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にゃんこそば🌤データ可視化 engagement report

@ShinagawaJP - 83K followers on X

Measured over 14 original posts from a 30-day window, last computed on September 9, 2026.

Engagement

Top 10% for its size
Per follower
3.82%
of 83K followers
Per impression
1.29%
230K views on a typical post
Reach
295.7%
of its followers see a post
Typical post
3.0K
interactions (median)
Saved
0.235%
540 bookmarks on a typical post
Posting rate
1.63/day
active 60% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 3.0K interactions against 83K followers, an engagement rate of 3.82%. Measured over 14 original posts, its engagement rate beats 98% of 6,874 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 230K times each, and 1.29% of those impressions turn into an interaction. That is about 277.3% 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, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video, 64% are part of a thread and 29% link out. The account's strongest tracked post pulled 121K interactions, about 41x its own typical post. Recurring topics include #foss4g, #foss4g2026.

Measured over 14 original posts from a 30-day window, last computed on September 9, 2026. Recurring tags: #foss4g, #foss4g2026.

Compared with accounts its own size

にゃんこそば🌤データ可視化's engagement rate beats 98% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 4 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 48% 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 3.82%, にゃんこそば🌤データ可視化 sits above the 90th percentile of the 65,980 accounts in this comparison. That places it in the top 10% band, which runs 2.09% to 120.0%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 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 percentile120.0%

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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video100% of posts+111%+108% to +115%34K
Outbound link29% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% 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.
  • 29% 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 134 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

  • Jul 28, 202641x their median

    【速報】イオンモール熊本「かなりの死者が出ている」熊本県警 https://t.co/okAfcQTryr 熊本県警によると、震度5弱を観測し、建物が崩壊している嘉島町のイオンモール熊本について「かなりの死者が出ている。正確な死者数の確認には時間がかかりそうだ」という。 https://t.co/8p2cSq3ZAS

    93K22K295.8K20M viewsView on X
  • Jun 4, 202113x their median

    うどん屋・そば屋の分布を描いてみたら東日本・西日本の"もうひとつの境界線"が現れた。 ざっくり西高東低の傾向ながら、東側にも"うどん文化圏"があって面白い。氷見うどん(富山)、そば優勢のエリアにぽつんと残ってるだけあって美味しいんだろうなぁ・・・🍜 https://t.co/cUN85sHQpa

    24K12K1211.5KView on X
  • Aug 22, 20265.7x their median

    池袋のウイロード、水没してた https://t.co/JRqxvwV3D6

    13K3.5K1177151.6M viewsView on X
  • Aug 22, 20265.7x their median

    西荻窪、道路が川と化しています。 https://t.co/3jITWMuQ9m

    13K3.3K1845877.4M viewsView on X
  • Aug 11, 20262.7x their median

    11日20時頃、台風15号が「観測史上初めて」茨城県南部に上陸。 東から来る台風は珍しいなぁ~と思って、過去に日本に上陸した台風の経路を可視化してみたら、15号はまさに「迷走台風」だった・・・。🧐 https://t.co/EAwqBJ5TLi

    5.9K2.1K481591.2M viewsView on X
  • Aug 28, 20261.9x their median

    ネパールの洪水、衛星写真を確認したら100km近くにわたって氾濫していてまさに「広域災害」・・・。 国境検問所が跡形も無くなった吉隆口岸のみならず、50~70km先でも集落が流されている。 奥多摩で何かあったら、数時間後に蒲田・川崎が無くなるとか、そんな距離感。 https://t.co/CUgCx6oksh

    3.8K1.8K1561267K viewsView on X
  • Aug 28, 20261.9x their median

    ネパールの洪水、衛星写真を見ていて「ひぇっ」となるのが、土石流が川をさかのぼっていること。 例えば国境のギロン港(吉隆口岸)では、約3kmにわたって泥流の遡上痕が見られる。 洪水が支流に入ること自体は珍しくないけど、今回は「標高300m以上」も駆け上がっている。これは逃げられない・・・。 https://t.co/JgkrACg3mL

    3.9K1.6K1744324K viewsView on X
  • Aug 31, 20261.8x their median

    ネパールの洪水で思い出したのが、JR小海線沿いにある「海ノ口」「海尻」「小海」といった地名。 これらは偶然の一致ではなく、887年の南海トラフ地震で天狗岳が山体崩壊を起こし、堰き止め湖ができたことが由来とされている。 山に残る「海」にはロマンを感じるけど、また起きたらと思うと・・・。 https://t.co/zV6QoYwk16

    3.9K1.3K2464192K viewsView on X
  • Oct 18, 2016

    ちなみに糸守湖の最初期のイメージは、僕にとっては小海高原美術館近くの松原湖や大月湖でした。とはいえ架空の場所なので、スタッフ毎に源泉は異なるだろうけど。

    3.3K1.1K2838View on X
  • Aug 13, 2026

    千葉の大雨を20秒にまとめてみた。 今日は南東→北西に雲が流れていて、ずっとこんな感じかな?と思っていたら、夕方から東葛・千葉方面で風がぶつかり雨雲が発達。「線状降水帯」となった。 ※千葉駅・蘇我駅は先ほどから再び大雨。大丈夫か? https://t.co/G6HrYNAsNN

    2.5K1.0K1084922K 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

#foss4g#foss4g2026

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 3.0K interactions against 83K followers, an engagement rate of 3.82%. Measured over 14 original posts, its engagement rate beats 98% of 6,874 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 230K times each, and 1.29% of those impressions turn into an interaction. That is about 277.3% 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, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video, 64% are part of a thread and 29% link out. The account's strongest tracked post pulled 121K interactions, about 41x its own typical post. Recurring topics include #foss4g, #foss4g2026.

What is にゃんこそば🌤データ可視化's engagement rate on X?
にゃんこそば🌤データ可視化 (@ShinagawaJP) has an engagement rate of 3.82%, based on the median interactions across 14 original posts from the last 30 days against 82,780 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 3.82%, にゃんこそば🌤データ可視化 sits above the 90th percentile of the 65,980 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 @ShinagawaJP have real engagement?
Its engagement rate beats 98% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the top 10% for its size 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 @ShinagawaJP post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 1.63 posts per day across the measured window.

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