康客 engagement report
@kangke888 - 177K followers on X
Measured over 60 original posts from a 30-day window, last computed on October 17, 2026.
Engagement
A typical post picks up 14 interactions against 177K followers, an engagement rate of 0.008%. Measured over 60 original posts, its engagement rate beats 21% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.6K times each, and 0.251% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 09:00 UTC, and Friday is the busiest day of the week. Of the 60 posts sampled, 32% carry an image or video and 7% are part of a thread. The account's strongest tracked post pulled 23K interactions, about 1648x its own typical post.
Measured over 60 original posts from a 30-day window, last computed on October 17, 2026.
Compared with accounts its own size
康客's engagement rate beats 21% 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 15% 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 0.008%, 康客 sits above the 10th percentile of the 205,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
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 09:00 UTC, and Friday 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 | 32% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 32% 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.
- 0% 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 230 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
- Oct 13, 20261648x their median
She can’t fight, she’s just a bully 🤦♀️ https://t.co/tYrlfh301y
- Sep 18, 202682x their median
四川广元女子李玉，在河北正定县失踪7年，给发烧的闺蜜张瑶托梦，暗示尸骸位置。 广元利州警方根据张瑶提供的梦境线索，真的找到了李玉的遗骸，拿到关键物证后，警方将凶手王崇承抓获。 这事科学解释不了吧？科学的尽头是玄学？🥶 https://t.co/7THtKR87Mv
- Sep 15, 202669x their median
近日，网友发现原武汉大学图书馆诬告案当事人杨景媛，疑似在西班牙马德里卡洛斯三世大学读研，随即有网友向该校多个部门发送邮件反映其黑历史，当地学生也表示将跟进确认。 法院二审已经生效判决，驳回杨景媛性骚扰的全部诉讼请求，认定不构成性骚扰。 做坏事出了名，你觉得网友能放过你吗？
- Sep 16, 202635x their median
原武汉大学图书馆，诬告“性骚扰”当事人杨景媛，疑似更改ID，试图在西班牙“重启人生”，被网友发布“全球追杀令”。 说明她在中国已经社会性死亡，以后就算有很大成就，也很难重新得到网友的接纳。 但互联网是有记忆的，这种刻意的“逃逸”会被解读为拒不认错，而非改过自新。 网友向新学校反映情况，本质是在进行一种“舆论层面的追责”，试图补上她从未付出的代价。 网友之所以“不放过”，核心不在于她去了哪里，而在于她从未展现出对受害者的歉意，也未曾真正承担过责任。 这种“逃逸”姿态，反而进一步激怒了公众。 法律驳回了她性骚扰诉求，但公众心里有一本不同的账。 尤其是她的硕士论文被武大官方复核出“百余处不规范”，学位却照发。 而被她指控的男生，却因网暴确诊创伤后应激障碍和学业中断。 这种“我没事，你毁了”的强烈对比，让很多人觉得不公。 败诉后，她不仅没有停止，反而继续举报为对方作证的医护人员，甚至以病人身份诬告医生违规。 这种“不死不休”的追击，显示出一种偏执的报复欲，法律上的败诉，反而强化了她“替天行道”的受害者叙事。 她将整个事件变成了一场精心编排的公开“表演”，追求的不仅是判决，更是持续的关注与喝彩。 从冷静录制长达70分钟的视频来“布局取证”，到在社交平台炫耀，都透露出一种对聚光灯和权力快感的沉迷。 有分析认为她表现出“全能自恋失控”，以维权为名发动攻击，利用舆论和法律来巩固自己的“既得利益”。 她自信到说出“给法庭找点事”来“练练手”，这种过度膨胀的自信与偏执相结合，容易让人做出非理性的冒险行为。 所以，网友追的不是她的新学校，而是一个说法和代价。 她可以重新开始，但重新开始不等于免责。只要道歉和责任缺席，舆论就很难翻篇。
- Sep 15, 202635x their median
马斯克和他妈，三天两头在X上喊大家到中国旅游。 没想到，连马斯克的爸爸也亲自下场了，这两天跑去广州和深圳打卡。 一家人分工明确，主打一个“用实际行动给中国旅游业做贡献”。 再这么下去，马斯克家都成“中国旅游形象大使”了。
- Sep 17, 202622x their median
81岁的南京博物院原院长徐湖平，因受贿罪被判3年，罚金20万元。 最有意思的是，公众真正关心的文物违规调拨、流失问题，却没有直接出现在这次判决里。 于是就有了一个灵魂拷问： 钱收了，徐湖平判了； 那文物呢？ 谁调的？谁批的？去了哪里？送给了谁？ 更耐人寻味的是，网上一直有关于徐湖平家庭背景、文物流向，以及背后是否涉及更高层级官员的种种质疑。 如果这些质疑属实，那问题恐怕就不只是“一个院长收了多少钱”这么简单了。 徐湖平判了3年，罚20万； 至于那些文物怎么出去的、送给了谁、谁批准的、有没有更大的保护伞——这才是公众真正想知道的“后半集”。 毕竟，查一个收钱的人不难，难的是把收钱、送文物和背后关系链一起查清楚，别最后变成一笔谁都不方便算的“糊涂账”。
- Sep 16, 202618x their median
脑出血 VS 脑梗的区别 打个比方：水管爆了 vs 水管堵了 把大脑想象成一片农田，血管就是灌溉的水管。 脑出血：水管老化破裂，水直接淹了农田。血液从破裂的血管涌出，形成血肿，压迫脑组织。这叫“出血性卒中”，占比约20%-30%。 脑梗：水管里生了水垢（血栓），或者别处冲来的杂物堵住了水管，下游农田干旱枯死。 这叫“缺血性卒中”，占比约70%-80%。
- Sep 17, 202618x their median
湖南返乡博士朱跃军，1992年发表在《中华医学杂志》那篇论文，他是第一作者，表示他承担了相当部分实验操作和中文稿的撰写整理。 和王振义院士不存在科学结论上的冲突，两者是“机制解释”与“临床开创”的互补关系。 哪来的“学术分歧”？为什么要让他毕不了业？ 这事只有他的导师才清楚，细思极恐。 https://t.co/YTSTexHADM
- Sep 16, 202614x their median
9月14日，日本参天制药的RYJUSEA滴眼液，在中国提交上市申请，这款药物早在2025年4月就已在日本获批上市，核心作用就是抑制眼轴增长，延缓近视加深。 RYJUSEA属于硫酸阿托品滴眼液，它并不能治愈近视、缩短已经变长的眼轴，只能减缓眼轴拉长速度，从而控制度数上涨。 临床数据显示，持续使用2年，相比安慰剂，可抑制约32%眼轴增长，近视进展减少约39%。药品采用一次性独立包装，不含防腐剂，更适合儿童长期使用。 但它是处方药，并非所有近视孩子都适合使用，有明确的禁忌人群。 ❌绝对禁用：对阿托品、莨菪类生物碱过敏的儿童；患有青光眼，或是浅前房、窄房角这类青光眼高危人群；曾经使用阿托品后出现严重心慌、高热、面部潮红等重度全身不良反应者。 ⚠️需要眼科医生仔细评估、谨慎使用：存在心脏疾病、心律失常的孩子；颅脑外伤、唐氏综合征、痉挛性瘫痪患儿；白化病、眼部有活动性角膜炎、结膜炎等炎症的孩子。 这款药物主要面向6～12岁近视儿童。用药后部分孩子会出现畏光、看近处模糊、眼干充血等副作用，用药期间必须定期复查视力、眼轴与眼压。 还要记住，眼药水只是近视防控手段之一。每天保证2小时户外活动、控制近距离用眼时长、保持良好读写姿势才是基础。必要时医生也会搭配OK镜、离焦框架镜联合干预。 RYJUSEA是近视防控的有力工具，但不是“近视神药”。 能不能用药，一定要先完善全套眼科检查，由医生判断，家长切勿自行购买使用。
- Sep 15, 202614x their median
广西「儿子去世、孙子非亲生」案引发关注。 儿子在送外卖途中遭遇车祸去世，本来对两位老人就是致命打击，谁知经过亲子鉴定又发现孙子非亲生，更是雪上加霜。 丈夫尸骨未寒，出轨的妻子却为了24万元保险金和抚恤金，动手打家公家婆。 如果孙子是亲生的，这笔钱归她们母子毫无问题。但女方出轨在先、孩子又非亲生，广西高院就应该依据鉴定结果，判女方净身出户，还两位老人一个公道。 然而，当地司法鉴定中心却因此被处罚，理由是“为了保护未成年人”。就算这一处罚合法，但也不合理，难道法律是用来保护坏人的吗？ 既然现行法律存在这样的漏洞，最高人民法院就应该根据这类实际案例释法，彰显法律的公平正义。
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 14 interactions against 177K followers, an engagement rate of 0.008%. Measured over 60 original posts, its engagement rate beats 21% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.6K times each, and 0.251% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 09:00 UTC, and Friday is the busiest day of the week. Of the 60 posts sampled, 32% carry an image or video and 7% are part of a thread. The account's strongest tracked post pulled 23K interactions, about 1648x its own typical post.
- What is 康客's engagement rate on X?
- 康客 (@kangke888) has an engagement rate of 0.008%, based on the median interactions across 60 original posts from the last 30 days against 177,450 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.008%, 康客 sits above the 10th 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 @kangke888 have real engagement?
- Its engagement rate beats 21% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter 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 @kangke888 post?
- Most posts go out around 09:00 UTC, and Friday is its busiest day, at roughly 2.43 posts per day across the measured window.