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けんすう engagement report

@kensuu - 306K followers on X

Measured over 43 original posts from a 30-day window, last computed on October 17, 2026.

Engagement

Middle of its size range
Per follower
0.064%
of 306K followers
Per impression
0.595%
33K views on a typical post
Reach
10.8%
of its followers see a post
Typical post
196
interactions (median)
Saved
0.085%
28 bookmarks on a typical post
Posting rate
2.73/day
active 63% of days
Peak time
23:00 UTC
Thursday

A typical post picks up 196 interactions against 306K followers, an engagement rate of 0.064%. Measured over 43 original posts, its engagement rate beats 51% 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 33K times each, and 0.595% of those impressions turn into an interaction. That is about 10.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 23:00 UTC, and Thursday is the busiest day of the week. Of the 43 posts sampled, 42% carry an image or video and 58% link out. The account's strongest tracked post pulled 149K interactions, about 760x its own typical post. Recurring topics include #まぼろし会議, #jazug, #pr.

Measured over 43 original posts from a 30-day window, last computed on October 17, 2026. Recurring tags: #まぼろし会議, #jazug, #pr.

Compared with accounts its own size

けんすう's engagement rate beats 51% of the tracked X accounts closest to it in follower count (21,185 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 30% 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 0.064%, けんすう sits above the 25th percentile of the 212,482 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,482 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,403 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 percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.9%

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 Thursday 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 link58% 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.
  • 58% 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 178 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

  • Oct 8, 2026760x their median

    サービスを退会するときは、退会ボタンを押す前に住所を「100-0001 東京都千代田区千代田1-1-1 エンペラーパレス103号室」などで上書きしておくと、情報漏洩時のダメージを最小限に抑えることができます 法律では退会時のデータ削除は努力義務なので...

    129K19K14983915M viewsView on X
  • Oct 10, 202659x their median

    すいません、この漫画最高だったので読んでください。 無料で漫画を読む方法 https://t.co/89EJYiyPRi

    9.4K1.8K352561.1M viewsView on X
  • Sep 15, 202615x their median

    日本交通の川鍋会長、サラッとグロいこと言ってて笑う。コンサルがリストラ案件で良く使う常套句じゃないですか… 川鍋氏 意訳 • 自動運転で今のタクシードライバーの雇用が脅かされることは考えにくい。なぜならドライバーは採用を止めれば年間10%の自然減である。また、新しい仕事として自動運転用の地図データ更新作業がある。 疑問 → 年間10%減が正なら7年後にはドライバーの数が半分になるが、それら全てが地図データ更新作業員になり得るのか。 ---- 川鍋氏とハイヤー・タクシー連合会は、これまでライドシェア反対の根拠に「雇用維持、労働者保護、タクシー乗務員の賃金・所得の維持、ワーキングプア化の防止」を掲げていた。 が、実態としては「人間のタクシードライバーを守ること」よりも、「日本交通をはじめとしたタクシー産業、タクシー事業者を残すこと」がライドシェア反対の目的だったんじゃないかな。私の感想だが。 全面ライドシェアに反対し、既存のタクシー事業者主導のまま無人タクシーへ移る時間を稼ぎ、結果的に既存のタクシー事業者が優位な状態で自動運転タクシーの導入をできるようにした。   競争優位と収益獲得を至上命題とする経営者、経営コンサルとして見れば素晴らしいと思う。血も涙もないと思う人もいるだろうけど。

    2.4K399551111.8M viewsView on X
  • Oct 4, 202612x their median

    AIに「もっとこうした方が良くないですか」というと「その通りです」「こういう理由でそれは正しいです」と言ってきて「そう思うなら最初からやれよ」という気持ちになってたんですが、 最近は「悪くないですね・・・」とかだけ送ると、「あ、やべ、これじゃダメなんだな」って思って考えてくれるので、 変にフィードバックをするよりも、不穏な空気を出すだけの方がワークする?という仮説が出てきました。

    2.1K2144487241K viewsView on X
  • Aug 22, 202612x their median

    俺、いろんなYouTube出すぎだな。 半分以上断ってるんだが、 多分、 ギャラいらない、自分の車でフラッと来る、意外と遅刻しそうでしない、現場で明るいから気を遣わない、作り手側の狙いを理解して演じられる、予定調和になりすぎてたら空気を壊せる、逆に必要以上に空気を壊してる人いたら整える、全ジャンル話せる、専門知識なくても社会問題に抽象化してそれっぽく語る、なんかそれっぽく言語化する、偉い人からヤバい人まで誰とでも対談できる、みたいなサラリーマン編集者性でとりあえず箕輪さん呼んでおこうってなってる。

    2.2K486513612K viewsView on X
  • Sep 13, 20269.5x their median

    どれだけ順位が低くても、面白い漫画だという自信はあります。 未読の方はもちろん、読んでくださった方ももう一度アプリでポチッと読んでくださったら心強いです。よろしくお願いします泣 [第1画目]イッピツアヤル-横山左 |少年ジャンプ+ #ジャンププラス #イッピツアヤル [https://t.co/tEisZPpdah

    1.4K4021566428K viewsView on X
  • Oct 14, 20268.9x their median

    Claude Opus5.5とGemini4 Argonで作った記事を20本くらい比べて、日本語の精度を確認してたんですが、 ・日本語の精度はOpus5.5の方が高くて正確 ・値段は40%くらい安い ・Sonnet5.5と比べるとやや精度はいいが、12月以降はSonnetよりも高い ・Gemini4 Argonは、文章の読みやすいさとしては十分 という感じです。 ただ、致命的だったのが ・当て推量で書き換える癖がある です。 例えば、Podcastの書き起こしを記事化しよう、みたいな時に、Opusは怪しいところは「要確認」と入れたりしてくれるのと、そもそも当て推量をしないんですが、 Geminiは歴代もそうだったけど「多分こうだろ」で自分の知識で勝手に補完したり言い換えたりしちゃう。 なので、例えば「神田の○○」という店を勝手に「上石神井のxxx」みたいな全然違う店にしちゃったり、 話者が言っていないやつを保管しまくったりしちゃうというのがあり、ここが注意かな。 これを制限しないと、重大なハルシネーションが起こる可能性がありそう。 精度の高い日本語を扱いたいなら、Opus5.5、コストが気になる場合はSonnet5.5を使った方が今のところは良さそうです。

    1.4K2223091273K viewsView on X
  • Sep 3, 20268.6x their median

    コテン深井さんと 「短期的な利益だけではなくて、社会を良くするために中長期合理性を考えた行動が重要だ」 という議論を食事しながら、そうだそうだと盛り上がりまくったんですが、 会計の時に、深井さん、お財布にお金がほぼなくて、 なんなら銀行残高も600円くらいらしく「口座にあるお金は、あればあるだけ使っちゃう・・・」と言ってて 個人の生活では中長期合理性をまったく考えていなくて最高だった。

    1.6K492418113K viewsView on X
  • Oct 4, 20268.6x their median

    どうせほとんどフロントエンドはAI使うんだったら、大胆なUIの管理画面を作ってもいいんじゃないか?と思い始めてきてリウ https://t.co/HE6tk0Xtgc

    1.6K5686164K viewsView on X
  • Apr 23, 202611x their median

    Podyという、Podcastの価値を最大化するためのサービスを作っているんですが、だいぶできてきたので、事前登録をスタートしました。 Podcastを記事にしたり画像にしたりすることができます。使ってみている感じ、ものすごい効果が高いです。興味ある方は、ここ数日の僕のポストを見てみてください。お気に入りとかの入り方がエグいです。 文字起こしとか記事化とか、AI使えばできるじゃん!と思ってやろうとしたら、全然できなくて大変だったんで、作ってみました。 事前フォームはリプライ欄に。

    1.4K1632583724K 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

#まぼろし会議#jazug#pr#けんすう#テレ東aiアカデミー

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 196 interactions against 306K followers, an engagement rate of 0.064%. Measured over 43 original posts, its engagement rate beats 51% 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 33K times each, and 0.595% of those impressions turn into an interaction. That is about 10.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 23:00 UTC, and Thursday is the busiest day of the week. Of the 43 posts sampled, 42% carry an image or video and 58% link out. The account's strongest tracked post pulled 149K interactions, about 760x its own typical post. Recurring topics include #まぼろし会議, #jazug, #pr.

What is けんすう's engagement rate on X?
けんすう (@kensuu) has an engagement rate of 0.064%, based on the median interactions across 43 original posts from the last 30 days against 306,210 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.064%, けんすう sits above the 25th percentile of the 212,482 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 @kensuu have real engagement?
Its engagement rate beats 51% 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 @kensuu post?
Most posts go out around 23:00 UTC, and Thursday is its busiest day, at roughly 2.73 posts per day across the measured window.

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