ReplyKit
  • How it works
  • Radar
  • Pricing
  • FAQ
Web appAdd to Chrome →

Tweet ideas

See all →
  • April Fools
  • Christmas
  • New Year
  • Valentine's Day
  • Halloween
  • Thanksgiving
  • Black Friday
  • Mother's Day
  • Father's Day
  • Birthday
  • Monday motivation
  • Friday
  • Good morning
  • Weekend
  • Summer
  • Product launch
  • Follower milestone
  • Hiring
  • Build in public
  • Founder
  • Funny
  • Motivational
  • Back to school
  • Earth Day
  • Work from home

Reply playbooks

See all →
  • SaaS
  • Startups
  • AI
  • Crypto
  • Marketing
  • Coding
  • Design
  • Product management
  • Data science
  • Sales
  • Fitness
  • Nutrition
  • Personal finance
  • Investing
  • Real estate
  • E-commerce
  • Freelancing
  • Content creators
  • Writing
  • Productivity
  • Career
  • Education
  • Gaming
  • Photography
  • Parenting
ReplyKit

Finds the posts worth replying to and drafts three replies in your voice. You post them yourself, always.

Product

  • Chrome Web Store
  • Mobile web app
  • Pricing
  • FAQ
  • Changelog

Resources

  • X reply generator
  • LinkedIn comment generator
  • Reddit reply generator
  • Guides
  • Tweet ideas
  • Reply playbooks
  • Compare
  • Blog

Company

  • Privacy policy
  • contact@replykit.eu
  • @FredericTheTall
  • Built by Frédéric Legrand

© 2026 ReplyKit · Paris

Not affiliated with X, LinkedIn or Reddit

ReplyKit on PeerPushReplyKit - Featured on Startup FameFeatured on Wall of Tools

Guide · 11 min read

Updated 25 Oct 2026

How the X algorithm works in 2026, in plain English

How X picks the posts in your For You feed in 2026, what the Grok-based ranker rewards and punishes, and what that means for getting more impressions.

Author

Frédéric Legrand builds ReplyKit on the side of a day job shipping computer-use agents. @FredericTheTall

In this guide

  1. The short version
  2. Stage 1: where candidate posts come from
  3. Stage 2: filters
  4. Stage 3: the ranker
  5. What the algorithm rewards
  6. What the algorithm punishes
  7. Replies have their own ranking
  8. Common myths
  9. How to get more impressions on X

The short version

X's For You feed is built in three stages. It gathers candidate posts from accounts you follow and from accounts you do not, filters out what you should not see, then ranks what is left with a Grok-based model that predicts how you will react to each post. Posts you are likely to reply to, repost, read or click rise. Posts you are likely to mute, block or mark as not interesting sink.

xAI published the code for this system in January 2026 and has updated it in public since. The exact weights change between releases, so this guide sticks to the parts that hold across versions and what they mean for you.

Stage 1: where candidate posts come from

Every time you open For You, X collects a pool of recent posts that might interest you from two places:

  • In-network: posts from accounts you follow, and engagement from them, such as what they reposted.
  • Out-of-network: posts from accounts you do not follow, found because people with similar interests engaged with them or because they match topics you engage with.

Out-of-network is where growth comes from. It is how a post from a small account reaches thousands of people who have never heard of it. To get there, a post first has to do well with the people who see it early, which is usually your followers and anyone reading the thread you replied in.

Stage 2: filters

Before ranking, X removes posts that should not be shown. Typical filters:

  • Posts from accounts you blocked or muted, or containing words you muted.
  • Posts you have already seen, and duplicates.
  • Content that breaks X's rules or is labelled for limited visibility.
  • Posts that are too old for the feed you are looking at.

Stage 3: the ranker

The remaining posts are scored by a transformer model built on Grok. For each post, it predicts the chance that you will take each of a set of actions, then combines those chances into one score. The actions include positive ones:

  • Reply, repost, quote, like, share.
  • Open the post, expand it, spend time reading it, watch its video.
  • Click the author's profile, follow the author.

And negative ones: mark as not interested, mute the author, block the author, report the post. Negative predictions pull the score down hard.

Finally, X spreads authors out, so one account cannot fill your feed even if all its posts score well. That is why a burst of ten posts in an hour does not get you ten times the reach.

What the algorithm rewards

Turning the mechanism into habits:

  • Posts people answer. Replies, especially conversations where you answer back, are among the strongest positive signals. Write posts that give people something to respond to.
  • Posts people stop for. Time spent reading and "show more" clicks count. A first line that earns attention matters.
  • Posts that make people curious about you. Profile clicks and follows signal that your account, not just the post, is worth showing.
  • A clear topic. The model shows posts out of network when it predicts a match. Accounts with a consistent topic are easier to match with the right strangers.
  • Native media. Images and videos uploaded to X earn opens and watch time.

What the algorithm punishes

  • Content that gets muted or blocked. Rage bait and spammy posts can win likes and still lose reach, because a share of viewers react negatively.
  • Being reported. The heaviest negative signal.
  • Spam patterns. Duplicate posts, mass tagging, hashtag stuffing and automated activity.
  • Posts nobody engages with early. If your first viewers scroll past, the post rarely reaches out-of-network feeds.

Replies have their own ranking

Under every post, replies are ranked too. X says replies from paid subscribers get priority, with the most on the highest tier, though it has not published by how much. Premium users can also downvote replies, choosing reasons such as spam or AI-generated, and that feedback lowers a reply's position. Replies from accounts the reader has a relationship with, such as mutuals, were reported to get a lift in mid-2026.

For anyone growing by replying, the takeaway is the same as for posts: replies that add something and start a conversation rise; generic ones sink.

Common myths

  • "Links are banned from reach." The published code has no explicit rule against links, but many creators see lower reach on link posts, likely because people click away rather than engage. Putting the link in a reply is a safe habit.
  • "Hashtags boost reach." Not meaningfully. One relevant tag is fine; several look like spam.
  • "Deleting a post that flopped helps." There is no evidence it does. Learn from it and move on.
  • "You have to post 10 times a day." Author diversity limits how much of one feed you can fill. Fewer, better posts plus replies work better.
  • "Premium is required to get reach." It helps your replies rank, but accounts without it grow too.

How to get more impressions on X

Putting it all together, the habits that raise impressions in 2026:

  • Reply to fresh, on-topic posts from bigger accounts, so their readers see you.
  • Post every day inside a clear topic.
  • Lead with a strong first line and keep one idea per post.
  • Answer replies on your posts quickly, especially in the first hour.
  • Use images and short video where they help.
  • Avoid anything that makes people mute you, even if it would get likes.

ReplyKit's Opportunity Radar applies the same logic to replies: it scores posts in your X feed on relevance, the author's followers, freshness, momentum and how crowded the replies are, so your replies land where they will be seen.

Frequently asked questions

Is the X algorithm open source?

Yes. xAI published the code of X's recommendation system in January 2026 and updates it in public. Some parts, such as the trained model weights and safety systems, are not fully reproducible from the published code.

What does the X algorithm prioritize in 2026?

Posts it predicts you will reply to, repost, read, click or follow the author of, from accounts you follow and from accounts that match your interests. Posts it predicts you would mute, block, report or mark as not interesting are pushed down.

Does X Premium boost reach?

X gives replies from paid subscribers priority in reply ranking, but has not published a figure. Premium does not guarantee reach for your posts; how people react to them matters more.

Why did my impressions drop suddenly?

Usually because recent posts got less early engagement, you posted less, or you drifted off your usual topic. Less often, the account has a visibility restriction. Our guide on X shadowbans explains how to tell the difference.

Read next

  • How to grow on X (Twitter) in 2026: a step-by-step guide
  • Shadowbanned on X? How to check, and what to do
  • How to go viral on X
  • X reply strategy: how to write replies that get you followers

Built by · One person

ReplyKit is a solo project. Tell me what you need.

There is no company behind this, just one developer who reads every message. If ReplyKit does not fit how you work, a feature, a platform, a different style of reply, say so. Requests from users decide what ships next.

Prefer email? contact@replykit.eu

Goes to my phone as a Telegram message, not into a queue.

← All guidesAdd to Chrome, free →