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Ding engagement report

@dingyi - 160K followers on X

Measured over 43 original posts from a 30-day window, last computed on October 29, 2026.

Engagement

Per follower
0.066%
of 160K followers
Per impression
0.454%
23K views on a typical post
Reach
14.6%
of its followers see a post
Typical post
106
interactions (median)
Saved
0.111%
26 bookmarks on a typical post
Posting rate
2.37/day
active 33% of days
Peak time
14:00 UTC
Tuesday

A typical post picks up 106 interactions against 160K followers, an engagement rate of 0.066%. Posts are seen about 23K times each, and 0.454% of those impressions turn into an interaction. That is about 14.6% 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 33% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 43 posts sampled, 63% carry an image or video and 44% link out. The account's strongest tracked post pulled 11K interactions, about 105x its own typical post.

Measured over 43 original posts from a 30-day window, last computed on October 29, 2026.

Where this sits in the catalog

At 0.066%, Ding sits above the 25th percentile of the 212,656 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,656 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,418 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.9%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video63% of posts+111%+108% to +115%34K
Outbound link44% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 63% 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.
  • 44% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 126 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

  • Sep 19, 2026105x their median

    when a designer gets access to Jev https://t.co/FlJMeMNTJd

    10K5202161381.1M viewsView on X
  • Oct 23, 2026103x their median

    卧槽本周最牛逼的项目无疑了。⚠️NSFW⚠️ https://t.co/sxUqIKRRZS

    9.8K631401813.3M viewsView on X
  • Sep 22, 202664x their median

    Thrilled to announce @alibaba_cloud as a Founding Corporate Patron for the Omacom Foundation! $3 million in funding, collaboration on Omarchy China, and bringing Omarchy to the newly announced Qwen Book. Agentic computers need a native agentic OS! https://t.co/XADElWGz80 https://t.co/jsSVtrEPY1

    6.0K276289168370K viewsView on X
  • Sep 22, 202641x their median

    We just shipped Quiver 2.0 in @paper This is the best SVG generation possible, it's an incredible leap forward • Much faster AND better quality • Cleaner geometry • New Telos model for detailed work Next level vector generation -- available today in Paper https://t.co/sP43QetAKt

    3.9K27312648381K viewsView on X
  • Oct 23, 202637x their median

    Incredible tour of the Xiaomi factory in Beijing. 91% of the construction of their new cars is automated. Unbelievable precision and quality. From first car in 2024 to doing 1,000 cars/day now. Thank you @shujishcn! https://t.co/q5TaMHwqkR

    3.6K7813824264K viewsView on X
  • Oct 27, 202636x their median

    Pond, our linux operating system, is now available for anyone to try! Our updated website includes the installers and a detailed look at the operating system https://t.co/PXszgKgdzK https://t.co/dBRTP5KIDb

    3.4K209113104206K viewsView on X
  • Sep 18, 202631x their median

    Introducing React Bits: Micro A brand new category for micro-interactions, launching with 30 free, customizable components. Smooth motion, subtle details, and playful interactions designed to make your UI feel alive. Live now. Try it out: https://t.co/9I9GxL3D9N https://t.co/Mp5PvDBHrh

    3.0K1966822394K viewsView on X
  • Oct 23, 202626x their median

    感谢大家的支持和热情,一下子就又到了例行的抽奖环节了 (我的习惯是每次破整数来一次) 送一个月我自部署的 DeepSeek。一键三连,下周三开奖。😁 PS:其实没啥额度限制,但为了防滥用,以及不影响我正常体验,我会设置并发 1,先按谷价给它先设置个 $200 的额度,用完我再加。

    1.2K67377670131K viewsView on X
  • Sep 21, 202616x their median

    Introducing the best value coding subscription ever For $8 per month, every single day you get 15 hours (!) of DeepSeek V4.1 Flash, with unlimited messages. You get more usage because we include ads. Get it now on Freebuff: https://t.co/vjLnvVqTVD https://t.co/vOjhgLB3Xz

    1.4K6724314222K viewsView on X
  • Oct 27, 202615x their median

    Today we're launching the new Wonder! The fastest way to go from design to code and back. Connect your code. Run your app locally. Turn screens into editable layers. Ship directly from the canvas. You can finally use your own Claude and Codex subscription. Try it out today. https://t.co/LeQ7xBv9o1

    1.3K10116675176K 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 106 interactions against 160K followers, an engagement rate of 0.066%. Posts are seen about 23K times each, and 0.454% of those impressions turn into an interaction. That is about 14.6% 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 33% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 43 posts sampled, 63% carry an image or video and 44% link out. The account's strongest tracked post pulled 11K interactions, about 105x its own typical post.

What is Ding's engagement rate on X?
Ding (@dingyi) has an engagement rate of 0.066%, based on the median interactions across 43 original posts from the last 30 days against 160,254 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.066%, Ding sits above the 25th percentile of the 212,656 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 @dingyi have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @dingyi post?
Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 2.37 posts per day across the measured window.

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