Are replies weighted more than likes on X?

Yes — X's own open-sourced ranking code showed replies weighted many times more heavily than likes.

Does posting time affect reach on X?

Early engagement velocity is a known factor, so posting when your audience is active still helps, alongside content that invites replies.

Do links out of X hurt reach?

Public reporting and the open-sourced code suggest content that keeps users on-platform is generally favored over posts that primarily link away.

Does X rank scheduled posts lower than posts made in the app?

There is no public evidence that it does. A post published through X’s official API is a normal post; what affects reach is the content itself and how people respond to it in the first hours.

How do I find out what works for my own audience on X?

Compare each post with your account’s own median in X’s analytics, change one thing at a time (format, hook, posting time) for three or four weeks, and keep what beats the median rather than chasing a general rule.

How the X algorithm works

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By Angelina F. · Updated 23 September 2026 · 7 min read

X's ranking is partly open-sourced but not fully public. It weighs early engagement after posting, replies and conversations, content that keeps people on X rather than linking out, and the poster's standing. To grow, post consistently, write posts that earn replies, reply quickly and put links in a reply; SkedCast schedules posts and threads to X ahead.

Key takeaways

X (then Twitter) open-sourced portions of its recommendation algorithm, which showed reply engagement weighted many times more heavily than a like — an unusually direct public confirmation.
Algorithms are proprietary and change often — treat public signals as directional, not guaranteed.
Posting consistently matters more than gaming any single ranking factor.

X algorithm: publicly known ranking signals

Reply engagement, weighted far more heavily than likes per the open-sourced code
Engagement velocity shortly after posting
Content that keeps users on-platform, versus posts that link away
Account-level signals like follower relevance and past interaction history

What this means for a posting schedule

Posts that genuinely invite replies tend to outperform ones optimized only for likes. Consistent, well-timed posting for early velocity still matters, but content that sparks conversation is the stronger lever per X's own disclosed weighting.

What SkedCast can and cannot influence

SkedCast schedules and paces posts reliably; it does not influence how X's recommendation system scores an individual post's replies or engagement.

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FAQ

Are replies weighted more than likes on X?: Yes — X's own open-sourced ranking code showed replies weighted many times more heavily than likes.
Does posting time affect reach on X?: Early engagement velocity is a known factor, so posting when your audience is active still helps, alongside content that invites replies.
Do links out of X hurt reach?: Public reporting and the open-sourced code suggest content that keeps users on-platform is generally favored over posts that primarily link away.
Does X rank scheduled posts lower than posts made in the app?: There is no public evidence that it does. A post published through X’s official API is a normal post; what affects reach is the content itself and how people respond to it in the first hours.
How do I find out what works for my own audience on X?: Compare each post with your account’s own median in X’s analytics, change one thing at a time (format, hook, posting time) for three or four weeks, and keep what beats the median rather than chasing a general rule.