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田端信太郎 @ 毎朝8時45分から株ライブ! engagement report

@tabbata - 430K followers on X

Measured over 6 original posts from a 30-day window, last computed on August 30, 2026.

Engagement

Per follower
0.553%
of 430K followers
Per impression
1.27%
187K views on a typical post
Reach
43.5%
of its followers see a post
Typical post
2.4K
interactions (median)
Saved
0.087%
163 bookmarks on a typical post
Posting rate
1.67/day
active 17% of days
Peak time
06:00 UTC
Sunday

Early reading. We have captured 6 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 2.4K interactions against 430K followers, an engagement rate of 0.553%. Posts are seen about 187K times each, and 1.27% of those impressions turn into an interaction. That is about 43.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 33% carry an image or video and 100% link out. The account's strongest tracked post pulled 42K interactions, about 18x its own typical post. Recurring topics include #田端信太郎, #juicejuice, #ocha_norma. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 6 original posts from a 30-day window, last computed on August 30, 2026. Recurring tags: #田端信太郎, #juicejuice, #ocha_norma.

Where this sits in the catalog

At 0.553%, 田端信太郎 @ 毎朝8時45分から株ライブ! sits above the 75th percentile of the 36,654 accounts in this comparison. That places it in the top 25% band, which runs 0.433% to 2.10%.

p100.002%
p250.012%
p50 (median)0.08%
p750.433%
p902.10%
p99160.5%
Engagement rate as a share of followers, across the 36,654 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,977 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 percentile0.433%
90th percentile2.10%
99th percentile160.5%

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 06:00 UTC, and Sunday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 06:00 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%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%101K
16:00 UTC-3%98K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-1%57K
23:00 UTC-2%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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%231K
Monday0%288K
Tuesday-2%278K
Wednesday-1%251K
Thursday-1%245K
Friday-3%253K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 28, 202618x their median

    引っ越す前に絶対にチェックすべきサイト 住所を入れたら太陽が建物にどの方向からどの時間帯に差し込むか確認できる。 家を買うとき、賃貸するときの判断材料に https://t.co/gqvF09WlUc https://t.co/E5SITVR6LQ

    38K4.1K204066.8M viewsView on X
  • Aug 29, 20265.5x their median

    それにしても、レベルが低すぎる。 2026年の首相官邸で、総理と官房長官を前に、ChatGPTに音声で指示して簡単なアプリを作らせ、 「1分でできた」 「すごい」 と盛り上がる。 これ、AI政策というより初心者向け生成AI体験会でしょう。 政府が本当に議論すべきなのは、AIが出した結果を誰が検証するのか、行政データや個人情報をどう扱うのか、誤った判断をした場合の責任をどうするのか、といった実装段階の問題です。 しかも、これを首相官邸でチームみらいの安野党首が行い、「総理にAIを教える人」としてテレビ各社が報道する。 結果として、「チームみらい=AIに強い政党」という最高の政党PRにもなっている。 なぜ政府が、特定政党の最大の「売り」を官邸という舞台で宣伝するような機会を提供するのでしょう。 コロナ禍の台湾で、オードリー・タン氏らがやったのは「デジタルってすごいでしょう」という実演ではありません。 社会が混乱する中、行政、市民社会、エンジニアが連携し、国民が実際に使える仕組みを短期間で実装した。 台湾は、技術で問題を解決した。 日本は、技術を使っているところを見せている。 この差は大きい。 2026年にもなって「ChatGPT、すごいですね」で盛り上がっている場合ではないでしょう。 AIで何ができるかではなく、AIで政府は何を解決したのか。 問われるべきは、そこだと思います。 https://t.co/5ncrX87Hol

    9.4K3.1K270246639K viewsView on X
  • Aug 29, 20262.0x their median

    東京新聞による、外務省のロシアへの学生派遣について調査した特集記事。これによると、外務省は「本来学生を公募すべきだが、国際情勢に鑑み準備を慎重に進めている」との理由で、外務省が大学を選んで直接学生の推薦を依頼したとのこと(東京新聞が依頼文を入手)。 記事では、法政大学のグローバル教育センター長の松本悟教授が「結果的に無事帰国できたとしても、リスクがあったことに変わりはない。外務省には中止してほしかった」と、この派遣を問題視しておられます。 その他の大学教員の見解としては、戦時の学生派遣に対する慎重論として私と慶應義塾大学の廣瀬さんの2名、そして肯定論として早稲田大学の先生1名のものが掲載されています。 https://t.co/1cx1XrNwpN

    3.1K1.5K46127357K viewsView on X
  • Sep 10, 20161.9x their median

    絶対確実ではないが、誰でも、そこそこの確率(50%以上?)で億万長者になる方法。まず週に合計8時間、コンビニ等(時給1000円強)でバイトする。増えた収入の月3万円をMSCIワールドに連動するインデックス投信で積立る。そして、これを40年続ける。はい、億万長者(1億)の出来上がり

    3.7K56938113View on X
  • Aug 30, 2026

    元上司の堀江貴文さんについて語ります。 https://t.co/6aktjBCu5G @YouTubeより

    1411217K viewsView on X
  • Aug 30, 2026

    これは! https://t.co/n7dy8GzM6Z

    30107.6K viewsView on X
  • Aug 30, 2026

    Juice=Juiceは紅白に届くのか!?NewJeansの年内再始動はある?野球、アイドル、サウナ、政治と居酒屋でたっぷり語りました【ゲスト:中山 武留さん】 https://t.co/2DAL6meMAI

    30106.8K 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

#田端信太郎#juicejuice#ocha_norma#signaltalks#signaltalks2026

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 2.4K interactions against 430K followers, an engagement rate of 0.553%. Posts are seen about 187K times each, and 1.27% of those impressions turn into an interaction. That is about 43.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 33% carry an image or video and 100% link out. The account's strongest tracked post pulled 42K interactions, about 18x its own typical post. Recurring topics include #田端信太郎, #juicejuice, #ocha_norma. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is 田端信太郎 @ 毎朝8時45分から株ライブ!'s engagement rate on X?
田端信太郎 @ 毎朝8時45分から株ライブ! (@tabbata) has an engagement rate of 0.553%, based on the median interactions across 6 original posts from the last 30 days against 430,292 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.553%, 田端信太郎 @ 毎朝8時45分から株ライブ! sits above the 75th percentile of the 36,654 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 @tabbata have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @tabbata post?
Most posts go out around 06:00 UTC, and Sunday is its busiest day, at roughly 1.67 posts per day across the measured window.

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