ranking algorithm. Covers the scoring formula, engagement weights, out-of-network discovery, 12 high-impact strategies, myth-busting, and a 30-day growth sprint.
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X Algorithm Growth Hacking — Router
Load this book when:
- You are planning how to grow an X / Twitter account in 2026 and want tactics grounded in the open-sourced ranking code, not folklore.
- You are diagnosing why a post or account is getting low reach (dead distribution, sub-65 throttle, link penalty).
- You are writing an individual X post or thread and want it engineered for the current Grok-based ranker.
- You are running a structured growth sprint or setting an account's posting operating procedure.
- You need the current (2026) factual model of how X candidate generation, scoring, and filtering work.
Audience & governance: Marketplace (public) reference book. Sources are attributed to the open-source repo xai-org/x-algorithm and named secondary analyses (see Currency & Sources page). Where a number is the author's inference rather than code-confirmed, it is marked as such.
Scope of validity: Built on the xai-org/x-algorithm open-source release (first published 2026-01-20; major update 2026-05-15). xAI ships updates on a ~4-week cadence, so treat weight values and feature lists as point-in-time. Last reviewed: 2026-06-14. Refresh cadence: every 4 weeks against the repo changelog.
Repository overview, license, language split, and exactly what is vs isn't in the open source: see Ch 13 — Currency & Sources.