To find your most retweeted tweets, sort your entire posting history by the repost column and read the top rows. X will not do this for you across your full archive, so you need a tool that ranks every tweet by reposts at once. That single sort turns years of scattered posts into a clear list of what your audience found worth sharing.
Retweets are the sharpest signal a tweet can send. A like is private approval; a repost is a reader putting your words in front of their own audience. When you find most retweeted tweets on Twitter and study the pattern, you learn which hooks, formats, and topics your readers actively reshare, not just tolerate.
Circleboom sorts your complete tweet history by reposts and ranks your top-shared posts in one view through sanctioned, official API access. It turns a manual scroll through hundreds of tweets into a single click.
→ find your most retweeted tweets
Keep reading for the exact sort, the metric traps to avoid, and how to reuse the winners.
Why X Alone Cannot Rank Your Retweets
X shows you performance one tweet at a time. Click any post and you see its reposts, likes, and impressions, plus a rolling 28-day summary in the post activity dashboard. What X never gives you is a ranked list of your all-time top-shared posts.
Without that ranking, finding your best content means opening each tweet, noting its reposts, and comparing by memory. Across a few hundred posts that is tedious; across thousands it is impossible. Most creators give up and guess.
That guess is expensive. If you cannot see which posts earned the most shares, you rebuild your content strategy on the two or three viral tweets you happen to remember, not the real top ten. The pattern hiding in your archive stays invisible, and you keep making posts your audience likes but rarely reposts. This is exactly why a tool that can find your most popular tweet by any metric changes how you plan.
Circleboom closes the gap. It pulls your full accessible tweet history and lets you rank every post by reposts, so the answer to "which of my tweets got shared most" arrives as a sorted table instead of a research project. You can pull up your most retweeted tweets in one pass and start reading the pattern immediately.
How to Find Most Retweeted Tweets on Twitter with Circleboom
The workflow ranks your posts in two phases: connect your account, then sort and act on the results. The whole thing takes a few minutes, and Circleboom paces every request through official API access so your account stays safe.
Reshare demo: how the single most-retweeted post gets pushed back into circulation with auto-repost and an AI rewrite.
https://www.youtube.com/watch?v=Rw3sBTK3OKM
Connect your X account to Circleboom
- Log in to Circleboom Twitter and connect your X account with official OAuth.
- Open the X Post Planner side and select Post Analytics.
Rank and act on your top posts
- Open Post Engagement Analytics to load your tweets as a sortable table, each row a post and each column a metric.
- Sort by the Reposts column, highest to lowest. The top rows are your most retweeted tweets across the accessible history window.
- Act on the winners directly. Reschedule a top post, queue it for auto-retweet, or rewrite it with AI to spin a fresh variation, all without leaving the view.
That order matters. The login earns official API access first, the sort ranks the whole archive at once, and the action step turns the finding into distribution instead of a screenshot you forget. Skip the sort and you are back to guessing.
Quick recap: connect, open Post Engagement Analytics, sort by reposts, reuse the top rows.
Read the Metric, Not Just the Number
Sorting by reposts finds your most shared posts, but one insight separates a useful audit from a misleading one: compare reposts against impressions before you crown a winner. A tweet with 40 reposts on 2,000 impressions taught your audience something worth passing on; a tweet with 40 reposts on 900,000 impressions rode a lucky wave. Both rank the same by raw reposts. Only one is repeatable.
Read the two numbers together and you find the posts that punch above their reach. Those are the templates worth copying, because their share rate came from the writing, not the algorithm. Circleboom's Twitter content performance analysis lays impressions and engagement side by side so the comparison is one glance, not a spreadsheet.
The same discipline applies when you improve your Twitter engagement rates over time. Ranking by reposts tells you what spread; reading the ratio tells you why it spread. Once you know why, you can brief the next draft against a specific mechanism, a hook that provoked a reaction, a format that was easy to quote, or a topic your audience felt safe endorsing, instead of starting from a blank box.
Circleboom is an official X Enterprise Developer company, so every metric comes from sanctioned data access, not scraping. Your ranking is accurate and your account is never at risk while you run it.
What You Get After the Audit
Once you find most retweeted tweets on Twitter and study them, three things change. You stop treating your feed as a stream of one-offs and start seeing it as a library of proven formats. You build a reuse queue from the posts that already earned shares. And you decide what to tweet based on past post analytics instead of briefing next month against instinct.
Pair the ranking with your broader Twitter account analysis to see how those top-share posts moved followers and profile visits over the same period.
The reuse angle is the fastest win. Your single most-retweeted post is a known winner sitting idle. Say the top row is a six-month-old thread that earned 220 reposts: almost none of the followers you have gained since then ever saw it, so a scheduled rerun puts a proven post in front of a fresh audience at zero writing cost. Pushing it back into circulation with a scheduled repost or an AI-rewritten variation gets more mileage from work you already did. For the deeper reasoning behind that move, how to see your most retweeted tweet walks through why the top post deserves a second life.
Unlike scrolling through hundreds of posts and eyeballing which felt popular, Circleboom hands you a ranked, dated, clickable list in seconds and lets you act on it in the same window.
The Bottom Line
Finding your most retweeted tweets takes one move X does not offer: ranking your entire history by reposts in a single view. Circleboom does that, then reads the repost-to-impression ratio for you and lets you reschedule, auto-retweet, or rewrite the winners on the spot. The whole audit runs on official API access, so it is fast and safe.
Study the top of that list every month and your content plan stops being a guess. You already know what your audience shares. Now you can make more of it.
→ Start here and rank your most retweeted tweets
Questions Readers Ask About Retweet Analytics
How far back can I see my most retweeted tweets?
The official X API returns up to 3,200 of your most recent tweets for a standard connected account, so the ranking covers that window. Posts older than the most recent 3,200 fall outside the API's return range and will not appear in the table.
Is sorting by reposts better than sorting by likes?
They answer different questions. Reposts show what your audience shared with their own followers, which is the strongest distribution signal; likes show private approval. Sort by reposts to find your most reposted posts, then sort by likes to find your most appreciated ones and compare the two lists.
Can I reuse a top tweet without rewriting it from scratch?
Yes. From the analytics view you can reschedule a top post, add it to an auto-retweet cycle, or generate an AI rewrite as a fresh draft. Any AI rewrite stays a draft until you deliberately publish or schedule it, so nothing goes live by accident.
Is it safe to connect my account to a third-party tool for this?
Yes, when the tool uses sanctioned access. Circleboom works through official, authorized X APIs, so there is no scraping and no policy risk to your account.
How often should I re-run this ranking?
Once a month suits most accounts. Reposts keep accruing for several days after a post goes out, so a new tweet needs roughly a week before its share count settles and earns an honest place in the ranking. A monthly pass reads that settled data, surfaces any new entrants to your top ten, and keeps your content brief anchored to what your audience shared recently rather than what happened to spread a year ago.
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