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しゅうへい@AIで借金6,000万返す人 engagement report

@shupeiman - 83K followers on X

Measured over 42 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Middle of its size range
Per follower
0.051%
of 83K followers
Per impression
1.02%
4.2K views on a typical post
Reach
5.00%
of its followers see a post
Typical post
42
interactions (median)
Saved
0.229%
10 bookmarks on a typical post
Posting rate
2.6/day
active 27% of days
Peak time
06:00 UTC
Saturday

A typical post picks up 42 interactions against 83K followers, an engagement rate of 0.051%. Measured over 42 original posts, its engagement rate beats 40% 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 4.2K times each, and 1.02% of those impressions turn into an interaction. That is about 5.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 06:00 UTC, and Saturday is the busiest day of the week. Of the 42 posts sampled, 55% carry an image or video and 26% link out. The account's strongest tracked post pulled 5.4K interactions, about 129x its own typical post. Recurring topics include #アングリースクワッド, #安達奈緒子, #藤井道人.

Measured over 42 original posts from a 30-day window, last computed on October 6, 2026. Recurring tags: #アングリースクワッド, #安達奈緒子, #藤井道人.

Compared with accounts its own size

しゅうへい@AIで借金6,000万返す人's engagement rate beats 40% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 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 41% 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 0.051%, しゅうへい@AIで借金6,000万返す人 sits above the 25th percentile of the 205,582 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 205,582 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 06:00 UTC, and Saturday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video55% of posts+111%+108% to +115%34K
Outbound link26% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 55% 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.
  • 26% 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 147 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 2, 2026129x their median

    酒を飲まないと言うと「ストイックですね」と言われるけど、僕の中ではむしろ合理的なだけ。お酒のコストは、飲んでいる2〜3時間だけではない。睡眠の質が落ちて、翌朝の集中力まで持っていかれる。夜の予定なのに翌日の時間まで使っている。これがもったいない。 僕は人生で「時間」が一番大事だと思っているので、昨日の楽しさのために今日の自分のパフォーマンスを落としたくない。会食には行くし、人とも会う。でも酒は飲まない。そして翌朝は普通に起きる。 酒をやめると夜がつまらなくなると思っている人もいるけど逆だった。飲み会は頭がシャープなのでさらに楽しいし、朝が面白くなって、1日が充実する。時間の価値が高くなり、健康になり、認知症リスクも下がる。つまり、限られた人生を長く味わい尽くせる。僕にとっては我慢ではなく、100%いいことしかない。

    4.0K5271077942.5M viewsView on X
  • Oct 4, 202680x their median

    https://t.co/IfILsJnYQV これ、ADHDじゃない人も入れた方がいい。 i-have-adhd Skill入れると、 AIのクソ長い説明がかなりマシになる。 結論 ↓ 次にやること ↓ 必要な手順 の順で返してくるようになる。 ADHD向けって名前だけど、 普通に "AIの文章が読みにくい" って人向けSkill。

    3.0K316242206K viewsView on X
  • Sep 3, 202643x their median

    スクショ取って矢印つけて解説…みたいなことやらなくていいです。 やることは、Claude Codeに「スキッチ風に装飾して」というだけ。 これで3枚目みたいな画像になります。 https://t.co/hMO0MGOMQo

    1.7K102827258K viewsView on X
  • Oct 5, 202635x their median

    𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐍𝐨𝐭𝐞⭐︎*・゚ ⠀ ✦ 脚本/#安達奈緒子  ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ 原作にあるセリフの完全再現よりも「人が演じた時の豊かさ」を重んじる #藤井道人 監督。 本作では、NHK連続テレビ小説「おかえりモネ」や「きのう何食べた?」シリーズを手掛けてきた脚本家・ 安達奈緒子さんのサジェスチョンが大きな影響を与えたという。 ⠀ 監督は「あるとき、僕がセリフをカットしようとしたら安達さんが申し訳なさそうに『でも、このセリフは聞きたいんです』と仰ったのです。彼女の“この言葉をちゃんと残したい、観客に届けたい”という意図を感じ、僕はとても感動しました」と語る。 ⠀ クランクインまで約2年にわたる改稿作業。実際の季節と連動した《夏編》《冬編》の撮影の合間にも脚本を磨き上げ続けた。 ⠀ ▽プロダクションノート全編 https://t.co/LNIpBbw4Ch ⠀ #汝星のごとく 10.9(金)公開

    1.3K18311752K viewsView on X
  • Oct 4, 202627x their median

    Dotsマジで真逆な感想を持っている人が多くて不思議だなあ。認知負荷滅茶苦茶高いでしょこいつ……。 Dotsは会話が1スレッドだから複数進める上で情報が発散するから認知負荷めっちゃ高いし、Slackとかでスレッド立てても会話順に引っ張られてスレッドに引っ張られてくれないから「どこでどう会話したからDotsはどう受け取る」まで考えて会話することになって滅茶苦茶しんどいんだけど、どういう会話をすると「認知負荷が小さい」って感じになるんだろう。コンテキストは半日くらいで抜けて会話は通じないしなあ。連携するもののサイズとかの違いとかなのかなあ。うーむ……。

    930723579334K viewsView on X
  • Sep 3, 202619x their median

    AIが怖い…これがFDE現場のリアルな反応でした。 愛媛の造船パイプ加工の現場に、Claude Code導入を進めています。 これまで全て人が手書きで対応していた図面チェック。1日400枚を捌く中で、必ず曲げやカットの誤作が生まれます。納品後の修正で年間で数千万円規模のコストが発生。 じゃあ全てAIに任せましょ…とはならず、 「この図面チェックの作業をどう説明したらいいかわからない」 というところからのスタート。 つまり、現場作業なので人が人に理解してもらうための説明が難しい。 もちろんぼくも経験がないのでわからない。 そこで今回は、Fable5.1にこれまでの3時間超えの打ち合わせ音声と図面データを読み込ませて、「この図面のここにチェック✅入ってる理由わかる?」と聞きました。 ・造船の配管工場で、現場が蛍光ペンで印を付けた図面の写真をAIに見せた ・寸法の差からベンドの取り代と溶接の隙間4mmまで計算して説明した(現場の人「合ってる」) ・ぼくも現場の人も、ここまでは「読み取りが賢いだけ」と思っていた ・現場の人が「溶接しやすいように部分で先に作る印」と1文だけ教えた ・印のない別の図面を見せると、塗る場所を当てた ・長い直管は最後に付けるから塗らない、という理由まで付いていた ・今までは、この判断は1人の頭の中にあって「文章にしろと言われても無理」だった ・今は、理由1文と実例1枚で次の図面に当てはまる ・この手書きの印を、現場は2人で1日400枚付けている ここからさらに精度や全行程への指示書になるように磨いていきます。

    719591820109K viewsView on X
  • Sep 1, 202614x their median

    大赤字ガラガラで閉店した田舎のコワーキングスペース。なぜか閉店した後に、売上月300万を超えるようになりました。 https://t.co/YscMtTnvZz

    566743361K viewsView on X
  • Oct 5, 202612x their median

    ネトフリ映画ランキング1位!!!!! #アングリースクワッド https://t.co/xz55NKcLaJ

    4375681032K viewsView on X
  • Oct 5, 20268.0x their median

    高速道路で走りながらEV充電、ホンダと大成建設が挑戦 最速120キロ対応 https://t.co/1yxicHZXrR 車両とインフラのシステムを一体開発し、2027年度以降に実証を始めます。走行充電が実現すれば車載電池が小型化でき、価格下げや車体軽量化が可能になります。

    1203862117259K viewsView on X
  • Aug 31, 20266.5x their median

    FDE、アメリカではこの仕事で年収5,000万円はザラらしい。 FDE(Forward Deployed Engineer)=AIを顧客の現場に実装する人。 「AIは勉強した。で、成果にどう繋げるの?」に答える仕事が、いま世界で急速に増えている。 私もFDEとして活動をしているが、日本ではまだまだ日の目を見ていない。 改めて普段自分がどんなことをしているか紹介してみようと思う。

    253931054K 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

#アングリースクワッド#安達奈緒子#藤井道人

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 83K followers, an engagement rate of 0.051%. Measured over 42 original posts, its engagement rate beats 40% 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 4.2K times each, and 1.02% of those impressions turn into an interaction. That is about 5.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 06:00 UTC, and Saturday is the busiest day of the week. Of the 42 posts sampled, 55% carry an image or video and 26% link out. The account's strongest tracked post pulled 5.4K interactions, about 129x its own typical post. Recurring topics include #アングリースクワッド, #安達奈緒子, #藤井道人.

What is しゅうへい@AIで借金6,000万返す人's engagement rate on X?
しゅうへい@AIで借金6,000万返す人 (@shupeiman) has an engagement rate of 0.051%, based on the median interactions across 42 original posts from the last 30 days against 82,995 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.051%, しゅうへい@AIで借金6,000万返す人 sits above the 25th percentile of the 205,582 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 @shupeiman have real engagement?
Its engagement rate beats 40% 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 @shupeiman post?
Most posts go out around 06:00 UTC, and Saturday is its busiest day, at roughly 2.6 posts per day across the measured window.

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