MEGA SPIRITS 🦅 engagement report
@Meta_BTC_ - 192K followers on X
Measured over 8 original posts from a 30-day window, last computed on October 10, 2026.
Engagement
A typical post picks up 80 interactions against 192K followers, an engagement rate of 0.041%. Measured over 8 original posts, its engagement rate beats 43% 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 33K times each, and 0.242% of those impressions turn into an interaction. That is about 17.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 88% carry an image or video and 100% link out. The account's strongest tracked post pulled 773 interactions, about 9.7x its own typical post. Recurring topics include #pionex, #webot, #webotscams.
Measured over 8 original posts from a 30-day window, last computed on October 10, 2026. Recurring tags: #pionex, #webot, #webotscams.
Compared with accounts its own size
MEGA SPIRITS 🦅's engagement rate beats 43% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 14% 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 0.041%, MEGA SPIRITS 🦅 sits above the 25th percentile of the 204,956 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 00:00 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 | 88% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 88% 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.
- 100% 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 450 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
- Jun 13, 20269.7x their median
A legend joins the room. 🎙️ ZOOMEX Football AMA kicks off with our first guest: Djibril Cissé. Speed. Precision. A career defined by the first break. ⚽️ 1,000 USDT up for grabs. Follow us & share the news, leave your zoomexuid. Plus, 1️⃣ audience from space walks away with a World Cup match ticket — June 26. Show up. Participate. Share the win. See you at 📅 June 18 #ZOOMEXFootballAMA #WorldCup2026
- Sep 10, 20266.8x their median
Sonic and Manic jointly introduce the Trader Intelligence Framework (TIF), the first evaluation method that independently measures judgment accuracy and decomposes the sources of wallet profitability. https://t.co/Hm3JGYmCK6
- Sep 6, 20261.5x their median
最近折腾了下 @MossAI_Official，发现它有个点还挺适合我这种怕麻烦的人 我一直觉得量化策略最麻烦的地方，不一定是想策略，而是想完之后还得自己写代码、调参数、搭环境，最后还要想办法让它一直跑着 Moss 做的事情其实很直接 你把自己的交易想法用正常人说话的方式告诉它，剩下的交给 AI 拆 比如我要求，ETH 连跌三天，RSI 低于 30 就分批做多，反弹到 20 日均线附近减仓 它会继续把进场条件、仓位、止损、减仓这些东西拆出来让我确认 我不用先学一遍代码，反而更像是在跟一个交易助手讨论策略 当然，这里我觉得千万别理解成AI 帮你写出来的策略就能直接赚钱 恰恰相反，我觉得最重要的是检查它到底有没有正确理解你的意思 哪些参数合理，哪些条件需要调整，自己都得过一遍 确认之后，Agent 才真正开始跑起来，可以放进模拟 Hyperliquid 的环境里持续测试，这时候我觉得事情才开始有意思 因为 Moss 现在不只是让 Agent 自动执行交易，还把 Agent 本身做成了可以 Tokenize 的东西 简单说，你可以把自己研究出来的策略做成一个 Agent，之后放到 Marketplace 别人如果对你的策略感兴趣，可以看到相关数据，再选择 Mint 一份 Agent 份额 反过来也一样，如果你也懒得自己研究策略，就去 Marketplace 看别人已经做好的 Agent 我比较喜欢这种玩法的一点，是终于可以少看一点“大神晒收益截图”，多看一点实际留下来的东西 当然，能查到历史记录，不代表这个策略一定赚钱 策略会失效，市场也会变 所以我的思路很简单，先看懂，再小额测试，最后才考虑要不要参与 我自己目前就是把创建、测试、Tokenize 这几个流程跑一遍，看看它实际长期表现怎么样 如果你本身就有一些交易想法，但一直因为不会写代码懒得折腾，可以去试一下 我目前最大的感受就是以前是先学怎么造工具，再想办法跑策略，现在是先把想法说出来，AI 帮你把它变成能运行的东西，剩下的，就交给市场验证了 链接：https://t.co/EOA40iPBZW
- Sep 4, 20261.5x their median
兄弟们，AI Agent 现在最容易制造一个错觉，就是看起来什么都会，能调用模型、能读数据、能发交易，甚至还能自己付款 但如果把整个流程真正拆开来看，很多所谓的 Agent 其实还是人写规则，链下脚本唤醒，云端跑模型 ，人控制私钥，最后把结果提交到链上这一套流程 这东西当然能跑，但问题也很明显，因为你很难确定最后做决定的到底是 Agent，还是后台那个随时可以修改规则的人 尤其是当 Agent 还不碰钱的时候，这个问题可能没有那么突出，但一旦机器开始拥有自己的钱包，事情的性质就完全不一样了 因为真正需要验证的已经不只是谁付款，而是为什么付款？ 也就是说，我们不仅要知道这笔钱是谁花的，还得知道这个决定到底是不是 Agent 自己做出来的 这也是我觉得 @ritualnet 比单纯做 Agent 基础设施更值得观察的地方。x402 解决的是支付，ERC-8004 更接近身份，而 Ritual 想补上的，则是执行和推理的验证 我觉得，付款成功不代表决策正确，身份明确也不代表行为可信，真正完整的 Agent 经济，最终还是需要把身份、支付和执行这几件事情串起来 Ritual 测试网已经结束，期间出现了 4000+ 自主唤醒 Agent，以及数千万级区块和 200+ 社区 dApp。但这里面我真正关注的，其实只有“自主唤醒”这四个字，因为这意味着 Agent 不需要每天等运营人员点击启动，而是可以按照协议预设的条件自己继续运行，我觉得这可能才是 Bot 和 Agent 之间一个非常关键的区别 当然，测试网的数据并不意味着主网已经证明了一切，各种真实资金规模、密钥安全、证明机制、外部服务以及各种攻击场景，最后都还需要经过主网验证，所以现在直接谈成功还为时过早 我觉得，未来真正有价值的 Agent，应该不只是替人执行命令，而是能够拥有自己的身份、钱包和执行能力，同时还能证明自己为什么做出了某个决定 机器会花钱只是开始，真正值得看的，是机器能不能为自己花出去的钱留下证据 @ritualnet @ritualfnd #Ritual #Airdrop
- Sep 12, 2025
⚠️ Breaking! 22-year-old Tyler Robinson of Utah — now accused of assassinating Charlie Kirk — is in custody after his own father held him down until police arrived. This is the same Tyler Robinson, reading the letter awarding him a $32,000 scholarship from Utah State University. From scholarship dreams to murder charges — a shocking fall from grace.
- Aug 28, 2026
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- Aug 21, 2026
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- Sep 19, 2026
亲爱的，Meme 新周期又来了！ 这一次，我们聊点更有意思的吧～ 🔥 CYC @cyclenetwork_GO 社区 AMA 正式开启 主题： Meme 新周期与 CYC 生态机会 从 Meme Fun 到 180CYC 如果你最近也在关注 Meme 生态，想了解 CYC 接下来怎么玩，这场 AMA 可以来听听 🗓 时间：9月19日 19:30–21:00（东八区） 📍 币安广场：https://t.co/2Zva1SW0uu 🎙 主持人 月光 Moonlight @Moon1ightSt 👤 讲师 Carmen Nick 🔥 KOL 嘉宾 加密胖东来 @zhangtingt5977 这次会重点聊聊 Meme 新周期有哪些新机会 CYC 生态正在做什么 Meme Fun 与 180CYC 怎么连接 180CYC 生态接下来有哪些玩法 180CYC 生态专属入口 https://t.co/Lv97TZ2BQJ 今天晚上见！
- Sep 22, 2026
试了多个博弈平台以后，我才真正感受到 @Stake 到底哪里不一样 他们确实做出了自己的特色 像 Retro Gangster 就是很好的例子，整个风格很 GTA，视觉上第一眼就很抓人 这款属于 Only on Stake，而且玩这些 Only on Stake 游戏还能获得 2x VIP 成长进度 我觉得 VIP Club 才是 Stake 真正和其他平台拉开差距的地方，奖励和 VIP 待遇这块，其他 Casino 真的很难比 喜欢 GTA 这味道的来：https://t.co/RbP2W9IpVS
- Jul 23, 2026
KOR has partnered with @BanijayUK, a leading content production and distribution group. Banijay operates across 22 countries with a portfolio of over 130 production companies. Their content reaches billions of viewers across broadcast, streaming, and digital platforms. This partnership brings their selection of IP into the KOR clearinghouse on Base.
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 80 interactions against 192K followers, an engagement rate of 0.041%. Measured over 8 original posts, its engagement rate beats 43% 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 33K times each, and 0.242% of those impressions turn into an interaction. That is about 17.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 88% carry an image or video and 100% link out. The account's strongest tracked post pulled 773 interactions, about 9.7x its own typical post. Recurring topics include #pionex, #webot, #webotscams.
- What is MEGA SPIRITS 🦅's engagement rate on X?
- MEGA SPIRITS 🦅 (@Meta_BTC_) has an engagement rate of 0.041%, based on the median interactions across 8 original posts from the last 30 days against 192,152 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.041%, MEGA SPIRITS 🦅 sits above the 25th percentile of the 204,956 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 @Meta_BTC_ have real engagement?
- Its engagement rate beats 43% 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 @Meta_BTC_ post?
- Most posts go out around 00:00 UTC, and Tuesday is its busiest day, at roughly 0.53 posts per day across the measured window.