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Danielle Morrill engagement report

@DanielleMorrill - 296K followers on X

Measured over 23 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Bottom quarter for its size
Per follower
0.01%
of 296K followers
Per impression
0.475%
6.1K views on a typical post
Reach
2.06%
of its followers see a post
Typical post
29
interactions (median)
Saved
0.049%
3 bookmarks on a typical post
Posting rate
2.3/day
active 33% of days
Peak time
13:00 UTC
Friday

A typical post picks up 29 interactions against 296K followers, an engagement rate of 0.01%. Measured over 23 original posts, its engagement rate beats 23% of 21,185 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 6.1K times each, and 0.475% of those impressions turn into an interaction. That is about 2.06% 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 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 23 posts sampled, 26% carry an image or video, 22% are part of a thread and 17% link out. The account's strongest tracked post pulled 97K interactions, about 3340x its own typical post.

Measured over 23 original posts from a 30-day window, last computed on October 24, 2026.

Compared with accounts its own size

Danielle Morrill's engagement rate beats 23% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 9 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 25% 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 0.01%, Danielle Morrill sits above the 10th percentile of the 212,349 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,349 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,452 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 percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile83.1%

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 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.

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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video26% of posts+111%+108% to +115%34K
Outbound link17% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 26% 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.
  • 17% 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 202 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

  • Sep 7, 20263340x their median

    YOU CAN SEE EVERYTHING, a documentary by Nathan Fielder and Lance Oppenheim. Featuring Elizabeth Holmes. Only in theaters this October. https://t.co/b3Pcx0Se2o

    80K6.1K1.6K8.7K61M viewsView on X
  • Oct 23, 202636x their median

    Announcing Dagger 1.0 beta. Replace Jenkins and GitHub Actions with CI that matches the speed and scale of coding agents without wasting compute or tokens. Featuring: test-native CI, dev shells, local and remote execution, official modules, and more. https://t.co/HgVwTUAJi3 https://t.co/PZ5lkPYJDU

    875844836165K viewsView on X
  • Oct 13, 202633x their median

    Colorado sellers are cracking before our eyes. 1st in the country on % of sellers willing to accept less money than what they paid for their home (11.8% vs. 6.5% nationally) 2nd in the country on % of sellers price cutting (51.9% of all homes for sale cutting prices vs. 43.3% nationally) Cuts are deepest they have been all year at 7.2% Sellers are cutting 2 weeks faster than they were at the beginning of the year (every 31 days) Supply w/in 4% of all time annual highs Let's dig in.

    7791005226284K viewsView on X
  • Oct 19, 202626x their median

    You're in a tech interview. The interviewer asks: "Why should we hire you when Claude Code can already write code?" What's your answer?

    349123722093K viewsView on X
  • Sep 13, 202626x their median

    Standing in very long lines is the gen-z equivalent of going to the mall. It’s a third space. Everywhere has been so commercialized, there’s nowhere to hang out for free, so people are hanging out in line. The line is the only place left where it’s socially acceptable to loiter.

    66129431749K viewsView on X
  • Oct 18, 202623x their median

    in 2024, one our early investors came to Mercor’s office and sat down with all of our employees. he warned the entire team about why we should avoid the data market. our thesis was deeply contrarian at the time. VC advice is almost always market consensus, which erodes any alpha from being contrarian. if we’d taken the advice, we would have foregone tens of billions of dollars in value.

    59422351079K viewsView on X
  • Sep 9, 20269.3x their median

    the vast majority of us will die from cardiovascular disease or cancer, not AI and not even a world war fomented by “AI” go outside Internet people, hug someone, eat a peach

    2051742711K viewsView on X
  • Sep 12, 20264.4x their median

    my spidey sense says use all these massively subsidized tokens while you can or get ye some open source local boxes

    10641629.7K viewsView on X
  • Oct 22, 20264.0x their median

    marry a nerd and you’ll never be bored a day in your life this Moog modular synthesizer is @MisterMorrill’s latest gear acquisition and it’s likely he’ll figure out how to hook it up to an LLM by later tonight https://t.co/1lm2dvZGvt

    9431906.1K viewsView on X
  • Sep 3, 20263.8x their median

    don’t let this place fool you into thinking we aren’t the luckiest people in the world that we get to make things for other people who actually use the things we make if you made something today, thank you. if you used something (or bought!) someone made, thank you

    94214117K 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 29 interactions against 296K followers, an engagement rate of 0.01%. Measured over 23 original posts, its engagement rate beats 23% of 21,185 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 6.1K times each, and 0.475% of those impressions turn into an interaction. That is about 2.06% 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 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 23 posts sampled, 26% carry an image or video, 22% are part of a thread and 17% link out. The account's strongest tracked post pulled 97K interactions, about 3340x its own typical post.

What is Danielle Morrill's engagement rate on X?
Danielle Morrill (@DanielleMorrill) has an engagement rate of 0.01%, based on the median interactions across 23 original posts from the last 30 days against 296,023 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Danielle Morrill sits above the 10th percentile of the 212,349 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 @DanielleMorrill have real engagement?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (21,185 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 @DanielleMorrill post?
Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 2.3 posts per day across the measured window.

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