Lee1ng engagement report
@lilaoshizuikeai - 257K followers on X
Measured over 11 original posts from a 30-day window, last computed on September 25, 2026.
Engagement
A typical post picks up 3.2K interactions against 257K followers, an engagement rate of 1.24%. Measured over 11 original posts, its engagement rate beats 94% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 338K times each, and 0.944% of those impressions turn into an interaction. That is about 131.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 05:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 45% carry an image or video and 9% link out. The account's strongest tracked post pulled 18K interactions, about 5.6x its own typical post.
Measured over 11 original posts from a 30-day window, last computed on September 25, 2026.
Compared with accounts its own size
Lee1ng's engagement rate beats 94% of the tracked X accounts closest to it in follower count (20,444 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 41% 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 1.24%, Lee1ng sits above the 75th percentile of the 205,374 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 05:00 UTC, and Sunday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 45% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 9% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 45% 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.
- 9% 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 191 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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
- May 14, 20235.6x their median
https://t.co/EgwvGcY4nZ
- Sep 11, 20263.2x their median
Anthropic报告里这一段真的笑死我了 因为月之暗面把部分Kimi 用户请求直接转给Claude 导致解放军把几百个军工设施的监控视频扔给Kimi抓间谍 然后Kimi直接把这些监控视频发给Claude了 https://t.co/HnrmeWNkVR
- Aug 30, 20262.1x their median
男人要成功,一定要解决性欲问题。一是像我一样阳痿,二是吃糖化学阉割。当然还有一条路,就是嫖到失联,嫖到永远是贤者时间。性欲是男人的诅咒,而国女之所以能这么吸血,就是靠利用男人的生理不足之处进行剥削。用安全的方式解决性欲,才能不被国女吃干抹净,才能有自己的人生。
- Aug 30, 2026
来到推特,我们讨论一下怎么爆破爱女体面绿帽龟男李颖。推特有且只能有一个李老师。这个李老师必须是清华大学毕业,而不是阜阳师范学院。
- Sep 11, 2026
Claude这个报告发出来感觉有些人要倒霉了啊 有的中国国安/警察直接使用Claude,分析李老师的推特和推文 有的国安利用kimi/DeepSeek分析异议人士,搞武器研发 结果因为蒸馏上传给的都是Claude 习近平要是知道,不得气死💢 https://t.co/wqM6tRKbhi
- Aug 13, 2026
对朱镕基的态度可以区分一个人是反共还是反华。如果连朱镕基都否定,那就是妥妥地反华。
- Jul 31, 2026
新的《出境入境管理的规定》,就是“边控扩大化、合法化、常态化”。 可以直接把你在海关扣下,不告知理由。可以不准你出国了,理由是你危害国家安全。可以不准你办理出国手续而且条款里有“骗取护照”这种荒诞理由,办理护照是基本权利,怎么成了骗取? 这两个月,先是限制资金外流,然后限制技术外流,追海外收入税,现在肉身也限制了。出不去的基本都出不去了,无论是钱还是人,闷在国内,耳畔响起一声响彻天空的喝斥“缴枪不杀”。
- Aug 1, 2026
一个出入境管理新规的优秀实践: 2026年3月25日,一名上海网友因在办理护照更新时填写了有意前往日本 随后接到上海警方电话对其进行劝返,被反复询问赴日计划及出行时间。 https://t.co/lwOnx0rkjt
- Sep 1, 2026
柴静这个朱镕基的视频是值得观看的。给我印象深的: 1.克拉玛依大火的纪录片焦点访谈本来要播,但被毙了。接这个选题的记者哭得稀里哗啦。 2.焦点访谈的监督性报道,从朱镕基上台时的47%降到下台时的17%。朱镕基看了节目后“生气”原本对地方政府很有震慑效果,但越往后他“生气”越没用。 3.柴静说,监督的权力从哪里来,决定了能监督到什么程度。到后来焦点访谈能监督的就是公司、镇长、乡长。 4.柴静说,以前做强拆和土地征收问题的时候总觉得地方政府道德沦丧。但后来有经济学家告诉她,不要用道德来评判经济问题。再后来她意识到地方政府房产经济的问题最终指向朱镕基(没有直说,很隐晦的表达了)。 5.朱镕基的语言,从开始的意气风发到后来的萧索。 6.柴静说,后来监督性报道越来越没有可做的选题了,新闻也越做越没意思,甚至央视的设备都不更新了。比如偷拍设备都是十几年前的老旧版,都被淘汰了。有一次在某公安局偷拍案卷的时候,民警都看不下去了,说我们的设备更好,要不你们还是用我们的吧。
- Sep 13, 2026
几天没怎么上网,看了一眼说华为广告害死人事件当事人道歉了,心想这次华为也算有点良心了 结果仔细一看原来是死者家属道歉了 https://t.co/M8j6jmcmGQ
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 3.2K interactions against 257K followers, an engagement rate of 1.24%. Measured over 11 original posts, its engagement rate beats 94% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 338K times each, and 0.944% of those impressions turn into an interaction. That is about 131.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 05:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 45% carry an image or video and 9% link out. The account's strongest tracked post pulled 18K interactions, about 5.6x its own typical post.
- What is Lee1ng's engagement rate on X?
- Lee1ng (@lilaoshizuikeai) has an engagement rate of 1.24%, based on the median interactions across 11 original posts from the last 30 days against 257,027 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 1.24%, Lee1ng sits above the 75th percentile of the 205,374 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 @lilaoshizuikeai have real engagement?
- Its engagement rate beats 94% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 10% for its size 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 @lilaoshizuikeai post?
- Most posts go out around 05:00 UTC, and Sunday is its busiest day, at roughly 1.5 posts per day across the measured window.