Rank your accessible post history by the repost column and your most retweeted tweet is the first row. X gives you no way to run that sort, so most people end up typing a minimum repost number into search and hoping the answer falls above the line they picked.
Manual: open Advanced Search, guess a minimum repost figure, read the Top tab, then open posts one at a time to compare. Circleboom: one sortable table where the repost column ranks every accessible tweet from highest to lowest, pulled through authorized X Enterprise API access.
→ most retweeted tweet on Twitter
No threshold to guess, and no post left unopened.
How to see your most retweeted tweet on Twitter, step by step
Six steps, one sort.
Connect the account that holds the history
- Log in to Circleboom Twitter then hand it the X handle whose posts you want ranked.
- Move into the X Post Planner menu, which houses the analytics dashboards.
Rank the whole history by one column
- Open Post Analytics and give the table a moment to load your accessible tweets. Each row is one post; each column is one metric.
- Sort by the repost column, descending. Every accessible tweet reorders behind that single click, and the first row is your most retweeted tweet.
Read the top row before you act on it
- Check the impressions and likes sitting in the same row. A repost count means one thing on a post 400 people saw and something else entirely on a post 40,000 people saw.
- Take the action from inside the table: reschedule the post, queue it for auto-retweet, or open it in the AI rewrite composer.
The sequence holds up because each step removes a different kind of error. Connecting first means the ranking runs on your own authorized data rather than on what a public search page is willing to show. Sorting before reading means you never have to guess a cutoff.
And reading the row before acting means you do not rebuild a post that only traveled because it reached a lot of people.
At a glance: connect the account, open the analytics table, sort by reposts, read the top row against its neighbors.
On screen: pulling the list of accounts behind a single post's repost count, once you know which post to pull it for.
https://www.youtube.com/watch?v=aoBQHepQ67s
Why X's own search cannot rank your posts by reposts
X's search will filter your posts by reposts, but it will not order them by reposts. Those are different operations, and the difference is the whole problem.
The threshold you have to guess first
Advanced Search takes a minimum repost figure and returns everything above it. To use it you have to already know roughly what your ceiling is. Set the floor at 500 and a 300-repost best post disappears. Set it at 5 and you get years of ordinary posts back in a feed you now have to read by hand.
Then there is the ordering.
X describes the results under the Top tab as ranked by relevance. Per X's own search result FAQs, that relevance factors in how much interaction a post attracted, the keywords it contains and other signals.
Relevance is not a repost ranking. The post sitting first in that list is not guaranteed to be the post with the most reposts, and nothing on the page tells you which is which.
Ranking removes both problems at once. A sorted column has no floor to set and no relevance model between you and the number. Both of those disappear the moment you see your most retweeted tweet inside a table instead of a search box.
The same gap shows up whenever people study how to go viral on Twitter using search alone. You can find posts that crossed a line. You cannot see the line itself.
What a repost signals that a like does not
A repost drops your words into somebody else's feed with their name on the delivery. That is what makes it a different measurement.
X's own description is blunt about the mechanics: a repost appears as a normal post with your name and username on it, marked with the repost icon and the name of the person who reposted it.
Two names now sit on one piece of writing. The person doing it is not reacting to your post, they are republishing it to their own followers and accepting whatever that says about them.
A like costs nothing socially. A repost costs a little reputation.
So each column answers a different question:
- Likes tell you what your audience approved of.
- Reposts tell you what your audience would sign their own name to.
- Replies tell you what your audience wanted to argue with.
That distinction is why the repost ranking is worth running separately from the most liked tweets ranking. They rarely return the same first row, and when they do, you have found something unusually strong.
Why the two rankings rarely agree
There is a practical consequence for planning. A post that collects likes has told you the topic landed. A post that collects reposts has told you the topic was safe enough for other people to repeat, which is a much harder thing to earn and a much better thing to build on.
The accounts on the other side of those reposts are worth knowing by name. Export Retweeters pulls the list of accounts that shared a given post, which turns an anonymous number into a set of people you can recognize the next time they show up.
Match the repost number to what the post was for
A repost ranking is only useful once you know what each post was trying to do. Not every post was built to be shared.
A post written to start an argument is doing its job in the reply column. A post carrying a link is doing its job in the URL clicks column. Judging either one by reposts tells you almost nothing, because neither was asking to be republished.
The posts that genuinely compete on reposts are the ones that carried a claim, a resource or a piece of writing somebody else might want their followers to see. Those are the rows where a high repost count is real evidence rather than an accident of format.
So the honest version of the ranking is narrower than the raw sort. Read the top of the repost column, then throw out the rows whose actual goal lived somewhere else. What survives is a short list of posts your audience treated as worth passing on.
That filtering step is the difference between a metric and a lesson. A number tells you which post went furthest. Knowing what the post was for tells you whether the result is repeatable.
Where the accessible history stops
Circleboom reads your posts through the X Enterprise API. That API hands over your 3,200 newest tweets on a standard connected account, and nothing behind them. Anything older than that window is outside what the table can rank.
For most accounts that covers years. For an account posting several times a day it may only cover months.
The practical effect is the same either way. "Most retweeted ever" really means "most retweeted inside whatever the API is still willing to return." Before you quote the number to anyone else, be clear about which of the two you mean.
The rows where impressions come back empty
There is a second gap inside the window. Some older rows never got an impression figure, and neither did anything you posted before linking the account. Without an impression number the engagement rate has no denominator, so that cell stays empty. The repost count itself is still there, so the ranking still works; you just cannot read a rate on those particular rows.
Both limits are worth writing down somewhere. If you want a broader read of the same history, Tweet Stats covers the account-level shape of what you have published rather than the per-post ranking.
Accounts that keep getting quieter numbers over time often find the explanation has nothing to do with the writing.
Why your Twitter followers are not retweeting or liking your tweets covers that territory. Rule it out before you conclude your best work is behind you.
Is your most retweeted tweet worth posting again?
Usually yes, and more so than your most-liked one. A post that people were willing to republish under their own name has already cleared the highest bar your audience sets.
Circleboom is an official X Enterprise Developer company. The ranking, the reschedule and the auto-retweet all run through authorized access, not through anything scraped off a public page.
That matters here. You are about to republish on the strength of what the numbers say, so the numbers need to be the real ones.
What reusing the post actually looks like
From the top row you can push the post straight back into the schedule, set it on a recurring repost cycle, or pull it into the composer for a rewrite before it goes back out.
Anything queued this way must sit a quarter of an hour or more in the future, and the connection has to stay live until it publishes.
One caution on the AI rewrite: it produces a draft, not a published post. Nothing goes live until you review it and deliberately schedule or publish it.
If you want to understand the response rather than repeat it, Engagement Analytics breaks the same posts down by the kind of reaction each one produced.
The people who reposted you most often are worth tracking on purpose. That is the point of learning to find your brand advocates instead of treating every reposter as a one-off.
Either way, the decision starts with the ranking. Kick off a sort on your most-reposted tweet before the next month of content gets planned, not after.
Putting it to work
Five things to do the first time you run this, in the order that wastes the least effort:
- Sort by reposts and write down the top five rows, not just the first.
- Read the impressions cell beside each of them before you decide which one deserves another run.
- Compare that list against your likes ranking and note which posts appear on both.
- Queue the overlap for a reshare or a recurring repost cycle.
- Note the oldest post the table still returns, so you know where your window ends.
Run it once a quarter rather than once. The window keeps moving forward as you publish, so the same sort in three months is reading a slightly different set of posts, and the top row can change without any single post going viral.
The ranking takes one click. The reading takes ten minutes. What you get back is a short list of things your audience has already vouched for in public, which is a better starting point than anything you can brainstorm cold.
→ find your most retweeted tweet
Questions about the repost ranking
Can I find someone else's most retweeted tweet this way?
No. The analytics table ranks the posts of the X account you connected and authorized, not third-party accounts. To study another account you would use the account-level analysis and search tools instead, which read public data rather than your own authorized post metrics.
Do quote posts show up in the repost count?
The table gives you a repost column, not a separate quote column, so you cannot rank by quotes on their own. Use the sort to pick the candidate, then read its quotes on X directly.
Will filtering the table load older posts into it?
No. Filters narrow what is already in front of you; they do not fetch more tweets. The set was fixed when the table loaded, so a date filter reaching past the 3,200-post window returns nothing rather than reaching further back.
