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π–¦π—‹π—‚π—†π–Ύπ—Œ ⏳ engagement report

@Grimezsz - 1.5M followers on X

Measured over 17 original posts from a 30-day window, last computed on October 27, 2026.

Engagement

Top quarter for its size
Per follower
0.304%
of 1.5M followers
Per impression
2.80%
162K views on a typical post
Reach
10.9%
of its followers see a post
Typical post
4.5K
interactions (median)
Saved
0.122%
197 bookmarks on a typical post
Posting rate
1.13/day
active 43% of days
Peak time
00:00 UTC
Friday

A typical post picks up 4.5K interactions against 1.5M followers, an engagement rate of 0.304%. Measured over 17 original posts, its engagement rate beats 86% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 162K times each, and 2.80% of those impressions turn into an interaction. That is about 10.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 00:00 UTC, and Friday is the busiest day of the week. Of the 17 posts sampled, 47% carry an image or video, 6% are part of a thread and 18% link out. The account's strongest tracked post pulled 113K interactions, about 25x its own typical post.

Measured over 17 original posts from a 30-day window, last computed on October 27, 2026.

Compared with accounts its own size

π–¦π—‹π—‚π—†π–Ύπ—Œ ⏳'s engagement rate beats 86% of the tracked X accounts closest to it in follower count (21,185 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 76% 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 0.304%, π–¦π—‹π—‚π—†π–Ύπ—Œ ⏳ sits above the 50th percentile of the 212,146 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.694%.

p100.004%
p250.025%
p50 (median)0.146%
p750.694%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,146 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.694%
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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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 video47% of posts+111%+108% to +115%34K
Outbound link18% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 47% 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.
  • 18% 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 118 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 27, 202625x their median

    πŸ¦”AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they're free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain "all the books in the world." My Take This got to me. A bookseller told 404 Media that rare books with almost no surviving copies are being fed into this pipeline. Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email. ISBNdb's website literally says "'AI company destroys two million books' is not a headline that generates sympathy," and they still built an entire business around making it happen quietly. They offer NDAs as a feature. They coach clients to call it "digital preservation." I've covered AI companies scraping the internet, torrenting libraries, and stealing music. This is worse because it's irreversible. You can re-upload a website. You can reprint a bestseller. You can't replace the last three copies of an 18th-century botanical text once someone shreds them for training data. And the judge said it's legal. So it's going to accelerate. "We shred rare books and offer NDAs so nobody finds out" is a legitimate business model in 2026. What a timeline. HedgieπŸ€—

    73K29K4.1K7.9K24M viewsView on X
  • Jul 15, 20264.1x their median

    I have a friend I'm trying to hire who's basically unemployable and homeless however like, once u start knowing her you basically get roped into her life as if it's a tv show. Like, she causes insane amounts of property damage (one time she accidentally poisoned me) but her existence as living art is so enjoyable and also funny like she gets kicked out of everyone's house and then eventually ppl get sad and want her back so she basically circulates around like, I'm fairly certain this wud be a job in the medieval times but how does one employ someone like this ? I feel like I have an unusually large amount of unemployable but brilliant friends. Is there a healthier way for society to support these figures? It's like Socrates syndrome

    14K4741.9K7142.2M viewsView on X
  • Oct 22, 20263.2x their median

    BREAKING: JPMorgan Chase, Bank of America, Wells Fargo, and Morgan Stanley are scrambling after detecting unauthorized AI agents accessing customer bank accounts, contacting call centers, and reportedly attempting actions WITHOUT instructions from account holders, according to Axios.

    10K3.5K3863541.9M viewsView on X
  • Dec 21, 20253.0x their median

    You seek to build god yet deny his existence

    11K1.2K1.4K3481.9M viewsView on X
  • Oct 7, 20262.6x their median

    Album teaser on YouTube πŸͺ½ https://t.co/NKtJi3dxg0

    10K927374314220K viewsView on X
  • Jun 17, 20263.8x their median

    she’s completely right about this https://t.co/vmdXDcBlb4

    9.8K599195238991K viewsView on X
  • Jun 20, 20262.3x their median

    Every woman on earth should be demanding solutions for menopause - your heart, your bones, your connective tissue, beauty, mental health, intellect - And no one tells u about this Whoever invests in this now will be rich. Please God spare the millennials

    8.4K4527512085.5M viewsView on X
  • Jul 18, 20261.9x their median

    My worst behavior in Japan this trip was when my driver tried to point the direction I should walk I thought he was reaching for a hug and I embraced him and he didn't hug me back

    7.8K22544679351K viewsView on X
  • Jun 30, 20262.0x their median

    I’m so excited to share this update on @Conception – We’ve generated the first early human eggs derived from stem cells. This is a big deal -- the potential to redefine fertility is real. https://t.co/kTvjTUstSN

    6.5K8914305332.6M viewsView on X
  • Jun 14, 20262.1x their median

    Hindia and Grimes link up in new photo. https://t.co/FDvTNiZ51H

    7.3K537122328185K 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 4.5K interactions against 1.5M followers, an engagement rate of 0.304%. Measured over 17 original posts, its engagement rate beats 86% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 162K times each, and 2.80% of those impressions turn into an interaction. That is about 10.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 00:00 UTC, and Friday is the busiest day of the week. Of the 17 posts sampled, 47% carry an image or video, 6% are part of a thread and 18% link out. The account's strongest tracked post pulled 113K interactions, about 25x its own typical post.

What is π–¦π—‹π—‚π—†π–Ύπ—Œ ⏳'s engagement rate on X?
π–¦π—‹π—‚π—†π–Ύπ—Œ ⏳ (@Grimezsz) has an engagement rate of 0.304%, based on the median interactions across 17 original posts from the last 30 days against 1,488,270 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.304%, π–¦π—‹π—‚π—†π–Ύπ—Œ ⏳ sits above the 50th percentile of the 212,146 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 @Grimezsz have real engagement?
Its engagement rate beats 86% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the top 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 @Grimezsz post?
Most posts go out around 00:00 UTC, and Friday is its busiest day, at roughly 1.13 posts per day across the measured window.

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