Massachusetts Institute of Technology (MIT) engagement report
@MIT - 1.4M followers on X
Measured over 15 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 175 interactions against 1.4M followers, an engagement rate of 0.013%. Posts are seen about 17K times each, and 1.01% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 15 posts sampled, 100% link out. The account's strongest tracked post pulled 4.7K interactions, about 25x its own typical post.
Measured over 15 original posts from a 30-day window, last computed on October 25, 2026.
Where this sits in the catalog
At 0.013%, Massachusetts Institute of Technology (MIT) sits above the 10th percentile of the 204,424 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 | 0.677% |
| 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 13:00 UTC, and Friday 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 | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 0% 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.
- 100% 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 246 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
- Jun 20, 202625x their median
The Tartan Army made their mark on campus before leaving Massachusetts. Thanks for the visit and the reminder that you stopped by MIT. We hope you enjoyed your time in Cambridge! https://t.co/fd1zRSFWhr
- Sep 24, 202615x their median
Did you know the original Claude — the chatbot’s namesake, according to Anthropic lore — was a renowned MIT professor? Claude Shannon SM ’40, PhD ’40, who taught at MIT from 1956 until his retirement in 1978, was known to many as the father of information theory and of modern digital communications.
- Oct 21, 20265.5x their median
MIT announces the MIT for America initiative. The effort aims to help U.S. learners from kindergarten to community college, with an emphasis on math, making, and the constructive use of AI. https://t.co/AN1wVtHuIb
- Sep 12, 20264.1x their median
In remembrance of the September 11 attacks, 25 years later. https://t.co/jC56RwjXci
- Aug 24, 20263.4x their median
MIT researchers have engineered bacteria that can function as transistors, allowing them to create “living circuit boards” like those in the image. https://t.co/zQUXBesJTx
- Sep 22, 20263.2x their median
A new study from MIT researchers could help to enable next-generation lidar sensors that are compact, durable, and have no moving parts. The key advance is a novel design for a silicon-photonics chip, which is a semiconductor device that manipulates light rather than electricity. https://t.co/QqZzOzKysS
- Oct 14, 20262.8x their median
MIT engineers have developed a new way to program natural killer (NK) immune cells to target cancerous T cells or T cells that have become autoreactive, leading to diseases such as lymphoma and autoimmune hepatitis. https://t.co/ZCuPxA1OFT
- Oct 12, 20262.4x their median
Economists Robert E. Hall PhD ’67 and Michael Woodford PhD ’83 share Nobel prize: The MIT alumni are honored for work that illuminates how government policy can spur growth in response to economic downturns. https://t.co/QLF6cP7cAj
- Aug 18, 20262.4x their median
MIT researchers discovered a paradoxical phenomenon in optical physics that could enable a new bioimaging method that’s faster and higher-resolution than existing technology. https://t.co/28yIRObdHK
- Aug 31, 20262.4x their median
A former MIT class project is becoming an $850 million effort to manufacture a new kind of aircraft in Ohio. https://t.co/odgedKUxhZ
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 175 interactions against 1.4M followers, an engagement rate of 0.013%. Posts are seen about 17K times each, and 1.01% of those impressions turn into an interaction. That is about 1.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 15 posts sampled, 100% link out. The account's strongest tracked post pulled 4.7K interactions, about 25x its own typical post.
- What is Massachusetts Institute of Technology (MIT)'s engagement rate on X?
- Massachusetts Institute of Technology (MIT) (@MIT) has an engagement rate of 0.013%, based on the median interactions across 15 original posts from the last 30 days against 1,378,988 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.013%, Massachusetts Institute of Technology (MIT) sits above 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 @MIT have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @MIT post?
- Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 0.57 posts per day across the measured window.