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dontbesilent engagement report

@dontbesilent - 91K followers on X

Measured over 34 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Middle of its size range
Per follower
0.071%
of 91K followers
Per impression
0.642%
10.0K views on a typical post
Reach
11.1%
of its followers see a post
Typical post
64
interactions (median)
Saved
0.181%
18 bookmarks on a typical post
Posting rate
2.07/day
active 40% of days
Peak time
07:00 UTC
Saturday

A typical post picks up 64 interactions against 91K followers, an engagement rate of 0.071%. Measured over 34 original posts, its engagement rate beats 45% of 14,930 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 10.0K times each, and 0.642% of those impressions turn into an interaction. That is about 11.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 34 posts sampled, 38% carry an image or video and 9% are part of a thread. The account's strongest tracked post pulled 1.8K interactions, about 29x its own typical post.

Measured over 34 original posts from a 30-day window, last computed on September 26, 2026.

Compared with accounts its own size

dontbesilent's engagement rate beats 45% of the tracked X accounts closest to it in follower count (14,930 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 30% 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 0.071%, dontbesilent sits above the 25th percentile of the 151,319 accounts in this comparison. That places it in the below the median band, which runs 0.021% to 0.126%.

p100.003%
p250.021%
p50 (median)0.126%
p750.6%
p902.30%
p9984.3%
Engagement rate as a share of followers, across the 151,319 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 27,202 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 percentile0.003%
25th percentile0.021%
50th percentile0.126%
75th percentile0.6%
90th percentile2.30%
99th percentile84.3%

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 07:00 UTC, and Saturday 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video38% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 38% 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 198 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 23, 202629x their median

    42 分钟揭秘我的内容体系 https://t.co/t4eoxcYErW

    1.4K22413840194K viewsView on X
  • Aug 27, 20268.1x their median

    两年涨粉 100 万,32 分钟讲透选题 https://t.co/dcliDd01Vl

    4107333528K viewsView on X
  • Mar 20, 20266.2x their median

    当我意识到 skill 其实是以文本形式存在的软件 我发现我积累的一万多条推文,已经完全具备了做出这个软件的基础条件 接下来做一组 skill 发布到 GitHub —— dbskill https://t.co/jsEaZjD9Sa

    3402323858K viewsView on X
  • Sep 25, 20265.3x their median

    决定认真做一期科普视频,贡献点大众价值 列个提纲 1. 什么是 Agent 2. 什么是 skill,skill 的作用是什么 3. dbskill 是什么、如何安装、如何更新 4. 常用 skill 的使用过程演示 5. 复杂 skill 的链式调用 6. skill 的使用,与对内容的理解的结合 预计 20~30min

    2802535021K viewsView on X
  • Aug 22, 20264.9x their median

    我跟大家说,你们做自媒体千万不要内耗啊,就是你们老觉得别人骂你或者拉黑你是有理由的 其实根本没有道理可讲的 我可能是第一个被纳瓦尔拉黑的中国博主,我其实很不理解 第一,我跟纳瓦尔语言并不互通,他发英文我发中文 第二,我的内容里几乎从来没有提起过他,你更别说黑他了 第三,我唯一被他刷到的可能性就是推特把我的中文自动翻译成了英文推送给他。但我看他推的上关注了 0 个人,也就是他可能并不想花时间在推测信息流上。那你说,那你还拉黑我干啥?你都不看信息流,你拉黑我干啥? 真的是没有道理可讲的 以后别说我是中推纳瓦尔了🤣英推纳瓦尔已经给我拉黑了

    237561857K viewsView on X
  • Aug 29, 20263.6x their median

    我创业失败不能怪我,怪我八字是身弱的,怪我妈给我弄的高敏感,怪我爸给我弄的低能量,怪我祖宗十八代给我弄了个不好的 MBTI

    1891127525K viewsView on X
  • Sep 20, 20263.5x their median

    做自媒体如何不内耗 https://t.co/wrJll3zfNU

    1941613313K viewsView on X
  • Aug 29, 20263.1x their median

    dbskill 史诗级更新,自己调用自己帮你搞流量 比如说我们现在想搞流量,但不知道应该调用哪一个 skill,也不知道怎么写提示词 你直接说:/dbs 我想追一下孙宇晨、景甜的热点。但是我不知道怎么追才能有流量,并且还能同时体现我的专业知识 dbs 会直接给你提示词 ⬇️⬇️⬇️ 使用 /dbs-standard-answer。 我想追孙宇晨和景甜最近的热点,但不想只复述新闻。我希望借助热点吸引流量,同时让观众看见我的专业判断,并能与我的业务或个人 IP 建立联系。 如果当前对话无法确认我的专业领域和服务对象,开工前只问我 1 个问题。 请完成以下任务: 1. 分别核验孙宇晨、景甜当前热点的具体事件、时间线和可靠来源,不采用未经证实的传闻; 2. 不要强行把两个人放进同一条视频,分别判断哪个热点与我的专业连接更自然; 3. 区分「纯吃瓜信息」「大众真正关心的问题」和「我能提供的专业增量」; 4. 为每个热点提出 3 个短视频切口,写清目标受众、情绪入口、专业理论、核心观点和观众能获得的行动变化; 5. 评估每个切口的流量潜力、专业辨识度、事实风险和过度蹭热点风险; 6. 分别选出最值得制作的 1 个切口,并给出完整短视频原型:问题标题、开头钩子、事件铺垫、理论解释、案例对比、最小行动、结果验证和结尾回扣; 7. 补充历史同构的成功案例、失败案例与反例,提炼「知识博主追名人热点」的条件性标准答案。 最终交付一份统一方案,明确告诉我:先追哪一个热点、采用什么专业切口、为什么它更可能兼顾流量和专业性。不要把未经核实的动机、关系或争议写成事实。

    1631715415K viewsView on X
  • Sep 22, 20263.1x their median

    前银行副行长教人发朋友圈,一人 1 万 @zengge1984 https://t.co/tZVtcSIwqx

    1541424429K viewsView on X
  • Nov 25, 20252.8x their median

    好的商业模式会逼你成为一个好人 坏的商业模式会逼你成为一个恶人 当你发现在你的商业模式里,每次你免费分享就可以得到回报,就可以赚到钱的时候,你一定会去免费分享 这是以盈利为目的的商业行为,只是恰好迎合了一个人想要成为好人的心理需求 当你发现在你的商业模式里,你不骗不割就不能赚钱的时候,你很难不成为一个恶人 即便你身边的亲戚朋友都认为你是一个好人,但这就是你的商业模式对你提出的要求

    153108864K 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 64 interactions against 91K followers, an engagement rate of 0.071%. Measured over 34 original posts, its engagement rate beats 45% of 14,930 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 10.0K times each, and 0.642% of those impressions turn into an interaction. That is about 11.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 34 posts sampled, 38% carry an image or video and 9% are part of a thread. The account's strongest tracked post pulled 1.8K interactions, about 29x its own typical post.

What is dontbesilent's engagement rate on X?
dontbesilent (@dontbesilent) has an engagement rate of 0.071%, based on the median interactions across 34 original posts from the last 30 days against 90,945 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.071%, dontbesilent sits above the 25th percentile of the 151,319 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 @dontbesilent have real engagement?
Its engagement rate beats 45% of the tracked X accounts closest to it in follower count (14,930 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 @dontbesilent post?
Most posts go out around 07:00 UTC, and Saturday is its busiest day, at roughly 2.07 posts per day across the measured window.

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