笋初🪁🌻💤 engagement report
@Vxujianing - 153K followers on X
Measured over 5 original posts from a 30-day window, last computed on October 30, 2026.
Engagement
Early reading. We have captured 5 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 200 interactions against 153K followers, an engagement rate of 0.131%. Posts are seen about 2.6K times each, and 7.64% of those impressions turn into an interaction. That is about 1.71% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 63K interactions, about 315x its own typical post. Recurring topics include #vivant, #報道1930. Only 5 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 5 original posts from a 30-day window, last computed on October 30, 2026. Recurring tags: #vivant, #報道1930.
Where this sits in the catalog
At 0.131%, 笋初🪁🌻💤 sits above the 25th percentile of the 218,281 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.149% |
| 75th percentile | 0.705% |
| 90th percentile | 2.63% |
| 99th percentile | 82.5% |
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 09:00 UTC, and Tuesday 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 | 60% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 60% 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.
- 0% 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 157 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
- Aug 26, 2026315x their median
Asian rock paper scissors https://t.co/dypepSIgDP
- Mar 30, 202626x their median
British cuisine. Best in the world. https://t.co/1GDtM1kwMk
- Jul 17, 202011x their median
へずまりゅうがコロナウイルスを撒き散らす瞬間 https://t.co/3zcTMooBUk
- Aug 22, 202687x their median
Chinese kids think Americans eat people because of Epstein lol https://t.co/YfibZrnIVI
- Aug 24, 202640x their median
Asian women’s vanilla fever is much worse than the sickest white man with yellow fever
- May 12, 20262.6x their median
Tren dekorasyonlarının 100 yıllık değişimi: https://t.co/35yKWVx4ef
- Oct 27, 202611x their median
L’affaire Mbappé–Mao montre une chose : la puissance économique permet aussi d’imposer un récit. Mao Zedong était un dictateur. Pourtant, le dire peut aujourd’hui coûter des contrats. Respecter la mémoire d’un pays ne devrait pas signifier renoncer aux faits historiques.
- Oct 20, 202611x their median
马斯克能不能给x用户出个功能,一键屏蔽掉来自某个国家的推文。如果有的话,今天让我先把土耳其给蔽了
- Aug 27, 20269.3x their median
普通の日本人、戦争に発狂 1937年、日中戦争を起こした時の記録映像 https://t.co/b0vgmfGPex
- Aug 31, 20266.8x their median
« Argentina demuestra no ser racista » https://t.co/EGMA3zSk3a
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 200 interactions against 153K followers, an engagement rate of 0.131%. Posts are seen about 2.6K times each, and 7.64% of those impressions turn into an interaction. That is about 1.71% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 63K interactions, about 315x its own typical post. Recurring topics include #vivant, #報道1930. Only 5 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 笋初🪁🌻💤's engagement rate on X?
- 笋初🪁🌻💤 (@Vxujianing) has an engagement rate of 0.131%, based on the median interactions across 5 original posts from the last 30 days against 152,996 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.131%, 笋初🪁🌻💤 sits above the 25th percentile of the 218,281 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 @Vxujianing have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @Vxujianing post?
- Most posts go out around 09:00 UTC, and Tuesday is its busiest day, at roughly 1.43 posts per day across the measured window.