蜡币小鑫 engagement report
@zhuanfgghjnb - 146K followers on X
Measured over 31 original posts from a 30-day window, last computed on September 25, 2026.
Engagement
A typical post picks up 185 interactions against 146K followers, an engagement rate of 0.126%. Measured over 31 original posts, its engagement rate beats 58% of 20,444 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 19K times each, and 1% of those impressions turn into an interaction. That is about 12.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 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 Thursday is the busiest day of the week. Of the 31 posts sampled, 97% carry an image or video and 6% link out. The account's strongest tracked post pulled 4.1K interactions, about 22x its own typical post. Recurring topics include #bitget, #bitget八周年, #孙宇晨.
Measured over 31 original posts from a 30-day window, last computed on September 25, 2026. Recurring tags: #bitget, #bitget八周年, #孙宇晨.
Compared with accounts its own size
蜡币小鑫's engagement rate beats 58% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 41% 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 0.126%, 蜡币小鑫 sits above the 25th percentile of the 204,880 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 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 | -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 | 97% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 6% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 97% 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.
- 6% 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 489 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
- Jul 25, 202322x their median
突然收到老板@cz_binance 的关注，好激动啊! 只想用一句话表达此时的心情:我永远喜欢币安！ https://t.co/r6tDunnnfF
- Aug 24, 20266.9x their median
天才交易员，凉兮前女友萌小栖 另一个身份是OKX的大客户。我算了算，少说也爆仓1000多万了。 https://t.co/MP0UlnIzR2
- Aug 25, 20266.6x their median
天才交易员、凉兮前女友萌小栖。 一个真正从币圈死人堆里爬出来的女人。 抖音为数不多敢公开发OKX、币安，还不被封号的顶流。 别人爆仓，是账户流血。 她爆仓，是真的爆到流鼻血。 https://t.co/1LxRT4seuQ
- Aug 28, 20264.2x their median
凉兮才是孙哥门徒，欠萌小栖的钱不还，还吃人家小女孩190块肯德基。 孙哥不过是发起了仅退款。 邪恶的地球骗子# 天才交易员# 萌小栖# 凉兮 # 孙宇晨 https://t.co/Lf6xgFDi6M
- Sep 17, 20261.8x their median
凉兮女朋友萌小栖又亏了。 他们都在说取号排队，只有我在担心天才交易员最近累不累，有没有好好吃饭 https://t.co/Wbt9g8r4PJ
- Sep 3, 20261.8x their median
折起来的时候，告诉自己永远积极向上、永远意气风发,拼搏上进！ 打开的时候时刻提醒自己一定要踏踏实实、不要好高骛远! https://t.co/ouWpxVE3NW
- Aug 30, 20261.6x their median
NVDA 发布了财报之后，我在 @bitget 上又加仓了一些 MU，这次英伟达财报其实给了我一个挺有意思的信号。 大家都在看 NVDA 营收又超预期、AWS 再加 200 万颗 GPU，但我更关注一个细节：NVDA Q2 毛利率 75%，Q3 指引降到 74%，原因之一就是内存成本上涨。 这对 NVDA 是成本压力，但换个角度，对谁是利润？答案其实很明显—— MU 下面说说逻辑：AI 算力继续扩张，GPU 越堆越多，背后的 HBM、服务器内存需求也会同步增长。更重要的是，超大规模云厂商的资本开支还在往上走，意味着这轮 AI 基础设施投资暂时还看不到明显刹车的迹象。 所以我看 MU，不是简单的NVDA 涨了，MU 跟涨。 而是另一条更直接的逻辑：AI CapEx，也就是人工智能资本支出上涨导致HBM/服务器内存需求增多，所以内存价格会上涨，最后收益的内存巨头MU 盈利能力变得更强。 这也是为什么我觉得，现阶段 MU 的赔率可能比单纯追 AI 龙头更有意思。 当然，存储股最大的问题大家也都知道——周期 价格上涨的时候利润弹性非常大，但一旦供给开始增加、存储价格见顶，逻辑也会迅速反转。 所以我现在不会因为 NVDA 一份财报就去梭哈MU，而是会重点观察后面内存价格、MU 基本面和资金回流半导体板块这几个信号。 如果趋势确认，我会更愿意把 MU 当成这一轮 AI 基础设施行情里的一个补涨方向。 最近我自己看美股，也会直接用 Bitget 美股来做配置，最大的感受就是方便——发现机会以后直接交易，不需要再单独折腾传统券商。 Bitget在美股交易这一块真的给我这加密货币交易者提供了很好的平台，以后就在上面交易AI板块的美股了，另外最后补一句如果把AI 算力比做是台前，那么HBM 和存储是幕后。这次 NVDA 告诉市场 AI 还在继续烧钱，而我更想看看：这笔钱最后有多少会流进 MU 的口袋，也希望在 #bitget 买入的mu能够一飞冲天。
- Aug 28, 20261.5x their median
过去一段时间，只要谈到AI投资，大家最先想到的往往还是英伟达。 但我越来越觉得，如果只盯着一家芯片公司，我们看到的可能只是AI浪潮中最显眼的一部分。训练和运行AI模型，不仅需要GPU，还需要数据中心、电力、云端算力、高速数据传输，以及最终将AI带入现实世界的机器人。 换句话说，AI不是一家公司或一类芯片的故事，而是一场覆盖整条基础设施供应链的长期建设。这也是我开始关注 @reserveprotocol 的原因。下面我想说说Reserve到做了什么？ Reserve围绕去中心化代币基金，也就是DTF来构建产品和基础设施。它通过Ondo Globa Markets的代币化股票，将AI供应链中的不同公司组合成五个链上主题篮子，让符合资格的用户能够分别了解和接触AI建设的不同环节。而且我认为这次产品设计最值得关注的地方，不是简单地把股票搬到链上，而是把原本比较分散的AI基础设施主题，拆解成了五条更容易理解的投资方向。 1. AI Infrastructure（BUILDOUT） BUILDOUT覆盖相对完整的AI硬件和基础设施技术栈。如果把AI产业比作一座正在扩建的城市，BUILDOUT关注的就是修建这座城市所需的各种底层设施，而不是只押注其中一家明星公司。 2. AI Power（POWER） AI运行需要大量电力。数据中心规模越大、模型训练越复杂，电力供应就越重要。我认为，能源是AI讨论中经常被低估的一环。算法可以快速升级，但发电设施、电网接入和长期供电合同并不能在一夜之间完成。POWER关注的正是为AI运行提供能源支持的企业。 3. AI Capacity & Neocloud（NEOCLOUD） NEOCLOUD聚焦将高性能计算资源作为服务提供给客户的企业。不是每家公司都有能力自行购买大量GPU、建设数据中心并维护整套计算基础设施。因此，算力租赁和新型云服务正在成为AI产业链中的重要组成部分。在我看来，这一方向值得关注的原因，是它直接连接了算力供给与企业的实际AI需求。 4. AI Photonics（PHOTON） AI不仅需要计算，还需要在芯片、服务器和数据中心之间快速传输大量数据。PHOTON关注的是光子技术和高速数据传输，也就是帮助数据高效流动的光学层。 很多人关注一块芯片能算多快，但我认为，芯片之间能否高效交换数据，同样可能影响整个AI系统的性能。 5. Robotics（ROBOTS） ROBOTS关注AI从数字世界进入物理世界的过程，包括机器人、自动化设备及相关产业链。如果说大语言模型让我们看到了AI理解和生成信息的能力，那么机器人代表的就是AI感知环境、作出判断并执行现实任务的可能性。这也许是五个方向中最直观、同时最具想象空间的一条主线。 了解了上面5个方向，接下来说下我怎么看这次机会。 我认为，Reserve AI DTF最值得讨论的地方，是它把AI交易从猜下一家明星公司，转向了观察哪些基础设施正在真实建设。市场情绪可以在一个月内发生很大的变化，但已经签署的数据中心建设计划、电力合同和芯片订单，这属于持续数年的商业承诺，而这些基础设施支出不一定会因为市场短期下跌而立即停止。因此，把基础设施建设看作观察AI产业一个重要指标，我认为是很有必要的，而不是只关注短期价格和社交媒体热度。当然这些并不意味着基础设施相关资产不会下跌，也不能说明AI DTF能够完全规避市场的波动风险。我的观点是：市场情绪和产业建设不总是同步的，而这种差异本身会有一些只得研究的地方。 现在想想，在过去，想在链上通过单一篮子覆盖这些主题并不容易。而Reserve让这个方向开始具备更清晰的产品结构，也更适合让人去找到合适自己的方向并且找到适合自己的产品标的。 最后如果让你从AI基础设施中选择一个未来几年最值得研究的方向，你会选哪一个？ 是AI芯片和硬件、电力、云端算力、光子技术，还是机器人？ 我自己会特别关注电力和算力服务。原因很简单：无论最终由哪一家模型公司胜出，AI系统都需要持续消耗算力和能源。但这只是我的观察，并不代表这些方向一定会获得更好的市场表现。 但是我肯定会持续关注 @reserveprotocol 带来的一些优质资产和设施，对于我来说确实降低了研究传统资产的门槛。
- Aug 31, 2026
蒋讴阳律师（扛过来了）晒出自己的 UNI 二级单： 他用实际行动重新解释了币圈法律：抗拒从严，回家过年。 3.592 开多，浮亏一度达到 -26080U，收益率 -81.49%别人看到这种单子，早就止损认罪了。 蒋律师选择：不认亏、不止损、不平仓。 最后硬是等到 UNI 回到 3.597，账户从亏损2.6万美元，翻红 186U。 目前已经浮盈40213 USDT，28万RMB，一年工资。 在国内玩币最多的高知就是律师，老师了。
- Sep 13, 2026
今年最火的应该就是AI和机器人赛道，未来都有很大的潜力空间，最近看到的 @4Dlabs_Official，做的就是这类数据，而且已经拿到了 @yzilabs 的投资。 按项目目前的设计，可以通过第一视角眼镜、触觉手套等设备，把人实际干活的过程记录下来，再整理成机器人训练能用的数据。也有手机扫描空间、贡献场景数据的方式。 这个方向有意思的地方在于，每个人家里、工作场所的情况都不一样。光是一个厨房，东西摆哪、抽屉怎么开、碗怎么放，就有很多差别。把这些真实场景收集起来，才有机会让机器人换个地方也能干活。 Web3 在这里的作用也比较好理解：有人采集，有人处理和验证，企业有需求就付费使用，提供数据的人能获得回报。 但这里面我会比较关注数据质量。毕竟奖励一出来，肯定有人研究怎么刷😂 参考资料里提到，奖励会考虑质量、稀缺性和对训练的贡献。最后能不能把这套标准执行好，挺关键的，不然收了一堆用不上的数据也没意义。 后面还有 Model Store 的规划，把训练出来的能力做成订阅、API 或部署服务。按设计，这些交易会用到 $4D。 这部分可以继续跟。真正值得看的，还是有没有客户愿意用、用了之后会不会续费。有持续的业务，再聊代币需求，才有依据。 现在项目还早，很多东西要等产品落地验证。不过让机器人学会在真实环境里干活，确实需要有人把数据这件事做好，4D Labs 可以先放进关注列表。 想进一步了解的，也可以去 Galxe 活动页看看：https://t.co/g8T0W8asDU 具体任务和徽章领取条件以页面规则为准。先了解项目，后面跟着看它能做出什么。
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 185 interactions against 146K followers, an engagement rate of 0.126%. Measured over 31 original posts, its engagement rate beats 58% of 20,444 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 19K times each, and 1% of those impressions turn into an interaction. That is about 12.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 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 Thursday is the busiest day of the week. Of the 31 posts sampled, 97% carry an image or video and 6% link out. The account's strongest tracked post pulled 4.1K interactions, about 22x its own typical post. Recurring topics include #bitget, #bitget八周年, #孙宇晨.
- What is 蜡币小鑫's engagement rate on X?
- 蜡币小鑫 (@zhuanfgghjnb) has an engagement rate of 0.126%, based on the median interactions across 31 original posts from the last 30 days against 145,669 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.126%, 蜡币小鑫 sits above the 25th percentile of the 204,880 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 @zhuanfgghjnb have real engagement?
- Its engagement rate beats 58% of the tracked X accounts closest to it in follower count (20,444 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 @zhuanfgghjnb post?
- Most posts go out around 07:00 UTC, and Thursday is its busiest day, at roughly 1.6 posts per day across the measured window.