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Geek engagement report

@geekbb - 117K followers on X

Measured over 30 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Middle of its size range
Per follower
0.054%
of 117K followers
Per impression
0.376%
17K views on a typical post
Reach
14.3%
of its followers see a post
Typical post
62
interactions (median)
Saved
0.385%
64 bookmarks on a typical post
Posting rate
1.5/day
active 37% of days
Peak time
01:00 UTC
Tuesday

A typical post picks up 62 interactions against 117K followers, an engagement rate of 0.054%. Measured over 30 original posts, its engagement rate beats 43% 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 17K times each, and 0.376% of those impressions turn into an interaction. That is about 14.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 01:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 87% carry an image or video and 47% link out. The account's strongest tracked post pulled 11K interactions, about 178x its own typical post.

Measured over 30 original posts from a 30-day window, last computed on October 7, 2026.

Compared with accounts its own size

Geek's engagement rate beats 43% 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 20% 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 0.054%, Geek sits above the 25th percentile of the 205,374 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 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 01:00 UTC, and Tuesday 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video87% of posts+111%+108% to +115%34K
Outbound link47% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 87% 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.
  • 47% 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 115 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 29, 2026178x their median

    GPT-6.1 is a good model. And it’s unbelievably efficient. Included in all paid plans and on the API today. https://t.co/XateucqneE

    9.3K3951.1K2821.0M viewsView on X
  • Oct 3, 202672x their median

    https://t.co/y0OfJBMOKY

    4.2K12018016380K viewsView on X
  • Oct 6, 202662x their median

    https://t.co/2fouDdf15n

    3.8K36335278K viewsView on X
  • Oct 6, 202615x their median

    a new stealth model on OpenCode (Exo Free). https://t.co/rDsYSpRIZD

    88012191054K viewsView on X
  • Sep 28, 202613x their median

    再分享一个实用的场景。 Opus 5.5的3D建模能力和理解能力真的强的可怕,我花了一个小时就实现了这个小项目。 我只提供了一张户型图,让它按原始户型图的尺寸还原平面,可以在 2D 里摆放家具、测量、拆改墙体、更换地面材料,还能用流畅的过渡动画一键切换到 3D,在鸟瞰和漫游视角下查看设计方案。 https://t.co/wHkeVxpAZl

    631701195341K viewsView on X
  • Sep 30, 202612x their median

    Cloudflare 要自己做 CA 了~ Cloudflare 宣布将申请成为公共证书颁发机构(CA),已向 Chrome、Apple、Microsoft、Mozilla 四大根证书计划提交申请。 https://t.co/1tuWaEy1IA

    6774327967K viewsView on X
  • Oct 5, 20269.0x their median

    https://t.co/bB45AAX32Q

    47531441184K viewsView on X
  • Oct 7, 20266.9x their median

    爽,无限Astra来了,开源 dot2api,完全安全不封号 对于dot的额度消耗,ChatGPT官方的说法是: dot 聊天不会消耗套餐的额度; 那问题就变成了:怎么在 Dot 入口之外用上它? Dot 没有 API,但它能通过 MCP 连接器被唤醒。 所以我写了 dot2api: 把你的 Dot 包成一个 OpenAI 和 Claude 兼容的端点。 适合:定时任务、n8n 这类自动化流程、自建 Telegram 或飞书机器人、让别的 Agent 把一件事委托给 Dot。 开源地址:https://t.co/DUhfcCHrZU

    3423148856K viewsView on X
  • Oct 6, 20265.3x their median

    听说这个项目很屌,在 ESP32-C3 上实现 Pi-hole 级别的 DNS 广告拦截。 把 537,000 个域名以 40 位 FNV-1a 哈希的形式排序存在 flash 里,用二分查找匹配,查询时整个进程只吃掉约 50 KB RAM,10 ms 内对命中域名回 0.0.0.0,没命中就转给上游。 控制面是自带的 Web 面板,能按客户端看拦截数、封客户端、加白加黑;固件和黑名单都走 WiFi OTA,黑名单还能指向 GitHub Actions 每周更新。 https://t.co/nmpklBmk0q

    2293562236K viewsView on X
  • Sep 29, 20264.9x their median

    太好了,在服务器上部署了 Magpie,完全可以替代 CLI Proxy API,把 Open WebUI 等服务统统接入其 API 进行统一管理。 https://t.co/YEYMZEuNoL

    2611821251K 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 62 interactions against 117K followers, an engagement rate of 0.054%. Measured over 30 original posts, its engagement rate beats 43% 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 17K times each, and 0.376% of those impressions turn into an interaction. That is about 14.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 01:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 87% carry an image or video and 47% link out. The account's strongest tracked post pulled 11K interactions, about 178x its own typical post.

What is Geek's engagement rate on X?
Geek (@geekbb) has an engagement rate of 0.054%, based on the median interactions across 30 original posts from the last 30 days against 116,688 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.054%, Geek sits above the 25th percentile of the 205,374 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 @geekbb have real engagement?
Its engagement rate beats 43% 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 @geekbb post?
Most posts go out around 01:00 UTC, and Tuesday is its busiest day, at roughly 1.5 posts per day across the measured window.

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