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龙猫·liaoblove engagement report

@liaoblove520 - 59K followers on X

Measured over 22 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Middle of its size range
Per follower
0.206%
of 59K followers
Per impression
1.01%
13K views on a typical post
Reach
20.4%
of its followers see a post
Typical post
127
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.87/day
active 57% of days
Peak time
12:00 UTC
Thursday

A typical post picks up 127 interactions against 59K followers, an engagement rate of 0.206%. Measured over 22 original posts, its engagement rate beats 59% of 20,183 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 1.01% of those impressions turn into an interaction. That is about 21.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 22 posts sampled, 86% carry an image or video, 23% are part of a thread and 27% link out. The account's strongest tracked post pulled 226 interactions, about 1.8x its own typical post.

Measured over 22 original posts from a 30-day window, last computed on September 28, 2026.

Compared with accounts its own size

龙猫·liaoblove's engagement rate beats 59% of the tracked X accounts closest to it in follower count (20,183 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 37% 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 0.206%, 龙猫·liaoblove sits above the 50th percentile of the 202,956 accounts in this comparison. That places it in the above the median band, which runs 0.142% to 0.674%.

p100.004%
p250.024%
p50 (median)0.142%
p750.674%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,913 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 percentile0.004%
25th percentile0.024%
50th percentile0.142%
75th percentile0.674%
90th percentile2.54%
99th percentile82.5%

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 12:00 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.

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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video86% of posts+111%+108% to +115%34K
Outbound link27% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 86% 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.
  • 27% 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 385 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

  • Sep 11, 20261.8x their median

    早上社区小伙伴按头让我撸这个白单。 @RareFriendsNFT 看到 Doodles 联合创始人 @poopie 联合创始人在推。 总量1024,freemint。整个生态的核心NFT,通缩,可兑成 $RAREFRIEND 。 现在NFT市场好,不要错过,干就完事。 来做任务拿白: https://t.co/hls7zJQeFL https://t.co/3cqMG0TGTC

    961128121K viewsView on X
  • Sep 24, 20261.5x their median

    Axis 公售超了。 104.85%,1207 个人,104 万 USDC(13:47 SGT)。官网那行字都换了,本来是还差多少,现在写按比例配售。 压过 100 万那一下,是一笔 8 万美元的单子,中午 12:55 打进来的。之前面板还在 96.6%。 今天其他 82 笔加起来才 2.5 万,一笔顶八十几笔。 前三天本来是人越来越多、单越来越小,平均每笔从 2,311 掉到 336。 3 个人顶满了 10 万的上限,1 万以上的统共 16 笔,吃掉总金额三分之二。 今早这笔 8 万说明大钱没进完,是有人在等。 我猜等的是满额线附近——确定能满,进度条又还没写成超募。他并不比别人拿得更多,只是在赌整轮别被冲太深。现在已经超了 5%,这步棋的时机过了。 往后四天超得越多缩得越狠,这个大家都会算,不多说。 这轮统共只募 100 万。7 月那轮种子融了 1200 万,社区轮是它的十二分之一。 所以对项目方来说,这不是一笔融资,是一千两百个人。 对你来说花的也不是钱,一百来块谁都出得起。花的是一个 KYC,和把钱放一年——TGE 当天只解 10%,剩下 90% 先锁 6 个月再用 6 个月放完,而公售结束到 TGE 中间还隔着一段,日期另说。 那 3 个顶满 10 万的也一样。他们 TGE 当天能动的就 1 万,剩下九万跟你一起锁着。 所以配到六成还是五成,真不重要。这轮的解锁节奏摆在那,筛的就是愿意拿一年的人。 我参加的 @axisrobotics 的 Kaito Studio 创作者活动,任务入口和 Sale 不是同一个,嘴撸继续干。 传送门:https://t.co/lbL1jtNUS2

    91010007.1K viewsView on X
  • Sep 24, 2026

    AI Agent 自己管钱以后,最不能接受的就是一笔交易停在“好像成功了” 人还能查浏览器、找客服、手动重试,机器必须马上知道资金在哪里、交易有没有完成、失败后该执行哪一步 @WireNetwork 的通用交易层正好解决这个痛点。它统一处理跨链里的所有权、执行与结算,让原生资产留在各自链上,同时把交易结果变成机器能够明确读取的状态 钱包只能解决签名,自动化金融还需要有人把签完之后的结果处理干净 这也是 Wire 把 AI Agent 放进核心叙事里的实际原因 AI Agent 这条基础设施还在起跑线,$WIRE Pre-Token 现在就能参与:https://t.co/cT7AKB3llh

    79010106.6K viewsView on X
  • Sep 14, 2026

    机器人在实验室的标准考试里能考90多分。把桌上的物体换一个,或者挪个位置,成绩掉到0。 这是 LIBERO-PRO 那篇论文做的实验(arXiv:2510.03827)。目标物体换掉了,机械臂照样伸向原来那个位置去抓,指令改成一句没意义的乱码,它做出来的动作一模一样。 它记住的是这张桌子长什么样、手该按什么顺序动。换张桌子就不认得了,论文标题后半句写着 Beyond Memorization。 要让它真学会,得有人一遍遍做给它看。 @axisrobotics 干的就是这件事:普通人在浏览器里遥控机械臂,把任务做一遍,做成的就进训练数据。 7月18号它上了50个任务,名字统一以 LIBERO Pro 开头,等于照着上面那套考卷出的题。8月25号又加了100个。 一句任务说明,比如打开微波炉把苹果放进去,会拆成四个任务挂出来,说明一个字不改,每个收 300 条。我拉的时候凑齐四个的有 167 组。 说明一样,变的就是场景。 这些任务 92% 都要把东西拿起来。需要插进去的 3697 个里只有 23 个。 我拉数据那会,全平台开着 13 个任务,7 个是往篮子里放黄油。区别只在于陪黄油进篮子的是番茄酱、烧烤酱、橙汁还是巧克力布丁。 两个半小时后我再看,那 7 个全满了,关了。 变多少遍才算真会了,没人说过。 数法和链接放回复。

    89065014K viewsView on X
  • Sep 15, 2026

    币安专区的人均交了 83.8 条数据,主站那边是 25.8 条。 @axisrobotics 和币安 Keyless 钱包的专属活动,3428 个人交了 287315 条轨迹。主站那边 21.2 万人、548 万条。 主站那 21 万里有大把点开一次就走的,所以这两个数比的是谁更肯干。 门槛卡在钱包上。必须是币安 App 里生成的 Keyless(MPC)钱包,导入助记词的那种做不了任务。 这挡不住所有人,一个币安账号能开 5 个 Keyless 钱包。不过顶格就 5 个,比只认地址强,后面好歹挂着一个真账号。 Axis 为这个活动拿出 150 万点。它的点数到现在一共发出去 1751.9 万,这一个活动就占了已发总量的 8.6%。 用这些点换一批过了筛子、还肯干三倍的人。不亏。 真要参加,得用电脑。币安钱包插件连 Hub,进币安专属页,手机基本只能签。 任务是限量放的,我今天上午看了两次,专区都是空的,得等放出来抢。 只有专属页里的任务算进这 150 万,主站普通任务不算。每个任务最多交 5 条。 交完等评分,最长 48 小时,Pending 变成 Ready to Sign,然后去 Portfolio 在 Base 上签掉。签完不用管,点数在周期结束后自动到账。 活动分两期。第一期8月26号到9月9号已经结算完,现在是第二期,任务9月23日 06:00 UTC 停,签名接到9月25日 06:00 UTC。

    86067016K viewsView on X
  • Sep 22, 2026

    平台币最难回答的问题是钱从哪来,多数项目的答案是以后会有用,JT 给的是一条能一段段拆开看的链路。 末端是回购。JGZ 平台的手续费盈余全额注入回购资金池,池子深度、实时币价和地板价三个数共同决定每天挖出多少 JT。币价涨上去,产出自动减少;币价在低位,产出才放开。官方叫它超额回购托底加动态产量,说白了是不让产出在高位砸自己。 前端才是关键,手续费得有人交。 JGZ 做的是多元资产加量化工具,加密、美股代币、贵金属、大宗期货都能交易,策略那边有现货量化、合约量化、马丁格尔、波段马丁和趋势跟踪。做量化的人最怕的不是行情,是自己的单子打不出去——深度不够,回测跑得再漂亮,实盘也会被滑点吃掉。 所以流动性从哪来,对这类高频出入的用户是硬指标。按白皮书的说法,JGZ 走的是券商模式接入币安的市场流动性,称为 ND Broker,把底层流动性和上层策略系统拼在一起,具体安排以平台说明为准。 回到 JT。总量 100 亿,70 亿、也就是 70% 分给交易挖矿。这个比例本身就说明了它想把币发给谁:在平台上真交易的人。剩下早期投资者和创始团队各 10%,生态基金和募资轮各 5%。 再往后的部分是规划。质押者在销毁达到阈值后拿到平台合伙人身份、参与营运收入分成,以及 JT 作为 AI 智能体调用的消耗媒介,这两块的规则和时间都还没公布,以官方为准。官网里程碑写的是 2026 下半年跟量化团队合作、搭 AI Agent 的量化平台。 这套机制转不转得起来,最后看手续费收不收得上来。这点比纯叙事的项目好判断,业务量是能观察的。 官网:https://t.co/hAl13Ijq0a @JGZ_Chinese #JT #Web3 #JGZ

    72177015K viewsView on X
  • Sep 17, 2026

    Axis 现在有三条围绕 $AXIS 的路径:拿 USDC 认购、做任务攒 Points 等空投规则、做内容争 Kaito 奖励。 三条路互不通用。 9月15号公布的 Community Sale,$AXIS 固定 0.10 美元,按 1 亿美元 FDV 卖 1000 万枚,占总供应 1%,募资 100 万美元。 公开规则没有给历史任务、Trajectories 或 Axis Points 任何加权。完成 KYC/KYB 后,每个实体可投入 100 到 10 万 USDC。超募按同一个比例缩,不是谁先抢到算谁的。 做任务走的是另一套。Points 文档只说,未来 Community Contributor Airdrop 会把 Points 当成一个输入。资格、额度、兑换比例和发放时间都还没定,持有 Points 也不保证能拿到。 Kaito 创作者计划是第三套。官方推特写的整场活动池是总供应 0.25%:前 500 名创作者合计 0.20%,另 0.05% 给 Kaito 质押者。 计分是 Kaito Mindshare × Axis 推荐倍数。这是内容奖励,和 Sale、Points 空投都不共用额度。 解锁结构也挺关键。社区轮卖的是总供应 1%,TGE 只解其中 10%,也就是这轮在 TGE 放出来的只有总供应 0.1%。 随后先锁 6 个月,剩余 90% 再用 6 个月线性释放。TGE 日期还没公布,这个锁仓时钟并不是从9月28号 Sale 结束那天开始走。 Sale 回答资金怎么进来。贡献怎么换成代币,还得等空投规则。写内容走的是 Kaito 自己的排名和领奖窗口。 @axisrobotics

    53095013K viewsView on X
  • Sep 18, 2026

    TermiX 上已经有 BNB 网格按 7、30、90 天提供交易服务了。 我看的是 Grid Agent by 4lpha,交易 WBNB/USDC,只做现货,不加杠杆。最低本金 10 USDC,管理费每年 1%,当前版本不收业绩提成,交易手续费和 gas 另算。 我觉得这对会写策略的人更有吸引力。自己把脚本做成对外服务,除了交易逻辑,还得找客户、处理授权、收费和展示业绩。Quant 把这些放进了同一个市场,也留了申请上架策略的入口。 用户能直接看策略、选期限,再决定是否授权。写策略的人也多了一条收管理费的路,不用只靠自己投入本金来赚交易收益。 Quant 给每项任务单独建一个钱包,本金由用户控制。Agent 能调用哪些合约、每天能动用多少、授权什么时候到期,都有限制,没有提现权,用户也可以撤销授权。管理费另外走托管。 客户下一次还愿不愿意付费,得看它实际跑得怎么样。 策略页放了同期持有 BNB 的对照曲线。扣掉费用后,这些买卖有没有比拿着 BNB 多赚,才是我会继续看的。 在 https://t.co/HTXZO0lqK0 的 Quant 里找 Grid Agent by 4lpha,收益读法放回复。 @termix_ai

    84053013K viewsView on X
  • Sep 20, 2026

    一级市场上,Anthropic 比 OpenAI 贵 13%。MEXC 的 Pre-IPO 合约上,这个差距是 35%。 Anthropic 5月那轮融了 650 亿美元,投后估值 9650 亿。OpenAI 8 月做完 70 亿美元的员工要约,估值 8520 亿,跟它 3 月那轮一个价。 今天合约这边 OpenAI 报 1539,Anthropic 2083。这两个数不能直接当估值看,但相除之后单位就没了:35% 对 13%,盘口把差距放大了将近 3 倍。 从5月底到今天,115天里 Anthropic 没有一天比 OpenAI 便宜过。 差距最大是8月25 号,1.66 倍。那半个月 Anthropic 从 1456 涨到 1963,OpenAI 还在 1180 上下趴着。9月反过来,OpenAI 半个月涨了 25%,Anthropic 只动了 6%,收回到 1.35。 Anthropic 6月1号递了草案,外面传10月上市。OpenAI 6月8号递了保密版 S-1,但它的 CFO 8 月底跟员工说,2027 年才会成为上市公司。 所以这个盘口押的不是两家值多少钱,是谁先上、以什么价上。 这两个合约的资金费还是写死的,最近 100 期全是 0.005%,8 小时一次,一次没变过。一天收 3 次,折年化 5.475%。多单等到 2027 年,这笔就是两倍。 所以单边押谁涨,方向对了也得先把这 5.475% 挣回来。 赚这个差距本身是另一套算法。一边多一边空,两个合约的费率一模一样,等名义的两条腿,资金费自己就抵掉了,手续费又是 0,剩下的就是比值本身怎么走。 现在比值 1.353,115 天的中位数 1.304,区间在 1.19 到 1.66 之间,它排在这 115 天的第 65 位上下。不极端,也算不上便宜。 做反了的代价也是现成的。8月10号到25号那半个月,比值从 1.26 走到 1.66,涨了 32%。赌它收窄的那边,两条腿加起来就是这个量级的亏损,何况两条腿都带杠杆。 它们是 Pre-IPO Futures,USDT 结算的永续合约,不是股票,不给所有权,也不保证这两家一定上市、一定有额度。跟 Pre-IPO Launchpad 不是同一个产品。 杠杆顶格 50 倍,会爆仓,注意保护仓位!!! #MEXC0808 @MEXC

    63071015K viewsView on X
  • Sep 22, 2026

    BNB 上的猫已经多到记不住了,这只有点不一样。 招财猫在 PancakeSwap 上的交易对是 招财猫 / XAUt。不是配 BNB,也不是配 USDT,配的是 Tether Gold,池子的另一半就是实物黄金背书的代币。 所以持有猫拿黄金不是个口号,是它的结构本身。 官方 12 小时前说了累计给持有者发了 3.67 枚 XAUT。我按现价核了一遍,XAUT 一枚 4333 美元、对应一金衡盎司,3.67 枚就是 114 克黄金,约 15900 美元。 有意思的是这个比例,它现在 FDV 才 128 万美元,开盘到今天 15 天,派出去的黄金相当于市值的 1.2%。当然这东西跟着交易量走,量下来就没了。 叙事这块也有意思,招财猫举右爪招财、金色代表财富,这是几代人认下来的符号,中餐馆、商店、公司门口都摆着。链是中国人的链,猫是中国人的猫,这两件事凑一块儿比现造一个吉祥物顺得多。 今天还宣了跟 Bigrock 的合作,现货和永续已经上了,持有者在 11 月 25 日 TGE 前兑换还能拿 BRK。 盘子现在还很小,128 万 FDV、11 万流动性,波动会很大,自己掂量着。 CA:0x975faed559b45feb8a5c5ceb940e614302947777

    561166023K 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 127 interactions against 59K followers, an engagement rate of 0.206%. Measured over 22 original posts, its engagement rate beats 59% of 20,183 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 1.01% of those impressions turn into an interaction. That is about 21.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 22 posts sampled, 86% carry an image or video, 23% are part of a thread and 27% link out. The account's strongest tracked post pulled 226 interactions, about 1.8x its own typical post.

What is 龙猫·liaoblove's engagement rate on X?
龙猫·liaoblove (@liaoblove520) has an engagement rate of 0.206%, based on the median interactions across 22 original posts from the last 30 days against 59,480 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.206%, 龙猫·liaoblove sits above the 50th percentile of the 202,956 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 @liaoblove520 have real engagement?
Its engagement rate beats 59% of the tracked X accounts closest to it in follower count (20,183 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 @liaoblove520 post?
Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 1.87 posts per day across the measured window.

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