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Viking engagement report

@vikingmute - 69K followers on X

Measured over 42 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Middle of its size range
Per follower
0.119%
of 69K followers
Per impression
0.805%
10K views on a typical post
Reach
14.8%
of its followers see a post
Typical post
81
interactions (median)
Saved
0.278%
28 bookmarks on a typical post
Posting rate
2.07/day
active 63% of days
Peak time
13:00 UTC
Monday

A typical post picks up 81 interactions against 69K followers, an engagement rate of 0.119%. Measured over 42 original posts, its engagement rate beats 52% of 20,444 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 10K times each, and 0.805% 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 2.1 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 42 posts sampled, 48% carry an image or video and 48% link out. The account's strongest tracked post pulled 1.8K interactions, about 22x its own typical post.

Measured over 42 original posts from a 30-day window, last computed on September 19, 2026.

Compared with accounts its own size

Viking's engagement rate beats 52% of the tracked X accounts closest to it in follower count (20,444 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 33% 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 0.119%, Viking sits above the 25th percentile of the 204,798 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 13:00 UTC, and Monday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video48% of posts+111%+108% to +115%34K
Outbound link48% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 48% 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.
  • 48% 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 216 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

  • Sep 9, 202622x their median

    今天看到的最漂亮的网站: https://t.co/0mhbr52Ezj 把 k8s 集群做成了机架的样式,而且高度可操作,真的是 eye candy,还分了 front back 和 side 三个面,每个面讲的是同一套集群的不同切面,是一件精致的艺术品。 注意上面的各种按钮和场景都是可交互的,用来学习概念也很棒,我已经把玩许久了,谁做的这么棒啊。

    1.5K191987114K viewsView on X
  • Sep 4, 20268.9x their median

    我决定以后新产品上线再也不发 Product Hunt 了。 大概7年前我非常喜欢逛这个平台,最近刚好想着 Mole 可以去上面 launch 一下,于是就去发了一下,传视频、图片、填了非常多的表单终于好了,结果一进产品页,首先看到的是左边的一个广告卡片说 5k 刀可以帮我把整个 launch 搞定,给我惊呆了,然后在我的产品下面还插入了一个其他产品的横幅广告。 有一个吃了苍蝇的感觉,自己精心准备的发布页,变成了别人卖广告的地方,不过我理解肯定会有预算充足的公司会去买这个服务。 然后我就定好时间去发布了,我甚至还留好下午时间专门看能否有新用户来问问题,我来及时解答,结果搞笑的是发现甚至没有上首页,之前5年前记得发妙言的时候编辑得非常粗糙,都可以进首页时间线。 后面有专业的朋友解答,说没有被官方 feature 导致,需要先上这个,然后去买那种专门的推广团队服务帮你包装,才可以打下来,原来还需要配合平台表演,要去买赞买评论,一下又惊掉我了下巴,怎么一个好好的平台变成了这样。 更让我气的是啥,几乎没有带来产品交流和用户使用反馈的,但是给我这几天带来了将近 50 封陆陆续续的垃圾邮件,大概意思是可以帮助我更好的推广,或者说他们那边也有一个类似的平台让我去上架,到今天都还有垃圾邮件过来,有一种惹了一声腥味的感觉。 所以这个平台是一个看是热闹,但实际没有啥效果的平台,甚至看到有100 刀买 200 个赞就能进工作日前五的服务,当然不会给你带来一个真实的用户。不过他养活了一批帮你做上 Product Hunt Top 热度的团队,从你的描述、包装、封面、视频,到结合点、利益点,一整套方案给你出好,然后你付钱后得到了一种虚假的热闹感,陪着 Product Hunt 表演,产品成了他道具,发布日成了演出日,最后到底有没有吸引到新朋友,好像没人关心。 其实我非常期待,有一个可以给大伙真正友好交流产品的平台,大家来了遇到自己感兴趣的可以标记,可以下载,可以试用,也可以学习其他产品做得好的地方,友好交流,使用完甚至还可以相互给建议,哪儿做得好,哪儿需要改进,类似10年前 GitHub 那种乌托邦的感觉,人们不会关注你的包装和利益点,而是一伙喜欢做产品的人围在一起交流好的东西,让好东西被更多人用上,非常期待有这样的平台,我肯定会去天天逛。 后面就不再发 Product Hunt,当然也不推荐小伙伴们去发这个东西了,发GitHub、 X、发 Youtube、发 V2EX 其实都是非常不错的平台,那儿远比 Product Hunt 纯粹简单。

    5452613318102K viewsView on X
  • Sep 12, 20268.6x their median

    https://t.co/mcwRikB9Qx Ambient CSS 非常漂亮,也没有见过类似的库,用物理光照模型给 CSS React 组件做高光、阴影和表面材质 作者把同一套几何和灯光同时在 Blender里渲染 在浏览器里用 box-shadow 和 CSS 变量复现 有不同光源 材质的效果 还有组件:按钮 旋钮 滑条 推子 开关等 你如果想做一个惊艳的站点,完全可以用这套系统来试试看

    6116220332K viewsView on X
  • Dec 13, 20255.9x their median

    今天看到一个科普文章说这样改善睡眠:睡眠的时候很多人是口呼吸而不是鼻呼吸,鼻呼吸比口呼吸更好。 所以一种做法居然是用胶带把嘴巴贴上睡觉(mouth taping),可以被迫使用鼻呼吸,好多人反馈居然真的是早上精神更好,睡眠质量高,并且不口干。 查了一下 AI,这种做法居然是科学的?感觉很神奇,要不要去试试看...

    353181051233K viewsView on X
  • Sep 1, 20264.9x their median

    Vercel 这篇 《How our agents build on-brand pages with design.md》 非常好 https://t.co/KPpKrefqqW 文章说的是 他们如何用一份公开的 design.md 让各种 coding agent 在任何场景下也能做出看起来像 Vercel 自己设计的页面,比如 pdf,报告,一次性活动页等等。 通过不断进化 design.md,公开 css 文件,然后不断的评测迭代升级前两个文件。 这里不仅仅是 design.md, 还有一个公开的 css 文件,把 header、表格、数据条、图表等做成有限 有文档的 class/token。agent 只在 HTML 里用这些名字 不再自己发明字号、间距、布局。样式表在浏览器里加载 不进模型上下文,我觉得这个创新挺有意思 后面还有 Build your own 的教程,教你怎样从头开始打造一套这个系统,很实用。 截图是文章中用之前和之后的对比。

    2973263125K viewsView on X
  • Dec 10, 20254.3x their median

    我的第三个独立开发的项目 TinyShip 今天上线了 🎉🎉 https://t.co/o0BI6W8DRb 看起来是 another SaaS template,但我认为完全不是重复造轮子,市面上确实有非常多的 SaaS 模板,但我想创造的是一个全新不一样的体验。 1 支持双框架 ,为了满足不同框架爱好者,才用了 Next.js 和 Nuxt.js 双框架设计,这也是我在市面上看到的第一个 Nuxt 模版。 2 双市场策略,完全适配国内本土和出海项目,本土支持 微信登录/微信支付/阿里云短信 国际市场支持 Stripe、Creem 支付,主流 OAuth 登录 以及 Twilio 短信。 说起个人项目,现在非常多人都在鼓吹出海,目前市面上的模板也都是针对出海项目的。但我认为独立开发一定不能忽略国内市场。虽然一直都在说国内付费意愿低,在你最熟悉的市场,其实比已经竞争非常激烈的出海项目有时候更容易成功。 对于价格来说,大多数 SaaS 模板的定价都是对标国外架构,大多 100 到 200 美元。而给自己的定价策略是低价并且优质,让更多开发者有能力购买我的产品。所以价格是299人民币,早鸟价格期间 199 元,应该算是一个大多数人都能承受的价格了。 还有更多详情请看 👇

    23622876495K viewsView on X
  • Sep 15, 20263.6x their median

    如果我是现在的学生,我会感觉世道艰难。 10年前,我当学生的时候,只要在学校踏踏实实的努力学习,机会是非常多的。无论大公司、创业的机会,还是公务员、考研的机会,亦或者是出国深造的机会,都有无限可能。只要你想,剩下的就是努力。 现在我感觉当学生很难,起步就得名校+硕士、博士,学啥都怕 AI 取代,学 Vibe Coding,又怕手写不会了;学科研,又怕离工程太远;学工程又怕离科研太远。不往上累学历,又怕学历不够;往上读,又怕错过 AI 时代;出国怕留不下、又怕以后在国内没有竞争力。 反正现在的学生想想就很难、很焦虑。

    213865649K viewsView on X
  • Sep 5, 20263.4x their median

    每次发什么新模型 总有一批人复刻什么红警 杀戮尖塔 马里奥赛车 炒作一番 视频里超级粗糙的demo放个几分钟 细节都是一坨屎 然后结论就是游戏业也要死了

    205566115K viewsView on X
  • Sep 17, 20262.9x their median

    Zed 新出的这个 delta 不知道大家用了没有 https://t.co/OYyIgPQzlP 我简单用了一下,非常有趣,放弃了 PR 的合并代码的方式,而是换成了一种特殊的 thread 形式,因为他们觉得 PR 对 Agent 已经非常不友好了,AI 帮你写得又快又多,一次改动往往一大坨 打开 PR 面对海量 diff,又不知道你和 AI 当时怎么讨论 为什么这么改 它们的新方式是一种 thread 的形式,开发一个功能开 thread,跟 agent 边聊边改,队友可以随时进同一个房间 看到同一份正在改的代码 ,这个有点多人实时在线的意思。 改好代码以后开一个子 review thread 子房间带着原来的对话上下文 还有隔离的副本,带着上下文审 修改 再合回 并且也可以多人协作 它在中间还加了一层 DeltaDB,记的是两个 commit 之间发生了什么 DeltaDB 把这些增量 人/agent 消息跟着 thread 留下来 可以保留代码演化的详细流程 还有就是它们公司自家仓库上周已关掉 PR 团队日常开发全在 Delta 里完成 我觉得是非常有趣的一个新的工作流 continuous engineering,可以用 zed 的自己订阅,也可以 ChatGPT 以及 Grok 的订阅,也可以 BYOK

    2021712429K viewsView on X
  • Sep 14, 20262.5x their median

    2026 年的今天我还是会被 GPT 写的前端给丑到发出惊呼。 https://t.co/tDCy5e08bY

    163335588K 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 81 interactions against 69K followers, an engagement rate of 0.119%. Measured over 42 original posts, its engagement rate beats 52% of 20,444 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 10K times each, and 0.805% 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 2.1 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 42 posts sampled, 48% carry an image or video and 48% link out. The account's strongest tracked post pulled 1.8K interactions, about 22x its own typical post.

What is Viking's engagement rate on X?
Viking (@vikingmute) has an engagement rate of 0.119%, based on the median interactions across 42 original posts from the last 30 days against 69,113 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.119%, Viking sits above the 25th percentile of the 204,798 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 @vikingmute have real engagement?
Its engagement rate beats 52% of the tracked X accounts closest to it in follower count (20,444 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 @vikingmute post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 2.07 posts per day across the measured window.

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