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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 55% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 77% 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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:
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.