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MIT CSAIL engagement report

@MIT_CSAIL - 350K followers on X

Measured over 23 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.063%
of 350K followers
Per impression
1.03%
21K views on a typical post
Reach
6.07%
of its followers see a post
Typical post
219
interactions (median)
Saved
0.553%
117 bookmarks on a typical post
Posting rate
1/day
active 73% of days
Peak time
16:00 UTC
Sunday

A typical post picks up 219 interactions against 350K followers, an engagement rate of 0.063%. Measured over 23 original posts, its engagement rate beats 56% of 6,493 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 21K times each, and 1.03% of those impressions turn into an interaction. That is about 6.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 16:00 UTC, and Sunday is the busiest day of the week. Of the 23 posts sampled, 96% carry an image or video and 48% link out. The account's strongest tracked post pulled 1.5K interactions, about 6.9x its own typical post.

Measured over 23 original posts from a 30-day window, last computed on September 2, 2026. Recurring tag: #otd.

Compared with accounts its own size

MIT CSAIL's engagement rate beats 56% of the tracked X accounts closest to it in follower count (6,493 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 49% 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 0.063%, MIT CSAIL sits above the 25th percentile of the 65,864 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.1%
Engagement rate as a share of followers, across the 65,864 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,191 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.1%

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 16:00 UTC, and Sunday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video96% of posts+111%+108% to +115%34K
Outbound link48% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 96% 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.
  • 48% 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 162 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

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

  • Jul 11, 20266.9x their median

    A free guide that answers key reinforcement learning questions: https://t.co/CY91nDnOkb v/@arjunkocher & @sheriyuo https://t.co/D1Mix4PrKQ

    1.3K16319591K viewsView on X
  • Jul 12, 20265.8x their median

    "The first step of any project is to grossly underestimate its complexity and difficulty." — Nicoll Hunt

    1.1K171191759K viewsView on X
  • Jul 19, 20264.3x their median

    A free guide to competitive programming: https://t.co/pHuR0IRTj0 https://t.co/MJ8lAbgAZI

    79813614132K viewsView on X
  • Aug 16, 20263.7x their median

    An overview of the fundamentals of neural networks. v/@tut_ml https://t.co/5QbZBM7h98

    6501358727K viewsView on X
  • Aug 8, 20263.6x their median

    A free MIT guide to the mathematical foundations of computer science: https://t.co/FloOU8RxJT v/@swapnakpanda https://t.co/yCtPVmAhLq

    67011010425K viewsView on X
  • Aug 15, 20263.2x their median

    All major neural networks, in one chart. v/The Asimov Institute https://t.co/rDw7TyEcFC

    5801037525K viewsView on X
  • Aug 28, 20262.9x their median

    A breakdown of the simplest neural network from the late MIT Prof. Patrick Winston during his 6.034 (Artificial Intelligence) course. Clip v/@7etsuo & @MITOCW https://t.co/KDUPLKy4Cz

    550825848K viewsView on X
  • Aug 27, 20262.8x their median

    Just a few bookshelf essentials. https://t.co/bkGz3eE2eu

    5475510627K viewsView on X
  • Jul 26, 20262.6x their median

    This repository on ML operations has free talks, books, papers and more: https://t.co/CX7l01eoiQ Developed by @visenger https://t.co/GOGmBfZCwm

    473945122K viewsView on X
  • Aug 19, 20262.5x their median

    New MIT paper finds that you can can delete an artist from an AI model's training data & nothing changes. CSAIL engineers also observed that it's hard to trace AI-generated images to specific data. Their work raises new questions about AI copyright: https://t.co/FvvWJpXMHO https://t.co/Fg94JqaJLX

    420612938177K 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.

Recurring topics

#otd

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 219 interactions against 350K followers, an engagement rate of 0.063%. Measured over 23 original posts, its engagement rate beats 56% of 6,493 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 21K times each, and 1.03% of those impressions turn into an interaction. That is about 6.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 16:00 UTC, and Sunday is the busiest day of the week. Of the 23 posts sampled, 96% carry an image or video and 48% link out. The account's strongest tracked post pulled 1.5K interactions, about 6.9x its own typical post.

What is MIT CSAIL's engagement rate on X?
MIT CSAIL (@MIT_CSAIL) has an engagement rate of 0.063%, based on the median interactions across 23 original posts from the last 30 days against 349,699 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.063%, MIT CSAIL sits above the 25th percentile of the 65,864 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_CSAIL have real engagement?
Its engagement rate beats 56% of the tracked X accounts closest to it in follower count (6,493 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 @MIT_CSAIL post?
Most posts go out around 16:00 UTC, and Sunday is its busiest day, at roughly 1 posts per day across the measured window.

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