The X (Twitter) algorithm
The X algorithm is the recommendation system that ranks and orders posts in each user's feed by predicted engagement, weighting replies and reposts heavily while penalizing signals like external links and blocks.
X ranks content in two feeds: the chronological Following feed and the algorithmic For You feed, where most discovery now happens. When a post goes out, the system scores it against a model of what each viewer is likely to engage with, then decides how widely to circulate it. Early engagement matters most. A post that draws quick replies and reposts gets shown to a larger audience; one that gets ignored in its first minutes rarely recovers.
The weighting is the part most people get wrong. A reply is worth far more than a like, and a repost more than a scroll-past. X has said conversation signals carry the most weight, which is why a post that starts an argument outruns one that just gets tapped. The model also reads negative signals: mutes, blocks, and reports suppress reach, and outbound links have historically been dampened because they pull people off the platform.
You cannot reverse-engineer the exact scoring, and chasing it is a losing game. What holds up is the underlying behavior the algorithm is trying to reward: posts people reply to. Write things worth answering, reply to others in your first hour, and keep the link in a follow-up rather than the main post. That aligns you with the ranking instead of fighting it.
Frequently asked questions
how does the x algorithm decide what to show
does the x algorithm punish links
why do replies matter more than likes on x
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