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比特币老肥.btc(敏感肥) engagement report

@laofeiyyds - 271K followers on X

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

Engagement

Middle of its size range
Per follower
0.035%
of 271K followers
Per impression
0.875%
11K views on a typical post
Reach
3.96%
of its followers see a post
Typical post
94
interactions (median)
Saved
0.009%
1 bookmarks on a typical post
Posting rate
1.5/day
active 53% of days
Peak time
03:00 UTC
Tuesday

A typical post picks up 94 interactions against 271K followers, an engagement rate of 0.035%. Measured over 24 original posts, its engagement rate beats 43% of 15,519 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 11K times each, and 0.875% of those impressions turn into an interaction. That is about 3.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 03:00 UTC, and Tuesday is the busiest day of the week. Of the 24 posts sampled, 83% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 191 interactions, about 2.0x its own typical post. Recurring topics include #okx百万规划师, #牛来, #龙虾.

Measured over 24 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #okx百万规划师, #牛来, #龙虾.

Compared with accounts its own size

比特币老肥.btc(敏感肥)'s engagement rate beats 43% of the tracked X accounts closest to it in follower count (15,519 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 42% 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 0.035%, 比特币老肥.btc(敏感肥) sits above the 25th percentile of the 157,374 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,055 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 03:00 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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 video83% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 83% 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 63 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • Aug 13, 20262.0x their median

    记住凡是让你开多 $GIGGLE 的都是坏逼 https://t.co/N1dGdPyilW

    281162010K viewsView on X
  • Sep 12, 20261.9x their median

    龙虾为啥涨啊,什么原因谁能告诉告诉我? https://t.co/auzI1gQl8M

    90189054K viewsView on X
  • Aug 15, 20261.8x their median

    别牛来了! 直接豹拉! https://t.co/JxcR1X9xxB

    74392438K viewsView on X
  • Jul 19, 20261.7x their median

    点赞我看看谁还没睡熬夜等着看球呢?我准备给你们发个夜宵

    49310906.5K viewsView on X
  • Aug 18, 20261.6x their median

    大家好我是豹拉,我是牛来的好兄弟,牛来都已经40m了,而我还不到1m 是行为牛来是老外,豹拉国人太多了? https://t.co/OWzChgJcXL

    50299116K viewsView on X
  • Sep 11, 2026

    开了点火星,牛来这么有劲火星也应该差不了 $MARSCOIN https://t.co/hB9l32qm82

    54085010K viewsView on X
  • Aug 25, 2026

    空军如何应对? $BTC https://t.co/S1vLF6xSO9

    44886111K viewsView on X
  • Aug 10, 2026

    兄弟们除了大饼跟以太你们有没有拿过超过一年的币,拿了多久发出来我看看

    240111010.0K viewsView on X
  • Aug 6, 2026

    涨幅榜随便找一个空进去能不能赚钱? https://t.co/OegtJYAC7q

    36296019K viewsView on X
  • Aug 19, 2026

    听说牛来 电影准备在海外上映了,这是真的假的? https://t.co/Q3Ir5rxLMm

    2819829.4K 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

#okx百万规划师#牛来#龙虾

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 94 interactions against 271K followers, an engagement rate of 0.035%. Measured over 24 original posts, its engagement rate beats 43% of 15,519 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 11K times each, and 0.875% of those impressions turn into an interaction. That is about 3.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 03:00 UTC, and Tuesday is the busiest day of the week. Of the 24 posts sampled, 83% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 191 interactions, about 2.0x its own typical post. Recurring topics include #okx百万规划师, #牛来, #龙虾.

What is 比特币老肥.btc(敏感肥)'s engagement rate on X?
比特币老肥.btc(敏感肥) (@laofeiyyds) has an engagement rate of 0.035%, based on the median interactions across 24 original posts from the last 30 days against 270,674 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.035%, 比特币老肥.btc(敏感肥) sits above the 25th percentile of the 157,374 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 @laofeiyyds have real engagement?
Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (15,519 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 @laofeiyyds post?
Most posts go out around 03:00 UTC, and Tuesday is its busiest day, at roughly 1.5 posts per day across the measured window.

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