マックスむらい engagement report
@entrypostman - 906K followers on X
Measured over 34 original posts from a 30-day window, last computed on August 21, 2026.
Engagement
A typical post picks up 46 interactions against 906K followers, an engagement rate of 0.005%. Measured over 34 original posts, its engagement rate beats 24% of 1,003 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 38K times each, and 0.119% of those impressions turn into an interaction. That is about 4.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 02:00 UTC, and Thursday is the busiest day of the week. Of the 34 posts sampled, 50% carry an image or video and 38% link out. The account's strongest tracked post pulled 201K interactions, about 4362x its own typical post. Recurring topics include #お尋ね者, #ドジャース.
Measured over 34 original posts from a 30-day window, last computed on August 21, 2026. Recurring tags: #お尋ね者, #ドジャース.
Compared with accounts its own size
マックスむらい's engagement rate beats 24% of the tracked X accounts closest to it in follower count (1,003 accounts, accounts of similar size (decile 5 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 8% 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 0.005%, マックスむらい sits above the 10th percentile of the 11,722 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.008%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.001% |
| 25th percentile | 0.008% |
| 50th percentile | 0.051% |
| 75th percentile | 0.341% |
| 90th percentile | 2.48% |
| 99th percentile | 309.0% |
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 02:00 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 | 0% | 15K |
| 01:00 UTC | +4% | 15K |
| 02:00 UTC | -1% | 14K |
| 03:00 UTC | -2% | 15K |
| 04:00 UTC | -5% | 12K |
| 05:00 UTC | -5% | 12K |
| 06:00 UTC | -7% | 13K |
| 07:00 UTC | -6% | 14K |
| 08:00 UTC | -7% | 17K |
| 09:00 UTC | -2% | 19K |
| 10:00 UTC | -2% | 20K |
| 11:00 UTC | -2% | 22K |
| 12:00 UTC | -1% | 24K |
| 13:00 UTC | +1% | 27K |
| 14:00 UTC | -2% | 29K |
| 15:00 UTC | -1% | 30K |
| 16:00 UTC | -1% | 30K |
| 17:00 UTC | -1% | 28K |
| 18:00 UTC | +1% | 25K |
| 19:00 UTC | 0% | 24K |
| 20:00 UTC | 0% | 22K |
| 21:00 UTC | +1% | 19K |
| 22:00 UTC | +1% | 17K |
| 23:00 UTC | +1% | 15K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +8% | 59K |
| Monday | +8% | 72K |
| Tuesday | +1% | 94K |
| Wednesday | -4% | 78K |
| Thursday | -3% | 71K |
| Friday | -5% | 73K |
| Saturday | +2% | 64K |
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 | 50% of posts | +79% | +73% to +85% | 5.8K |
| Outbound link | 38% of posts | -49% | -50% to -47% | 6.1K |
| Typical length | - | -5% | -7% to -4% | 7.9K |
- 50% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
- 38% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts.
- Its average post runs 218 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters run 5% 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 20, 20264362x their median
戦争やめて世界でこれを競うべき https://t.co/poyVC29Iad
- Aug 20, 20263819x their median
Guinea Pigs Jump Across From Rug to Rug https://t.co/yHXE0R2nBU
- Aug 18, 2026229x their median
https://t.co/l9ZmhOy76P
- Aug 18, 2026152x their median
メルエムと対峙したときのことを語るウルフェン 🐺🐺🐺 https://t.co/rfBlmPhXQX
- Aug 18, 202631x their median
Starship has the most advanced rocket engines ever built Soo....they really looked at a Raptor engine and said “yeah, tie the rope there” 😅 And that’s how starship made its way to Christmas Island https://t.co/RTUSaw4oqL
- Aug 19, 202625x their median
Today, @IBM is announcing a new modular architecture for quantum cryogenic systems. This approach to housing, connecting, and cooling quantum processors is a foundational component of IBM’s path toward IBM Quantum Starling in 2029, which is expected to be the world’s first fault-tolerant quantum computer. Learn more here: https://t.co/Tc8mUbTMZG
- Aug 18, 202624x their median
$400k cheaper than diesel over 10 years. Before FSD. Tesla Semi vs diesel – the real numbers A Class 8 diesel at current fuel prices costs ~$0.67 per mile in fuel. The Tesla Semi at 1.7 kWh/mile runs ~$0.20 per mile. That is a $0.47 gap every mile. At 100,000 miles a year the pure energy savings hit ~$47,000 per truck before maintenance. • Annual energy savings: ~$47,000 • Maintenance savings: $10,000–12,000 • 5-year TCO advantage: ~$147,000 • 10-year TCO advantage: ~$404,000 The higher purchase price is real, but the operating gap compounds fast. All numbers above are without Full Self-Driving. Driver cost alone is ~$1.00 per mile in wages and benefits. Unsupervised FSD removes most of that and enables much higher utilization (150k–200k+ miles/year). Theoretical extra savings from full autonomy: $120,000–$200,000+ per truck per year on top of the energy and maintenance advantage.
- Aug 19, 202619x their median
Cathie Wood buys $12,600,000 worth of Rocket Lab $RKLB shares today. https://t.co/VuN8RJ4bvn
- Aug 19, 20267.3x their median
デジモンコラボ 本日も大好評販売中です!✨ ▪️アドベンチャー 🍈夕張メロンどら焼き 🥤バタフライピーソーダフロート ▪️ビートブレイク 🥪とろけるカスタードホイップどら焼き ☕️ラズベリーココア フード1点ご購入ごとに限定チャームもお配りしております!また、たまご型缶バッジ等の限定グッズも多数ご用意しておりますので、是非この機会に原宿までお越し下さい💫 #デジモン #原宿 #ゆうりんあん
- Aug 18, 20264.4x their median
嘘やろ。ありえへん😕🌹💦 $TSLA と $IONQ 遠いと思ってたのに。 まさかまさかのお近付きだ❣️ Tesla Semi 500台を、 Einrideの Saga AI で運用。 しかも、その車両は Amazonなどの北米物流で使われる。 そしてSaga AIの物流最適化を、 IonQが一緒に研究してる。 つまり、 Amazon × Tesla Semi × Einride Saga AI × IonQ え、Teslaって物流最適化みたいなのは、 垂直統合で自前でやるんじゃないの? 遠かったはずのTeslaが、 急に近いぞ🔥❣️ 全ツッパ🔥🚘
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 46 interactions against 906K followers, an engagement rate of 0.005%. Measured over 34 original posts, its engagement rate beats 24% of 1,003 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 38K times each, and 0.119% of those impressions turn into an interaction. That is about 4.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 02:00 UTC, and Thursday is the busiest day of the week. Of the 34 posts sampled, 50% carry an image or video and 38% link out. The account's strongest tracked post pulled 201K interactions, about 4362x its own typical post. Recurring topics include #お尋ね者, #ドジャース.
- What is マックスむらい's engagement rate on X?
- マックスむらい (@entrypostman) has an engagement rate of 0.005%, based on the median interactions across 34 original posts from the last 30 days against 906,332 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.005%, マックスむらい sits above the 10th percentile of the 11,722 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 @entrypostman have real engagement?
- Its engagement rate beats 24% of the tracked X accounts closest to it in follower count (1,003 accounts), which puts it in the bottom quarter 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 @entrypostman post?
- Most posts go out around 02:00 UTC, and Thursday is its busiest day, at roughly 2 posts per day across the measured window.