鸟哥 | 蓝鸟会🕊️ engagement report
@NFTCPS - 139K followers on X
Measured over 38 original posts from a 30-day window, last computed on September 29, 2026.
Engagement
A typical post picks up 18 interactions against 139K followers, an engagement rate of 0.013%. Measured over 38 original posts, its engagement rate beats 23% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.7K times each, and 0.374% of those impressions turn into an interaction. That is about 3.37% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 38 posts sampled, 95% carry an image or video and 37% link out. The account's strongest tracked post pulled 983 interactions, about 55x its own typical post.
Measured over 38 original posts from a 30-day window, last computed on September 29, 2026.
Compared with accounts its own size
鸟哥 | 蓝鸟会🕊️'s engagement rate beats 23% 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 20% 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 0.013%, 鸟哥 | 蓝鸟会🕊️ sits above the 10th percentile of the 205,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
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 02:00 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 | 95% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 37% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 95% 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.
- 37% 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 178 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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
- Apr 4, 202555x their median
《如何3个月涨粉上万成为KOL,接到千U广子,拿到千万返佣》 下图是某KOL的OKX返佣截图,通过推特引流共拿到了150万U的返佣,价值上千万人民币;你想成为他吗?花10分钟时间看完所有线程! 最近行情低迷,很多人都开始研究怎么做KOL,接广子了拿返佣了。确实KOL才是永赚,永远有打不完的子弹。如果你是长期主义,不想离开币圈这个“牌桌”。那额外的经营性收入是必须要有的。经营自媒体获得广告、返佣等收入是成本最低的方式。 我也是其中一个受益者,先说说我自己,首先从来没承认过自己是KOL,总觉得自己的认知还不够。英语很烂,年级很大,但我是一个长期主义者,坚定加密是我人生中最后一个事业,不会因为短期利益而妥协,这可能也是年轻人想不明白的地方,所以我不会作恶,只赚自己良心上过得去的钱,在过去几年中做自媒体的收益高的时候一个月有1万多U,少的时候小几千U,大部分收益还是通过撸毛工作室撸项目赚到的; 我的推特满打满算就运营了1年多,目前4.2万个粉丝,没有刷过一个假粉; 还运营着一个1.7万订阅的Telegram频道(https://t.co/fSngBxCaAK)和2.5万人的群组(https://t.co/hrFMsgoQsl); 4个微信号近3万币圈好友(私域流量); 币安广场几千个粉丝; 其他国内自媒体知乎、B站、喜马拉雅FM其实我都有号的,只不过限于内容管控好几年不更新了! 但搞币圈自媒体4年多了,最早搞的微信公众号《空投科学家》6万+订阅,很多人认识鸟哥大部分也是从这个号开始。至少在公号圈里做空投赛道的我肯定是顶流了,每篇文章平均几千的阅读量; 屋漏偏逢连夜雨,终于在去年10月份,《空投科学家》被永久封号了,这才让我铁了心的全身心运营推特,其实对我来说运营推特轻松多了,公众号需要长文(日更很累),推特短文就可以了(日更多篇),1年多4万粉丝的自然增长还可以的,所以我有资格来分享一下我的运营心得!
- Sep 28, 202620x their median
还在到处找视频下载站?8个免费工具,X、抖音、ins、YouTube 全搞定👇 1、X 视频 🔗https://t.co/uBC6ptC7SJ 2、抖音 / TikTok 去水印 🔗https://t.co/N9jBtt11Xk 3、ins / Facebook 🔗https://t.co/qug3vIUSFK 4、国内全平台 🔗https://t.co/SmvNm4FUFg 5、视频去水印 🔗https://t.co/lB2OvENJN0 6、图片去水印 🔗https://t.co/2EDn0Pq3sM 7、YouTube 开源版 yt-dlp 🔗https://t.co/fPqZzv21Ks 8、桌面端 🔗https://t.co/TCgmBZDFRE 这套够用很久,先收藏,别用时又翻不到
- Sep 28, 20266.1x their median
闲鱼绝对是中文最大的暗网,不信你看! https://t.co/OVibKnnrqN
- Sep 28, 20263.9x their median
淘宝、拼多多、闲鱼,黑话都用上了也搜不到的卡,京东居然明着卖? 刘强东这波是真敢。 美国紫卡、香港 Club SIM、英国 giffgaff、德国 O2,各类境外 eSIM 卡,京东直接上架,点开就能下单。 别家藏着掖着,他直接摆上台面。 凭什么只有京东能做到??
- Sep 29, 20263.7x their median
十六年,一分钱都没动过! 中本聪今天到底在干嘛?我是真好奇 https://t.co/2cOQslzq76
- Sep 28, 20263.4x their median
这哥们儿绝对是个真正的玩家! https://t.co/c0bkDIKbf0
- Sep 28, 20262.3x their median
AI 都能写代码了,还有必要啃 CSAPP? 学计算机的,这份中文版资料先存下来。 有人把《深入理解计算机系统》第三版整理成了中文 Markdown,前言、第 1 到 12 章加附录全都有,还上线了在线阅读网站。 最实用的几点: 1️⃣ 原书 238 道练习题答案单独整理,每章页首页尾都有入口,做完直接核对 2️⃣ 8 个实验说明全部译成中文,从 Data Lab 到 Proxy Lab,每个目录都附官方自学实验包 3️⃣ 网站支持全文搜索、前后翻页和深色模式,手机也能看 提醒一句:答案只有原书练习题,不含家庭作业和实验解答。Malloc 自学包只附两份短测试,没有完整评分文件。 作者说,AI 再方便,想搭起底层知识框架,还是得系统读完一本扎实的书。这话我认。 正在学计算机系统、准备面试补底层的,直接拿它当主力读本。 🔗 GitHub:https://t.co/xgFgAxvQwf 🔗 在线阅读:https://t.co/AeHxmjEk32
- Sep 28, 20262.2x their median
20 美元做到 280 万美元?你还在手动翻币,人家早就用机器人开猎了 先说结论:Meme 币这个赛道,已经不是人跟人拼手速了,而是机器人在打仗。 有个交易者,据展示从 20 美元起步,做到了 280 万美元。他不是内部人士,也没有鲸鱼朋友带,只是把 FOMO 和机器人搭成了一套专门猎杀 Meme 币的系统。 查看🔗 https://t.co/nhi5bQLdcy 拆开看,套路真不复杂,就三招: 1️⃣ 跟着聪明钱早上车 机器人一边扫新发的 Meme 币,一边盯着那些总比大家早进场的钱包。几个赚钱的钱包同时在囤同一个币,系统就会提前标出来,这时候趋势还没明显。 2️⃣ 快进快出,不恋战 随机代币不长期死扛,只吃短期动量。成交量、流动性、钱包动向、价格变化全盯着,专门筛人群刚开始涌进的币。你还在几百个币里翻来翻去,机器人早就过滤完了。 3️⃣ 真正的杀手锏是自动化 Meme 市场快到离谱,等你看到趋势,大钱包可能早就埋伏好了。机器人几秒内就能扫完几千笔交易、盯住一堆钱包并做出反应,人肉根本拼不过。 还有一点很多人忽略,那就是规模。 几百笔交易,几千个钱包同时监控,一点点小优势反复叠加,小翻转才有可能滚成大数字。 所以别老想着找下一个 100 倍。真正的优势就三件事:找对钱包,早点发现动量,抢在人群前面执行。
- Sep 29, 20262.1x their median
据说这两口子各玩各的,都不是善茬! https://t.co/k1qKxRugsy
- Sep 28, 20261.8x their median
农村大席卫生看着那么差,为啥很少有人吃坏肚子? 这事你真琢磨过没? https://t.co/PMiH3eywdc
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 18 interactions against 139K followers, an engagement rate of 0.013%. Measured over 38 original posts, its engagement rate beats 23% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.7K times each, and 0.374% of those impressions turn into an interaction. That is about 3.37% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 38 posts sampled, 95% carry an image or video and 37% link out. The account's strongest tracked post pulled 983 interactions, about 55x its own typical post.
- What is 鸟哥 | 蓝鸟会🕊️'s engagement rate on X?
- 鸟哥 | 蓝鸟会🕊️ (@NFTCPS) has an engagement rate of 0.013%, based on the median interactions across 38 original posts from the last 30 days against 139,053 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.013%, 鸟哥 | 蓝鸟会🕊️ sits above the 10th percentile of the 205,261 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 @NFTCPS have real engagement?
- Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size 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 @NFTCPS post?
- Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 1.37 posts per day across the measured window.