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Thoughtworks engagement report

@thoughtworks - 167K followers on X

Measured over 44 original posts from a 30-day window, last computed on October 22, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 167K followers
Per impression
0.237%
1.3K views on a typical post
Reach
0.75%
of its followers see a post
Typical post
3
interactions (median)
Saved
0.079%
1 bookmarks on a typical post
Posting rate
1.77/day
active 80% of days
Peak time
07:00 UTC
Wednesday

A typical post picks up 3 interactions against 167K followers, an engagement rate of 0.002%. Measured over 44 original posts, its engagement rate beats 7% of 20,444 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 1.3K times each, and 0.237% of those impressions turn into an interaction. That is about 0.755% 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 07:00 UTC, and Wednesday is the busiest day of the week. Of the 44 posts sampled, 55% carry an image or video, 11% are part of a thread and 77% link out. The account's strongest tracked post pulled 32 interactions, about 11x its own typical post.

Measured over 44 original posts from a 30-day window, last computed on October 22, 2026.

Compared with accounts its own size

Thoughtworks's engagement rate beats 7% 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 13% 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 0.002%, Thoughtworks sits below the 10th percentile of the 205,261 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 205,261 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 07:00 UTC, and Wednesday 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video55% of posts+111%+108% to +115%34K
Outbound link77% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 55% 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.
  • 77% 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 265 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 28, 202611x their median

    How can AI agents stay aligned with human judgment as they take on more responsibilities? We discuss 5 key controllers that shape agent behavior & the importance of shared knowledge. Discover the balance between control and collaboration in AI: https://t.co/cE7mNykahV https://t.co/V2eIK1vnGt

    274103.1K viewsView on X
  • Sep 11, 20264.7x their median

    AI-assisted development isn’t about writing the perfect prompt. Javier López Fernández explores a different approach: speak in natural language, demand small formal artifacts, validate intent and iterate. Read more - https://t.co/j3G88ZFc84

    104002.6K viewsView on X
  • Aug 23, 20264.3x their median

    Thoughtworks has been named to the @constellationr ShortList™ for Spatial Computing Design and Services. We work with organizations to connect physical and digital environments, helping improve operations and create more intuitive experiences for customers and employees. https://t.co/GXpt5VJ4ck

    103002.2K viewsView on X
  • Aug 19, 20264.0x their median

    If AI agents are writing more code, do we still need to design it for humans? Valentina Servile explores why good design and human judgment matter more than ever as humans and AI agents collaborate to build adaptable, reliable software. 👉 https://t.co/xF8ExkDzW1 https://t.co/3WGmW7f2ZX

    92103.6K viewsView on X
  • Oct 18, 20263.3x their median

    As AI agents gain the ability to spend, who controls their decisions? Matt Kamelman explores why agentic payments need more than authorization, calling for clear governance, accountability and executable authority. Read more 👉 https://t.co/JL7TmxM5o5

    40601.7K viewsView on X
  • Oct 20, 20262.7x their median

    The biggest challenge to agentic AI at airports isn't AI. It's fragmented data. ✈️ Robert Drotar explores why unifying operational systems is essential before AI agents can make reliable decisions. Read more 👉 https://t.co/AFQMF0Mzyn

    60201.2K viewsView on X
  • Oct 19, 20262.7x their median

    What makes AI agents reliable? The right harness. Piyush Sonawane explores how context, tools, guardrails and feedback help AI agents move beyond demos to real-world applications. Explore the practical guide 👉 https://t.co/7DYOAuGfkU https://t.co/OH15HSvJR5

    40401.9K viewsView on X
  • Sep 25, 20262.7x their median

    Discover how time-series and transaction foundation models are revolutionizing the industry, with insights from RBC and Revolut: https://t.co/lOWDvqmHzf Plus, get a four-step roadmap to enhance your payment architecture. Join us at the Thoughtworks booth at Sibos! https://t.co/C20buu6ayj

    42201.6K viewsView on X
  • Oct 21, 20262.3x their median

    Cheaper code won’t kill software development, but it’s changing the industry. From AI agents to shifting roles and new opportunities, Thoughtworks’ Chris Ford explores what happens when coding costs fall. Read more 👉https://t.co/nRpssVtLbE

    50111.4K viewsView on X
  • Oct 16, 20262.3x their median

    NVIDIA explains what makes our partnership work: domain expertise, open source and early access to new models. Congratulations to @nvidia on the launch of Nemotron 3.5 Super VL. We had early access to the new vision-language model and put it to the test. Here’s what we found:

    32202.2K 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 3 interactions against 167K followers, an engagement rate of 0.002%. Measured over 44 original posts, its engagement rate beats 7% of 20,444 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 1.3K times each, and 0.237% of those impressions turn into an interaction. That is about 0.755% 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 07:00 UTC, and Wednesday is the busiest day of the week. Of the 44 posts sampled, 55% carry an image or video, 11% are part of a thread and 77% link out. The account's strongest tracked post pulled 32 interactions, about 11x its own typical post.

What is Thoughtworks's engagement rate on X?
Thoughtworks (@thoughtworks) has an engagement rate of 0.002%, based on the median interactions across 44 original posts from the last 30 days against 167,473 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Thoughtworks sits below the 10th percentile of the 205,261 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 @thoughtworks have real engagement?
Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% 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 @thoughtworks post?
Most posts go out around 07:00 UTC, and Wednesday is its busiest day, at roughly 1.77 posts per day across the measured window.

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