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Look at my shining eyes engagement report

@GothicOrnate - 106K followers on X

Measured over 99 original posts from a 30-day window, last computed on September 9, 2026.

Engagement

Bottom quarter for its size
Per follower
0.011%
of 106K followers
Per impression
0.396%
2.8K views on a typical post
Reach
2.68%
of its followers see a post
Typical post
11
interactions (median)
Saved
0.108%
3 bookmarks on a typical post
Posting rate
3.3/day
active 17% of days
Peak time
17:00 UTC
Friday

A typical post picks up 11 interactions against 106K followers, an engagement rate of 0.011%. Measured over 99 original posts, its engagement rate beats 18% of 6,874 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 2.8K times each, and 0.396% of those impressions turn into an interaction. That is about 2.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 99 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 4.6K interactions, about 414x its own typical post.

Measured over 99 original posts from a 30-day window, last computed on September 9, 2026.

Compared with accounts its own size

Look at my shining eyes's engagement rate beats 18% of the tracked X accounts closest to it in follower count (6,874 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 21% 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 0.011%, Look at my shining eyes sits above the 10th percentile of the 66,536 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.5%
p902.09%
p99119.7%
Engagement rate as a share of followers, across the 66,536 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,995 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.5%
90th percentile2.09%
99th percentile119.7%

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 17:00 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.

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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 100% 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 27 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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 9, 2026414x their median

    第二集 https://t.co/l66XnLoy4I

    4.2K335595269K viewsView on X
  • Jun 21, 2026143x their median

    从5月25号开始制作第一个视频,到今天算是全部做完了,没有先写剧本、还有些技术当时还不太熟悉,当时自己也不知道能制作到什么程度,目前整体出来了,给自己打65分吧!大家欣赏一下,在视频拼接、场景一致性、道具一致性还有很多搞不明白的地方,懂得多给意见。感谢!!! https://t.co/e80ZmjvOuR

    1.4K120894460K viewsView on X
  • Sep 8, 202626x their median

    https://t.co/LxCo5r5fRO

    259204048K viewsView on X
  • Sep 9, 202612x their median

    当黑超 女祖国人 遇上超女! https://t.co/1kVePgt507

    11941009.8K viewsView on X
  • Sep 9, 20268.3x their median

    狮驼岭 https://t.co/Pg5F44HuRt

    7371106.6K viewsView on X
  • Sep 8, 20267.6x their median

    https://t.co/lhScJ1IVCZ

    7010318.0K viewsView on X
  • Aug 28, 20266.6x their median

    https://t.co/GTbWKrJ1Vz

    674203.9K viewsView on X
  • Sep 8, 20266.4x their median

    https://t.co/lOuYi3qdg4

    6082011K viewsView on X
  • Sep 8, 20265.5x their median

    引用一个网友的评论 :“AI 现在是什么活都接"😂 https://t.co/b81znGT2ig

    3322609.7K viewsView on X
  • Sep 8, 20265.5x their median

    https://t.co/9HahQi9qNX

    5623011K 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 11 interactions against 106K followers, an engagement rate of 0.011%. Measured over 99 original posts, its engagement rate beats 18% of 6,874 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 2.8K times each, and 0.396% of those impressions turn into an interaction. That is about 2.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 99 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 4.6K interactions, about 414x its own typical post.

What is Look at my shining eyes's engagement rate on X?
Look at my shining eyes (@GothicOrnate) has an engagement rate of 0.011%, based on the median interactions across 99 original posts from the last 30 days against 105,608 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, Look at my shining eyes sits above the 10th percentile of the 66,536 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 @GothicOrnate have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (6,874 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 @GothicOrnate post?
Most posts go out around 17:00 UTC, and Friday is its busiest day, at roughly 3.3 posts per day across the measured window.

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