Insights into X (formerly Twitter) Algorithm: Why Your Content Gets Seen

According to insights shared by 0xTodd on X, Elon Musk’s move to open-source Twitter’s algorithm has enabled users to gain an unprecedented understanding of how content is displayed. This transparency reveals not just technical details but fundamental principles that determine content visibility in the digital age.

Key Insights Brought by Open-Sourcing

Revealing the algorithm answers long-standing questions for many users. Why do some posts go viral instantly while others get buried? The answer lies hidden within the complex, layered system employed by X. With this information made public, creators and general users can now recognize the environment in which they are posting.

Two Main Concepts of the Algorithm: Thunder and Phoenix Retrieval

At the core of X’s algorithm are two mechanisms based on different content sources. “Thunder” refers to posts from accounts you follow, forming a close and trusted content flow. Conversely, “Phoenix Retrieval” encompasses all other Twitter content, enabling discovery of new trends and insights.

Interestingly, the selection between these two sources is managed by an AI assistant called “Glock.” Glock analyzes user browsing patterns and engagement history to decide in real-time whether to display content from Thunder or Phoenix Retrieval.

Evolution of the Algorithm: From Rule-Based to Dynamic Systems

X’s algorithm has evolved from static, hard-coded rules to a more flexible, dynamic evaluation system. For example, in 2023, the system favored posts including videos and penalized those with external links. Now, it has shifted away from simple binary judgments toward more sophisticated scoring based on individual user preferences and behavior patterns.

Hidden Scoring System and Visibility Determinants

One of the most crucial secrets of X’s algorithm is the “Reputation Score” assigned to each user. This score ranges from -128 to +100 and directly influences how widely your content is seen. New accounts start with a low score and can only improve their reach through active interactions with high-reputation users. Conversely, engaging with low-quality accounts can negatively impact your score.

The algorithm also addresses “topic fatigue.” If multiple posts from the same author are posted in a short period, their ranking is intentionally lowered. Similarly, repetitive content on popular themes is penalized, favoring timely and fresh posts.

Importantly, negative feedback like muting or blocking has a much higher impact on visibility than positive reactions like likes. Extreme actions—especially blocking—can cause a sharp decline in reach, having more effect than multiple likes from loyal followers.

Differences Between Verified and Unverified Accounts

Verified accounts (with the blue check) receive clear advantages in the algorithm. Content from these accounts is more easily retrieved by Phoenix Retrieval and has a higher chance of reaching a broader audience. In contrast, unverified accounts need rapid engagement growth to reach the initial candidate pool.

Other Optimization Factors and Practical Insights

Dwell time is also a key metric. Even if users do not interact directly with a post, the time spent on the page adds points. Additionally, each tweet is evaluated independently through a “candidate isolation” mechanism, meaning failure of one post does not directly harm others.

The algorithm consciously avoids promoting old or repetitive content and places particular emphasis on video completion rates. Understanding these mechanisms is essential for developing more effective content strategies on X.

Insights for Future Content Strategies

The insights provided by 0xTodd are more than just technical knowledge—they serve as a compass for understanding the essence of expression and visibility in the digital era. By grasping how the algorithm works, users can craft more strategic and impactful content, contributing to a healthier and more diverse discourse ecosystem on the X platform. This transparency and understanding are crucial elements shaping the future of social media.