Back to @chomado's profile

ちょまど🦕ITエンジニア engagement report

@chomado - 95K followers on X

Measured over 25 original posts from a 30-day window, last computed on August 25, 2026.

Engagement

Middle of its size range
Per follower
0.019%
of 95K followers
Per impression
0.433%
4.2K views on a typical post
Reach
4.36%
of its followers see a post
Typical post
18
interactions (median)
Saved
0.048%
2 bookmarks on a typical post
Posting rate
1.63/day
active 20% of days
Peak time
03:00 UTC
Monday

A typical post picks up 18 interactions against 95K followers, an engagement rate of 0.019%. Measured over 25 original posts, its engagement rate beats 25% of 3,829 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 0.433% of those impressions turn into an interaction. That is about 4.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 25 posts sampled, 36% carry an image or video and 60% link out. The account's strongest tracked post pulled 164 interactions, about 9.1x its own typical post. Recurring topics include #letslearngithubcopilot, #githubウェビナー, #jazug.

Measured over 25 original posts from a 30-day window, last computed on August 25, 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 25% of the tracked X accounts closest to it in follower count (3,829 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 24% 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 0.019%, ちょまど🦕ITエンジニア sits above the 25th percentile of the 37,071 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99158.3%
Engagement rate as a share of followers, across the 37,071 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,527 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile158.3%

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 Monday 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 6%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%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%71K
10:00 UTC-2%73K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-2%92K
18:00 UTC-1%86K
19:00 UTC-2%81K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%234K
Monday0%294K
Tuesday-3%288K
Wednesday-1%253K
Thursday-2%247K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jun 24, 20269.1x 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

    1262747126K viewsView on X
  • Aug 23, 20267.0x 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
  • Aug 24, 20263.5x their median

    #LetsLearnGitHubCopilot 配信、 皆様のおかげでトレンドに乗りました! 皆様と一緒に盛り上がれて大変楽しかったです☺️ 誠にありがとうございました! https://t.co/HMXC4hlvi7

    564213.6K viewsView on X
  • Aug 24, 20262.7x their median

    今日 8/24(月) お昼 12:00-13:00 GitHub Copilot 配信します! 私が前半の概要説明で 後半まるまるライブデモ (by @okazuki ) なんだけど エージェントが動いてる待ち時間 皆様のコメント頼りなので 本当お願いします! 来て! コメントして🙏 https://t.co/IQbc7SUJ6y #LetsLearnGitHubCopilot

    3680547K viewsView on X
  • Aug 24, 20262.6x their median

    記事も書いたよ〜! https://t.co/qVto0V8xJc #LetsLearnGitHubCopilot

    387023.6K viewsView on X
  • Aug 20, 20262.6x their median

    クソデカ PR を 複数の PR に分けてくれる新機能 Stacked Pull Requests だ! (大きな変更を依存関係のある小さなプルリクエストの連鎖として分割・積み上げて管理する機能) #GitHubウェビナー https://t.co/88zsfOpy1z

    404034.2K viewsView on X
  • Aug 21, 20262.2x their median

    #ちょまど登壇情報 Azure 女子部(オンラインは参加性別不問)で GitHub Copilot 入門セッションやります✨ 📣 第 12 回 Japan Azure User Group #jazug for Women 📅 9/29(火) 19:00 ~ 20:30 📍[女性のみ] マイクロソフト品川 📍[性別不問] オンライン ぜひ見てね☺️ https://t.co/ggIvtlT7gZ

    2711029.4K viewsView on X
  • Aug 24, 20262.2x their median

    GitHub Copilot App, まじでアプリ内でなんでもできるから便利だよね #LetsLearnGitHubCopilot https://t.co/CBiiEAjBjx

    371014.8K viewsView on X
  • Aug 20, 20262.1x their median

    品質良いのに マジで意味不明なレベルで安いのでオススメ ーー 品質は上がったのに価格は1/4 ~Microsoft、軽量コーディングモデル「MAI-Code-1.1-Flash」を発表 https://t.co/JB4tpi4oec #GitHubウェビナー

    314027.5K viewsView on X
  • Aug 20, 20262.0x their median

    わぁ嬉しい!今日の #GitHubウェビナー がツイッタートレンドになっていました☺️ ご参加くださった方々、 ツイートしてくださった方々、 誠にありがとうございました! 明日以降にアーカイブ動画が上がるはずなので、そちらもぜひ✨👀 https://t.co/PYez0Vghq2

    321123.5K 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#ちょまど登壇情報#womanaiupdate2026

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.

Buy or sell X accounts - escrow-protected

PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 18 interactions against 95K followers, an engagement rate of 0.019%. Measured over 25 original posts, its engagement rate beats 25% of 3,829 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 0.433% of those impressions turn into an interaction. That is about 4.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 25 posts sampled, 36% carry an image or video and 60% link out. The account's strongest tracked post pulled 164 interactions, about 9.1x 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 0.019%, based on the median interactions across 25 original posts from the last 30 days against 95,213 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.019%, ちょまど🦕ITエンジニア sits above the 25th percentile of the 37,071 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 25% of the tracked X accounts closest to it in follower count (3,829 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 Monday is its busiest day, at roughly 1.63 posts per day across the measured window.

Keep going