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ちょまど🦕ITエンジニア engagement report

@chomado - 96K followers on X

Measured over 35 original posts from a 30-day window, last computed on September 16, 2026.

Engagement

Middle of its size range
Per follower
0.038%
of 96K followers
Per impression
0.663%
5.4K views on a typical post
Reach
5.67%
of its followers see a post
Typical post
36
interactions (median)
Saved
0.074%
4 bookmarks on a typical post
Posting rate
3.5/day
active 40% of days
Peak time
03:00 UTC
Tuesday

A typical post picks up 36 interactions against 96K followers, an engagement rate of 0.038%. Measured over 35 original posts, its engagement rate beats 35% 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 5.4K times each, and 0.663% of those impressions turn into an interaction. That is about 5.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 03:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 34% carry an image or video, 9% are part of a thread and 49% link out. The account's strongest tracked post pulled 2.5K interactions, about 70x its own typical post. Recurring topics include #letslearngithubcopilot, #githubウェビナー, #jazug.

Measured over 35 original posts from a 30-day window, last computed on September 16, 2026. Recurring tags: #letslearngithubcopilot, #githubウェビナー, #jazug.

Compared with accounts its own size

ちょまど🦕ITエンジニア's engagement rate beats 35% of the tracked X accounts closest to it in follower count (21,185 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 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 0.038%, ちょまど🦕ITエンジニア 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 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 video34% of posts+111%+108% to +115%34K
Outbound link49% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 34% 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.
  • 49% 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 161 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

  • Sep 15, 202670x their median

    ぴよログのAPIの公開はずっと悩んでいました。 直近の記録の読み取りのみで、機能は限定的ですが、いろいろと使い道はあるかと思います。 ぜひ使ってみてください。 ぴよログの読み取り専用API(データフィード機能)を公開しました。 https://t.co/4beasymHiK

    2.0K3505185911K viewsView on X
  • Sep 15, 202612x their median

    [朗報] 育児記録アプリ #ぴよログ API (read 権限) 公開 [神] まじで取り急ぎやりたかったのは 保育園連絡帳アプリへの自動書き込み(前日の睡眠時間や朝食の時間とか) だったけど、 保育園アプリ側が API 公開してない(しweb版も無い)ので どうにかできないか模索中👀 https://t.co/a4FLWZjNkN

    36236334115K viewsView on X
  • Sep 15, 202612x their median

    もともと私がプログラミングにハマった理由のひとつを思い出した。 私は昔から「なんでも言葉通りに受け取ってしまう」、 たとえば皮肉やお世辞、もしくは「言外の言葉」が全く分からない、という 対人間コミュニケーションにおいてまぁまぁデカい欠陥があって。 (ただし長年の学習によりそれっぽいエミュレートはできるようになった (と願ってるw)) で、18歳の時、大学の入学祝いで買い与えられたパソコンで初めてプログラミングに出会った時ね、 プログラミングの 「書いた通りにしか動かない」という性質が めちゃくちゃ「スッと」馴染んだんだよね。 ラクだぞこれはみたいな。それで一気にハマって楽しく独学してた。なんも分からないし、周り(女子大文系)に聞ける人いなくて大変だったけどねw 数学に関しても同じ(「なんか良いぞ」みたいな) 感覚を抱いてる。 私はまだまだマジで何も全然分からないしクソ雑魚中のクソ雑魚の底辺だけど、 文系(英文科)の大学出てから数年後の今 数学にハマって、ハマってからの学習が楽しくて仕方ない。 中高(女子高)の当時は数学の先生に(質問責めしてしまい)嫌われてしまってて、そのまま私も苦手になってしまってたんだけど、 今は無限に質問に答えてくれる Copilot (AI) や、ツイッタランドの詳しい方々が教えてくださるおかげで とても楽しく学べています☺️ありがとうございます!

    3842710621K viewsView on X
  • Jun 24, 20264.9x their median

    ぬこぬこさんやナル美さんに色々教えてもらって 私もサブスク始めました…!(5ドル/月) ベビ太郎のオムツ代や 勉強会参加時のベビーシッター代(毎回数万払ってる)に充てさせていただきます🙇 日常やベビ太郎の育児ログについて 沢山ツイートします! よろしければぜひ🙏 https://t.co/NzUv2hbdCn

    1372777161K viewsView on X
  • Sep 14, 20264.0x their median

    勉強会の男女比率が偏ってるのは事実だし、それで参加しにくいってのは普通の感情。そこをいちいちヘイトと対立を持ち込まれるのは困る 学びへの道や喜びが差別的な発言で閉ざされるとしたら本当に悲しいことだよ。おれは誰でも参加しやすい環境であるべきだと思うし、ここに対立はマジでいらん

    125131516K viewsView on X
  • Aug 23, 20263.5x their median

    先月、Microsoft のつよつよエンジニア James さんが、AI Dev Day 登壇のために来日していたのですが、 なんと私とベビ太郎へのお土産まで持ってきてくれていました!🥹✨ ところが私は (ベビ太郎から) インフルエンザに感染してしまい、残念ながら現場に行けず😭 James さんがお土産をマキさんに預けてくれていたので、 昨日マキさんとお茶したときに、ついに受け取りました! ベビ太郎もさっそく大喜びで遊んでます🥰ショベルカーのおもちゃと猿のぬいぐるみです!寝る時も一緒w James さん、本当にありがとうございます!!🙏✨ Thank you so much for the wonderful gifts, James! 🥹 I was so sad that Baby Taro and I got the flu while you were in Japan in July and couldn’t see you, but I finally received your gifts from Maki-san yesterday! Baby Taro already LOVES his new toy 🥰 Especially the monkey plush — he even sleeps with it! Thank you so much! @JamesMontemagno @yuma_prog

    11752218K viewsView on X
  • Sep 15, 20263.3x their median

    Microsoft Copilot (AI) 「数学の思考は強い快楽と没入を生む」 「意思の力だけで止めるのはほぼ不可能」 数学、人類には危険すぎるな 🤔 https://t.co/XINahJy0Bo

    921051013K viewsView on X
  • Sep 15, 20262.8x their median

    なんでベクトル(大きさと向きの要素を持つ)の内積はスカラーになるんだろう

    77613547K viewsView on X
  • Sep 15, 20262.6x their median

    びっくりした、 環によっては必ずしも素因数分解の一意性が担保されないってこと? https://t.co/6sGcpPdo7g

    7871961K viewsView on X
  • Sep 15, 20262.4x their median

    数学における「空間」の定義、中学の頃から気になってたけど、要するに ある「要素の集合」に、何らかの構造やルールを与えたもの で 例えばベクトル空間でいうと(in C#) interface VectorSpace<V, S> { V Add(V x, V y); V Scale(S a, V x); // しかも以下を満たせ // Add(x, Add(y,z)) == Add(Add(x,y), z) // Add(x, Zero) == x // ... } このインターフェースの具体的な実装については空間ごとに異なる みたいなイメージなのかな。 たとえば関数空間はベクトル空間の実装として class FunctionVectorSpace : VectorSpace<Function> { ... と書ける

    7333910.0K 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

#letslearngithubcopilot#githubウェビナー#jazug#ぴよログ#ちょまど登壇情報

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 36 interactions against 96K followers, an engagement rate of 0.038%. Measured over 35 original posts, its engagement rate beats 35% 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 5.4K times each, and 0.663% of those impressions turn into an interaction. That is about 5.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 03:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 34% carry an image or video, 9% are part of a thread and 49% link out. The account's strongest tracked post pulled 2.5K interactions, about 70x its own typical post. Recurring topics include #letslearngithubcopilot, #githubウェビナー, #jazug.

What is ちょまど🦕ITエンジニア's engagement rate on X?
ちょまど🦕ITエンジニア (@chomado) has an engagement rate of 0.038%, based on the median interactions across 35 original posts from the last 30 days against 95,972 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.038%, ちょまど🦕ITエンジニア 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 @chomado have real engagement?
Its engagement rate beats 35% 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 @chomado post?
Most posts go out around 03:00 UTC, and Tuesday is its busiest day, at roughly 3.5 posts per day across the measured window.

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