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吉谷光平 engagement report

@kakikurage - 261K followers on X

Measured over 12 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Middle of its size range
Per follower
0.016%
of 261K followers
Per impression
0.148%
28K views on a typical post
Reach
10.7%
of its followers see a post
Typical post
42
interactions (median)
Saved
0.016%
4 bookmarks on a typical post
Posting rate
3.23/day
active 67% of days
Peak time
00:00 UTC
Friday

A typical post picks up 42 interactions against 261K followers, an engagement rate of 0.016%. Measured over 12 original posts, its engagement rate beats 29% 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 28K times each, and 0.148% of those impressions turn into an interaction. That is about 10.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 00:00 UTC, and Friday is the busiest day of the week. Of the 12 posts sampled, 42% carry an image or video, 8% are part of a thread and 25% link out. The account's strongest tracked post pulled 340K interactions, about 847x its own typical post. Recurring topics include #びんまお, #カドコミ, #ジャンププラス.

Measured over 12 original posts from a 30-day window, last computed on September 24, 2026. Recurring tags: #びんまお, #カドコミ, #ジャンププラス.

Compared with accounts its own size

吉谷光平's engagement rate beats 29% 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 9% 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 0.016%, 吉谷光平 sits above the 10th percentile of the 205,881 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%
p750.68%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,881 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 percentile0.68%
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 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 video42% of posts+111%+108% to +115%34K
Outbound link25% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 42% 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.
  • 25% 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 88 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

  • Jan 10, 2019847x their median

    ①機械の母と娘の話 https://t.co/tvLld2bwe9

    242K96K7372.1KView on X
  • Aug 30, 2026247x their median

    登場人物を窮地に追い込んで次回につなぐのはマンガの約束事。 拳銃を突きつけられた主人公が崖っぷちに追い込まれたなら、銃声がするとか崖から飛び降りるだけでは不足であり、銃弾が命中した上で崖から落下してゆくのが正解である。 師匠、小池一夫はそうおっしゃっていました。そして挽回策は未来の自分に任せるのだと。

    7.9K2.2K562002.0M viewsView on X
  • Aug 11, 2025103x their median

    「良い企業とはなにか」を議論する就活生の話 1/5 https://t.co/1xONBsshUU

    4.1K17922544.7M viewsView on X
  • Jun 3, 20267.2x their median

    山月記は名作。 https://t.co/LWWbSC3w9o

    2.6K280275184K viewsView on X
  • Sep 18, 202646x their median

    チンピラをボコボコにするサラリーマンの話 1/8 https://t.co/7ytz6TJd4W

    1.8K10999724K viewsView on X
  • Apr 6, 20264.1x their median

    面接で100万円作れと言われた就活生の話 1/4 https://t.co/kVxahoKUKI

    1.5K8084242.3M viewsView on X
  • Sep 7, 202631x their median

    裏切った部下をボコボコにする話 1/2 https://t.co/7OZt4q3nIS

    1.1K1003128747K viewsView on X
  • Sep 3, 20269.5x their median

    調子に乗ったパワハラ営業マンが失敗する話 1/8 https://t.co/9klSkzcLCe

    3752031617K viewsView on X
  • Dec 14, 2023

    「今どきの若いモンは」はピッコマでも読めます。 結構な話数を無料で読めるのでピッコマ派の方はこちらでも是非読んでみて下さい! #ピッコマ こちら↓ https://t.co/Tx6YtGBU9n

    89106310M viewsView on X
  • Sep 15, 20262.4x their median

    「貧乏家族の長男はやがて『魔王』に成り上がる」 第3話②「共贄の樹海」 最新話更新です。巨大猿アングリーモンキーの強襲に一色樹はどう立ち向かうのか!!ぜひぜひご一読ください!! https://t.co/1o1XomCY27 #カドコミ https://t.co/uWkKqcIe5D

    64283456K 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

#びんまお#カドコミ#ジャンププラス#スノウボールアース#ボクらをクズと呼んでくれ

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 42 interactions against 261K followers, an engagement rate of 0.016%. Measured over 12 original posts, its engagement rate beats 29% 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 28K times each, and 0.148% of those impressions turn into an interaction. That is about 10.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 00:00 UTC, and Friday is the busiest day of the week. Of the 12 posts sampled, 42% carry an image or video, 8% are part of a thread and 25% link out. The account's strongest tracked post pulled 340K interactions, about 847x its own typical post. Recurring topics include #びんまお, #カドコミ, #ジャンププラス.

What is 吉谷光平's engagement rate on X?
吉谷光平 (@kakikurage) has an engagement rate of 0.016%, based on the median interactions across 12 original posts from the last 30 days against 261,371 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.016%, 吉谷光平 sits above the 10th percentile of the 205,881 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 @kakikurage have real engagement?
Its engagement rate beats 29% 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 @kakikurage post?
Most posts go out around 00:00 UTC, and Friday is its busiest day, at roughly 3.23 posts per day across the measured window.

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