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Channel

柳言频道·美人画录

@xinsuigongzichannel

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

7,459subscribers

+5,661 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002534295842
TypeChannel
Username@xinsuigongzichannel
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live3 November 2026
Measurements held10
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/xinsuigongzichannel

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 14 October 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

1,7987,4594,628.58 August 2026 — 1,798 subscribers8 August 2026 — 1,801 subscribers14 October 2026 — 7,088 subscribers17 October 2026 — 7,129 subscribers19 October 2026 — 7,196 subscribers23 October 2026 — 7,226 subscribers25 October 2026 — 7,332 subscribers29 October 2026 — 7,405 subscribers1 November 2026 — 7,436 subscribers3 November 2026 — 7,459 subscribers8 August 20263 November 2026
10 measurements spanning 88 days, net +5,661. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 949–8,308 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Nov 2026, 23:127,459+23
1 Nov 2026, 00:067,436+31
29 Oct 2026, 04:577,405+73
25 Oct 2026, 19:097,332+106
23 Oct 2026, 02:287,226+30
19 Oct 2026, 19:187,196+67
17 Oct 2026, 01:297,129+41
14 Oct 2026, 01:177,088+5,287
8 Aug 2026, 19:501,801+3
8 Aug 2026, 04:341,798first reading

Engagement

8 posts held, back to 27 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
32s
Average length
8s

Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

9 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤9100.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 7 of the 8 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 27 July 2026 to 8 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

8 Aug 2026, 00:12 UTC319 viewsread 8 August 2026
Photo

小玖 @njxj14 重庆妹子 600Kb 2000P 第一印象:她自称是95-98年之间的妹子,御姐!颜值是商k小天菜级别,有人说她是南京第一美女,此话并非空穴来风。 颜值:小玖的本人颜值是图一高度相似,结合其他几个本人视频,合成为图四,大概85%本人。 身材:小玖净身高在170cm,进门一瞬间穿个6cm高跟鞋,和我身高接近了,腿细又长,身材苗条,屁股大,胸B+。蕾丝黑色包臀裙更凸显小玖的身材, 服务:待客如初,陪浴,擦拭,很细心。床上穿上制服诱惑,软嫩多汁的舌头为我舔胸,舌头灵活又滑嫩,甚是舒服。身体柔软,有一股香味,双手撑住床,使用口包裹大雕,舔蛋蛋,从下滑到上,挑逗,振动,包裹,吮吸,95口技9分。接下来我让她继续舔胸和帮我手打,贴在我的身上,用手抚摸大雕,很快发射龙之精华,小玖一把含住我的精华,完成95之课。 一句话总结:漂亮的商k风御姐,口活舒适,身材非常顶级

Signed 柳七大官人

2 Aug 2026, 14:23 UTC≈1,370 views0 reactionsread 8 August 2026
Photo

@xueli1026 雪梨 1200P 不少柳言群狼友不知雪梨是谁,我说一下吧,挺好看的网红美女,舌吻比女友更女友,而且口活一流,非常正点。🤩 🔣点击回到柳七美人画录🔣

Signed 柳七大官人

1 Aug 2026, 02:55 UTC≈1,580 views0 reactionsread 8 August 2026
Photo

@youlin156 幼琳 800P 重庆女大 一进门,幼琳给我的极深刻的印象是她158厘米的身高,75斤左右的骨感身躯,非常瘦,第一个蹦出的词汇就是”瘦骨嶙峋”。 幼琳漂亮长发散落肩头,眼睛挺大,鼻子略塌,但整体还可以。“哥哥。”是她给我印象最深的一句轻声呢喃,声音带着言情般的颤动。 幼琳的服务姿势很足,共浴,舔胸时她舌尖温柔舔过我胸口,舌吻时小舌灵巧弹动,如电流般甜蜜缠绵。回到床上,我压上她皮包骨头的娇躯,以传教士姿势深入。她配合地抱紧我,喘息道:“哥哥……哥哥。”她的叫声越来越动情,像痴恋的少女般回应每一次律动。 整体感觉有一种和女大一起的浪漫激情,余韵绵长。整体不错,但是感觉8多了,如果7或者6会二刷 一句话总结:成都的艺术系女大暑假兼职,非常瘦,头发精致美丽,弹舌口活独具特色 🔣点击回到柳七美人画录🔣

Signed 柳七大官人

29 Jul 2026, 14:45 UTC≈2,000 views3 reactionsread 8 August 2026
Photo

(转) #南京 #个人 #哼哼 回忆中的美好 暂时上岸 【颜值身材】: {年龄}:18 {颜值}:视频不太像,本人长发学生妹妹,颜值班花级别以上 {皮肤}:正常黄皮稍白,光滑细腻,全身无纹身 {罩杯}:B- {身高}:168 {体重}:95 {赘肉}:全身无赘肉,身形苗条 {颜值综合打分}:9.4 {身材综合打分}:8.9 【过程概述】: 约好时间,准时到达。打开房门,第一眼是一个穿着可爱睡衣的长发妹妹,仔细看去,羞涩中又带着几分楚楚可怜,自己仿佛也年轻了几岁,回到了纯真的学生时代。 简单冲洗,来到床上。两个腼腆的人相互看着对方,示意可以开始,妹妹鼓起勇气贴了上来,两个人脸对着脸,柔软的唇瓣轻轻的贴了上来,温暖和甜蜜交织,情感瞬间融入。 带上tt,正式开始。抚摸着动人的脸庞,缓缓进入,妹妹也轻声呻吟。加快速度,偶尔抓住你的手,偶尔搂着脖子,两个人相拥在一起感受着彼此。换到女上,妹妹害羞的向下看,努力尝试摇动,时间过了很久也…

❤3

Signed 柳七大官人

27 Jul 2026, 14:55 UTC≈2,210 views3 reactionsread 8 August 2026

《黑车黑车黑车——路飞的滑铁卢之战》 原文出自柳七频道 @hhhssnn559 小水 1️⃣黑车之假照:频道的照片是一个河南妹子(来源一个抖音的高考妹子) 本人一见面完全就是24岁以上的夜场女。真后悔为啥没有退,因为来都来了!!! 2️⃣黑车之颜值身材:就1500的价格来说硬件中等偏下:身高168,比较瘦,脸蛋不丑,没有纹身是优点!偏瘦,牙齿很黄。 3️⃣黑车之服务:“熟女一件套” 服务完全连快餐都比不了,更不要提啥嫩妹三件套了,我愿称之为“熟女一件套”, 4️⃣ 黑车之过程大雷:服务与课表完全不一致: 不给接吻,不给亲脸,没有舔胸, 上来就是口,口的很浅,比快餐都不如。做爱的时候还不停催,嘴巴一股子烟味,熏死我。下面挺紧是唯一的优点了。她隔壁的闺蜜,更是人照不是一个人,不说了,都是泪😫

❤3

Signed 柳七大官人

27 Jul 2026, 12:25 UTC≈2,070 views1 reactionsread 8 August 2026
Photo

待出击 @xiaocaomei751111 小草莓 🔣点击回到柳七千寻热榜🔣

❤1

Signed 柳七大官人

27 Jul 2026, 12:11 UTC≈3,350 views1 reactionsread 8 August 2026
Photo

朵朵 @wwenjinn 800P 几个优点: 1️⃣高挑嫩妹,19-21很嫩,170cm 胸C~ 2️⃣妆后颜值9分,很漂亮 3️⃣口活远超嫩妹 4️⃣下面水很多 5️⃣还会陪你说话,聊天,不催。会帮你手打出货为止 出击过程:妹子身高很高,170左右,而且没有任何赘肉,膝盖处有淤青,看来被折磨过啊。。。她是河南的,之前在郑州开过课,做过大圈,但是无奈大圈越来越卷,妹子说那些大圈甚至接受sm 甚至wt,但是大圈开始玩后入。她受不了,我理解了一会,原来这个后入是肛入,玛德,太变态了郑州。 妹子的脸蛋和妆容很漂亮,脸蛋很干净,和图片9成,闭上眼睛的颜值甚至能超越某贝,很好看。更厉害的是她的口活,接近会所级别,属于有服务的嫩妹,还可以舌吻,和女友一样,很配合,唯一的缺点就是皮肤略微黑了点。 点击回到柳七千寻榜 一句话总结:高挑,有服务的颜值嫩妹,爱讲话,态度好

❤1

Signed 柳七大官人

27 Jul 2026, 12:01 UTC≈1,870 views1 reactionsread 8 August 2026
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待出击 幼琳 @youlin156 800P

❤1

Signed 柳七大官人

Showing the 8 most recent of 8 posts we hold for @xinsuigongzichannel. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 3 November 2026 — this entry's latest reading, not the date you are reading this.

“柳言频道·美人画录” (@xinsuigongzichannel), 7,459 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/xinsuigongzichannel.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.