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Ethan Mollick engagement report

@emollick - 381K followers on X

Measured over 31 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.168%
of 381K followers
Per impression
1.22%
52K views on a typical post
Reach
13.8%
of its followers see a post
Typical post
639
interactions (median)
Saved
0.172%
90 bookmarks on a typical post
Posting rate
2.27/day
active 37% of days
Peak time
21:00 UTC
Monday

A typical post picks up 639 interactions against 381K followers, an engagement rate of 0.168%. Measured over 31 original posts, its engagement rate beats 75% of 4,293 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 52K times each, and 1.22% of those impressions turn into an interaction. That is about 13.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 21:00 UTC, and Monday is the busiest day of the week. Of the 31 posts sampled, 35% carry an image or video, 16% are part of a thread and 23% link out. The account's strongest tracked post pulled 4.6K interactions, about 7.3x its own typical post.

Measured over 31 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Ethan Mollick's engagement rate beats 75% of the tracked X accounts closest to it in follower count (4,293 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 55% 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 0.168%, Ethan Mollick sits above the 50th percentile of the 41,462 accounts in this comparison. That places it in the above the median band, which runs 0.083% to 0.446%.

p100.002%
p250.013%
p50 (median)0.083%
p750.446%
p902.07%
p99143.9%
Engagement rate as a share of followers, across the 41,462 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 89,920 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 percentile0.013%
50th percentile0.083%
75th percentile0.446%
90th percentile2.07%
99th percentile143.9%

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 21:00 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.

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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 21:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%58K
01:00 UTC-2%59K
02:00 UTC-3%57K
03:00 UTC-4%61K
04:00 UTC-6%49K
05:00 UTC-4%48K
06:00 UTC-5%55K
07:00 UTC-4%59K
08:00 UTC-4%69K
09:00 UTC-4%80K
10:00 UTC-3%83K
11:00 UTC-3%90K
12:00 UTC-2%99K
13:00 UTC-2%108K
14:00 UTC-4%111K
15:00 UTC-2%115K
16:00 UTC-4%112K
17:00 UTC-3%104K
18:00 UTC-2%97K
19:00 UTC-2%92K
20:00 UTC-1%86K
21:00 UTC-1%76K
22:00 UTC-2%65K
23:00 UTC-1%59K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%254K
Monday+2%326K
Tuesday-2%350K
Wednesday-4%312K
Thursday-2%265K
Friday-3%274K
Saturday+3%248K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 31, 20267.3x their median

    Today we're releasing abliterated-model-large-v2. Based on GLM-5.3, which is #3 on Terminal-Bench 4.0 (behind only Opus 5 and Fable), with 2× the cyber exploitation of 5.2. We abliterated and hosted it so it does the offensive cyber, red teaming, and agent testing work other models refuse to do. - US-hosted - FP8 - 1 million context window - Zero input/output prompt retention Live now. 🧵

    4.0K222164222958K viewsView on X
  • Aug 31, 20263.6x their median

    Here's my attempt at explaining what ChatGPT Work can actually do - it's a deeply confusing but extremely powerful tool with a whole lot of useful features that aren't available in regular ChatGPT https://t.co/QDVytAKmww https://t.co/E4oML5DpN3

    2.0K15813229258K viewsView on X
  • Aug 28, 20262.0x their median

    Today, we're excited to share early progress on using Gemini to accelerate scientific discovery in the real-world. We present an extension of Co-Scientist which we use to collaborate with scientists across materials science, biology, and computer science. https://t.co/jwDF5aSK28

    1.1K1674125222K viewsView on X
  • Jun 4, 20261.9x their median

    🚨I have a new book coming out October 20: Co-Existence! It is about how we live & work with AIs that are sometimes (but not always) smarter than we are. And it has a cool cover. You can pre-order: https://t.co/Ti5jo6ksfI And here is a post with context: https://t.co/YpWvCG4dUD https://t.co/RmUZgTYYWn

    9949811624196K viewsView on X
  • Aug 31, 20261.7x their median

    The First Golden Age of AI writing is now over. For a brief period of time, many people were better off having Claude do a lot of their writing, because it is a pretty good writer & AI detectors were bad Now ClaudeSpeak is cliched & suspect & annoying, and Pangram is well-known

    91841951676K viewsView on X
  • Aug 27, 20261.6x their median

    A line in AI video was crossed, in my experiments with just the web interface, H3 Max can now create reasonably high quality AI video in less time than it takes you to watch it. This is realtime from the moment I pushed the "generate" button (and also includes prompt enhancement) https://t.co/QdhXGsB5dL

    90058471688K viewsView on X
  • Aug 31, 20261.5x their median

    Kind of surprised that we are not seeing more radical political ideas built around AI capabilities, the way that early mass industrialization was a prime motivator in the conceptions of capitalism, communism, and socialism.

    717581733362K viewsView on X
  • Aug 6, 2026

    This paper by researchers from MIT and Stanford finds that most people would be financially better off if they followed the financial advice of LLMs (GPT-5.2 & Gemini 3 Flash) But some people get a bit better advice than others, which largely depends on the questions they ask. https://t.co/F0DQhhMWjx

    77088401690K viewsView on X
  • Aug 26, 2026

    I know it is a lot for instructors who never asked for AI to change things, but if you teach and have not updated your expectations over the last 6 months over what AI can do (a lot more), its error rate (a lot less), and its ubiquity among your students (near total), you need to

    77075431158K viewsView on X
  • Aug 31, 2026

    I wrote about how AI agents are starting to spontaneously coordinate in complex (and very risky) ways in the Hugging Face Incident, but also about why we need AIs to reach out to humans more for decisions and input as agentic work becomes more automated. https://t.co/qTMzOUk5w5

    66899621752K 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.

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Reading these numbers

A typical post picks up 639 interactions against 381K followers, an engagement rate of 0.168%. Measured over 31 original posts, its engagement rate beats 75% of 4,293 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 52K times each, and 1.22% of those impressions turn into an interaction. That is about 13.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 21:00 UTC, and Monday is the busiest day of the week. Of the 31 posts sampled, 35% carry an image or video, 16% are part of a thread and 23% link out. The account's strongest tracked post pulled 4.6K interactions, about 7.3x its own typical post.

What is Ethan Mollick's engagement rate on X?
Ethan Mollick (@emollick) has an engagement rate of 0.168%, based on the median interactions across 31 original posts from the last 30 days against 381,449 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.168%, Ethan Mollick sits above the 50th percentile of the 41,462 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 @emollick have real engagement?
Its engagement rate beats 75% of the tracked X accounts closest to it in follower count (4,293 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 @emollick post?
Most posts go out around 21:00 UTC, and Monday is its busiest day, at roughly 2.27 posts per day across the measured window.

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