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pandaWL engagement report

@dajingou1 - 92K followers on X

Measured over 39 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Middle of its size range
Per follower
0.124%
of 92K followers
Per impression
0.234%
52K views on a typical post
Reach
53.1%
of its followers see a post
Typical post
121
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.13/day
active 63% of days
Peak time
06:00 UTC
Sunday

A typical post picks up 121 interactions against 92K followers, an engagement rate of 0.124%. Measured over 39 original posts, its engagement rate beats 55% of 21,624 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 52K times each, and 0.234% of those impressions turn into an interaction. That is about 55.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 39 posts sampled, 100% carry an image or video, 10% are part of a thread and 28% link out. The account's strongest tracked post pulled 6.0K interactions, about 50x its own typical post.

Measured over 39 original posts from a 30-day window, last computed on October 10, 2026.

Compared with accounts its own size

pandaWL's engagement rate beats 55% of the tracked X accounts closest to it in follower count (21,624 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 12% 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 0.124%, pandaWL sits above the 25th percentile of the 218,826 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.

p100.004%
p250.025%
p50 (median)0.149%
p750.706%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,826 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,715 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 percentile0.025%
50th percentile0.149%
75th percentile0.706%
90th percentile2.63%
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 06:00 UTC, and Sunday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 link28% 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.
  • 28% 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 575 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

  • Oct 7, 202650x their median

    We just hit 20,000. Thank you! Whitelist reviews are ongoing, so keep an eye on the checker for your status. 🟨 We’ll have a lot more to share about Fungo Launchpad very soon. We’re just getting started. https://t.co/yOPzV5lBgQ

    2.9K1.3K1.6K11967K viewsView on X
  • Jun 20, 202610x their median

    《收割华尔街,10张“20倍”暗牌的底牌拆解”-寻股策略指南》 散户在美股做微盘,就像在毫无保护的情况下裸冲高杠杆的合约——满眼都是20倍的贪婪,却看不见头顶悬着的清算热力图。 在这个市值不到10亿美金的修罗场里,看市盈率(P/E)和财报纯粹是自欺欺人。 真正具备20倍爆炸潜力的标的,本质上是一张没有到期日的虚值期权。 它们的暴涨从来不靠业绩的线性增长, 而是依赖三大底层逻辑的共振:流动性枯竭后的Gamma逼空、宏观算力/能源的物理资产化映射,以及纯粹的二元事件驱动(FDA/军工订单)。 如果你还在按传统估值模型选股,你就是流动性提款机。 以下是当前处于资金暗流交汇处的10个高弹性标的,按顶级游资的分类逻辑进行降维拆解。 一、 算力与能源的“物理化 RWA”映射 AI的尽头是电力,而美股微盘里的电力和矿企,本质上就是传统金融市场里的算力RWA资产。 当英伟达和甲骨文(Oracle)等巨头的期权链结构固化后,热钱必然向下寻找高杠杆的替代品。 1. CIFR • 高维逻辑: 曾经的比特币挖矿纯打野选手,正在全面向HPC(高性能计算)和AI数据中心转型。它的核心资产不是机器,而是那些签署在电网底部的廉价长期购电协议。 当数据中心电荒加剧,CIFR的电力储备就是最硬的通缩资产。 2. IREN • 高维逻辑: 相比于大盘的巨头,IREN的市值极小且对AI算力需求的敏感度极高。这种标的就像是自带高倍杠杆的现货,一旦宏观降息释放流动性,资金涌入基础设施赛道,它的戴维斯双击会极其暴烈。 3. OKLO (Oklo Inc.) • 高维逻辑: 纯粹的SMR(微型核反应堆)叙事龙头。 目前零营收,完全靠“AI需要核电”的宏大叙事和OpenAI创始人的光环支撑。这是一家你不能用基本面去衡量,只能用资金费率和持仓量逻辑去交易的标的。 二、 流动性黑洞与 Gamma 逼空阵区 这类标的常年被机构重度做空,盘口极轻。它们不需要基本面变好,只需要让做空机构“觉得痛”。 当做市商为了对冲Delta而被迫疯狂买入正股时,就是烟花绽放的时刻。 4. SOUN (SoundHound AI) • 高维逻辑: 边缘AI语音概念。空头头寸极大,同时又时不时有英伟达持股的利好刺激。它的价格走势就是一张清算热力图——每次跌穿关键支撑位洗盘后,稍微一点火星就能引发连环爆仓,向上拉升的速度极快。 5. BBAI (https://t.co/YcNR7U7JHr) • 高维逻辑: Palantir的影子股,主打军工与防务AI。由于其极低的流通盘和高度集中的筹码,BBAI是期权玩家最爱的战场。只要拿到一个中型国防部订单,就能瞬间引爆Gamma Squeeze(伽马逼空)。 6. NNOX (Nano-X Imaging) • 高维逻辑: AI医疗影像赛道。长期在“颠覆医疗”和“可能破产”之间横跳。被做空比例极高,一旦其冷阴极X射线技术获得大规模商业化验证,空头踩踏的血腥程度将是史诗级的。 三、 绝对的二元期权:零或无限 这种标的胜率可能不到20%,但盈亏比极高。 要么拿到政府批文/临床数据一飞冲天,要么原地归零。交易它们,本质上是配置一个极小仓位的彩票库。 7. LUNR (Intuitive Machines) • 高维逻辑: 月球物流运输。 这是被美国国家机器绑定的航天微盘股。 每次NASA的合同竞标都是一次生死轮盘赌,这种非对称博弈只适合在事件真空期潜伏,绝不能在靴子落地时追高。 8. ACHR (Archer Aviation) • 高维逻辑: eVTOL(电动垂直起降飞行器)龙头之一。 它的催化剂极其明确——FAA(美国联邦航空管理局)的最终适航认证。这是一个纯粹的监管二元博弈。 9. QBTS (D-Wave Quantum) • 高维逻辑: 量子退火计算领域的先驱。相比于市值已经膨胀的同类,QBTS盘子极小。量子计算目前还在“炼金术”阶段,它不需要盈利,只需要一个类似“突破量子霸权”的PR稿,就能让市值重估10倍。 10. SAVA (Cassava Sciences) • 高维逻辑: 阿尔茨海默症药物研发。 这是Biotech领域最臭名昭著、也最令人血脉贲张的标的。数据造假争议与奇迹疗法交织,三期临床数据的盲盒一旦打开,不是直奔天堂就是深陷地狱。

    1.0K31281111.4M viewsView on X
  • Sep 22, 20262.7x their median

    平时既看美股又看加密,我最有感触的一点是:市场之间的联系越来越紧,做交易却还是得在不同平台来回切。 这次合作了解的 @JGZ Chinese 和它的平台代币 JT,让我比较想展开聊聊“交易挖矿”这个方向。 项目入口:https://t.co/RHJyaswguG 对交易者来说,一笔单子做完,盈亏看得见,手续费也实实在在扣掉了。 所以看到交易挖矿,我首先关心的就是:日常交易参与,能不能和平台权益建立联系?具体怎么计算、怎么发放,值不值得参与? JT 是 JGZ 基于 BNB Chain 建设的平台代币,交易挖矿是它的主要设计方向之一,另外还包括质押和生态权益。 理解它,得先看背后的平台能提供什么。 按项目资料,JGZ 的产品覆盖加密货币、美股代币、贵金属及大宗期货,并提供现货、合约和量化相关工具。 这个组合对关注宏观的人比较好理解:同一个利率变化,可能同时影响黄金、美股和 BTC。 如果能在一个平台里找到相关交易产品,研究完行情之后,执行起来会方便不少。 另一个值得关注的点是,JGZ 介绍其对接了币安市场流动性。 经常交易的人应该懂,挂出来的价格是一回事,实际能以什么价格成交又是另一回事。 流动性接入有助于交易执行,具体点差、滑点和成交表现,还是要结合交易品种和行情来看。 也正因为有这些交易业务,JT 的交易挖矿才有了具体的讨论场景:用户参与平台交易,平台再通过代币机制连接用户与生态。 后续能不能留住交易者,要看规则是否清楚、权益是否有用,以及产品本身用起来怎么样。 我的看法是,先把交易挖矿规则研究明白,再判断是否适合自己的交易习惯。 原本就有交易需求,可以把费用和对应权益放在一起算;为了挖矿额外增加交易,反而可能得不偿失。 对多市场交易、量化工具或者平台代币感兴趣的,可以先看看 JT。 具体参与条件、开放安排和权益,以官方正式规则为准。 #JT #Web3 #JGZ

    2574660110K viewsView on X
  • Sep 19, 20261.7x their median

    抽奖活动 ——— 🐱 一只 Zcash 上的原生猫咪 @Zeccatnft 🎁 3 GTD + 8 FCFS WL 总量:3333 个 ZecCat 是 Zcash 主网上的第一批猫咪 NFT ,走 ZRC-721 JSON 铭文 ,不是跨链包装,是直接长在 Zcash 上的 , 官方也说过,后面会做独立 Vault、自己的市场,以及持有者权益 猫看起来可爱,后面其实还想把生态一起搭起来 — 参与抽奖: 1⃣关注 @Zeccatnft 和 @dajingou1 2⃣点赞即可 (转发加成) 3⃣留下你的主网 t1 透明地址 ⏰ 48 小时后开奖 想冲白名单的,也可以去官网提交申请 祝大家都能领到一只猫 🐈‍⬛ #Zcash #ZEC #NFT #ZecCat

    8040850111K viewsView on X
  • Sep 19, 2026

    ZecVisions 白名单抽奖|20 个 GTD 名额 🎁 如果把一台 2003 年的电脑桌面,搬进 2026 年的 Zcash 生态,会是什么样? @zecvisions 正在用复古电脑美学,探索隐私 NFT 的另一种表达。 熟悉的旧时代界面,搭配 Zcash 的隐私叙事,项目想呈现一个有意思的理念:你可以欣赏作品,但不必知道屏幕背后的收藏者是谁。 喜欢这种复古风格的朋友,机会来了——我给大家争取到了 20 个 GTD 白名单!🐼 🏆 奖励:20 个 GTD 白名单 ⏰ 开奖:本条推文发布 12 小时后 参与方式: 1️⃣ 关注 @zecvisions 和 @dajingou1 2️⃣ 点赞并转发本条推文 3️⃣ 前往 https://t.co/nm3Bf5vMMh 完成申请 4️⃣ 评论区留下以 u1 开头的 ZEC 钱包地址 复古桌面已经亮起,等你入场。🖥️

    1021564035K viewsView on X
  • Sep 26, 2026

    在外面混了这么久,今天终于靠收到的礼物,给自己在家里刷了一波好感😂 感谢 @yayabinance @0xsandy1913 @BNBCHAINZH ,这次的快乐直接安排到了我们一家三口。 丫丫老师送的鞋,我填尺码的时候就留了个心眼,填的是我媳妇的码,哈哈哈。 她收到后很喜欢,我也跟着高兴,借老师的心意,给自己挣点家庭表现分。 Sandy老师送的球拍也很受欢迎,虽然我到现在都没搞明白这到底是什么球拍,但完全不影响我儿子上手。 他拿着球追了我半天,非让我陪他打,平时盯盘都没这么高强度,今天倒是把运动量补上了😂 好在小家伙终于玩累了,准备睡觉,我才有空坐下来写几句感谢。 平时大家在网上聊行情、聊项目,隔着屏幕各忙各的,收到礼物的时候,才会很具体地感受到这份惦记。 媳妇多了一双喜欢的鞋,儿子多了个拉着爸爸玩的理由,我也多了一段被追着满屋跑的家庭日常。 礼物我负责收,快乐全家一起分。谢谢各位老师,心意收到,家庭地位也跟着沾光了哈哈哈❤️

    84193058K viewsView on X
  • Sep 12, 2026

    熊猫社区福利:抽10人,每人10U(68RMB)! 这次联合 Hyperliquid 生态的 @midasmarketsxyz,给愿意和我一起尝试 Midas 的朋友安排一波福利👇 🔗 注册入口:https://t.co/G1dSi12oGs 参与方式: ① 关注@midasmarketsxyz和@dajingou1 ② 通过上方我的专属邀请链接注册 ③ 在 Midas 完成至少1笔交易,引用并发布一条推文展示你的 Midas 交易和平台使用体验比如pnl 🎉 从完成任务的朋友中抽取10人,每人获得10U,奖励发放至对应的 Midas 账户。 为什么想带大家体验一下 Midas? 它主打原生 AI 交易体验和 Agentic 交易,这会是未来交易的一大方向。另外,使用平台还能累积积分,未来也计划增加更多兑换选项。除了交易本身,这套奖励机制也是我比较关注的地方。 感兴趣的朋友可以从小额体验开始,熟悉操作和交易成本,量力参与。 如果这次反响好,我每周做一次,奖池继续叠加。

    741861255K viewsView on X
  • Sep 23, 2026

    感谢 OKX 的邀请!🖤 很遗憾这次因个人安排,没法到新加坡参加 OKX Now。 预祝活动圆满成功,期待大家的现场分享,也希望下次有机会和新老朋友相聚!🐼 https://t.co/sul9x7R6Tb

    340137044K viewsView on X
  • Sep 25, 2026

    有一种惊喜,是你随口说的话,被别人认真记住了🥹 前两天在条子哥的推文下开玩笑说了句“给我尝一个”,没想到 @0xAstra 老师直接私聊,给我安排上了华尔道夫酒店的月饼 月饼确实高级,但更让人开心的是这份回应:一句玩笑话,居然真的变成了送到手里的心意。 谢谢 Astra 老师的宠粉,也感谢一路照顾、帮助绵子的朋友们。被大家惦记着,真的很幸福。 祝大家中秋有人惦记,平时有人撑腰,月满人团圆,钱包也满满

    491114050K viewsView on X
  • Oct 9, 2026

    美股上链之后,资产还能怎么用?这是我关注 Ondo Perps 的原因。 @OndoPerps 把股票永续交易与代币化资产抵押结合起来,这个方向值得认真研究。 👉 我的邀请入口,点击了解: https://t.co/8FmLh2jSPR ━━━━━━━━━━━━━━ ① 美股上链,正在从“持有”延伸到“管理” 我平时看美股和宏观,经常遇到一个问题:长期看好某个方向,但短期又担心财报、利率预期或突发消息带来的波动。 继续持有,就需要承受回撤;全部卖出,又可能打乱原来的投资计划。 这时,能否灵活调整敞口、进行对冲,就显得很重要。 Ondo Perps 官网介绍的产品方向,包括全天候股票永续交易、代币化股票抵押,以及在同一平台管理现货与永续仓位。 它尝试让链上资产拥有更多使用场景。 ② 我更关注的,是抵押品的变化 过去讨论交易平台,大家经常先看支持什么标的、能开多少倍杠杆。 但我觉得,什么资产能成为保证金,同样影响资金的使用方式。 假设你持有符合要求的代币化股票,如果可以直接将它作为抵押品,就可能减少另外准备稳定币的需求,让持仓与交易之间的资金安排更灵活。 不过,这种灵活性也伴随着风险:抵押品自身会波动。 如果抵押品下跌,同时合约仓位亏损,保证金空间可能受到双重挤压。 所以,理解抵押折扣和清算机制,是使用这类工具的前提。 ③ 全天候交易的价值,要看实际执行 宏观消息不会只在美股开盘时出现。更多交易时间,意味着更多调整仓位的窗口。 但真正决定体验的,是传统市场休市期间如何定价、盘口有没有足够深度,以及下单时的滑点和持仓成本。 能交易只是起点,能否以合理成本完成交易,才决定工具有没有长期价值。 这也是我观察 Ondo Perps 的重点:价格跟踪、流动性、资金费率,以及市场剧烈波动时的执行表现。 ━━━━━━━━━━━━━━ 在我看来,RWA更值得期待的进展,是资产上链后,进一步参与抵押、交易与风险管理。 Ondo Perps 正在尝试连接这些环节。它能否留住用户,最终要靠产品体验、交易成本和透明的风险规则来证明。

    74083011K 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 121 interactions against 92K followers, an engagement rate of 0.124%. Measured over 39 original posts, its engagement rate beats 55% of 21,624 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 52K times each, and 0.234% of those impressions turn into an interaction. That is about 55.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 39 posts sampled, 100% carry an image or video, 10% are part of a thread and 28% link out. The account's strongest tracked post pulled 6.0K interactions, about 50x its own typical post.

What is pandaWL's engagement rate on X?
pandaWL (@dajingou1) has an engagement rate of 0.124%, based on the median interactions across 39 original posts from the last 30 days against 92,374 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.124%, pandaWL sits above the 25th percentile of the 218,826 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 @dajingou1 have real engagement?
Its engagement rate beats 55% of the tracked X accounts closest to it in follower count (21,624 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 @dajingou1 post?
Most posts go out around 06:00 UTC, and Sunday is its busiest day, at roughly 2.13 posts per day across the measured window.

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