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Add algorithm optimization guide from source code analysis #2

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Copilot Jan 30, 2026
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Add comprehensive Twitter algorithm optimization guide
Copilot Jan 30, 2026
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Update README to link to algorithm optimization guide
Copilot Jan 30, 2026
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10 changes: 10 additions & 0 deletions README.md
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X's Recommendation Algorithm is a set of services and jobs that are responsible for serving feeds of posts and other content across all X product surfaces (e.g. For You Timeline, Search, Explore, Notifications). For an introduction to how the algorithm works, please refer to our [engineering blog](https://blog.x.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm).

## 📖 New: Algorithm Optimization Guide

Want to understand how to optimize your tweets and account for maximum visibility? Check out our **[Twitter Algorithm Optimization Guide](docs/TWITTER_ALGORITHM_OPTIMIZATION_GUIDE.md)** - a comprehensive analysis of how the algorithm ranks tweets, calculates user reputation (TweepCred), and determines content visibility. This guide includes:

- How tweet ranking actually works (engagement metrics, weights, scoring)
- TweepCred calculation and the hidden follower/following ratio penalty
- Actionable tips to increase tweet visibility and go viral
- What signals hurt your account and how to avoid them
- Advanced techniques from source code analysis

## Architecture

Product surfaces at X are built on a shared set of data, models, and software frameworks. The shared components included in this repository are listed below:
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