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佐藤航陽(さとうかつあき) engagement report

@ka2aki86 - 236K followers on X

Measured over 10 original posts from a 30-day window, last computed on September 10, 2026.

Engagement

Middle of its size range
Per follower
0.427%
of 236K followers
Per impression
1.71%
59K views on a typical post
Reach
25.0%
of its followers see a post
Typical post
1.0K
interactions (median)
Saved
0.445%
262 bookmarks on a typical post
Posting rate
1.87/day
active 57% of days
Peak time
02:00 UTC
Tuesday

A typical post picks up 1.0K interactions against 236K followers, an engagement rate of 0.427%. Measured over 10 original posts, its engagement rate beats 75% of 6,874 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 59K times each, and 1.71% of those impressions turn into an interaction. That is about 25.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 50% carry an image or video, 10% are part of a thread and 40% link out. The account's strongest tracked post pulled 4.4K interactions, about 4.3x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on September 10, 2026.

Compared with accounts its own size

佐藤航陽(さとうかつあき)'s engagement rate beats 75% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 6 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 58% 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 0.427%, 佐藤航陽(さとうかつあき) sits above the 50th percentile of the 66,258 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 02:00 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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 video50% of posts+111%+108% to +115%34K
Outbound link40% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 50% 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.
  • 40% 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 131 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

  • Aug 18, 20264.3x their median

    DMM亀山会長が匿名でバイトした話が印象深かった。普段は周りの人に連絡先を聞くのもためらわないが、バイト先ではそれが出来なかった。その時に普段は肩書きに生かされてたことに気づいたと。 https://t.co/iJTySxSuWm

    3.9K4701571.0M viewsView on X
  • Mar 18, 20261.9x their median

    内閣府の宇宙開発利用大賞でスペースデータが外務大臣賞を受賞。表彰式に参加してきました。 国連と共同で「衛星 × AI」を活用して世界各国の防災計画を支援した実績を日本政府に評価頂けた。 高市総理はご多忙で欠席でしたが、成長戦力の柱である宇宙を盛り上げて日本を強くして参ります。 https://t.co/eDx73wyrmJ

    1.8K92014335K viewsView on X
  • Aug 21, 20261.8x their median

    「メタ認知を遮断する力」が大事になりそう。目の前のことに没入する能力。客観視点はAIに委ねられるので、生命性を生かして現実にどっぷりハマれるほうが優位になる。俯瞰せず、分解せず、現実をありのまま感じ取る野性が大事になってきてる。

    1.5K186055349K viewsView on X
  • Aug 25, 20261.6x their median

    言語化・構造化が手段ではなく目的にすりかわりやすいのは、コスパの良い「娯楽」だから。認知空間ではエネルギーや時間を莫大に消費しなくて済む。言語化や構造化は手っ取り早く「前進してる感覚」だけ味わえる。趣味として付き合うのが良い。

    1.4K176048483K viewsView on X
  • Aug 21, 2026

    痛み・苦しみこそ人間の最大の資産という話が刺さった。痛み・苦しみが人と人を繋ぎ、それがあるから人は工夫し、技術・文化が生まれ、集団が作られた。隠すべき弱みとされてるものが、人類の最大の強み。世界で最も成功した宗教のシンボルも「痛み」そのものと言われて、確かにと思った。

    1.1K123032133K viewsView on X
  • Aug 24, 2026

    理解を「進捗」と捉えないほうが良いし、自ら検証する気もない知識は「噂話」と大差がない。大人になるほど誤解して「知識コレクター」になりやすい。ボールを大量に飾っても球技はうまくならないが、知性だけ例外にしたいのは人間の願望に近い。

    1.1K13002665K viewsView on X
  • Aug 27, 2026

    AI後の仕事は「保険会社」と「監査法人」に似てくるって話は面白い。AIによってプロセスが自動化されると、リスクを計算して取りに行く入口と、AIの成果物を検証して責任を引き受ける出口が、仕事の中心になる。「賭ける」と「署名する」に収斂。

    7016702954K viewsView on X
  • Aug 18, 2026

    DMM亀山会長をゲストにお呼びして「お金」「友達」「幸福」について聞いた。お金を持ちすぎると実は不幸になりやすいという話の真意とは。 【🪙】「お金を持ちすぎると、人は孤独になる。」DMM亀山敬司が辿り着いた幸福論。友達、権力、相続、会社のその後。 https://t.co/p8dQuk9yrf https://t.co/WzCZEPdBSN

    260220529K viewsView on X
  • Aug 24, 2026

    YouTubeチャンネル登録者が19万人を突破!もうすぐ20万人。動画での発信もだいぶ慣れた。触れて欲しいテーマあればリクエストもお願いします🦾 https://t.co/38giN9WPbP https://t.co/tDIg7Mqqps

    20790434K viewsView on X
  • Aug 28, 2026

    三菱重工グループ出身でミサイル・無人機が専門の神谷さんがスペースデータの技術管理室長に就任。 防衛の最先端技術の研究と厳格な情報管理の両方を担う部門を新設、投資を強化していきます。 https://t.co/EtgIJV0h33 https://t.co/WFFkni9Vtm

    16070024K 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.

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Reading these numbers

A typical post picks up 1.0K interactions against 236K followers, an engagement rate of 0.427%. Measured over 10 original posts, its engagement rate beats 75% of 6,874 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 59K times each, and 1.71% of those impressions turn into an interaction. That is about 25.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 50% carry an image or video, 10% are part of a thread and 40% link out. The account's strongest tracked post pulled 4.4K interactions, about 4.3x its own typical post.

What is 佐藤航陽(さとうかつあき)'s engagement rate on X?
佐藤航陽(さとうかつあき) (@ka2aki86) has an engagement rate of 0.427%, based on the median interactions across 10 original posts from the last 30 days against 236,326 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.427%, 佐藤航陽(さとうかつあき) sits above the 50th percentile of the 66,258 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 @ka2aki86 have real engagement?
Its engagement rate beats 75% of the tracked X accounts closest to it in follower count (6,874 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 @ka2aki86 post?
Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 1.87 posts per day across the measured window.

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