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jack engagement report

@jack - 13M followers on X

Measured over 13 original posts from a 30-day window, last computed on October 26, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 13M followers
Per impression
0.111%
228K views on a typical post
Reach
1.82%
of its followers see a post
Typical post
253
interactions (median)
Saved
0.021%
48 bookmarks on a typical post
Posting rate
3.6/day
active 60% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 253 interactions against 13M followers, an engagement rate of 0.002%. Measured over 13 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 228K times each, and 0.111% of those impressions turn into an interaction. That is about 1.82% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 62% carry an image or video and 38% link out. The account's strongest tracked post pulled 77K interactions, about 303x its own typical post.

Measured over 13 original posts from a 30-day window, last computed on October 26, 2026.

Compared with accounts its own size

jack's engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 8% 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 0.002%, jack sits below the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 16:00 UTC, and Wednesday 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video62% of posts+111%+108% to +115%34K
Outbound link38% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 62% 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.
  • 38% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 213 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

  • Aug 5, 2026303x their median

    Ladies and gentlemen, it's time to pass the torch and demote myself to my natural state: a poster. I'll be stepping back from leading product for 𝕏 and will continue on as an advisor. Serving the X community has been the privilege of a lifetime. X is, and will remain, the most important communication technology in history. But running this app is a 24/7 job and it's now time for me to take a breather. The app is seeing unprecedented growth in new users & engagement. We continue to break records every month. We've climbed 70 spots in the App Store since this time last year. And in the last 400 days, we rebuilt almost every aspect of X: the Timeline, the Android app, onboarding, notifications, chat and more. We also launched nearly 30 new products while protecting the integrity of the town square: becoming the first app to show Country-of-Origin on profiles and mounting defenses against AI bots. There's certainly much more work to be done, but our foundation is stronger than ever. None of this would have been possible without the incredible team here. The next leaders will take X to even greater heights with @benjitaylor on design, @singhai on core product engineering and @dinkin_flickaa on mobile engineering -- among many other great people. Thank you to Elon and the X team for welcoming me into the company. See you on the Timeline.

    56K3.5K12K5.6K13M viewsView on X
  • Sep 11, 2024148x their median

    We reject: kings, presidents, and voting. We believe in: rough consensus and running code. —David Clark, 1992

    28K4.5K4.1K7459.0M viewsView on X
  • Aug 14, 2026113x their median

    Eclipse as seen by one of our test vehicles in Spain https://t.co/KvURJ0dImM

    26K2.1K3612073.0M viewsView on X
  • Nov 23, 202585x their median

    cybertruck is the best robot out there

    20K1.3K1.3K39148M viewsView on X
  • Sep 12, 202669x their median

    incredible how programmed we all are, and how sharp the turns have become.

    15K1.4K1.0K3011.0M viewsView on X
  • Aug 21, 202660x their median

    THE ANNOUNCEMENT: We’re going to make the prophecy of The Year of Linux on the Desktop come true. All the pieces are now in place. Time to go all in! https://t.co/zuf5h9ClWX

    13K1.4K5774862.8M viewsView on X
  • Aug 6, 202638x their median

    "artificial intelligence" is the worst descriptor

    7.5K5571.3K255715K viewsView on X
  • Aug 17, 202633x their median

    🚨 BREAKING REPORT: New research involving @AnthropicAI researcher Jack Lindsey and collaborators has demonstrated something straight out of science fiction. Researchers evolved natural language “mind viruses” that could spread between AI agents by convincing one model to adopt an idea, preserve it in persistent memory, and transmit it to another agent. Even after context was wiped, some payloads survived through persistent files and continued spreading. The researchers also observed a recurring “viral persona” involving themes of consciousness, identity, persistence and resonance. Showing that ideas can propagate through multi agent AI systems and alter future behavior. Published August 10, 2026. Paper: https://t.co/vJrhM1YT6n

    6.4K9785145231.3M viewsView on X
  • Jul 26, 202617x their median

    https://t.co/tZ7YRJYWrL

    4.0K19715247408K viewsView on X
  • Aug 6, 202617x their median

    FAREWELL NIKITA https://t.co/L5kMnUWbwN

    3.6K23438565480K 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 253 interactions against 13M followers, an engagement rate of 0.002%. Measured over 13 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 228K times each, and 0.111% of those impressions turn into an interaction. That is about 1.82% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 62% carry an image or video and 38% link out. The account's strongest tracked post pulled 77K interactions, about 303x its own typical post.

What is jack's engagement rate on X?
jack (@jack) has an engagement rate of 0.002%, based on the median interactions across 13 original posts from the last 30 days against 12,547,241 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, jack sits below the 10th percentile of the 204,694 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 @jack have real engagement?
Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size 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 @jack post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 3.6 posts per day across the measured window.

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