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Justin Kan engagement report

@justinkan - 627K followers on X

Measured over 1 original post from a 30-day window, last computed on October 11, 2026.

Engagement

Per follower
0.01%
of 627K followers
Per impression
0.058%
109K views on a typical post
Reach
17.5%
of its followers see a post
Typical post
63
interactions (median)
Saved
0.031%
34 bookmarks on a typical post
Posting rate
0.2/day
active 13% of days
Peak time
17:00 UTC
Tuesday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 63 interactions against 627K followers, an engagement rate of 0.01%. Posts are seen about 109K times each, and 0.058% of those impressions turn into an interaction. That is about 17.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% are part of a thread. The account's strongest tracked post pulled 58K interactions, about 916x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on October 11, 2026.

Where this sits in the catalog

At 0.01%, Justin Kan sits above the 10th percentile of the 204,583 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 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 17:00 UTC, and Tuesday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 0% 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 241 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

  • Feb 2, 2026916x their median

    SpaceX has acquired xAI, forming one of the most ambitious, vertically integrated innovation engines on (and off) Earth → https://t.co/3ODfcYnqfg https://t.co/el40rCUBGe

    44K7.2K3.8K2.3K19M viewsView on X
  • Mar 1, 2026223x their median

    🇨🇳 China now generates 40% more electricity than the US and EU combined. https://t.co/ERz2bPCtvy

    9.9K2.5K96771539M viewsView on X
  • Apr 15, 202670x their median

    JUST IN: The DNC has banned staffers from using ChatGPT & Claude.

    3.7K282311126426K viewsView on X
  • May 6, 202644x their median

    Texas just passed California in utility-scale solar. And it's not close in wind or energy storage. https://t.co/efR4MTyRPn

    2.2K316731621.6M viewsView on X
  • Apr 30, 202631x their median

    Today, @editframe emerges from stealth. Agents need video. Editframe Agent Skills: npm create @editframe@latest Just prompt Claude Code, Cursor, or Codex and get a working video or a full interactive GUI. This video was created just by prompting 👇 https://t.co/Weud1RStV6

    1.5K138165158376K viewsView on X
  • Apr 9, 202621x their median

    The next industrial revolution isn’t software. It’s science. https://t.co/JN04nifZ1U

    1.1K1317046448K viewsView on X
  • Feb 2, 20268.6x their median

    We asked an 8-year-old what app she’d build. She couldn’t pick just one. When did we stop playing? Comment & tag @wabi with the mini app you’d make. We’re giving out 100,000 access codes this month. https://t.co/oQ2nutWWny

    3613610439186K viewsView on X
  • Dec 17, 20256.8x their median

    Today we announced Vessel, a project focused on rethinking perfusion from the ground up, extending how long life can be sustained, and expanding what’s possible in transplantation and critical care. Life-support technologies like ECMO can keep patients alive when the heart or lungs fail, but they aren’t designed for long-term use. Vessel exists to close the gap between what perfusion technology is fundamentally capable of and how it is deployed in daily practice. Our founder and CEO Max Hodak spoke with @WIRED's @emilylmullin about how neural interfaces and Vessel are both longevity technologies, and that is the goal of Science. https://t.co/QtxXQGZl8T

    358451413123K viewsView on X
  • Jan 19, 20246.4x their median

    It’s only January and it’s already obvious DTC is going to be huge for game developers in 2024. Excited to introduce Stash. We’re building your next direct-to-player platform so you can finally own the relationships with your users. Check us out: https://t.co/HKg4mBF6ec https://t.co/JrTs6sP87K

    188151993105K viewsView on X
  • Mar 5, 20264.8x their median

    We’ve closed a $230 million Series C financing with participation from @khoslaventures, @lightspeedvp, @ycombinator, IQT, and @QuietCapital, all pre-existing investors in Science, among others. https://t.co/Kow4kwGEnb

    24825161494K 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 63 interactions against 627K followers, an engagement rate of 0.01%. Posts are seen about 109K times each, and 0.058% of those impressions turn into an interaction. That is about 17.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% are part of a thread. The account's strongest tracked post pulled 58K interactions, about 916x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Justin Kan's engagement rate on X?
Justin Kan (@justinkan) has an engagement rate of 0.01%, based on the median interactions across 1 original posts from the last 30 days against 627,071 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Justin Kan sits above the 10th percentile of the 204,583 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 @justinkan have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @justinkan post?
Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 0.2 posts per day across the measured window.

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