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Jason Ng 阿禅 engagement report

@jason5ng32 - 101K followers on X

Measured over 4 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Per follower
0.016%
of 101K followers
Per impression
0.241%
6.6K views on a typical post
Reach
6.58%
of its followers see a post
Typical post
16
interactions (median)
Saved
0.143%
10 bookmarks on a typical post
Posting rate
0.17/day
active 13% of days
Peak time
01:00 UTC
Thursday

Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 16 interactions against 101K followers, an engagement rate of 0.016%. Posts are seen about 6.6K times each, and 0.241% of those impressions turn into an interaction. That is about 6.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 4 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 881 interactions, about 55x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 4 original posts from a 30-day window, last computed on October 16, 2026.

Where this sits in the catalog

At 0.016%, Jason Ng 阿禅 sits above the 10th percentile of the 205,152 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 01:00 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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 video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 50% 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 121 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Jul 13, 202655x their median

    昨天「北京新闻」公众号报道,密云一个副局长自费 10 亿 Token 写了一个防汛 app,并上了热搜。今天,这个副局长的博客被曝光,博客里有 3 个有意思的信号:

    403164557806K viewsView on X
  • Jun 13, 202641x their median

    当在手机上双击将图片放大已经是系统级的习惯时,将它用作点赞真是让人发指的体验。

    57320511071K viewsView on X
  • Aug 19, 202627x their median

    你以为你挂上某国的 IP,你就会被看待成某国人么?可能你的各种特征正在出卖你。 https://t.co/Swf9n4D8SS 上线「深度画像检测」工具,把网站看到的你,和你想扮成的国家本地人做对照,看看你露出了多少马脚,以及如何修复这些马脚。 https://t.co/UJKj5ZQvax

    2874789290K viewsView on X
  • Aug 23, 202621x their median

    老婆的《内驱式学习》上架微信读书了。喜欢读电子书的推友们可以考虑一下。 (纸书 600 多页,大开本,接近 1 斤重,确实不方便🤣) 豆瓣 9.2 分,微信 9.18 分,目前飙升榜第 4。 不是什么立刻有效药到病除的神奇方法,而是基本的常识的原理层面系统方法的探讨“内驱力”、培养“小小终身学习者”、共建“学习型家庭”的书。很小众的主题和理念,但是希望对少数人有帮助。 微信读书 link:👇 https://t.co/Ou5xyFVOKs

    2412956546K viewsView on X
  • Jul 31, 202615x their median

    好文章就应该读 5678 遍。每一次重读,都会带来新的发现,更简洁更深入的理解。 anthropic 的这篇 context engineering blog,发布都快一年了,仍然值得重读~ https://t.co/o6Ib96FRvR 登录后,还可以看到公开的划线和笔记。(我阅读时习惯自己碎碎念,所以很喜欢阅读笔记功能🤣) https://t.co/iy135TMKma

    1432279119K viewsView on X
  • Jul 13, 202610x their median

    作为一个广东人,用 GPT 5.6 SOL High 的时候,总是感觉怪怪的。

    103457355K viewsView on X
  • Oct 1, 20269.3x their median

    做一个开源项目,本来就没想到有人无偿赞助。结果,真的有了每个月 5 个人给我无偿赞助。更有人给我发邮件,说要 double 每个月的赞助费……啊,太他妈让我感动了。 https://t.co/zZhr2QIgX2

    13728218K viewsView on X
  • Jul 10, 20266.5x their median

    Fable 5 在 7 月 12 日之后,肯定会继续留在订阅中。现在 GPT 5.6 个 GPT Work 给的压力这么大,A\ 不可能砸自己饭碗。

    78223129K viewsView on X
  • Aug 14, 20266.1x their median

    https://t.co/Swf9n4D8SS 24 小时访客地图,快填满全球了。放在几年前,我打死也想不到自己会无心插柳出一个「全球化」的产品。虽然,它只赚到了吆喝。 https://t.co/Kaf1TlfRLn

    51441129K viewsView on X
  • Aug 9, 20265.4x their median

    脑筋清奇的我,给 IP 工具箱添加了小小的社交功能,全球用户可以分享自己的状态。 https://t.co/ZmI7hIRUUn https://t.co/uXm2GSdGNn

    27157153K 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 16 interactions against 101K followers, an engagement rate of 0.016%. Posts are seen about 6.6K times each, and 0.241% of those impressions turn into an interaction. That is about 6.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 4 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 881 interactions, about 55x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Jason Ng 阿禅's engagement rate on X?
Jason Ng 阿禅 (@jason5ng32) has an engagement rate of 0.016%, based on the median interactions across 4 original posts from the last 30 days against 100,906 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.016%, Jason Ng 阿禅 sits above the 10th percentile of the 205,152 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 @jason5ng32 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @jason5ng32 post?
Most posts go out around 01:00 UTC, and Thursday is its busiest day, at roughly 0.17 posts per day across the measured window.

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