MATLAB engagement report
@MATLAB - 106K followers on X
Measured over 19 original posts from a 30-day window, last computed on October 13, 2026.
Engagement
A typical post picks up 118 interactions against 106K followers, an engagement rate of 0.111%. Measured over 19 original posts, its engagement rate beats 53% 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 4.4K times each, and 2.71% of those impressions turn into an interaction. That is about 4.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 19 posts sampled, 100% carry an image or video, 11% are part of a thread and 68% link out. The account's strongest tracked post pulled 4.2K interactions, about 36x its own typical post.
Measured over 19 original posts from a 30-day window, last computed on October 13, 2026. Recurring tag: #worldspaceweek.
Compared with accounts its own size
MATLAB's engagement rate beats 53% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 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 70% 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 0.111%, MATLAB sits above the 25th percentile of the 205,261 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
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 10:00 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.
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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 68% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 100% 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.
- 68% 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
- May 5, 202636x their median
Introducing the MATLAB Agentic Toolkit Get started š https://t.co/efiOXdSM6z https://t.co/TG8KhQczP8
- Sep 5, 20263.8x their median
What does it take to balance a ball in real time? š An LQR controller, inverse kinematics, and stepper-driven linkages working together in MATLAB. Made with MATLAB Agentic Toolkit. Can you spot where each system comes into play? https://t.co/8QV1novzEQ
- Sep 19, 20263.7x their median
š¤ Why does a PID controller need all 3 gains? Build a PID controller from scratch in MATLAB & Simulink and see what happens as each term is added: ā P: faster response ā I: eliminates steady-state error ā D: improves speed & robustness Watch: https://t.co/12IJt9diIx https://t.co/8Tdl6zxbDA
- Sep 13, 20263.6x their median
Pendulum simulations with MATLAB and Blender š With control restraints and AI, MATLAB Community blogger Ned Gulley was able to create a realistic pendulum visualization. Read more: https://t.co/oYbg7ZCf71 https://t.co/DmWWspNqzg
- Sep 6, 20262.5x their median
Just got assigned MATLAB for class? We pulled together a guide with free training, a simple first-week plan, tips for getting unstuck, and resources for your field of study. Start here: https://t.co/XRNokrYOAn https://t.co/9L8vpBiVqr
- Sep 8, 20262.3x their median
Using agentic AI and MATLAB to model aerodynamics š The active car adjusts its own ride height, 20 times a second, holding the floor exactly where the aerodynamics want it. Passive car: loses 70% of its downforce at 335 km/h. Active car: loses 8%. https://t.co/yJqAOKKVfe
- Aug 26, 20261.8x their median
Install, update, or remove Python packages directly from MATLAB using the External Languages panel. MATLAB manages packages in your selected Python environment, so the libraries you install are available to other tools that use the same environment. š https://t.co/ZOmmYWU9Ez https://t.co/qafh5OBeTC
- Aug 11, 20261.7x their median
A double pendulum riding a Spring Atwood machine š Just a few extra terms in the Lagrangian take the motion from periodic to chaotic. AI agents + MATLAB sped up the workflow: derive, solve, animate, iterate. https://t.co/Csw3ZZEFZi
- Sep 17, 20261.7x their median
Build virtual vehicles. Test performance. Explore system-level behavior. Get hands-on with vehicle simulation in Simulink and learn how engineers evaluate designs before building physical prototypes. Enroll on @Coursera ā© https://t.co/cX0deO4e3x https://t.co/DoJ51JU9Y7
- Oct 9, 20261.6x their median
How do you verify satellite coverage along a flight path? This analysis shows an aircraft maintaining line-of-sight access to at least one satellite throughout its journey up the U.S. East Coast. Built with Aerospace Toolbox in MATLAB R2026b. #WorldSpaceWeek https://t.co/vESHPnSYZL
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
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 118 interactions against 106K followers, an engagement rate of 0.111%. Measured over 19 original posts, its engagement rate beats 53% 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 4.4K times each, and 2.71% of those impressions turn into an interaction. That is about 4.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 19 posts sampled, 100% carry an image or video, 11% are part of a thread and 68% link out. The account's strongest tracked post pulled 4.2K interactions, about 36x its own typical post.
- What is MATLAB's engagement rate on X?
- MATLAB (@MATLAB) has an engagement rate of 0.111%, based on the median interactions across 19 original posts from the last 30 days against 105,967 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.111%, MATLAB sits above the 25th 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 @MATLAB have real engagement?
- Its engagement rate beats 53% 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 @MATLAB post?
- Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 0.73 posts per day across the measured window.