杭州茶馆群专用报告模板: 【验证留名】:张无忌 【验证时间】:8.12 【妹子花名】:萌萌 【联系方式】: @mengccxx 【所在位置】:东站 【修车水费】:700p 【照片相似】:9 【颜值身材】:御姐身材 【凶器罩杯】:C 【服务项目】:写的都可以做, 【服务详情】: 看老师频道没有检测,所以自带了一个检测,都不会用扎了好几次,老师也没有说什么,检测出来也没毛病,然后就是交水费。有陪浴服务,还有水中萧。洗完老师穿上丝袜,和老师激情🐍,大蟒蛇这个管饱,后面传统姿势边做边🐍,123发射。进入贤者时刻,后面老师开始做服务,吸皮,口含热水帮你口。还有舔胸这个很有感觉,硬了就戴套女上,然后老师累了,就换了个后入,后面再换成传统姿势依旧123。老师服务态度好,话多不尴尬。 【优点缺点】: ★以上报告来自杭州茶馆群(@hzcg20258),仅代表客户个人观点,每个人喜好不一,报告仅供参考!★ ----------------…

Channel
上城🌸萌萌
@mengmeng520ai
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
663subscribers
+12 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004302408303 |
|---|---|
| Type | Channel |
| Username | @mengmeng520ai |
| Created | Between 1 June 2026 and 21 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/mengmeng520ai |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 15:56 | 663 | +12 |
| 14 Aug 2026, 19:31 | 651 | no change |
| 14 Aug 2026, 19:25 | 651 | first reading |
Engagement
15 posts held, back to 21 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 248.3%
- avg views ÷ 663 subscribers
- Avg views / post
- 1,650
- 14 posts measured
- Reaction rate
- 0.051%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 15 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 8 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 15 (21 July 2026 – 14 August 2026) |
| Views total | 23,047 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 19:31 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
- 20s
- Average length
- 20s
Measured directly from 1 video 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
7 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 100.0% |
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 8 of the 15 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 21 July 2026 to 14 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
开课了头课🉑🈷
杭州探花楼(最真实的玩家交流群) 【出击时间】:2026-07-29 【老师艺名】:萌萌 【出击留名】:rokohi 【人照打分】:8 【身材打分】:8 【服务打分】:10 【态度打分】:10 【环境打分】:9 【综合打分】:9 【体验详细】:有幸抢到老师拼团,老师课室在东站附近,小区无门禁。遥控上楼后老师已开门等待。老师是鹅蛋脸的少妇,除去美颜和人照基本一致。交完水费后一起洗澡,老师的鸳鸯浴不只是帮洗,是会前前后后互蹭,而且洗的很细致,再水中萧后擦干上床。选择先做一次,舔胸口完戴套女上,遗憾被秒了。开始做B面服务,从肩到腿的吸皮过水,胸推、指滑再是毒龙。然后A面再来一遍提套上阵,无奈有点疲软,最后手出,洗澡离去。 老师的服务非常好,喜欢服务系的非常推荐。
❤1
杭州探花楼(最真实的玩家交流群) 【出击时间】:2026-07-29 【老师艺名】:萌萌 【出击留名】:爱情毒药 【人照打分】:8 【身材打分】:8 【服务打分】:9 【态度打分】:9 【环境打分】:8 【综合打分】:8.4 【体验详细】:换了拼团嫖,约好时间,坐地铁到东站,出来还要走几百米,见到老师先交水费 ,二刷了比一次放松,陪浴比较舒服,老师用巨乳贴着我的背,正面还有水中萧,洗完擦干到床上,选择做两次,先给我口,技术好无齿感,戴套女上,水很多,大蟒蛇,123结束,还有事后萧,休息期间还会做服务,第二次后入,包裹感强还会夹,情到深处拉着我的手,不断加速,彻底榨干了。老师性格温柔,服务周到,强烈推荐
上城🌸萌萌 pinned a photo
✨ 命运揭晓时刻 ✨ 上城区萌萌p半价卷 开奖了 抽奖人数:83,发言达标人数:64,抽奖号数:147 1. 一🦆一🦆悠【祝福12次】 中得:p半价优惠卷 抽奖说明: ❶刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息、撤回内容等,一律视为无效发言,取消中奖资格!请用心交流! ❷请三天内约课,五天内完成上课,因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! ❸活动最终解释权归本群管理团队所有。 ⚠️自言自语刷屏再删消息的都会被永久封禁,且中奖无效!删消息必永久封禁! ❗️❗️❗️中奖人员拉黑30天,出报告解黑,连续中奖3次不去或不出报告永久拉黑 兑奖请联系:@mengccxx 🔍 杜绝黑幕,点击查看本次开奖全程验证
❤3
杭州探花楼(最真实的玩家交流群) 【出击时间】:2026-07-29 【老师艺名】:萌萌 【出击留名】:lalalalique 【人照打分】:9 【身材打分】:8 【服务打分】:10 【态度打分】:10 【环境打分】:9 【综合打分】:9.2 【体验详细】:看到好多人推荐就兑换了老师的拼团出发了,看到老师有PP果断选pp,到房间老师主动陪洗浴,浴室服务非常好之前出击都没碰到过,然后老师会问需要p或者pp,选择pp服务会少,本来想着自己是123果断选择了pp,做完一次之后直接进入贤者模式,服务也没做了,提裤子走人,老师服务很好建议大家还是选择p吃满服务不会失望
🎉 上城区萌萌p半价卷 🎁 奖品清单 • p半价优惠卷 × 1 🛡️ 参与条件 • 加入 杭州星颜社 • 加入 上城🌸萌萌 • 加入 杭州星选榜 • 参加抽奖后需在 杭州星颜社 内发言10次 └ 群内发送“抽奖进度”查看完成度(每日限5次) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:20颜值 • 祝福上限:40次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-07-30 17:35:00 📜 抽奖说明 ❶刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息、撤回内容等,一律视为无效发言,取消中奖资格!请用心交流! ❷请三天内约课,五天内完成上课,因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! ❸活动最终解释权归本群管理团队所有。 ⚠️自言自语刷屏再删消息的都会被永久封禁,且中奖无效!删消息必永久封禁! ❗️❗️❗️中奖人员拉黑30天,出报告解…
今晚有空位🉑🈷
❤1
每月现金红包、福利抽奖、老师半价、白嫖各种福利 杭州星颜社【狼友老师交流群】 https://t.me/hzxys77 「以星辰为誓,以荣耀为冠; 以骑士之名,守护星媛之光。」
杭州茶馆群专用报告模板: 【验证留名】:xiao 【验证时间】:7.25 【妹子花名】:萌萌 【联系方式】: @mengccxx 【所在位置】:东站 【修车水费】:700p 【照片相似】:9 【颜值身材】:少妇身材 【凶器罩杯】:C 【服务项目】:都有10分 【服务详情】: 二刷了,联系好,直奔地点,上楼。一起洗漱。然后直奔主题,各方面没问题。体验感不错,舌吻大蟒蛇 女上。最后高潮规律夹紧结束。值得再刷 【优点缺点】:舌吻到位,姿势配合。 ★以上报告来自杭州茶馆群(@hzcg20258),仅代表客户个人观点,每个人喜好不一,报告仅供参考!★ ---------------------------------------- 【注】:为了提高报告的真实性,所有老师提供报告的时候需要另外提供下该客户发报告时的聊天记录截屏。
骚骚的我喜欢色色的你😍
Showing the 12 most recent of 15 posts we hold for @mengmeng520ai. 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 — 955,043 of 1,480,688entries 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 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“上城🌸萌萌” (@mengmeng520ai), 663 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/mengmeng520ai.
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.