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Docker engagement report

@Docker - 558K followers on X

Measured over 49 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Middle of its size range
Per follower
0.007%
of 558K followers
Per impression
0.324%
13K views on a typical post
Reach
2.27%
of its followers see a post
Typical post
41
interactions (median)
Saved
0.016%
2 bookmarks on a typical post
Posting rate
1.8/day
active 97% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 41 interactions against 558K followers, an engagement rate of 0.007%. Measured over 49 original posts, its engagement rate beats 30% 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 13K times each, and 0.324% of those impressions turn into an interaction. That is about 2.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 49 posts sampled, 80% carry an image or video and 82% link out. The account's strongest tracked post pulled 1.6K interactions, about 40x its own typical post.

Measured over 49 original posts from a 30-day window, last computed on October 13, 2026.

Compared with accounts its own size

Docker's engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 22% 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 0.007%, Docker sits above the 10th percentile of the 204,956 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 204,956 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 13:00 UTC, and Thursday 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video80% of posts+111%+108% to +115%34K
Outbound link82% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 80% 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.
  • 82% 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 259 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 12, 202640x their median

    Today we're announcing the public beta of a fully rebuilt Docker VMM. This is a new first-party virtualization layer underneath Docker Desktop, improving performance and stability across your Docker Desktop experiences. Now available on both Mac and Windows, starting with Docker Desktop v4.86. Read more: https://t.co/7ZSlGIYTRT

    1.4K1392722110K viewsView on X
  • Sep 24, 202621x their median

    Today we're introducing Cloud Sandboxes: same microVM isolation as Docker Sandboxes on your laptop, same CLI, always-on Docker-managed compute. Close your laptop. Keep the agent running. Move between local and cloud with one command. $250 credit for new accounts: https://t.co/VbLQI48fHX

    703694128106K viewsView on X
  • Sep 24, 202613x their median

    Today at @WeAreDevs, Docker and the @linuxfoundation are announcing a collaboration around the Docker Sandbox Kit Specification: an open standard for declaring what an agent may do, where it may reach, and what it may touch. Open source under Apache 2.0. Read the deep dive: https://t.co/meuAmgy5Ln

    43056291342K viewsView on X
  • Aug 18, 202612x their median

    Docker Sandboxes is now in the official @AnthropicAI Claude Code docs as a recommended way to run Claude Code with microVM-level isolation. Its own kernel, its own Docker daemon, no Docker Desktop required: https://t.co/dehQVwcRSJ https://t.co/GKmaVStIbf

    421478740K viewsView on X
  • Sep 4, 20264.3x their median

    Most devs running coding agents in YOLO mode have no idea what the agent can actually reach. Eric Jia and @Kiview demo getting started with Docker Sandboxes, credential injection, kits, containers vs sandboxes, and a brand new SSH feature: https://t.co/AkoVj55b9F https://t.co/OEnkmTslHL

    1422013021K viewsView on X
  • Aug 16, 20263.8x their median

    Still installing ESP-IDF directly on your host? You're working harder than necessary. Docker Captain Marco Franzon on reproducible ESP32 builds and letting AI agents work on firmware safely with Docker Sandboxes: https://t.co/hI0d7XNZHt https://t.co/Y19vEdtHA8

    133165120K viewsView on X
  • Oct 10, 20263.6x their median

    "Docker is giving the industry an open, repeatable way to package an AI agent, its tools, and its guardrails as one artifact." Chris Aniszczyk, CNCF CTO. https://t.co/7Y0zLp2jjl on why it matters that the format is open and governed by the CNCF. Read more: https://t.co/U0LYhsP89N

    1181411318K viewsView on X
  • Aug 10, 20263.4x their median

    Docker Sandboxes is trending on HackerNews today. It’s still early days for Docker Sandboxes. This conversation and your feedback is directly shaping what we build next. Jump in and add your own: https://t.co/jvA4wKHWtO https://t.co/FNQCrutO6b

    116146326K viewsView on X
  • Sep 5, 20263.3x their median

    Most AI evaluation discussions focus on benchmarks and scoring. The part that quietly breaks reproducibility is the execution environment. Docker Captain Karan Verma explored whether Docker Sandboxes and SBX Kits could make evaluation workflows easier to rerun and compare: https://t.co/AfaqxzUdKd

    992016219K viewsView on X
  • Aug 14, 20263.3x their median

    The Docker VMM public beta landed a few days ago and it's already in @tldrnewsletter DevOps. A fully rebuilt, first-party virtualization layer with faster startup and better performance across the board. Here's what TLDR had to say: https://t.co/ICbQhivJp1 https://t.co/4WGE5OmorQ

    12481219K 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 41 interactions against 558K followers, an engagement rate of 0.007%. Measured over 49 original posts, its engagement rate beats 30% 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 13K times each, and 0.324% of those impressions turn into an interaction. That is about 2.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 49 posts sampled, 80% carry an image or video and 82% link out. The account's strongest tracked post pulled 1.6K interactions, about 40x its own typical post.

What is Docker's engagement rate on X?
Docker (@Docker) has an engagement rate of 0.007%, based on the median interactions across 49 original posts from the last 30 days against 557,974 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, Docker sits above the 10th percentile of the 204,956 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 @Docker have real engagement?
Its engagement rate beats 30% 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 @Docker post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 1.8 posts per day across the measured window.

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