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scavin engagement report

@scavin - 163K followers on X

Measured over 23 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Bottom 10% for its size
Per follower
0.003%
of 163K followers
Per impression
0.073%
5.5K views on a typical post
Reach
3.36%
of its followers see a post
Typical post
4
interactions (median)
Saved
0.037%
2 bookmarks on a typical post
Posting rate
1.67/day
active 73% of days
Peak time
04:00 UTC
Wednesday

A typical post picks up 4 interactions against 163K followers, an engagement rate of 0.003%. Measured over 23 original posts, its engagement rate beats 9% of 20,444 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 5.5K times each, and 0.073% of those impressions turn into an interaction. That is about 3.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 70% carry an image or video and 70% link out. The account's strongest tracked post pulled 6.3K interactions, about 1569x its own typical post.

Measured over 23 original posts from a 30-day window, last computed on October 25, 2026. Recurring tag: #发现频道.

Compared with accounts its own size

scavin's engagement rate beats 9% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 4% 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 0.003%, scavin sits below 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 04:00 UTC, and Wednesday 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video70% of posts+111%+108% to +115%34K
Outbound link70% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 70% 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.
  • 70% 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 89 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 14, 20261569x their median

    没想到还有这种项目。 不知道谁开发了 X博主精选画廊,收集了 463 位女菩萨,还做了热门分类。 并且内容相当简单直接,就是列表 > X 主页,没有任何其他内容。 纯男菩萨干的,给点个赞。 https://t.co/KvDZ3YlD8n https://t.co/5XB5HMCj50

    5.7K43816014606K viewsView on X
  • Oct 22, 2026344x their median

    让AI登录ssh修复这两天的漏洞,然后我跟他讲顺便看一看安全问题,随手做了一些安全加固。他说要重启,我说好。现在我连不上机器了….

    1.1K1397143199K viewsView on X
  • Sep 18, 2026188x their median

    Cute Desktop Wallpaper made with GPT Image 2.5 + Wan 3.0 prompt below ⤵️ https://t.co/SqVZK4u53K

    6667573159K viewsView on X
  • Sep 22, 2026100x their median

    ID,头像,全面更新,国际化了一刚。 这段时间重玩SNS,我精神状态始终比较稳定,应该是能恢复玩SNS了。 我保证不参与任何网上吵架撕逼,始终控制好情绪以及攻击性人格。 请大家欢迎我正式回归,和大家一起继续冲浪。 本条不抽外星人。 https://t.co/zbwagWB076

    2128176525K viewsView on X
  • Sep 30, 202645x their median

    最优雅的软件定制时代可能已经来了,不需要电脑也不需要购置昂贵的云沙箱,它就在手机上生产优化。 昨晚为了测试即将 Release 的 Minis Android 1.14 版本 https://t.co/jG35vvW6Rr,以及新接入的 Claude Sonnet 5.5 接入执行效果,让他基于我的日常 VPN 需求,在不到半小时的时间里,Minis 自己在手机中准备 Android Dev 开发环境,分析需求,编写代码,自动安装调试,完全在手机上 实现了一个完全可用并且高颜值的 VPN 客户端,他基于 Mihomo 内核,兼容 Surge 配置格式,作为日常 iOS(主力用 Surge) + Android 双机党来说,这甚至是一个完全可用的 App,并且解决了每次修改配置都要改不同配置格式的麻烦。 回复中将逐步说明如何做到的,有兴趣的可以自己试一试。

    1501215424K viewsView on X
  • Sep 20, 202637x their median

    Jev 是不是可以这样用! 别看里面的番号,因为第一次给它,没有任何筛选偏好,导致它推荐了一个莫名其妙的番号。 如果你给它:番号列表、你喜欢的外形风格、作品氛围、偏好、优先级,甚至之前喜欢的作品,越详细越好,它就可以了, https://t.co/t44e4uSTj0

    109533234K viewsView on X
  • Sep 21, 202627x their median

    拥有10万星的著名开源项目 Neovim 被网友发现他们的比特币地址在2023年收到了一笔 10BTC 的巨额捐赠(540 多万人民币)。 但是,Neovim 团队可能压根不知道这件事。这个钱包已经7年没动了。 网友喊话 Neovim 团队:有人知道这件事吗? https://t.co/ILhbWgx6i9

    9744261K viewsView on X
  • Sep 15, 202615x their median

    macOS 27 的这个锁屏界面,有点喜欢。另外所有的界面,都有一种把眼睛拍扁了的感觉 https://t.co/1CACcAMJHK

    32128026K viewsView on X
  • Aug 22, 202613x their median

    🎺 #发现频道 免费桌面护眼软件,蓝光过滤 + 可爱宠物久坐提醒,不锁屏不打扰 https://t.co/S68Dp87wuX

    15231211K viewsView on X
  • Sep 10, 202612x their median

    你的椅子该调多高?输入身高,桌椅跟着你调整 直接用:https://t.co/cixIWLja9L https://t.co/CsoQW6aaGn

    424306.8K 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

#发现频道

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 4 interactions against 163K followers, an engagement rate of 0.003%. Measured over 23 original posts, its engagement rate beats 9% of 20,444 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 5.5K times each, and 0.073% of those impressions turn into an interaction. That is about 3.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 70% carry an image or video and 70% link out. The account's strongest tracked post pulled 6.3K interactions, about 1569x its own typical post.

What is scavin's engagement rate on X?
scavin (@scavin) has an engagement rate of 0.003%, based on the median interactions across 23 original posts from the last 30 days against 162,609 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, scavin sits below 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 @scavin have real engagement?
Its engagement rate beats 9% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% 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 @scavin post?
Most posts go out around 04:00 UTC, and Wednesday is its busiest day, at roughly 1.67 posts per day across the measured window.

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