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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 120.0% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 29% 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
- 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
- Aug 22, 20265.7x their median
池袋のウイロード、水没してた https://t.co/JRqxvwV3D6
- Aug 22, 20265.7x their median
西荻窪、道路が川と化しています。 https://t.co/3jITWMuQ9m
- 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
- 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
- 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
- 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
- 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。
- 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
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
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.