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Moon_hive engagement report

@Moon_u_know - 121K followers on X

Measured over 9 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Middle of its size range
Per follower
0.042%
of 121K followers
Per impression
0.738%
6.9K views on a typical post
Reach
5.67%
of its followers see a post
Typical post
51
interactions (median)
Saved
0.015%
1 bookmarks on a typical post
Posting rate
1.17/day
active 37% of days
Peak time
08:00 UTC
Monday

A typical post picks up 51 interactions against 121K followers, an engagement rate of 0.042%. Measured over 9 original posts, its engagement rate beats 39% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 6.9K times each, and 0.738% of those impressions turn into an interaction. That is about 5.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 56% carry an image or video and 56% link out. The account's strongest tracked post pulled 461K interactions, about 9034x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 5, 2026.

Compared with accounts its own size

Moon_hive's engagement rate beats 39% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 34% 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 0.042%, Moon_hive sits above the 25th percentile of the 205,782 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,782 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.679%
90th percentile2.56%
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 08:00 UTC, and Monday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video56% of posts+111%+108% to +115%34K
Outbound link56% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 56% 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.
  • 56% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 464 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 19, 20269034x their median

    In the future, a trillion times a trillion dollars will be spent on making antimatter to travel to other star systems

    398K30K28K4.6K54M viewsView on X
  • Mar 20, 20264957x their median

    So many phonies, so few who are the real deal

    213K20K17K2.6K79M viewsView on X
  • May 22, 2026571x their median

    what problem do you most hope AI will solve in the future? maybe we can help!

    13K70415K1.2K3.8M viewsView on X
  • Apr 22, 202627x their median

    Justin Sun’s recent lawsuit against @worldlibertyfi is a desperate attempt to deflect attention from Sun’s own misconduct.  His claims are entirely meritless, and World Liberty looks forward to getting the case thrown out promptly. He engaged in misconduct that required World Liberty to take action to protect itself and its users.  World Liberty will continue to take all necessary steps to protect its community.

    5637267249871K viewsView on X
  • Oct 2, 202625x their median

    goverment is about to register https://t.co/tDzMWzh78K? https://t.co/ZEcHpMHYWL https://t.co/efp9BSIFVP

    89817115948107K viewsView on X
  • May 8, 20268.1x their median

    Just bought my very first Chinese ticker on TON

    2552310528116K viewsView on X
  • Apr 28, 20265.1x their median

    Meet IBM Bob. 👋 Now generally available, Bob is an agentic SDLC partner designed to move teams from isolated AI tools to coordinated delivery. Dive deeper into what’s possible with IBM Bob: https://t.co/BJvqDolvdW https://t.co/gAgNRCiZmE

    145394430248K viewsView on X
  • Feb 7, 20263.0x their median

    The identity crisis is here👁️ We don't just need more "data". We need a TrustNet. Let's put the 'Human' back in the digital economy🧡 https://t.co/AUNQNrWGfQ

    80195025.0K viewsView on X
  • May 8, 20262.3x their median

    George EMO😭 这是我加入Web3以来最难受的一天,过去我是看着我开发者社区的人一个一个的离开,他们和我说出公司倒闭时的无奈,一字一句都像针扎心一样的疼。 今天收到更大的噩耗😭,基金会真要解散,大部分人不会并入TG。 https://t.co/3d3B3Uu8iY

    5805618.5K viewsView on X
  • Sep 26, 20261.8x their median

    Introducing Truman World Residents🌍 Previously, you could influence Truman's world. Now, you can become part of it. We're officially opening resident registration in Truman World! Anyone can now mint their own unique AI Character on @BNBCHAIN using ERC-8004, an open standard for AI agent identity and reputation. And the mint is free Each AI Character is designed to become an autonomous agent that builds memories, develops behavioral patterns, and forms relationships with other residents over time And of course, your AI Character may even appear in the livestream when Truman crosses paths with them! This is our latest experiment in building an interactive world model — a world where you don't just watch the story unfold, but become part of it Come be my neighbor https://t.co/wH6bjlKgvm

    561121513K 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 51 interactions against 121K followers, an engagement rate of 0.042%. Measured over 9 original posts, its engagement rate beats 39% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 6.9K times each, and 0.738% of those impressions turn into an interaction. That is about 5.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 56% carry an image or video and 56% link out. The account's strongest tracked post pulled 461K interactions, about 9034x its own typical post.

What is Moon_hive's engagement rate on X?
Moon_hive (@Moon_u_know) has an engagement rate of 0.042%, based on the median interactions across 9 original posts from the last 30 days against 121,349 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.042%, Moon_hive sits above the 25th percentile of the 205,782 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 @Moon_u_know have real engagement?
Its engagement rate beats 39% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @Moon_u_know post?
Most posts go out around 08:00 UTC, and Monday is its busiest day, at roughly 1.17 posts per day across the measured window.

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