X ALGORITHM LAB · SOURCE-BACKED

X Ranking Signals Explained

The ranking score combines predicted viewer actions; it is not a universal points table.

Last verified: 2026-09-29Source facts ≠ growth guarantees

What the source says

Code factPredicted actions include likes, replies, reposts, quotes, shares, clicks, dwell, follows, and negative feedback.

How to interpret the signal

A ranking weight is applied to a predicted outcome for a particular viewer. It should not be read as a public exchange rate between raw likes, replies, or reports. The useful mental model is a portfolio of possible outcomes shaped by viewer context.

A practical example

Decision exampleTranslate the mechanism into a testable choice

A technical post may earn fewer raw reactions than a broad joke while still matching the intended audience more closely. Optimize the promise, evidence, and audience fit together instead of trying to maximize one visible counter.

Action for builders

CompoundX recommendationUse a portfolio of signals: earn attention, deliver value after the click, and create a natural reason to respond. Do not optimize copy for a single action in isolation.

Before publishing, ask whether the opening earns attention honestly, the body rewards the click, the topic fits the intended audience, and the post avoids a likely negative response such as mute or report.

Evidence boundary

This page explains the public repository and official documentation as verified on 2026-09-29. Production experiments and configuration can change, so no recommendation here guarantees distribution.