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CodeAI engagement report

@codeorg - 933K followers on X

Measured over 8 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 933K followers
Per impression
0.239%
2.9K views on a typical post
Reach
0.31%
of its followers see a post
Typical post
7
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.33/day
active 30% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 7 interactions against 933K followers, an engagement rate of 0.001%. Measured over 8 original posts, its engagement rate beats 10% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.9K times each, and 0.239% of those impressions turn into an interaction. That is about 0.314% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 75% carry an image or video and 63% link out. The account's strongest tracked post pulled 6.5K interactions, about 926x its own typical post. Recurring topics include #hourofai, #adalovelaceday, #hornetpride.

Measured over 8 original posts from a 30-day window, last computed on October 18, 2026. Recurring tags: #hourofai, #adalovelaceday, #hornetpride.

Compared with accounts its own size

CodeAI's engagement rate beats 10% of the tracked X accounts closest to it in follower count (20,182 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 17% 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 0.001%, CodeAI sits below the 10th percentile of the 204,424 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,424 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,888 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 percentile0.677%
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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video75% of posts+111%+108% to +115%34K
Outbound link63% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 75% 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.
  • 63% 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 252 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

  • Jul 20, 2026926x their median

    57 years ago today, humans first landed on the Moon. The source code that helped get them there? It’s on GitHub. Margaret Hamilton led the MIT team responsible for Apollo’s onboard flight software. The Apollo Guidance Computer software eventually grew to about 145,000 lines of code. 👀 Explore the original Apollo 11 guidance software for the Command and Lunar Modules. 🌕 https://t.co/x1lDIB4vjX Image credit: Draper Laboratory; restoration by Adam Cuerden, via Wikimedia Commons.

    5.3K914132100305K viewsView on X
  • Feb 18, 2022490x their median

    Code + @Coldplay = #codeplay! We're teaming up with Coldplay to inspire students to code & dance. Create a dance to "Higher Power" — the band might spotlight yours on social media, and you could get to see the band live! Let's see what you create! Visit https://t.co/qSCFke77Cu https://t.co/6p6X6tmxdX

    2.6K526178123View on X
  • Oct 7, 202629x their median

    Margaret Hamilton was the first woman programmer on Apollo, led the team that wrote its flight software, and fought for software engineering to be taken seriously. Thank you, Margaret, for all you gave computer science and the millions of students you inspire. https://t.co/svnXdGAv7T

    16834207.3K viewsView on X
  • Jun 9, 202616x their median

    Before they were astronauts, the @NASA Artemis III crew members were students -- of mathematics, political science, medicine & engineering.🧑‍🎓 Meet the crew that will pave the way for lunar surface missions & inspire the Artemis Generation of explorers!✨ https://t.co/gxyGRXwBqV https://t.co/TNvS00W1An

    10025214.7K viewsView on X
  • Aug 25, 20268.4x their median

    Four CodeAI programs won Educators Pick #BestofSTEM Awards this year: AI Foundations, AI Teaching Assistant, Mix & Move with AI, and Web Lab. Chosen by the educators who use them. Thanks to everyone who voted! Learn more: https://t.co/oksi5H74qx https://t.co/xOERQKARdc

    948205.2K viewsView on X
  • Jul 16, 20264.4x their median

    This 5 minute video is worth watching. It explains Anthropic’s research into how AI works. AI has become so advanced we no longer truly know how it works. We build it and then study it to try to understand what we built! 🤯 https://t.co/cJrfTHSzkG

    3111117.9K viewsView on X
  • Jun 18, 20263.6x their median

    AI literacy empowers students to shape the future of AI. The AILit Framework, developed by @EUDigitalEdu and @OECDEduSkills with CodeAI and international experts, defines what students need to thrive with AI. Available now: https://t.co/sqSGS2Uipj #AILiteracy #AILitFramework https://t.co/RzSCuSEn0I

    1518213.6K viewsView on X
  • Aug 18, 20264.1x their median

    Today we’re excited to announce a partnership with @OpenAI. 🧵 Frontier models are changing fast. This partnership creates an ongoing exchange between OpenAI’s researchers and safety experts and the CodeAI educators who build our curriculum.

    16101216K viewsView on X
  • Jun 12, 20262.5x their median

    The final AILit Framework launches June 18! Join us online to explore the competences students need to navigate and shape a future with AI: https://t.co/YKP0FIHdT8 @EUDigitalEdu @OECDEduSkills #AILiteracy #AILitFramework https://t.co/7b2lV6wTWR

    519101.8K viewsView on X
  • Jul 10, 20263.1x their median

    On July 1, Mississippi signed the Future Innovators Act into law — and we're proud to have helped shape it. Every child in the state now has a clearer path to the skills that define opportunity in the AI era. Thank you, @tatereeves, @BSSglobalLLC, @AnthonyAOwen, @BethanyS_MS, @chrisj1600.

    319002.3K 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.

Recurring topics

#hourofai#adalovelaceday#hornetpride

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 7 interactions against 933K followers, an engagement rate of 0.001%. Measured over 8 original posts, its engagement rate beats 10% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.9K times each, and 0.239% of those impressions turn into an interaction. That is about 0.314% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 75% carry an image or video and 63% link out. The account's strongest tracked post pulled 6.5K interactions, about 926x its own typical post. Recurring topics include #hourofai, #adalovelaceday, #hornetpride.

What is CodeAI's engagement rate on X?
CodeAI (@codeorg) has an engagement rate of 0.001%, based on the median interactions across 8 original posts from the last 30 days against 932,968 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, CodeAI sits below the 10th percentile of the 204,424 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 @codeorg have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (20,182 accounts), which puts it in the bottom quarter for its size 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 @codeorg post?
Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 0.33 posts per day across the measured window.

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