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X Refines Its Algorithm to Highlight Mutual Connections

X has updated its algorithm to boost mutual connections in replies, aiming to make conversations feel more community-focused and interest-driven.

X Refines Its Algorithm to Highlight Mutual Connections

X has introduced a subtle but meaningful algorithm update designed to surface posts from mutual connections more often in replies and feeds. According to product head Nikita Bier, the platform had been missing this layer of connection data, which made familiar voices less visible and left reply threads feeling less community-driven.

The adjustment is not a dramatic redesign, but it aims to make interactions feel more coherent and socially relevant. By giving more weight to people users already follow back, X hopes to encourage conversations that feel closer, more organized, and easier to navigate.

Bier also said the change should help interest-based clusters form more naturally, matching a growing demand for spaces where people can connect around shared topics. The move fits into X's broader push to support creators and original posting, following recent product updates focused on content creation and platform participation.

The shift also reflects a wider trend across social platforms, as competitors continue to fine-tune recommendation systems to build stronger communities and more personalized experiences. In that context, X's latest update is less about scale and more about shaping a more human digital environment.

As platforms keep evolving toward community-first design, this kind of refinement may influence how online conversations are discovered, organized, and experienced in the future.


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