Back to @oran_ge's profile

Orange AI engagement report

@oran_ge - 186K followers on X

Measured over 29 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Middle of its size range
Per follower
0.056%
of 186K followers
Per impression
0.455%
23K views on a typical post
Reach
12.3%
of its followers see a post
Typical post
103
interactions (median)
Saved
0.159%
36 bookmarks on a typical post
Posting rate
1.63/day
active 43% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 103 interactions against 186K followers, an engagement rate of 0.056%. Measured over 29 original posts, its engagement rate beats 49% 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 23K times each, and 0.455% of those impressions turn into an interaction. That is about 12.2% 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, though only 43% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 29 posts sampled, 34% carry an image or video and 14% link out. The account's strongest tracked post pulled 6.7K interactions, about 76x its own typical post.

Measured over 29 original posts from a 30-day window, last computed on October 15, 2026.

Compared with accounts its own size

Orange AI's engagement rate beats 49% 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 24% 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 0.056%, Orange AI sits above the 25th percentile of the 204,694 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video34% of posts+111%+108% to +115%34K
Outbound link14% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 34% 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.
  • 14% 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 132 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

  • Sep 5, 202276x their median

    Gotta teach the AGI to love

    5.4K760262211View on X
  • Oct 11, 202652x their median

    看到陶哲轩在TL上被群嘲🤡 陶哲轩为了贬低AI,设计了一个思想实验,说AI设计了一个药能治愈癌症,临床试验成功但是其机理不明人类无法理解,那你还敢用这个药吗? 陶哲轩不知道的是,这在生物医学领域简直稀松平常🤡 所以做思想实验不要离开自己熟悉的领域🤡

    4.7K16041559694K viewsView on X
  • Oct 10, 202616x their median

    AI 逆向这个事情,竟然还是没有引起重视,还在暗中发酵 这个事情要么不爆,要么就爆个超级大的。。。 直接改写行业规则,欸

    1.2K7531735345K viewsView on X
  • Sep 10, 202612x their median

    一个冷知识,Siri 是在 Cook 上任苹果 CEO 第一年 2011 年发布的 直到 Cook 在 2026年下台,Siri 都一直保持着一个弱智的状态 先做个垃圾出来,15年后,仍然是个垃圾 这还是世界上最有钱最有品味的公司之一

    9462228810199K viewsView on X
  • Apr 15, 202610x their median

    Vibe Coding 是中年男人的钓鱼 我发现 AI 对于很多中年男人来说,就跟钓鱼一样,是一种合法且体面的独处方式。 中年男人的生活,大多处在一种身份叠加的夹缝之中。白天,他可能是部门经理,需要照顾团队绩效与上下级关系; 晚上回到家,他是丈夫、是爸爸,要操心家里的大事小情;到了周末或节假日,又得参加各种社交,应付朋友之间的人情往来。 总之,他生命里的每一分钟,好像都属于别人,唯独不属于自己。 于是钓鱼成了一种奇妙的避难所。当男人坐在河边,拿着鱼竿凝视着水面的时候,他拥有了一个无可辩驳的理由拒绝外界的干扰:“我在钓鱼呢”。简简单单五个字,构筑起一道旁人难以跨越的屏障,彻底保护住那段名正言顺的孤独时光。 AI,其实也是同样的道理。 当深夜降临,老婆孩子都睡下,你打开电脑,开始一段 Vibe Coding。对着屏幕,你只需要简单地对 AI 说一句:“帮我做个能查天气的小工具”,接下来,你甚至不用完全理解代码是如何生成的。看着屏幕上的文字快速滚动、项目神奇地运行起来,那种快感,跟钓鱼时鱼竿突然猛地一沉几乎一模一样。 其实,钓鱼的人未必真在乎鱼,玩 Vibe Coding 的人也未必真在乎那个最终的产品。那个小工具第二天可能连你自己都不会再打开,甚至没有任何人会真正使用。但在这件事里,重要的从来都不是结果,而是过程里那种“我说了算”的稀缺感受。 为什么这种感觉对中年人尤其宝贵?因为现实生活中的他们,最缺乏的就是这种自我主宰的体验。 二十年前,如果你想做出点东西,可能得先苦学编程语言,再研究框架,再一步步琢磨部署环境,光是准备工作就足以让多数人望而却步。但现在,AI 把这一切的门槛踩到了地板上——你只需要知道自己想要什么,并用简单的语言描述清楚就行了。这对于背负着繁重生活压力、最缺乏时间和精力的中年人来说,简直就是久旱后的甘霖,让他们直接跳过了所有繁琐、枯燥的学习过程,抵达了创造的最激动人心的部分。 所以你会注意到一个很有趣的现象:凌晨时分在社交媒体上最兴奋地晒出自己用 AI 做出的小产品的人,往往不是 00 后的年轻程序员,而是三四十岁的中年人。他们分享的并非自己的技术有多高深,而是一种失而复得的感动——“我居然还能做出点什么来”。年轻时,这种从零到一的成就感随处可见,所以你不觉得珍贵。直到被日复一日的琐碎生活消磨了激情,才会在某个平凡的深夜,突然被 AI 赋予的创造快感所击中,激动到无法自已。 归根到底,钓鱼也好,Vibe Coding 也罢,本质上都是中年男人给自己找的一个巧妙借口:我并非逃避责任或回避生活,只是短暂地需要一点空间,重回那个内心有好奇心、有创造欲望的自己。唯一不同的,是一个挥动着鱼竿,一个挥动着 prompt。但鱼是否上钩,代码能否上线,都已不再重要。 重要的是,那根鱼竿在手,那行光标在屏幕上不停地闪烁—— 这一刻,是真正属于我的。

    7849210450168K viewsView on X
  • Sep 6, 20268.9x their median

    人生目标当如此 https://t.co/yLPZ2welCg

    702511521147K viewsView on X
  • Oct 7, 20265.9x their median

    有没有程序员来说说 用完 Opus5.5 之后,你觉得工程师/程序员接下来的职业发展路径需要如何调整呢? 不要吐槽,认真的讨论下

    4012017016203K viewsView on X
  • Sep 12, 20265.7x their median

    尤栗Yuri的演唱会圆满落地。忙到现在总算能发个帖子,几千人的现场几乎全满了,最后一首歌时,大家都没走。站在最后看着这一幕,很难相信那一刻是真实的。 百米巨幕12k,我们证明了AIGC完全能在线下创造视觉奇观。正式节目本周陆续更新。 https://t.co/BQ7s9pQqBZ

    4082710446221K viewsView on X
  • Sep 12, 20265.1x their median

    OPC 如何使用 vibe coding 月入5万? 1.靠 vibe coding 做一个特别炫酷的demo 2.把demo发到社交媒体,获得流量和甲方关注 3.每月接几个商单 好像都是这样的,几乎没有例外...

    38721113786K viewsView on X
  • Oct 9, 20264.7x their median

    Luna 连简单的数学都算不对。。。 haiku 连翻译文章都拒绝。。。 AI 模型发展的太诡异了。。。

    420649493K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 103 interactions against 186K followers, an engagement rate of 0.056%. Measured over 29 original posts, its engagement rate beats 49% 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 23K times each, and 0.455% of those impressions turn into an interaction. That is about 12.2% 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, though only 43% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 29 posts sampled, 34% carry an image or video and 14% link out. The account's strongest tracked post pulled 6.7K interactions, about 76x its own typical post.

What is Orange AI's engagement rate on X?
Orange AI (@oran_ge) has an engagement rate of 0.056%, based on the median interactions across 29 original posts from the last 30 days against 185,576 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.056%, Orange AI sits above the 25th percentile of the 204,694 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 @oran_ge have real engagement?
Its engagement rate beats 49% 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 @oran_ge post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 1.63 posts per day across the measured window.

Keep going