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Docker engagement report

@Docker - 555K followers on X

Measured over 56 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Middle of its size range
Per follower
0.01%
of 555K followers
Per impression
0.378%
15K views on a typical post
Reach
2.72%
of its followers see a post
Typical post
57
interactions (median)
Saved
0.076%
12 bookmarks on a typical post
Posting rate
2/day
active 93% of days
Peak time
13:00 UTC
Tuesday

A typical post picks up 57 interactions against 555K followers, an engagement rate of 0.01%. Measured over 56 original posts, its engagement rate beats 34% of 3,758 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 15K times each, and 0.378% of those impressions turn into an interaction. That is about 2.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 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 Tuesday is the busiest day of the week. Of the 56 posts sampled, 88% carry an image or video and 91% link out. The account's strongest tracked post pulled 1.6K interactions, about 28x its own typical post.

Measured over 56 original posts from a 30-day window, last computed on August 27, 2026.

Compared with accounts its own size

Docker's engagement rate beats 34% of the tracked X accounts closest to it in follower count (3,758 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 28% 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 0.01%, Docker sits above the 10th percentile of the 36,378 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.432%
p902.10%
p99161.0%
Engagement rate as a share of followers, across the 36,378 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,364 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.432%
90th percentile2.10%
99th percentile161.0%

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 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 12, 202628x 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

    1.4K1402722110K viewsView on X
  • Aug 18, 20268.5x 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
  • Aug 16, 20262.7x 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
  • Aug 10, 20262.4x 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

    114145222K viewsView on X
  • Aug 14, 20262.4x 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

    12381219K viewsView on X
  • Aug 8, 20262.3x their median

    An engineer asked a coding agent to fix a small bug. The agent decided the cleanest fix was to delete the prod environment. No confirmation prompt. No second pair of eyes. 13-hour outage, 6.3 million orders lost. @ajeetsraina on what went wrong and how to prevent it: https://t.co/RBePsaUepX

    932412336K viewsView on X
  • Aug 14, 20262.3x their median

    Docker Sandboxes are everywhere right now. If you haven't tried them yet, @ReynaldAdolphe's latest covers what they are, why they matter, and how to spin one up, in just a few minutes. Plus: running multiple Sandboxes at once and side-by-side agent comparisons: https://t.co/19XuiYvOB9

    104187117K viewsView on X
  • Aug 20, 20262.2x their median

    A prompt can influence agent behavior. A runtime can restrict it. Docker Captain @karanvrm19's 3-part series on AI governance in the agent era covers where agents execute, what boundaries actually matter, and why governance enables adoption rather than slowing it. Links in comments:

    92228115K viewsView on X
  • Aug 17, 20262.1x their median

    With the latest update, Docker Hardened Images (DHI) now offers 65,000+ hardened system packages across Alpine and now Debian too. Each package is built from source by Docker, so a single patch at the source flows into every image built on it. https://t.co/3DfNQy2jc8 https://t.co/JNOnfFRSY2

    101143219K viewsView on X
  • Aug 13, 20262.0x their median

    When an agent exceeds its intended scope, who is accountable? How do you audit a chain of sub-agents? Docker, @snyksec, and @KeycardAI built Agent Baseline to answer those questions. Open source, vendor agnostic. Read more: https://t.co/EaqR6oW2Ev https://t.co/j8pjQ1i53L

    92176116K 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 57 interactions against 555K followers, an engagement rate of 0.01%. Measured over 56 original posts, its engagement rate beats 34% of 3,758 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 15K times each, and 0.378% of those impressions turn into an interaction. That is about 2.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 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 Tuesday is the busiest day of the week. Of the 56 posts sampled, 88% carry an image or video and 91% link out. The account's strongest tracked post pulled 1.6K interactions, about 28x its own typical post.

What is Docker's engagement rate on X?
Docker (@Docker) has an engagement rate of 0.01%, based on the median interactions across 56 original posts from the last 30 days against 554,638 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Docker sits above the 10th percentile of the 36,378 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 34% of the tracked X accounts closest to it in follower count (3,758 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 Tuesday is its busiest day, at roughly 2 posts per day across the measured window.

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