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Star_OKX engagement report

@star_okx - 245K followers on X

Measured over 16 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Middle of its size range
Per follower
0.048%
of 245K followers
Per impression
0.182%
64K views on a typical post
Reach
26.3%
of its followers see a post
Typical post
116
interactions (median)
Saved
0.007%
4 bookmarks on a typical post
Posting rate
2.17/day
active 70% of days
Peak time
07:00 UTC
Tuesday

A typical post picks up 116 interactions against 245K followers, an engagement rate of 0.048%. Measured over 16 original posts, its engagement rate beats 48% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 64K times each, and 0.182% of those impressions turn into an interaction. That is about 26.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 07:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 88% carry an image or video and 31% link out. The account's strongest tracked post pulled 459 interactions, about 4.0x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on September 28, 2026.

Compared with accounts its own size

Star_OKX's engagement rate beats 48% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 12% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.048%, Star_OKX sits above the 25th percentile of the 157,102 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,102 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,052 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 07:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video88% of posts+111%+108% to +115%34K
Outbound link31% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 88% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 31% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 560 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Aug 19, 20264.0x their median

    All are highly respected companies. OKX will continue working hard to earn a higher position on the list. https://t.co/uWuPRywJhY

    3332890847K viewsView on X
  • Aug 22, 20263.8x their median

    卧槽,一觉醒来,OK币要破前高了! https://t.co/WfB2bszssj

    227101919358K viewsView on X
  • Aug 13, 20263.6x their median

    OKX Europe has quickly become one of the most liquid exchanges in the EU for both spot and X-Perps. Deep liquidity is the foundation of a great trading experience: better execution, tighter spreads, and more efficient markets. We’re still early. We’ll keep building the best trading experience for European users. 🇪🇺

    28924921355K viewsView on X
  • Aug 10, 20263.5x their median

    Last week, we completed a major engineering milestone. Crypto markets operate 24/7, making the maintenance and migration of core trading infrastructure exceptionally challenging. Despite this, our team successfully migrated our high-traffic core trading system from one country to another with zero customer-visible downtime. The only impact was a temporary increase in latency lasting approximately 30–40 minutes. The chart below was provided by one of our institutional clients. The team believes this may be an industry-first achievement at our scale. While I cannot yet confirm whether it is literally the first in history, it is undoubtedly an exceptional accomplishment. Migrating a mission-critical trading system across jurisdictions while preserving uninterrupted service, data integrity, and trading continuity is extraordinarily difficult. Congratulations to everyone involved. This achievement demonstrates the strength, discipline, and resilience of our system.

    29522701588K viewsView on X
  • Sep 14, 20263.2x their median

    从今以后,我不会再给任何人建议购买、卖出什么币。 无论是线上,还是线下。 我的推文也不构成投资建议,大家看的话,就图一乐就行了。 我的任何操作,任何话术,都不构成投资建议。 赚钱了,不会分我一分,亏钱了,就算嘴上不说,心里也会怪我。 希望大家也不要给我投资建议,我看到了,觉得好的,我自然会去买。

    20131635147K viewsView on X
  • Aug 21, 20263.1x their median

    During the recent market volatility, OKX X-Perps delivered EEA users a seamless trading experience with deep liquidity, strong market depth, and efficient execution—powered by liquidity as strong as our global markets. At the same time, both daily active traders and AUM in the EEA reached all-time highs. Our goal is simple: bring one of the world’s best derivatives trading experiences to Europe. 🇪🇺

    2622273760K viewsView on X
  • Sep 8, 20263.0x their median

    我发现最近一周,有几家媒体非常有偏见的在对个别交易所产出负面稿,非常有意思。 在这里可以说,如果你玩儿过同花顺或者玩儿过币coin的都知道,只要你不折腾,空仓可以跑赢96%的用户。 而币圈的财富效应更是如此,真正的零和博弈,95%的人亏就会有5%的人赚。 并且从统计学角度来说,每一个公链火热时,虽然参与的群体不同(东西方交易审美),但是最终每个链的造富效应往往惊人的相似。 这是同一个市场,同样炒作MEME,只是链不同,单独拿RH链来说95%的交易者亏。那ETH BNB链 SOL链 绝对是殊途同归的全几把散户血亏。 单独拿一个链的盈亏地图企图证明这个链赚不到钱完全是一种认知错位的黑稿营销。 就像是我比喻假如我统计出币不安的散户95%都爆仓归零,但是这并不能说明欧不易的散户数据就高于币不安一等,反而从统计学角度来说,变量可控的情况下,同样是交易所,那么两边交易的用户越多,亏损的人数比例就越趋同。 拿这种黑稿来写RH链不行,也将证明SOL不行 Eth不行 BNBCHAIN也不行。 怎么老有把交易者当傻子的媒体和买稿人? 同时我还跑了Codex,问了其他几个热门链(比方BNB链)的用户盈亏比例,我也在生成数据面板建立模型,目前来从大数比例来说,几个热门链盈亏用户比例真没啥大区别。 下次买稿主观带着踩别人黑别人的时候别把自己黑到了。

    232138812325K viewsView on X
  • Sep 2, 20262.9x their median

    Built for speed. Built for precision. Built to perform. 🏎️ Proud to see the new OKX x McLaren look hitting the track at Monza and Madrid. Different industries, same mindset: technology, execution, and constantly pushing what’s possible. See you on the grid. 🧡🏁 https://t.co/kxmu5n9Gw0

    2521670248K viewsView on X
  • Sep 15, 20262.9x their median

    听闻一件堪称行业标杆的事,着实令人震惊。 OKX安全部门在某代币交易中发现疑似老鼠仓:金额不大,一买一卖大约只赚一千U,当时也未查出关联人。几个月后,该地址资金变动,流向比“九妹”更高层级的副总级账户中——相当于集团一线大领导,底下无人敢动。 可老徐 @star_okx 铁面无私,直接开除了这位老干部。一位年薪或达数百万美元的大领导,只因让家人赚了约一千U,便丢了工作。如此严格、正规的企业文化,令人敬佩。 反观隔壁:TST兴起时,那位“慈善家”在员工群里说“我要发推特了”,底下人回“那我买一点”,他答“少买点”……两家公司的企业文化与道德标准,相差何止十万八千里。 (以上内容绝对保真,来源为在两家公司都上过班的朋友所诉)

    24314755290K viewsView on X
  • Aug 19, 20262.7x their median

    A crypto card should do more than just let you spend crypto. You should stay in control of your money. It should keep working for you before you spend it, reward you when you do, and feel as seamless as the cards you already use every day. That’s what we’re building with OKX Card for EEA users. Stay in control. Earn. Spend. Get rewarded. One seamless experience. 💳 https://t.co/JAabT6flSl

    2081781328K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 116 interactions against 245K followers, an engagement rate of 0.048%. Measured over 16 original posts, its engagement rate beats 48% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 64K times each, and 0.182% of those impressions turn into an interaction. That is about 26.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 07:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 88% carry an image or video and 31% link out. The account's strongest tracked post pulled 459 interactions, about 4.0x its own typical post.

What is Star_OKX's engagement rate on X?
Star_OKX (@star_okx) has an engagement rate of 0.048%, based on the median interactions across 16 original posts from the last 30 days against 244,722 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.048%, Star_OKX sits above the 25th percentile of the 157,102 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @star_okx have real engagement?
Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @star_okx post?
Most posts go out around 07:00 UTC, and Tuesday is its busiest day, at roughly 2.17 posts per day across the measured window.

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