X Twitter Algorithm Breakdown: Get More Views Now (Sept 2025)

2025-10-15 19:086 min read

In this video, Nikita Beer, head of product at X, discusses the recent update of the open-source algorithm that determines how posts go viral. He explains how users can access this algorithm on GitHub and highlights key ranking factors that influence post visibility. The video breaks down various engagement signals and penalties that impact the algorithm, including likes, retweets, and user interaction metrics. Beer emphasizes the importance of content quality, recency, and user engagement strategies to optimize post performance. He encourages viewers to consider timing when posting content and to provide valuable insights to increase engagement. Finally, the video shares tips on how to create compelling content and the significance of author reputation and audience engagement for viral success.

Key Information

  • Nikita Beer, the head of product at X, has updated the open-source algorithm used to determine if posts go viral, which can be found on github.com/twitter-algorithm.
  • The algorithm accounts for various engagement metrics such as likes, retweets, replies, clicks, and video watch times, assigning different weights to them.
  • Engagement signals, author relationships, timing, and content quality are essential for boosting a tweet's visibility, with social proof being a lesser but still important factor.
  • Posts need to be made when the audience is most active for maximum engagement, and visuals or media can provide additional boosts to the post.
  • It's crucial to avoid penalties from controversial topics and maintain high-quality content for better engagement and visibility.
  • The effectiveness of tweets can also be enhanced by a good bio, and the relevance of hashtags to the current trending topics can make a significant difference.

Timeline Analysis

Content Keywords

Nikita Beer

Nikita Beer, the head of product at X, has updated the open-source algorithm that determines whether a post goes viral or not. This algorithm is available on GitHub.

Twitter Algorithm

The updated Twitter algorithm includes various components that influence the virality of posts. Factors like likes, retweets, replies, and bookmarks represent engagement signals used to assess how likely a post is to trend.

Engagement Signals

Key engagement signals include likes, retweets, replies, and bookmarks. These signals are important for determining visibility on users' feeds.

Content Quality

Content quality plays a crucial role in engagement. Factors like video duration, relevance, and the use of high-quality media impact the effectiveness of posts.

Recency

The recency of a tweet is essential for its visibility. Newer posts are more likely to receive engagement due to their freshness.

Posting Strategy

To maximize engagement, users should post when their audience is most active, ensuring that content is seen by the maximum number of people.

Unexpected Insights

Sharing unexpected insights within a specific subject area can increase engagement and time spent by users on a post.

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