Telegram RegisterThe public register of Telegram

Channel

陈梦琦频道

@guyunduoc

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,837subscribers

+24 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003230849124
TypeChannel
Username@guyunduoc
CreatedBetween 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/guyunduoc

Growth

1,8131,8371,8256 August 2026 — 1,813 subscribers6 August 2026 — 1,813 subscribers7 August 2026 — 1,819 subscribers10 August 2026 — 1,837 subscribers6 August 202610 August 2026
4 measurements spanning 4 days, net +24. 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 1,809–1,841 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 14:571,837+18
7 Aug 2026, 08:141,819+6
6 Aug 2026, 20:311,813no change
6 Aug 2026, 20:191,813first reading

Engagement

17 posts held, back to 14 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
92.7%
avg views ÷ 1,837 subscribers
Avg views / post
1,700
16 posts measured
Reaction rate
0.108%
reactions ÷ views · ER floor
Posts in window
17
of 17 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 6 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 23 July 2026
Posts held17 (14 July 202623 July 2026)
Views total27,260
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:28 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
55s
Average length
18s

Measured directly from 3 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

12 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1083.3%
👍216.7%

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 6 of the 17 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 12reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 14 July 2026 to 23 July 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

22 Jul 2026, 07:27 UTC≈1,570 views2 reactionsread 7 August 2026
Forwarded from @xiaoshiyilang888Photo

#出击报告 #上海 # 【修车老师】:陈梦琦 【修车时间】:26.7 【修车水费】:1500p(VIP+报告) 【凶器】:C~挺拔~ 【颜值】:人照8分 【身材】:165+细枝硕果 【软件】:成熟大姐姐,会聊 【缺点】:无 【推荐程度】:SSR/猛夯 【联系老师】:@chengmengqi 【过程描述】:真好有空,有缘约上了好多LY好评的梦琦老师。工作室在小区,看着挺安全。进门一看,成熟的御姐,挺好的。老师全程自然,简单攀谈,开始流程。 【前戏】LS先服务,技术很棒。三点刺激到位,特别是KL,技术一流。很润很爽。手口并用,口水和KJ液,混合涂抹在J8上,非常刺激。属于刺激性也正好,很舒服很润的那种。 换我反击,攻击三点很敏感,反驳很大。下面很容易湿。69舔鲍,反馈很好。感觉的出来很会,很享受。而且很喜欢吃鸡。 【正戏】被口的不行,戴T开干。下面很紧很润,属于第一梯队的名器。来回交锋,反馈很大。会让你用力加速,姿势也任意切换。如果

2

22 Jul 2026, 04:02 UTC≈1,340 viewsread 7 August 2026

梦琦妹妹明天开始休假,本月最后一天大酬宾,无论新老顾客一律1500P,仅此一天,欢迎来骑。

20 Jul 2026, 02:57 UTC≈1,660 views1 reactionsread 7 August 2026

已经不是第一次来了,外貌身材别的报告已经讲的非常到位,就不多赘述,轻车熟路来到科室,老师笑盈盈的在门口捂着嘴笑,提前换上高跟让整个人显得异常挺拔,在沙发上坐下搂着你就开始调情,这下哪受的了赶紧光速沐浴来到床上。口活还是这么惊艳,口交液挤一点,然后再用小手顺着根部一直磨擦到冠状沟,然后手扶着轻轻吮吸,边摸蛋蛋边用诱惑的眼神望着你,那副欲求不满的表情活脱脱一副仕女感,口的很有包裹感,节奏拿捏的恰到好处,没有定力可能就会交代到这里。 依旧换我给老师服务,这次起手不着急直接攻击花蕊,嘴在阴唇左右画圈,然后冷不丁直接舔到阴蒂向上一勾,然后配合吮吸速度加快,老师绷紧,两腿开始加紧乱扭我就知道到位了,带好套提枪上场,传教士体位随着我加速冲击,老师面色开始潮红,呻吟加剧,眼神开始迷离,边拉着我胳膊边恳求我抓住胸部,随着她身体开始止不住的颤抖,腹部也开始绷紧直到轻微抽搐,我也全部释放了出来。正如大家所说先天做爱圣体,享受性爱,情绪价值高,最重要的

👍1

19 Jul 2026, 04:57 UTC≈1,990 views5 reactionsread 7 August 2026

【老师艺名】#陈梦琦 【联系方式】@guyunduo 【上课费用】活动价1600p 【上课时间】2026.7.18 【课室环境】普通小区,有电梯,无门禁楼禁。 【颜值气质】人照8.5分,参考照片。系风骚、性感、轻熟御姐,浙江人,自述00后。 【身材细节】167,95斤,细枝硕果。天然c罩杯,摸过最舒服的胸,形状挺拔,乳头小,乳晕适中,颜色正常。细腰腹肌马甲线,有腰窝,筷子腿很长,蜜桃臀上有个大🌸纹身。下体饱满,外阴颜色深,内粉。 【皮肤细节】偏白,很滑。有脐钉。左腰臀位有纹身。有健身习惯,吃健康餐,保养精致,身材超棒! 【服务体验】见面低胸包臀裙,上面深沟,下面大长腿,颜值虽不是我的菜,但身材让人无法拒绝。沙发落座后老师就贴过来了,撩骚几句,摸了几把,皮肤很滑。 先漱口,一起鸳鸯浴。边亲边洗,大蟒蛇,舌吻激烈,互亲互咬。正面背面全自动洗浴,洗完帮擦干全身。 到了床上,从上而下吻了下来,唇分后舔胸,带点轻咬,正面小漫游,一路舔到大

4👍1

19 Jul 2026, 01:15 UTC≈1,290 viewsread 7 August 2026

七月七,日琦,忽然下起了大雪,不敢睁开眼,害怕错过这感觉。

18 Jul 2026, 05:14 UTC≈2,010 viewsread 7 August 2026

已经不是第一次来了,外貌身材别的报告已经讲的非常到位,就不多赘述,轻车熟路来到科室,老师笑盈盈的在门口捂着嘴笑,提前换上高跟让整个人显得异常挺拔,在沙发上坐下搂着你就开始调情,这下哪受的了赶紧光速沐浴来到床上。口活还是这么惊艳,口交液挤一点,然后再用小手顺着根部一直磨擦到冠状沟,然后手扶着轻轻吮吸,边摸蛋蛋边用诱惑的眼神望着你,那副欲求不满的表情活脱脱一副仕女感,口的很有包裹感,节奏拿捏的恰到好处,没有定力可能就会交代到这里。 依旧换我给老师服务,这次起手不着急直接攻击花蕊,嘴在阴唇左右画圈,然后冷不丁直接舔到阴蒂向上一勾,然后配合吮吸速度加快,老师绷紧,两腿开始加紧乱扭我就知道到位了,带好套提枪上场,传教士体位随着我加速冲击,老师面色开始潮红,呻吟加剧,眼神开始迷离,边拉着我胳膊边恳求我抓住胸部,随着她身体开始止不住的颤抖,腹部也开始绷紧直到轻微抽搐,我也全部释放了出来。正如大家所说先天做爱圣体,享受性爱,情绪价值高,最重要的

17 Jul 2026, 02:38 UTC≈1,620 viewsread 7 August 2026

开课啦,很敏感,水很多,骚得很,百分百性爱恋爱感觉拉满,超越小羽毛的好妹妹陈梦琦

16 Jul 2026, 07:52 UTC≈2,230 views2 reactionsread 7 August 2026

@chengmengqi 普陀御姐 1600p GZS普陀中高端小区,无门禁楼禁,电梯直达老师门口,安全系数高。 梦琦非常热情,开门热情迎接主动拿水拿拖鞋,寒暄过后先洗澡,有陪浴,洗完会主动帮擦,拿漱口水,开好房间空调,服务十分细致周到。 到床上后先舌吻,舌吻非常主动,三点口技艺高超,口交前会含上口交水,边撸管边口是特色服务,感兴趣的ly一定要尝试。 做爱过程也十分投入,反应非常真实且激烈,传教士,后入,女上等各种姿势都试了一遍,大长腿+大屁股+极致腰臀比使得后入体验非常无敌,房间里还有一面大全身镜,对镜后入体验感拉满。 结束后依旧很热情的递水递毛巾陪聊,丝毫不会感到尴尬,整体体验极佳,在1500p左右性价比很高,还会返食,喜欢御姐的不能错过。

2

Showing the 12 most recent of 17 posts we hold for @guyunduoc. 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.

Citation-graph rank

Citation-graph rank — 331,502 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 4 registered channels — 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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“陈梦琦频道” (@guyunduoc), 1,837 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/guyunduoc.

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.