X Algorithm Score Calculator
Built on the engagement weights X open-sourced with the Phoenix For You ranker on 13 August 2026, Apache 2.0. Not a guess at the algorithm, the numbers X shipped.
What is the X algorithm score?
X open-sourced its Phoenix For You ranker on 2026-08-13 under Apache 2.0, including the engagement weights. A copy link share scores 20.0, a reply 5.0, a repost 1.0, a like 0.5. Bookmarks and profile clicks score 0. A report scores -234, which cancels 468 likes. This calculator applies those exact numbers to your post.
Enter the counts from one post
Weighted zero in the published ranker
Phoenix score
0
0 likes worth of ranking score.
Every published weight
The full table from the open-source release. The middle column converts each weight into likes, because a like at 0.5 is the unit most people already have a feel for.
| Action | Weight | In likes | What it means |
|---|---|---|---|
| Copy link share | 20 | 40 likes | Someone taps the share icon and copies the post URL, usually to paste it somewhere off X. |
| Your reply to a mutual, on your own post | 20 | 40 likes | You reply to someone you follow who also follows you, inside your own thread. The one action here that is entirely up to you. |
| Reply | 5 | 10 likes | Any reply from any account, including short ones. |
| Quote post | 5 | 10 likes | Someone reposts with their own commentary on top. |
| DM share | 5 | 10 likes | Someone sends the post to another account in a direct message. |
| Follow from the post | 4 | 8 likes | A reader follows you after seeing this post. |
| Generic share | 2 | 4 likes | A share through the OS share sheet or any destination that is not copy link or DM. |
| Repost | 1 | 2 likes | A plain repost with no added commentary. |
| Like | 0.5 | 1 like | The cheapest positive signal on the list, and the one most people optimize for. |
| Link click | 0.2 | 0.4 likes | A reader opens a link inside the post. |
| Media expand | 0.05 | 0.1 likes | A reader taps an image or video to open it full size. |
| Bookmark | 0 | 0 likes | Weighted zero. Bookmarks contribute nothing to the ranking score. |
| Profile click | 0 | 0 likes | Weighted zero. A reader opening your profile does not move the post. |
| Report | -234 | -468 likes | The single most expensive event that can happen to a post. |
| Mute the author | -58.8 | -118 likes | A reader mutes you after seeing the post. |
| Not interested in this post | -43.2 | -86 likes | A reader picks "Not interested in this post" from the post menu. |
| Block the author | -31.2 | -62 likes | A reader blocks you after seeing the post. |
Source: the Phoenix For You ranker, open-sourced by X on 2026-08-13 under the Apache 2.0 license.
Four things the real weights change
Stop optimizing for likes
A like is 0.5, the second cheapest positive action on the table. Two hundred likes score 100 points. Five copy link shares score the same. Write posts people want to send somewhere, not posts people tap.
Bookmarks are decoration
Bookmark weight is 0. Profile click weight is 0. Every "bookmark this" and "link in bio" call to action is asking readers to do something the ranker does not count.
One report undoes a good day
Report is -234, or 468 likes. Mute is -58.8. Not interested is -43.2. Engagement bait and mass tagging are the fastest routes to all three, which is why they cost more than they return.
Replying to mutuals is worth 20.0
Your own reply to a mutual inside your own thread carries the same weight as a copy link share. It is the only 20.0 action you control directly, and most accounts never do it.
What this calculator does not do
It does not predict reach. The published weights turn engagement into a ranking score for one post. Reach also depends on candidate retrieval, how much affinity a reader has with you, recency, and whether any visibility filtering is applied to the post or the account.
It does not read anything from X. There is no API call, no login, and no data leaves your browser. You type the counts you can already see in your own post analytics.
It does not claim the running production system is identical to the open-source snapshot. If X retunes the weights, this page is a record of what was published on 2026-08-13.
Knowing the weights is step one
The 20.0 actions come from posting things worth forwarding, consistently. OpenTweet schedules your posts, recycles the ones that already earned shares, and lets an AI agent post through the API or MCP.
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X algorithm score FAQ
What are the X algorithm weights?
X published them with the Phoenix For You ranker on 2026-08-13 under Apache 2.0. Copy link share 20.0, author reply to a mutual on your own post 20.0, reply 5.0, quote 5.0, DM share 5.0, follow 4.0, generic share 2.0, repost 1.0, like 0.5, link click 0.2, media expand 0.05, bookmark 0, profile click 0. Negatives: report -234, mute -58.8, not interested -43.2, block -31.2.
Do bookmarks help the X algorithm?
No. In the weights X published, a bookmark carries a weight of 0, so it adds nothing to a post ranking score. Bookmarks are still useful as a private signal that your content is worth keeping, and creators can see the count, but asking for bookmarks buys you no reach in the released ranker.
How many likes is one repost worth on X?
Two. A repost is weighted 1.0 and a like is weighted 0.5, so one repost equals two likes. A quote post is weighted 5.0, which is ten likes, so asking for commentary rather than a plain repost is worth five times as much.
How much does one report cost on X?
A report is weighted -234. A like is 0.5. One report therefore cancels 468 likes of ranking score. Mute is -58.8 (117.6 likes), not interested is -43.2 (86.4 likes), and block is -31.2 (62.4 likes). Avoiding negative signals matters more than chasing likes.
Why is a copy link share worth 40 likes?
A copy link share is weighted 20.0 against a like at 0.5, so the ratio is 40 to 1. Copying a link is what someone does when they want to paste a post into Slack, a group chat, or a newsletter, which X treats as a much stronger quality signal than a tap on the like button.
Is this the real X algorithm?
These are the real published weights from the open-source Phoenix release. They are one part of ranking. X also applies candidate retrieval, author and reader affinity, recency, and visibility filtering, and the running production system can differ from any given open-source snapshot. This calculator applies the published numbers and does not guess at the rest.
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