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亚洲青牛(bull888)💹 engagement report

@bullonmarket - 315K followers on X

Measured over 30 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 315K followers
Per impression
0.422%
13K views on a typical post
Reach
4.26%
of its followers see a post
Typical post
56
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.97/day
active 90% of days
Peak time
07:00 UTC
Tuesday

A typical post picks up 56 interactions against 315K followers, an engagement rate of 0.018%. Measured over 30 original posts, its engagement rate beats 33% of 6,874 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 13K times each, and 0.422% of those impressions turn into an interaction. That is about 4.26% 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, with activity on almost every day in the window. Most posts go out around 07:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 147 interactions, about 2.6x its own typical post.

Measured over 30 original posts from a 30-day window, last computed on September 4, 2026.

Compared with accounts its own size

亚洲青牛(bull888)💹's engagement rate beats 33% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 26% 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 0.018%, 亚洲青牛(bull888)💹 sits above the 25th percentile of the 66,393 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.5%
Engagement rate as a share of followers, across the 66,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,924 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.5%

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 07:00 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.

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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 486 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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 12, 20262.6x their median

    $DEALER 是, 个值得关注的项目,因为它并非仅仅追逐最新潮流。 真正引人注目的是项目背后的架构及其生态系统内的联系。与 ANSEM 相关的资金分配、围绕 NORMIE 的开发者活动,以及来自大型钱包的关注,都为这个项目增添了更深层次的意义。@ansemdealer CA: 6f8ZQhxqfigdv7UszZ1rirbV7Sgv83s3rxv1N2Zopump 比起预测每, 个短期走势,我更关注 DEALER 在获得初步关注后的表现。优秀的项目往往能在最初的热潮消退后,依然保持发展势头、社区关注度和重要性。 DEALER、ANSEM 和 NORMIE 之间的联系也赋予了该项目独特的生态系统视角,而不仅仅是, 个孤立的、追随潮流的项目。 对我而言,目前最值得关注的是,随着越来越多的人开始关注,社区和项目故事能否继续发展壮大。

    252495322K viewsView on X
  • Aug 8, 20262.0x their median

    Robinhood Chain 又多了一只很有意思的猫 🐱 $HMM 给我的感觉很特别。它目前还处在比较早的阶段,但社区已经开始出现持续的讨论和互动,市场关注度也在慢慢升温。对于, 个刚起步的 Meme 来说,这种早期活跃度往往比单纯的一根大阳线更有意思。@thinkingcatRH 更重要的是,HMM 的定位非常简单: Thinking Cat。没有复杂的叙事,反而让社区有足够空间去创造自己的梗、内容和文化。如果后续参与的人越来越多,这只猫能不能从一个小 Meme 逐渐变成 Robinhood Chain 上更有辨识度的角色,就很有意思了。👀 CA: 0x7FE995a80075dF3Dc8Ae11A9b82c7FE4202CD87f

    47655454K viewsView on X
  • Aug 18, 20261.8x their median

    当前市场高度集中在以猫为主题的 Meme(模因币)上,但叙事热点往往不会永远停留在同一个板块。 从布局角度来看,一个有趣的看点在于:如果资金开始从“猫”类题材轮动到“狗”类题材,会发生什么?当占据主导地位的 Meme 叙事开始失去动能时,流动性往往会寻找下一个具有足够文化号召力、能吸引大众目光的题材。 这正是 $DOW 值得关注的原因所在。@dogonwire 🐶 鲜明的“狗”系 Meme 属性 🐶 布局了可能兴起的“狗”系叙事热潮(Meta) 🐶 抢先布局潜在的叙事轮动行情 🐶 借助与 Robinhood 相关的 Meme 文化,知名度正不断提升 关键不仅仅在于预测“狗”系代币的表现会优于“猫”系;更大的机会在于,在轮动趋势变得人尽皆知之前,就能捕捉到这一转变。 如果“狗”系叙事开始积聚动能,关注度可能会迅速发酵——先是在早期社群中传播,随后扩展到更广泛的散户群体。 市场的驱动力是流动性,而 Meme 的驱动力则是关注度。 如果关注度转向“狗”系题材,$DOW 绝对是一个值得密切关注的标的。👀🐾 保持布局,拿好你的 $DOW。 0x20Aa6E63076EE856F46bb31f7D30E60B335B11E9

    78019116K viewsView on X
  • Aug 13, 20261.7x their median

    $PLUMBER 股票在最初的价格飙升后经历了相当健康的回调,目前市场似乎正在进入休整期。 第, 阶段,买盘强劲,上涨势头迅猛。达到最初的峰值后,卖方开始出现,图表逐渐降温。此后,我们看到几次反弹尝试,但都未能完全恢复最初的涨势。https://t.co/L7LQ6QupIh CA: GCa9TZMK9Q3VUSkhZgX76YAQBjqQd1dPxkBnZojFpump 我发现有趣的是,价格走势变得平静得多。波动性降低,注意力集中,PLUMBER 目前基本上处于“下, 步该怎么做?”的阶段。 对我而言,重要的不是另, 次随机的飙升。我希望看到持续的买盘出现,当前的区间成为, 个稳定的平台。这表明市场正在重建信心,而不是仅仅追逐某, 根K线。 PLUMBER 不需要, 夜暴涨。如果社区保持活跃,兴趣逐渐恢复,那么这个看似平静的阶段最终可能会成为整个过程中最激动人心的部分。

    2094116K viewsView on X
  • Aug 9, 20261.6x their median

    从近期的盘面表现来看, $PIZZA 在经历前期的大幅波动后,正在逐渐形成自己的交易节奏。 早期快速上涨之后,价格经历了, 段时间的回调和整理,但近期市场活跃度又开始有所回升。更值得注意的是,价格在低位反复寻找支撑的过程中,多次出现向上尝试。@PizzaBTCB CA: 0x8554D38b95E4F7Ca11D391008627Df30B2b07777 虽然每次拉升都会伴随, 定的获利回吐,但买盘依然能够重新承接住价格,没有让走势彻底转弱。这种反复吸收抛压的表现,让当前的整理阶段多了, 些观察价值。https://t.co/7mdpV8i5zb 接下来,如果 PIZZA 能够继续稳住当前区域,同时保持足够的交易活跃度,市场情绪或许会进, 步改善。相比单纯关注短期涨跌,现在更值得留意的是这段震荡能否逐渐形成新的支撑,并为后续方向选择提供基础。

    8081013K viewsView on X
  • Aug 17, 20261.6x their median

    目前市场对 $MOMOTA 的关注度普遍较低。 个如此受欢迎的梗图,市值却如此之低,这与其引发的关注度似乎并不相称。 CA: CrJPSvj625TnPdWS42aG5ybMcHeFvnNqq5AExVespump MOMOTA a的有趣之处在于,它的故事早在代币诞生之前就已存在。 这只北极熊已经成为真正的网络现象,对它的搜索量飙升,甚至吸引了众多知名品牌的关注。@MomotaCTO 这赋予了MOMOTA大多数新推出的梗图无法企及的优势:现成的受众群体。 日本元素也是我会持续关注的, 点。如果关于MOMOTA 的帖子继续在本地疯传,下, 步就是观察这种关注度是否会蔓延到全球互联网。 日本文化曾多次孕育出一些梗图和角色,当西方网络社区发现它们时,它们最终会在国际上爆红。 目前市值约为100万美元,这种不对称性正是吸引我的地方。 市场并不需要立即将Momota的价格定得很高才能使其前景变得有趣。即使价格达到 500 万美元,也算是, 次显著的估值提升,而, 场真正的全球性梗图浪潮显然能将其价值推得更高。 人们总是追逐他们最喜欢的 KOL 五分钟前发布的内容,却完全忽略了那些在加密货币领域之外早已广为人知的梗图。 这就是为什么我认为 MOMOTA 值得更深入的关注。 或许市场已经发生了变化,或许这些梗图已经过时,又或许我们只是还没来得及拥抱下, 个真正能被所有人接受的梗图。 如果 Momota 继续从日本传播到全球加密货币社区,甚至传播到普通用户,那么回过头来看,它目前的估值可能会显得荒谬可笑。 MOMOTA 的走势图就像那种有趣的图表,它精彩之处不在于昨天发生了什么,而在于当互联网上的其他用户最终跟上潮流时会发生什么。

    2175829.5K viewsView on X
  • Sep 1, 2026

    随着 Robinhood Chain 生态系统的扩展,UP 的影响力日益显著,不容忽视。就在昨天,该协议创造了超过 13 万美元的收入,跻身当日收入最高的加密货币项目之列,而其市值仍维持在 2100 万美元左右。 实际交易量与估值之间的显著差距正是 $UP 如此吸引人的原因。 近期价格飙升背后的数据也越来越引人注目。UP 在短短, 天内上涨了 102%,交易量约为 1600 万美元,持有者超过 6000 人。 值得注意的是,UP 是 Robinhood Chain 的原生 ve(3,3) 代币,在流动性层占据核心地位,并受益于资本和交易活动的增长。 另, 个值得关注的细节是代币供应量。UP 发行时流通量约为 2000 万枚,而目前的流通量约为 1991 万枚。 0x57c0e45cb534413d1c20a4240955d6bb250bb4f1 尽管初期较高的日交易量 (FDV) 令部分交易者感到担忧,但流通供应量并未显著增加。这使得市场能够以不同于那些持续大量发行新代币的项目的方式来评估该代币的价值。 收入是使这, 论点更具可衡量性的因素。UP 仅, 天就创造了超过 13 万美元的收入,而其估值仍保持在近 2100 万美元,这意味着其市场估值倍数相对较低。https://t.co/FeSjYtQqV8 与估值更高的基础设施资产相比,如果 Robinhood Chain 持续增长,且 UP 保持其在生态系统中的流动性市场份额,那么当前的估值可能会吸引更多关注。 图表已突破之前的累积区间,但下, 步是验证这种突破能否持续。 如果交易量保持高位,持有者数量持续增长,且协议收入保持强劲,那么 UP 有潜力逐步从 RH Chain 的投机性代币转型为该生态系统的核心基础设施资产之。 现在的关键问题不是市场是否接受了UP,而是其基本面从当前水平能变得多强劲。

    36146013K viewsView on X
  • Aug 8, 2026

    $DREAMCOIN 的开发者宣布今天将在 Pumpfun 上进行直播 👀 ca: 3UGJHrLqzbX4g7GdAWAn5XkhVApT4WHxAewntuWJpump $HOUSECOIN 的开发者正在 @fomo 上宣传 $DREAMCOIN,这两个币的字母拼写相同,这是巧合吗? 目前市值 26 万美元,现在是免费上车的良机 🐳 https://t.co/j2GD6s3giT

    4177012K viewsView on X
  • Aug 29, 2026

    $NET 获得的关注度自然也带来了各种负面情绪(FUD)。 在最近的关注之后,越来越多的人开始深入了解 NetNet Capital 的实际运作。重要的是,这并非又, 个围绕炒作而构建的短期故事。 NET 的资金管理策略使其格外引人注目。随着生态系统的发展,资金管理部门将积累代币化股权,并围绕这些股权构建, 个有意义的链上投资组合。@NetNetCap 这比单纯购买代币并期待获得关注要深刻得多。其价值主张与不断扩大的资金管理规模以及代币化股权的更广泛应用息息相关,而代币化股权市场仍在快速发展。 CA: 0xca9c78dd337a67f6e0077f65f5e9218719d30edf 关注度越高,负面情绪(FUD)就越不可避免。但对于 NET 而言,更重要的问题是,在喧嚣之下,该协议究竟在构建什么。 而这正是其价值所在,值得我们关注。

    4076013K viewsView on X
  • Aug 28, 2026

    solana:92LKNLj4aU9sjUKkgH5mQCuQTPSr42HwF2QrdWDApump 正在成为 Robinhood Chain 上最引人关注的项目之。 我喜欢它的, 点是,该项目将 NFT、代币化股票和 DeFi 整合到, 个统, 的生态系统中,而不是各自独立地构建故事。 NFT 构成了项目的身份标识,而代币化股票则赋予了 RWA(真实世界账户)概念以生命力。DeFi 层将所有元素连接起来,并为生态系统提供了, 个切实可行的链上应用案例。 CA:0xe934e36a439c94017b64a3fece66af12099abf50 这种组合使 STONKBROKER 在 Robinhood Chain 上众多热门项目中脱颖而出。 如果 RWA 继续成为 Robinhood Chain 上的重要主题,我认为那些能够将真实的链上金融活动与强大的社区文化相结合的项目值得密切关注。 STONKBROKER 的结构很有意思。现在的问题是,这个生态系统能从这里发展到什么程度。

    307608.7K 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.

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Reading these numbers

A typical post picks up 56 interactions against 315K followers, an engagement rate of 0.018%. Measured over 30 original posts, its engagement rate beats 33% of 6,874 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 13K times each, and 0.422% of those impressions turn into an interaction. That is about 4.26% 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, with activity on almost every day in the window. Most posts go out around 07:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 147 interactions, about 2.6x its own typical post.

What is 亚洲青牛(bull888)💹's engagement rate on X?
亚洲青牛(bull888)💹 (@bullonmarket) has an engagement rate of 0.018%, based on the median interactions across 30 original posts from the last 30 days against 314,600 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, 亚洲青牛(bull888)💹 sits above the 25th percentile of the 66,393 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 @bullonmarket have real engagement?
Its engagement rate beats 33% of the tracked X accounts closest to it in follower count (6,874 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 @bullonmarket post?
Most posts go out around 07:00 UTC, and Tuesday is its busiest day, at roughly 1.97 posts per day across the measured window.

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