かぶ1000 engagement report
@kabu1000 - 390K followers on X
Measured over 18 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
A typical post picks up 423 interactions against 390K followers, an engagement rate of 0.109%. Measured over 18 original posts, its engagement rate beats 72% of 20,444 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 54K times each, and 0.78% of those impressions turn into an interaction. That is about 13.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 00:00 UTC, and Saturday is the busiest day of the week. Of the 18 posts sampled, 72% carry an image or video, 6% are part of a thread and 6% link out. The account's strongest tracked post pulled 3.5K interactions, about 8.3x its own typical post.
Measured over 18 original posts from a 30-day window, last computed on September 30, 2026. Recurring tag: #r_blog.
Compared with accounts its own size
かぶ1000's engagement rate beats 72% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 41% 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 0.109%, かぶ1000 sits above the 25th percentile of the 205,261 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 00:00 UTC, and Saturday 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 | 72% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 6% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 72% 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.
- 6% 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 166 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
- Jun 6, 20228.3x their median
【著書紹介】 ①貯金40万円が株式投資で4億円 元手を1000倍に増やしたボクの投資術 ⬇️Amazon https://t.co/EmhOCeaSQI ⬇️楽天 https://t.co/LNSlioUb9O ②賢明なる個人投資家への道 ⬇️Amazon https://t.co/2LqOBB91fv ⬇️楽天 https://t.co/1atCn8JCOA https://t.co/P8OIkFmbmD
- Aug 17, 20268.2x their median
ドトールなう。家族全員(5人)500株保有なので年間25,000円分の株主優待が貰えます。 お陰でドトールでのカフェタイムはずっと無料。有難く活用させてもらっています。 https://t.co/ILIp735cO4
- Sep 16, 20266.3x their median
今日から四季報三昧だぁー😆高島屋で買うと株主優待で10%引きになるのでお得🉐 https://t.co/J6A05sgrvE
- Aug 25, 20265.4x their median
帰りに高島屋のデパ地下で半額のお寿司を購入🍣半額のシールが貼られた瞬間幸せな気持ちになります☺️株主優待で更に10%引きに🈹 https://t.co/6zwlxszjUC
- Sep 26, 20265.0x their median
今回の勉強会で会った投資家友達との話題で中心だったのは株の話とかではなく、どうやってお金を使って行くかと言う話題でした。1万円以下の外食は食べないとか、ヴィトンで1日に600万使ったとか景気のいい話が連発。みんなめちゃ儲かってるんだなぁと実感しました😳私自身も必要以上にお金を増やしても何の意味もないと思っているので、有意義に使っていけたらなぁと考えてます。 あとみんな欲していたのは家政婦さん。家の雑務など自分でやらずに外注出来れば、時間効率が高まるのは間違いないけど、セキュリティ面での課題があり、なかなか人選が難しいとの共通意見。 最後の話題はやっぱり健康。毎日歩くなど健康に気を使いダイエットしている人が多かった。
- Jul 29, 20263.8x their median
3万円台で買えるとは思わなかった😳 https://t.co/CD1IdwOdDy
- Aug 26, 20263.7x their median
優待枠で最大投資額の共立メンテナンス。今年の3月に株価が軟調だったため、家族(5名義)で各2,000株ずつ購入。運良く5ヶ月で+40%を超える含み益に😊 年間の優待額は総額で30万円(3万×2回×5人)、3年後には40万円に増額。これだけあれば毎年家族で旅行出来るので大変有難い優待☺️ https://t.co/Pptsgrte12
- Sep 9, 20263.4x their median
株式投資を始める上で、最初に何を誰を参考(メンター)にするかによって、その後の投資人生は大きく変わって来る思う。 私が株式投資を始めた頃は、日本証券新聞や株式にっぽんなど、新聞や雑誌を読んで自分なりに情報収集して考えていくしかなかった。悩みながらも試行錯誤しながら少しずつ経験を積み重ねていく日々だった。 その後、ベンジャミングレアムの著書『賢明なる投資家』に出会い、これこそが自分が目指している投資法だと確信し、今もその投資スタイルを継続している。 しかし今は様々な個人投資家の本が溢れ、SNSでは様々な情報に満ち溢れている。手法一つ取ってもある人は推奨し、ある人は否定するなど、同じことでも意見が違っていることも多々ある。 そう言った曖昧な情報が溢れている現状で、最初に影響を受けた人が誰かによって、その後の投資家人生が決まってくると言っても過言ではない。最初にビギナーズラックで再現性が低い投資法で儲かったことにより、その成功体験が仇となり最終的に破滅する運命を辿ってしまう人も少なくないと思う。 そういう意味でも私は安易に人に株を教えること(ましてや有料で)はしないし、もし教えるとするならは、その人の人生を変えてしまうかもしれないリスクを引き受けた上で、誠心誠意その人が自立出来るまで教え切らないと、中途半端な知識により、身を滅ぼす危険が多いのが株式投資の世界でもあり、株を教えることの難しさでもあると思う。 幸いうちの家族は私の投資手法を理解してくれて、全員株式投資でうまく行っている。ただしそこに至るまでは10年以上の歳月が掛かっている。 私にとって『株式投資は人生最高の友』であり、人生に活力や刺激を与えてくれるスパイスでもある。だからこそ相手の怖さや性格、そして恩恵もとことん熟知する必要がある。知らないことが多ければそれがリスクの元凶にもなり、勝負所で勝負も出来ない。 株式投資は常に真剣勝負の世界。自分の大切なお金を預けるのだからなおさらそう。安易な気持ちで付き合うとしっぺ返しを受けるのは必然。安易に誰かに教えて貰って簡単に儲かるような甘い世界ではないと思う。
- Jul 22, 20263.4x their median
「安く買って高く売れば儲かる」——当たり前すぎる理屈なのに、気づけばその逆をさせてしまうのが株式市場の恐ろしさであり、面白さでもある。長年相場を眺めていますが、本当に奥が深い世界だと感じます。
- Aug 23, 20263.1x their median
資産運用と人生設計を考える上で、資産の「運用」と「取り崩し」のバランスは永遠の課題だと感じる。 私自身、単身で若かった頃は「金融資産が3,000万円あれば十分」と考えていました。時が経ち、家族ができ、両親が高齢化するにつれて必要な支出・支援が増えるなか、より保守的にと「金融資産2億円」に目標を引き上げました。 さらに最近ではインフレの進行に伴い生活コストが上昇しているため、金融資産だけでなく、住宅などの不動産や金をはじめとする現物資産を保有する必要性も実感しています。 一方で、必要以上の資産を抱え続けることには意味がないとも考え、余剰分については積極的に人生を豊かにするために使うようになりました。 自分の年齢、家族構成、インフレの動向などによって、必要な資産のあり方は常に変化します。その時々の状況に合わせて、最適化された資産を築いていくことこそが大切なのだと感じます。 #モーサテ
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 423 interactions against 390K followers, an engagement rate of 0.109%. Measured over 18 original posts, its engagement rate beats 72% of 20,444 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 54K times each, and 0.78% of those impressions turn into an interaction. That is about 13.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 00:00 UTC, and Saturday is the busiest day of the week. Of the 18 posts sampled, 72% carry an image or video, 6% are part of a thread and 6% link out. The account's strongest tracked post pulled 3.5K interactions, about 8.3x its own typical post.
- What is かぶ1000's engagement rate on X?
- かぶ1000 (@kabu1000) has an engagement rate of 0.109%, based on the median interactions across 18 original posts from the last 30 days against 389,902 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.109%, かぶ1000 sits above the 25th percentile of the 205,261 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 @kabu1000 have real engagement?
- Its engagement rate beats 72% of the tracked X accounts closest to it in follower count (20,444 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 @kabu1000 post?
- Most posts go out around 00:00 UTC, and Saturday is its busiest day, at roughly 0.63 posts per day across the measured window.