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Punk(2898 🙌💎) engagement report

@punk2898 - 89K followers on X

Measured over 25 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Middle of its size range
Per follower
0.106%
of 89K followers
Per impression
0.38%
25K views on a typical post
Reach
28.0%
of its followers see a post
Typical post
94
interactions (median)
Saved
0.069%
17 bookmarks on a typical post
Posting rate
2.6/day
active 67% of days
Peak time
01:00 UTC
Friday

A typical post picks up 94 interactions against 89K followers, an engagement rate of 0.106%. Measured over 25 original posts, its engagement rate beats 52% of 21,185 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 25K times each, and 0.38% of those impressions turn into an interaction. That is about 27.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 25 posts sampled, 68% carry an image or video and 36% link out. The account's strongest tracked post pulled 3.3K interactions, about 36x its own typical post.

Measured over 25 original posts from a 30-day window, last computed on September 26, 2026.

Compared with accounts its own size

Punk(2898 🙌💎)'s engagement rate beats 52% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 19% 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 0.106%, Punk(2898 🙌💎) 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 01:00 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: 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: 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 video68% of posts+111%+108% to +115%34K
Outbound link36% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 68% 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.
  • 36% 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 239 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 5, 202436x their median

    https://t.co/9z9qDwjzou

    2.6K58194501.7M viewsView on X
  • Sep 22, 202612x their median

    请币圈从业者们,慢下脚步,阅读此文,听听我的声音。 转发,点赞,评论此文者,将会抽取三名幸运者,我会请他们吃大餐,回答他们的任意问题,并且送出幸运骰子一副。 https://t.co/V0j0RmldUu

    73219014670142K viewsView on X
  • Jan 7, 202610x their median

    为什么说:人生发财靠康波? 你的人生财富积累,不在于你是在南开上的学,还是在清华上的学 你的人生财富积累,只在于你对人生的价格低点的把握 但是在人 60 年的一生中、参与经济活动 30 年的一生中 你的人生价格低点只会出现 3 次 你出生在康波中的位置,就决定了你在什么年龄有机会 人生财富积累的真谛是什么? 你的人生财富积累只存在于:商品、地产、黄金、股票(数字货币)

    70719849891K viewsView on X
  • Aug 30, 20269.2x their median

    卧槽!《红色警戒》真人版已经看不出 AI 痕迹了,AI 大电影感觉用不了一年就能上映,尤其《牛来》告诉大家龙标其实很简单😂 而且 80后秒懂,但是推特上 80 后多么?还有人知道《红色警戒》么?

    679828818113K viewsView on X
  • Jul 10, 20268.4x their median

    中国太牛逼了,马斯克用“筷子”夹住回收火箭,中国用“网”接住回收火箭 按照中国制造,这个可回收的成本还会再降低 10 倍 https://t.co/67sMbRfJBu

    4314130215791K viewsView on X
  • Sep 10, 20258.6x their median

    被下架视频 - 我叫许家印,我亲自揭露恒大2.4万亿窟窿怎么捅出来的 一、债务大师 - 通过软硬兼施,把土地出让金从 1 个亿变成首付“500万” - 通过“空手套白狼”从银行贷出600万 - 通过“千帆借浪”模式说服施工方垫资 二、为什么房价上涨? - 地方政府的土地财政需求 - 银行的利差驱动 三、恒大为什么垮了? - 在巅峰时期盲目多元化,投资矿泉水、汽车、旅游等业务,但除了足球外几乎都以失败告终 - 特别是恒大汽车投入千亿却只卖出千辆,成为巨大笑话 - “三条红线”政策的出台,切断了恒大“借新还旧”的输血管道,导致其资金链迅速崩溃 四、许家印为什么有点傻? 事后才开始通过“技术性离婚”和“破产保护”等手段转移优质资产至海外,但最终被国家铁拳制止

    531157217122K viewsView on X
  • Sep 18, 20267.5x their median

    https://t.co/w5W15h8z2A

    5501042721131K viewsView on X
  • Aug 15, 20265.5x their median

    编译了半个月指纹浏览器,差不多完工了,各种检测上来看基本上跟市面上付费的表现一致。 我再整理一下,下周就开源给大家! https://t.co/kSdP1QIfOd

    4202268355K viewsView on X
  • Aug 20, 20262.7x their median

    许家印认罪视频流出 ⬇️ 《亲自揭露恒大 2.4 万亿窟窿怎么捅出来的》 https://t.co/uToM2VtiXv

    1963128152K viewsView on X
  • Sep 14, 20262.7x their median

    人是什么时候没有心气的? 还是麦家懂人性 https://t.co/FzhHMsmJi7

    2003518225K 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 94 interactions against 89K followers, an engagement rate of 0.106%. Measured over 25 original posts, its engagement rate beats 52% of 21,185 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 25K times each, and 0.38% of those impressions turn into an interaction. That is about 27.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 25 posts sampled, 68% carry an image or video and 36% link out. The account's strongest tracked post pulled 3.3K interactions, about 36x its own typical post.

What is Punk(2898 🙌💎)'s engagement rate on X?
Punk(2898 🙌💎) (@punk2898) has an engagement rate of 0.106%, based on the median interactions across 25 original posts from the last 30 days against 88,941 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.106%, Punk(2898 🙌💎) 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 @punk2898 have real engagement?
Its engagement rate beats 52% of the tracked X accounts closest to it in follower count (21,185 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 @punk2898 post?
Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 2.6 posts per day across the measured window.

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