Does X's Algorithm Love You?
Get your Algorithm Compatibility Score out of 100. We analyze the metrics X's algorithm actually cares about - bookmarks, replies, virality, and reach.
How it works
- 1
Enter a handle
Type any public X username. No login, no password, and nothing is posted to the account.
- 2
We read recent posts
The scorecard reads the account's latest original posts and its profile, then scores five signals against benchmarks for its size.
- 3
See the working
Every signal shows the numbers it was scored on, what it adds to the total, and which fix is worth the most points.
What the score measures
Bookmark power
Conversation spark
Virality factor
Reach efficiency
Account authority
Overall score
What this scorecard actually measures
The PlayerSells X algorithm scorecard combines five signals into one 0-100 number, and it weights them bookmark power 30%, conversation spark 20%, virality 20%, reach efficiency 15% and account authority 15%. Those weights are this model's assumptions about what X rewards, taken from the ranking code X published, and not a measurement of X's live ranking system. They are printed here so a score can be reproduced instead of taken on trust.
Every engagement threshold in the model moves with audience size, because engagement rate falls as an audience grows. An account with 5,000 followers is graded excellent at a 1% bookmark-to-view rate and poor at 0.05%; an account with 1,000,000 followers is graded excellent at 0.5% and poor at 0.03%, a bar 2 times lower. Which band an account lands in matters more than it looks: across the 459,415-account sample PlayerSells measured from its 22,837,969-account X index on 5 October 2026, 10,000 followers is larger than 93.2% of them, so all but about 6.8% of indexed accounts are graded on the smallest-account band.
The median account in that same index has 490 followers, the 90th percentile has 6,183 and the 99th has 76,100, measured 5 October 2026. 1,000,000 followers is larger than 99% of it. The scorecard reads an account's most recent original posts, drops retweets, prefers the posts that carry a public view count, and refuses to score fewer than 3 of them rather than grading an account on one lucky post.
Follower percentiles are measured over a 459,415-row sample of the 22,837,969 X accounts PlayerSells indexes, on 5 October 2026. They describe the indexed population, not every account on X. The five weights and every benchmark rate are the model's own parameters and are not published by X.
How the five signals are weighted
Each category is scored 0-100 on its own, then combined with the weight below. This is the whole of the arithmetic.
| Signal | Weight |
|---|---|
| Bookmark powerBookmarks per view on recent posts. Bookmarks are private, so they are hard to inflate, and this model gives them the largest weight. | 30% |
| Conversation sparkReplies per view. A post people answer is a post they read, and this model counts that as a strong signal. | 20% |
| Virality factorReposts and quotes per view: how often readers pass a post on to their own followers. | 20% |
| Reach efficiencyViews per post as a share of followers, against what accounts of the same size usually reach. | 15% |
| Account authorityProfile signals: verification, following against followers, account age, audience size and posting rate. | 15% |
What each score band means
The band is a label on the combined score, not a separate judgement. These are the exact cut-offs the tool applies.
| Score | Band |
|---|---|
| 90-100 | Algorithm EliteX's algorithm loves this account. Content is being massively amplified across the platform. |
| 75-89 | Algorithm FavoriteStrong algorithmic performance. Tweets consistently get prioritized in feeds and recommendations. |
| 60-74 | Strong PerformerAbove-average algorithm compatibility. Content receives good distribution with room for optimization. |
| 45-59 | AverageStandard algorithmic performance. Tweets reach expected audience with no special boost or suppression. |
| 30-44 | Needs WorkBelow-average algorithm signals. Content is getting limited distribution - engagement strategy needs tuning. |
| 0-29 | Algorithm GhostVery weak algorithm signals. Tweets are barely being distributed. Account may need a content strategy overhaul. |
What the scorecard cannot see
Everything here is computed from counters X shows publicly on a post: views, bookmarks, replies, reposts, quotes, plus the profile’s follower and following counts, its age and its verification state. X ranks on signals it does not publish - dwell time, profile visits, negative feedback, the author-reader affinity graph - and none of those reach this page. A high score therefore means the account looks strong on the signals anyone can check, not that X is amplifying it. The score is also a snapshot: it is recomputed from current counters on every run and is cached for 15 minutes, so a post that is still travelling will move it.
One more limit worth stating plainly. The benchmark bands are step functions, so an account just over a threshold is graded against a materially easier bar than one just under it. That is a property of the model, not of X, and it is why the page prints the bands instead of hiding them behind a single number.
Frequently asked questions
What is the X Algorithm Score?
The X Algorithm Score is a 0-100 rating that measures how well your X (Twitter) account's content aligns with X's algorithm preferences. It analyzes five key metrics the algorithm prioritizes: bookmark rate, reply engagement, virality (retweets + quotes), reach efficiency, and account authority signals.
What metrics does X's algorithm prioritize?
Based on X's publicly leaked algorithm code, bookmarks are the #1 signal because they're private and can't be gamed. Reply engagement, retweet/quote tweet ratios, and view-to-follower reach are also heavily weighted. Account signals like verification status, follower ratio, and account age contribute to algorithmic trust.
How can I improve my X Algorithm Score?
Focus on creating bookmark-worthy content (threads, tips, guides), spark conversations through questions and hot takes, post consistently (2-5 times daily), engage with replies on your tweets, and build a healthy follower-to-following ratio. Avoid mass following, spam-like behavior, and low-quality reposts.
Why are bookmarks the most important metric?
Bookmarks are the strongest algorithm signal because they represent genuine user interest. Unlike likes which can be done casually, bookmarks are private - users only bookmark content they truly want to revisit. X's algorithm weighs this signal heavily as an indicator of high-quality content.
Is the Algorithm Score tool free?
Yes, the PlayerSells X Algorithm Score tool is completely free to use with no registration required. You can check any public X account and get a detailed breakdown of algorithm compatibility metrics.
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PlayerSells is not affiliated with X Corp. The five weights, the score bands and every benchmark rate on this page are our own model’s parameters, informed by the ranking code X published, and not figures X endorses or publishes. Follower percentiles are our own measurement, taken on 5 October 2026 over a 459,415-account sample of the 22,837,969 X accounts we index, and describe that index rather than every account on X. Post metrics are read live from public posts at the moment you run the tool.