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Masanori Kusunoki / 楠 正憲 engagement report

@masanork - 53K followers on X

Measured over 24 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Middle of its size range
Per follower
0.277%
of 53K followers
Per impression
0.573%
25K views on a typical post
Reach
48.4%
of its followers see a post
Typical post
146
interactions (median)
Saved
0.138%
35 bookmarks on a typical post
Posting rate
2.87/day
active 50% of days
Peak time
23:00 UTC
Sunday

A typical post picks up 146 interactions against 53K followers, an engagement rate of 0.277%. Measured over 24 original posts, its engagement rate beats 64% of 21,185 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 25K times each, and 0.573% of those impressions turn into an interaction. That is about 47.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 23:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 8% carry an image or video and 38% link out. The account's strongest tracked post pulled 7.9K interactions, about 54x its own typical post. Recurring topics include #jazug, #note, #nt東京.

Measured over 24 original posts from a 30-day window, last computed on October 16, 2026. Recurring tags: #jazug, #note, #nt東京.

Compared with accounts its own size

Masanori Kusunoki / 楠 正憲's engagement rate beats 64% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 5 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 23% 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 0.277%, Masanori Kusunoki / 楠 正憲 sits above the 50th percentile of the 213,004 accounts in this comparison. That places it in the above the median band, which runs 0.147% to 0.698%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 213,004 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,390 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 percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.8%

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 23:00 UTC, and Sunday 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: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 23:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video8% of posts+111%+108% to +115%34K
Outbound link38% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 8% 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.
  • 38% 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 182 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Oct 4, 202654x their median

    【相次ぐ不正アクセスについて】 8月下旬ごろから国内の企業や組織で不正アクセスが相次いで報告されています。 「相次ぐ」というよりも「激増」くらいの表現がいいかもしれません。 ところが、その原因が何なのか、攻撃者が何者なのか、多くのサイバーセキュリティ専門家らに聞いていますが、みなさん考えあぐねている状態です。 こんなこと、今までなかったです。 どうも、さまざまなシステムに内在していたさまざまな脆弱な部分を見つけ出し、そこから正常なアクセスをひたすら試した結果、読み取るデータの範囲を拡大させていったという話も伝わってきます。 各社が外部に流出したとされる発表情報を見ると、確かに通常のAPIを叩いて出てきた範囲のように見受けられます。 データベースをハッキングして、根こそぎ盗まれたような属性が感じられないのです。 ただ、どれも確証が得られているわけではありません。 サイバー攻撃と通常のアクセスの区別がつかないような、静かな攻撃が広がっている可能性があります。 と、考えると「AIエージェントが関与か?!」と考えてしまうのですが、決め手となるエビデンスは見つかっていません。AIであることの証跡を見つけるのは並大抵のことでありません。 AIに紐づければどうとでも説明ができてしまうという、悪い風潮が広がっています。記者としてはこういう時こそ一度立ち止まり、考えなければならないと思っています。 公表が相次いでいるのは、他者の公表を見た別の組織が、念のため調べてみたら不審なアクセスを見つけたので公表した、という駆け込み公表のケースも考えられます。 2015年の日本年金機構のサイバー攻撃に端を発したemdiviの感染被害の公表が日本中で集中したケースと似ています。 週明けになれば、もう少し見えてくるものがあると思います。 今の段階で記事を出しても推認、推論のオンパレードで、正直なところ何も示せる自信がないです。 取材を進めておりますので、今しばらくお待ちください。記事を出さない単なる言い訳と捉えてもらってもいいです。

    5.6K2.1K44175741K viewsView on X
  • Oct 3, 202647x their median

    情報漏洩事故多発で、被害に遭った人たちから各社に怒りの矛先が向いていますが、攻撃はこのところ急速に激化しているので、むしろ今事故を発表したところは自分のところのシステムが比較的管理出来てる優秀なところではと思います。この状況下で漏洩に気づいてない企業が結構あるのではと恐れてます。

    4.5K2.2K25108320K viewsView on X
  • Oct 15, 202640x their median

    本日10月15日、窓の杜は創刊30周年を迎えました! AIでソフトウェアが簡単に作れるようになり、窓の杜もその役割が変わりつつあると感じていますが、これまでのご愛読、ご愛顧に感謝しつつ、「新しい窓の杜」を模索していきたいと考えています。 今後とも、どうぞよろしくお願いいたします。 (編集長 鈴木) https://t.co/8IYHIN3LHa

    4.1K1.6K49121197K viewsView on X
  • Oct 4, 202621x their median

    浮いているルービックキューブが魔法のように揃っていく。これを作れるとイメージして実際に作ったのが凄すぎます。これは目の前でみても、全然自分で作れる気がしないです #NT東京 https://t.co/bacfYAChj1

    2.3K673453213K viewsView on X
  • Oct 3, 202620x their median

    めっちゃうける #jazug https://t.co/btqNDC4P6E

    2.4K467542171K viewsView on X
  • Oct 12, 20265.8x their median

    どんなフェイクニュース対策よりもロシアのDCを物理的に破壊した方が効果的なんだな。十数年前に警察が中華プロキシー一斉摘発してくれた最初の年はサイバー攻撃が顕著に減ってID・セキュリティー部隊のインシデント対応による忘年会ドタキャンが激減したことを思い出したり https://t.co/FAj350DAYA

    5502883625K viewsView on X
  • Oct 9, 20264.6x their median

    セキュリティーエンジニアは思うよね。いくら知識があっても金がないから、ベストを尽くすしかないと。 多分、負ける国の軍師は同じことを感じていたと思う。いくら妙案があっても、あのアホにはこの話は通じないと。無駄遣いするな、今できることの中でベストを尽くせって怒られると。

    534111151826K viewsView on X
  • Oct 8, 20264.0x their median

    これは歴史に残る事件。韓国の銀行へのサイバー攻撃、AIエージェントARTEXを使って一人の若者が行った可能性「攻撃者のサーバーには外部から閲覧できるディレクトリがあり、そこにClaude Codeの作業履歴、ARTEXの設定ファイル、AIのメモリファイルが残っていた。その中で攻撃者は、自分の攻撃成果を盛り込んだ履歴書の作成をAIに依頼しており、イニシャル「YY」、26歳、華南理工大学卒、広東省茂名在住といった情報や、電話番号、Telegramアカウントを入力していた。盗んだ情報の売り先についてAIに相談した記録もあった。」

    408153221100K viewsView on X
  • Oct 6, 20263.0x their median

    https://t.co/8xvBkPVDfk >上野氏は「…修正プログラムをあてるなど基本的な対策」 顔見知りなのでズバリ行くことにする。新しい脆弱性なので修正プログラムは存在しない、各アプリごと固有の脆弱性が狙われている可能性大なので、これも修正プログラムは存在しない(情報少ない中でコメントお疲れ様

    3291053781K viewsView on X
  • Sep 30, 20261.8x their median

    最近のサーバー被害件数の増加に「AIがー」という意見も多いようですが、自動化が一気に進んで、これまで見逃されてたところが絨毯爆撃されてるようですね ある程度、大手が焼き尽くされたら、中小企業とか小規模店舗とか何でもかんでも焼かれていくのだと思います いずれにしても対策はこれまでと変わらず、「戸締りちゃんとしましょうね」ですね

    184741622K 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

#jazug#note#nt東京#togetter#都立学校ailab

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 146 interactions against 53K followers, an engagement rate of 0.277%. Measured over 24 original posts, its engagement rate beats 64% of 21,185 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 25K times each, and 0.573% of those impressions turn into an interaction. That is about 47.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 23:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 8% carry an image or video and 38% link out. The account's strongest tracked post pulled 7.9K interactions, about 54x its own typical post. Recurring topics include #jazug, #note, #nt東京.

What is Masanori Kusunoki / 楠 正憲's engagement rate on X?
Masanori Kusunoki / 楠 正憲 (@masanork) has an engagement rate of 0.277%, based on the median interactions across 24 original posts from the last 30 days against 52,989 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.277%, Masanori Kusunoki / 楠 正憲 sits above the 50th percentile of the 213,004 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 @masanork have real engagement?
Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (21,185 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 @masanork post?
Most posts go out around 23:00 UTC, and Sunday is its busiest day, at roughly 2.87 posts per day across the measured window.

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