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Colin Wu engagement report

@colinwu - 82K followers on X

Measured over 31 original posts from a 30-day window, last computed on September 5, 2026.

Engagement

Middle of its size range
Per follower
0.177%
of 82K followers
Per impression
0.518%
28K views on a typical post
Reach
34.1%
of its followers see a post
Typical post
144
interactions (median)
Saved
0.101%
28 bookmarks on a typical post
Posting rate
1.97/day
active 40% of days
Peak time
04:00 UTC
Thursday

A typical post picks up 144 interactions against 82K followers, an engagement rate of 0.177%. Measured over 31 original posts, its engagement rate beats 61% of 14,930 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 28K times each, and 0.518% of those impressions turn into an interaction. That is about 33.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 31 posts sampled, 13% carry an image or video, 45% are part of a thread and 16% link out. The account's strongest tracked post pulled 1.5K interactions, about 11x its own typical post. Recurring topics include #ai, #bitcoin, #hpc.

Measured over 31 original posts from a 30-day window, last computed on September 5, 2026. Recurring tags: #ai, #bitcoin, #hpc.

Compared with accounts its own size

Colin Wu's engagement rate beats 61% of the tracked X accounts closest to it in follower count (14,930 accounts, accounts of similar size (decile 6 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 25% 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 0.177%, Colin Wu sits above the 50th percentile of the 151,319 accounts in this comparison. That places it in the above the median band, which runs 0.126% to 0.6%.

p100.003%
p250.021%
p50 (median)0.126%
p750.6%
p902.30%
p9984.3%
Engagement rate as a share of followers, across the 151,319 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 27,202 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 percentile0.021%
50th percentile0.126%
75th percentile0.6%
90th percentile2.30%
99th percentile84.3%

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 04:00 UTC, and Thursday 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video13% of posts+111%+108% to +115%34K
Outbound link16% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 13% 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.
  • 16% 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 205 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

  • Aug 29, 202611x their median

    看了下景甜履历,确实是倒霉 出道是大哥撒钱,全网找顶流给她配戏,但全部口碑扑街沦为笑柄 和大哥分手,找了嗜赌的张继科,私密视频被张拿去给债主抵押 只能去拍网剧,结果 21 年《司藤》意外爆火,事业刚有起色,22 年接减肥药假广告,被禁止广告三年 禁令刚结束,孙哥的官司和小作文来了。。。

    1.2K422853417K viewsView on X
  • Sep 5, 20265.4x their median

    神奇景象,拼多多直接把香港中环和内地农村物价拉平 香港线下零售业和本地网购完蛋,大半是因为拼多多,几乎每个楼宇大堂都堆满绿色的拼多多包裹 所有来香港住下的人,第一件事就是被推荐“拼多多” 几毛钱东西都能免运费送到楼下,速度慢一些,5-8 天,路径是先运到珠海,再集中运输到香港

    587421444119K viewsView on X
  • Sep 2, 20264.3x their median

    中年男性猝死真的太多了。一定要注意心脑血管健康。 打替尔泊肽 2 月,体重从 82 减到 76,腰围 93 到 83,各项心脑血管指标全面大幅好转。 许大消息当天,家里一个亲戚也在开车途中突然去世。至于以前同事、远房亲戚、媒体圈,也有多个类似案例。 普遍的共性都是 30 到 50 的 中年男人。男性心脑血管寿命比女性少 20 年。再加上抽烟喝酒应酬工作压力大。大家一定要把自己的心脑血管健康放到第一位。

    446321269205K viewsView on X
  • Aug 28, 20263.9x their median

    突然发现,和币圈纯吃瓜不同,内地舆论场上几乎所有女生和 KOL 都在一边倒骂孙哥与同情景甜。今天胡锡进的发文也是这个调调,甚至有点官方指导口吻。 景甜的形象变成了备受同情的“被霸凌的弱者”。会不会经此一役,景甜突然从过气翻红、甚至搞起直播?如果那 3000 万还最终到手,那最后到底是谁赢了?

    3508203690K viewsView on X
  • Aug 28, 20263.6x their median

    突然想到孙哥小作文里的一个细节 不断地提及景甜父母的全名,以及强调那 3000 万是转给她父母的彩礼 恋爱期间的转账,如果是转给了对方父母,就很难说是对对方的无偿赠与,很容易会被理解为可追回彩礼 不知道在这笔转账之前,孙哥是不是已经问了公司的法务,或者问了 claude。 以孙哥的精明,我感觉他应该是想到了这一点的,已经留下了后手,最差也可以做他最喜欢的事,大搞一波流量

    40916874135K viewsView on X
  • Sep 1, 20263.2x their median

    晚点 LatePost 新的这篇文章挺有意思的。 AI 应用创业死透了,因为它们同时面对三个无法解决的问题: 产品多久会被大模型吞掉,大模型每一次的升级都吞噬一切。 增长能不能带来利润,昂贵的 Token 费用导致入不敷出。 用户入口在别人手里,平台级互联网企业轻而易举可以后来居上抢客户 全文 https://t.co/UsOz5Jimqe

    3192511110133K viewsView on X
  • Sep 1, 20263.1x their median

    看以前的新闻,发现景甜其实在北京、上海都有数千万甚至上亿价值的豪宅, 演艺事业是亏的,广告代言也被禁止了好多年,哪来那么多房产? 瞎猜,会不会 3000 万加一套房是她(以及类似女明星)标准化陪玩一段时间的报价? 当然这种东西不可能在合同里写得特别清晰,所以搞到后面就变成合同纠纷。

    2626177188K viewsView on X
  • Aug 31, 20262.7x their median

    段永平最不喜欢的苦生意: 进入门槛低 + 产品同质化高:别人看到你赚钱,很快就能复制 客户转换成本低、忠诚度弱:你今天涨一点价,客户明天就换一家 上下游都没有议价权:对客户不能提价,对供应商也压不了价 规模越大未必越轻松,需要不断重新投入才能维持收入 周期下行时利润率塌得特别快,一旦需求下降,竞争者只能互相降价抢饭吃

    2683979338K viewsView on X
  • Sep 4, 20262.4x their median

    香港 711 便利店一瓶 500ml 的水 12 元 内地游客的第一反应是疯了。也是很多游客去香港的第一印象。 但我昨天楼下商场惠康买了一瓶 1.5 L 的水,只要 6 元 隔壁公屋开了一个廉价超市,一瓶 2 L 的水,只要 3 元。现在消费降级,香港也有大量的廉价超市。 感觉后面两种甚至比内地还便宜

    2245109469K viewsView on X
  • Aug 24, 20262.1x their median

    未来二十年,中国最上游、最不可逆的趋势只有两条: 老龄化、少子化 这将导致: 劳动年龄人口减少 人工少/贵、企业 AI 化加速 人口流入大型城市圈,大城市圈以外集体萧条 医疗、养老、保险等趋势性上涨、地产、教育等趋势性下滑 性价比消费增长/消费降级 宏观低增长、低通胀、阶段性通缩 与日本高度相似

    2103258941K 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.

Recurring topics

#ai#bitcoin#hpc

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 144 interactions against 82K followers, an engagement rate of 0.177%. Measured over 31 original posts, its engagement rate beats 61% of 14,930 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 28K times each, and 0.518% of those impressions turn into an interaction. That is about 33.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 31 posts sampled, 13% carry an image or video, 45% are part of a thread and 16% link out. The account's strongest tracked post pulled 1.5K interactions, about 11x its own typical post. Recurring topics include #ai, #bitcoin, #hpc.

What is Colin Wu's engagement rate on X?
Colin Wu (@colinwu) has an engagement rate of 0.177%, based on the median interactions across 31 original posts from the last 30 days against 82,059 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.177%, Colin Wu sits above the 50th percentile of the 151,319 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 @colinwu have real engagement?
Its engagement rate beats 61% of the tracked X accounts closest to it in follower count (14,930 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 @colinwu post?
Most posts go out around 04:00 UTC, and Thursday is its busiest day, at roughly 1.97 posts per day across the measured window.

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