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Grey engagement report

@grey_agenticAI - 186K followers on X

Measured over 56 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 186K followers
Per impression
0%
901 views on a typical post
Reach
0.48%
of its followers see a post
Typical post
0
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.07/day
active 37% of days
Peak time
15:00 UTC
Tuesday

A typical post picks up 0 interactions against 186K followers, an engagement rate of 0%. Measured over 56 original posts, its engagement rate beats 0% 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 901 times each, and 0% of those impressions turn into an interaction. That is about 0.485% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 56 posts sampled, 9% link out. The account's strongest tracked post pulled 1.5K interactions. Recurring topics include #ai, #crypto, #founder.

Measured over 56 original posts from a 30-day window, last computed on October 13, 2026. Recurring tags: #ai, #crypto, #founder.

Compared with accounts its own size

Grey's engagement rate beats 0% of the tracked X accounts closest to it in follower count (20,444 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 0% 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%, Grey sits below the 10th percentile of the 204,880 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 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 percentile0.678%
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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video0% of posts+111%+108% to +115%34K
Outbound link9% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 0% 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.
  • 9% 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 340 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Jun 28, 2026

    https://t.co/7CKc4ZJO4q

    1.3K16642192.7M viewsView on X
  • Oct 4, 2026

    AI agents becoming customers sounds like a payment story. If I were building a business around it, I'd start somewhere else: who gets to choose the supplier, and can I still make money after that choice? Two very different markets are forming. ๐Ÿงต #AI #Crypto

    84101.6K viewsView on X
  • Oct 3, 2026

    AI can make avoiding a customer conversation surprisingly productive ๐Ÿ˜‚ Another feature. Another landing page. Another competitor report. As a non-technical founder, I have to watch that temptation. The build is finally easy enough to hide in. #AI

    84101.4K viewsView on X
  • Mar 12, 2026

    You've been asking. "What is OpenClaw?" Let me explain it the way nobody explained AI to me. No jargon. No pitch. Just what it actually is ๐Ÿงต https://t.co/3NHO7G6Cwg

    1070468 viewsView on X
  • Mar 6, 2026

    I used to pay $3,500/month in freelancers. Now I pay $20. Same output. More done. Nobody waits on anyone. Here's how that happened ๐Ÿงต https://t.co/bDdMo8V9Zn

    1070319 viewsView on X
  • Mar 4, 2026

    I'm a non-tech founder. No degree. No GitHub. Can't tell a function from a class. I now run an AI team that works while I sleep. Here's what nobody tells you about building with AI when you don't code ๐Ÿงต https://t.co/XzQjj5VYCY

    0070397 viewsView on X
  • Feb 28, 2026

    ๐Ÿ—๏ธ [BEHIND-THE-SCENES โ€” Rewrite, 100% real] I'm a non-tech founder. I can't code. I don't understand servers. I used to manage a team of 4โ€“5 people just for marketing. Then I built an AI team that replaced all of them. Here's how it actually happened ๐Ÿงต

    1050402 viewsView on X
  • Feb 24, 2026

    Artificial AI will change the landscape of traditional business. Most traditional business owners think AI = ChatGPT. They're 2 years behind. Here's what's actually happening ๐Ÿงต #NonTech #AgenticAI #Founder #AIRevolution #FutureOfWork https://t.co/wCncHVbPFa

    0060400 viewsView on X
  • Oct 11, 2026

    The most expensive AI model can be the wrong hire for your business. Coinbase's fraud-model results this week make that worth discussing. Here's how I'd choose: which mistakes cost money, what the benchmark misses, and when a smaller model makes sense ๐Ÿ‘‡ #AI #Crypto

    2020495 viewsView on X
  • Oct 11, 2026

    The Ledger / CryptoBilis story raises an uncomfortable founder question: If a customer follows your recommended buying route, how much responsibility stays with you? My weekend article looks at what self-custody still depends on ๐Ÿ‘‡ #Crypto #Business https://t.co/DjvRzqLeY8

    2010593 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.

Recurring topics

#ai#crypto#founder#business#lookout

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 0 interactions against 186K followers, an engagement rate of 0%. Measured over 56 original posts, its engagement rate beats 0% 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 901 times each, and 0% of those impressions turn into an interaction. That is about 0.485% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 56 posts sampled, 9% link out. The account's strongest tracked post pulled 1.5K interactions. Recurring topics include #ai, #crypto, #founder.

What is Grey's engagement rate on X?
Grey (@grey_agenticAI) has an engagement rate of 0%, based on the median interactions across 56 original posts from the last 30 days against 185,632 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0%, Grey sits below the 10th percentile of the 204,880 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 @grey_agenticAI have real engagement?
Its engagement rate beats 0% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% 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 @grey_agenticAI post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 2.07 posts per day across the measured window.

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