MIT Media Lab engagement report
@medialab - 450K followers on X
Measured over 19 original posts from a 30-day window, last computed on August 29, 2026.
Engagement
A typical post picks up 33 interactions against 450K followers, an engagement rate of 0.007%. Measured over 19 original posts, its engagement rate beats 26% of 3,882 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 8.9K times each, and 0.371% of those impressions turn into an interaction. That is about 1.98% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 16% carry an image or video, 5% are part of a thread and 100% link out. The account's strongest tracked post pulled 407 interactions, about 12x its own typical post.
Measured over 19 original posts from a 30-day window, last computed on August 29, 2026. Recurring tag: #config2026.
Compared with accounts its own size
MIT Media Lab's engagement rate beats 26% of the tracked X accounts closest to it in follower count (3,882 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 27% 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 0.007%, MIT Media Lab sits above the 10th percentile of the 37,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.439% |
| 90th percentile | 2.10% |
| 99th percentile | 158.1% |
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 19:00 UTC, and Monday 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% | 52K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 55K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 43K |
| 06:00 UTC | -4% | 50K |
| 07:00 UTC | -5% | 54K |
| 08:00 UTC | -4% | 62K |
| 09:00 UTC | -3% | 72K |
| 10:00 UTC | -2% | 74K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 89K |
| 13:00 UTC | -2% | 98K |
| 14:00 UTC | -4% | 101K |
| 15:00 UTC | -2% | 104K |
| 16:00 UTC | -3% | 102K |
| 17:00 UTC | -3% | 94K |
| 18:00 UTC | -1% | 88K |
| 19:00 UTC | -2% | 83K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 68K |
| 22:00 UTC | -2% | 59K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 237K |
| Monday | 0% | 300K |
| Tuesday | -3% | 299K |
| Wednesday | -1% | 256K |
| Thursday | -1% | 249K |
| Friday | -3% | 258K |
| Saturday | +3% | 232K |
Best tweets
- Aug 18, 202612x their median
1/ How are people really using AI? Today, researchers across @MIT, @Stanford, + 12 academic institutions are launching the Public AI Observatory: public infrastructure for measuring how people actually use AI assistants in the wild. 🔗 https://t.co/KwGPEW810d 📜 https://t.co/8bjCGyHF43
- Aug 19, 20263.3x their median
MIT researchers have invented a new microscope that can image electrical activity in neurons distributed across the brain of an entire organism — in this case, the experimental model Danio rerio (zebrafish). Professor @eboyden3, the senior author of the study, holds a joint appointment in Media Arts and Sciences (the academic program at the Media Lab) and @mcgovernmit. The study was published in @naturemethods. https://t.co/IfOi3usrZc
- Aug 5, 20263.3x their median
What if the space stations of the future could build themselves? Media Lab alum @ariel_ekblaw, now CEO of @aurelia_labs, introduces TESSERAE (Tessellated Electromagnetic Space Structures for the Exploration of Reconfigurable Adaptive Environments), her vision for the space habitat infrastructure of the future. Learn more: https://t.co/gwy7GySJL4
- Aug 17, 20262.3x their median
Explore the 2026 MIT Summer Reading List, which includes work from former Media Lab staff member Sarah Beckmann, now an outreach and communications manager at @mitsap; Professor @kkarahal + alum J. Nathan Matias; and Professor @alexpentland! https://t.co/C6ZSiE2YC5
- Jul 2, 20262.0x their median
Researchers in the Media Lab’s @cdecoders group have developed a portable ultrasound system that generates high-resolution, 3D images of breast tissue. The system, which requires no expertise to operate, could enable earlier detection of breast cancer, and also allow for long-term monitoring following treatment — either in a doctor’s office or at home. https://t.co/tldvBRiboE
- Aug 3, 20261.8x their median
Explore the 2026 MIT Summer Reading List, which includes work from former Media Lab staff member Sarah Beckmann, now an outreach and communications manager at @mitsap; Professor @kkarahal + alum J. Nathan Matias; and Professor @alexpentland! https://t.co/C6ZSiE2YC5
- Jul 24, 20261.6x their median
In @Nature, a team of Media Lab researchers demonstrates that consumer-grade LiDAR — the same sensors that help iPhones autofocus, power depth on the Vision Pro, and guide robot vacuum cleaners across the living room floor — can also make it possible to see around corners. "The most exciting part of this work to me is that we took a capability that used to require a specialized $50,000 imaging setup and put it into the hands of people in robotics, AR/VR, and beyond," says lead researcher @sidartsoma, a PhD student in @cameraculture. “As LiDARs become more common, I think this could lead to entirely new forms of machine vision and spatial perception.” Read more: https://t.co/48BkC3AfdV
- Aug 7, 20261.5x their median
MIT researchers including Prof. @eboyden3, who holds a joint appointment in Media Arts and Sciences (the academic program at the Media Lab) and @mcgovernmit, have developed a technique called “implosion carving.” It allows researchers to imprint features throughout a hydrogel using photopatterning, and then shrink it to about 1/2,000 of its original volume, creating tiny 3D photonic devices with features small enough to channel visible light. The new work builds on “implosion fabrication,” which Prof. Boyden’s lab developed in 2018. https://t.co/3Gx4sKxuUj
- Aug 10, 2026
In a recent study, @anku__rani, @valdemardanry, Prof. @pliang279, Dr. Andrew Lippman, and Prof. Pattie Maes (@fluidinterfaces) show that although chatbots can help people detect misinformation, users who rely on AI systems to verify facts may become worse at spotting fake news on their own. However, the researchers also identified conversational strategies that encourage active learning and skill development, rather than simply helping in the moment. https://t.co/IpXfMznwWB
- Jun 16, 2026
The MIT Media Lab is celebrating four faculty promotions! @dagdevirencanan, @kesvelt, and @space_enabled have been granted tenure, and @fadeladib has been promoted to full professor. We look forward to their continued contributions for many years to come. https://t.co/dbCpDEQYAB https://t.co/Hk4GRGvK5J
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 33 interactions against 450K followers, an engagement rate of 0.007%. Measured over 19 original posts, its engagement rate beats 26% of 3,882 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 8.9K times each, and 0.371% of those impressions turn into an interaction. That is about 1.98% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 16% carry an image or video, 5% are part of a thread and 100% link out. The account's strongest tracked post pulled 407 interactions, about 12x its own typical post.
- What is MIT Media Lab's engagement rate on X?
- MIT Media Lab (@medialab) has an engagement rate of 0.007%, based on the median interactions across 19 original posts from the last 30 days against 450,403 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.007%, MIT Media Lab sits above the 10th percentile of the 37,582 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 @medialab have real engagement?
- Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (3,882 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 @medialab post?
- Most posts go out around 19:00 UTC, and Monday is its busiest day, at roughly 0.93 posts per day across the measured window.