Telegram RegisterThe public register of Telegram

Channel

杭州女仆馆测评专区

@maid_report

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

14,943subscribers

-161 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002488055747
TypeChannel
Username@maid_report
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/maid_report

Growth

14,94315,10415,023.58 August 2026 — 15,104 subscribers8 August 2026 — 15,104 subscribers9 August 2026 — 15,099 subscribers10 August 2026 — 15,092 subscribers11 August 2026 — 15,088 subscribers12 August 2026 — 15,080 subscribers13 August 2026 — 14,995 subscribers14 August 2026 — 14,943 subscribers8 August 202614 August 2026
8 measurements spanning 7 days, net -161. 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 14,919–15,128 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 16:4814,943-52
13 Aug 2026, 05:0514,995-85
12 Aug 2026, 06:3215,080-8
11 Aug 2026, 07:4215,088-4
10 Aug 2026, 04:1715,092-7
9 Aug 2026, 07:5115,099-5
8 Aug 2026, 04:2415,104no change
8 Aug 2026, 01:3215,104first reading

Engagement

20 posts held, back to 2 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.76%
avg views ÷ 14,943 subscribers
Avg views / post
711
4 posts measured
Reaction rate
0.133%
reactions ÷ views · ER floor
Posts in window
4
of 20 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 2 of 4 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 29 July 2026
Posts held20 (2 July 202629 July 2026)
Views total2,843
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 06:48 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

Photos
948
Videos
820
Links
860

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
2m 00s
Average length
12s

Measured directly from 10 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 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12100.0%

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 11 of the 20 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 20 most recent posts we hold, published 2 July 2026 to 29 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

29 Jul 2026, 14:57 UTC838 views2 reactionsread 15 August 2026

杭州女仆馆模板:https://t.me/maid_union 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【店铺名字】:月离 【妹子花名】:晴天 【验证留名】:月离女仆客服(蛋蛋) 【验证时间】:2026-07-29 【大概位置】:拱墅蓝钻 【课程费用】:600 【基础服务】:舌吻吃🐻✈️ 【人照相似】:人照一致 【身高身材】:御姐 腿玩年 【凶器罩杯】:b 【环境细节】: 【个人卫生】:超级爱干净 香香的妹妹 【时间管理】:7.25 【服务特色】:全自动洗澡流 【推荐程度】:10 【过程描述】: 推荐指数:⭐️⭐️⭐️⭐️⭐️』 【女仆花名】: #晴天 【年龄】:没问!默认18 【身高】:170 【体重】:没问!感觉90不到 【凶器】:b? 【体验日期】:7.25 【报告人】: 阿巴巴 【店铺 】: #拱墅月离优质女仆店 【地区 】:#拱墅区 【价格】:1100/双🕰️ 【联系方式】:tg 客

2

29 Jul 2026, 14:50 UTC705 viewsread 15 August 2026

杭州女仆馆模板:https://t.me/maid_union 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【店铺名字】:库洛可可 【妹子花名】:小米 【验证留名】:二十四回 【验证时间】:2026-07-29 【大概位置】:外派 【课程费用】:1200 【基础服务】:超大加 【人照相似】:9分 【身高身材】:大胸萝莉 【凶器罩杯】:D 【环境细节】: 【个人卫生】:有点懒,需要督促她洗澡 【时间管理】:节奏把握一般 【服务特色】:从标大到超大加,每次都在加大尺度 【推荐程度】:9 【过程描述】: 外派约了3次了,每次都有新变化,从最开始的萌妹穿连衣裙,到现在的性感辣妹穿情趣服饰,妆容打扮也变得精致起来。自述19岁,但是圆脸看着会更嫩一点,身高150左右,穿了增高鞋跟踩高跷似的。胸部是最突出的优点,差不多是d的乳腺胸,乳晕乳头都不大,并且没多少黑色素沉淀。皮肤光滑细腻,不过每次有不同的印痕,怀疑是

27 Jul 2026, 05:22 UTC671 views0 reactionsread 15 August 2026

【时间】:2026-07-27 【店铺】:赫兹 【留名】:杭州城西【赫兹女仆】【nvpu.love】 【人照】: 【颜值】: 【身材】: 【服务】: 【态度】: 【环境】: 【综合】: 【过程】: #赫兹 #依依 算是个人女仆生涯的Top2,标大妹妹,体验直接拉满。首先,妹妹很有素人感。刚开始的时候总在笑,作为i人特别懂,那是在用笑来缓解紧张,看着就很可爱。服务态度也特别好,卸甲之类的配合都很主动,完全不扭捏。颜值方面,虽然和模卡不大一样,模卡会显得脸型更圆、更有亲和力,真人则更瘦一点,但各有各的美,妹妹本人依然很好看。特别值得一提的是,妹妹是敏感活虾,敏感点包括但不限于耳朵、脖子、锁骨、腹部及外侧、背部、腿部等等,非常适合我这种喜欢给妹妹洗澡的人。妹妹身上香香的皮肤很白很光滑,聊天时给人一种纯洁又聪明的感觉,情绪价值拉满。总之,是不可多得的宝藏妹妹,也是我第一次对一个妹妹当场上头。有机会一定复刷

27 Jul 2026, 05:21 UTC629 viewsread 15 August 2026

【时间】:2026-07-27 【店铺】:赫兹 【留名】:杭州城西【赫兹女仆】【nvpu.love】 【人照】: 【颜值】: 【身材】: 【服务】: 【态度】: 【环境】: 【综合】: 【过程】: 👰:#依依;26年7月;#西湖区,#赫兹,@hertzboom;匿名者tzzjg,标大。 【姿色】:06,161,~98,B- 香槟色千层短裙套装利落清新,身材匀称,气质平和,细腰紧致,翘臀饱满光滑,肌肤软嫩光滑,肤色白皙。小方圆鹅蛋脸,面容清秀端正,爱笑。头发黑长直。淡妆也精致。略反骨耳。双手白嫩纤秀,指头尖而美丽。有美甲。未见纹身。 【服务】:标大满足 🐍:小巧细柳唇,中大蟒蛇,舌吻软嫩灵活,有嘤呜娇喘。 🐻:酥胸白皙软嫩,乳头小粉,盈手可握,光滑有弹性。 ❤️:气场平和,性格开朗,笑容妍妍,谈吐顺畅,娇柔敏感。 【标签 】: #少御 【店铺】: 商住楼,矿泉水/饮料,沙发垫,整洁,交通方便。 【评注】: 配合度良好。

12 Jul 2026, 13:30 UTC≈1,080 views2 reactionsread 15 August 2026
Forwarded from @xindongcepingPhoto

【妹子花名】:#荔枝 【妹子年龄】:20 【所属店铺】:#芯动女仆 【联系方式】:@kefuchacha 【验证留名】:@manlou hua 【验证时间】:7月12日 【大概位置】:#东站附近 【课程费用】:#600 【高端服务】:有的打✅ ① 舌吻 ✅ ② 摸胸✅ ③ 吃胸✅ ④情绪价值 ✅ ⑤隐藏服务 【人照相似】:人照8分,整体偏可爱那一卦 【身高身材】:腿型好看腿长,身上滑滑的 【凶器罩杯】:胸B,形状很好看,手感棒 【个人标签】:#清纯甜妹 【服务特色】:开朗健谈,配合度高破冰快~ 【环境细节】:公寓房间干净卫生 【个人卫生】:不抽烟,有漱口水 【时间管理】:准时全程无划水 【推荐程度】:9分,会二刷 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【流程小文】:来到东站结果买不到动车票,为了打发时间决定台风第一天出击.看到荔枝新人课表的第一

2

12 Jul 2026, 10:20 UTC859 views0 reactionsread 15 August 2026
Forwarded from @melo_guoguoVideo

店铺:麋鹿 女仆:果果 类型:害羞甜美型 出击人:ydd 出击时间:2026.07.10 首次服役时间: 环境: 公寓 人照相似度:10 罩杯:b 身材:修长匀称 身高:172 体重:99 皮肤:滑嫩 态度:害羞 敏感处: 胸 纹身:无 唇钉舌钉:有 吻技:小蟒蛇 👀好妹妹 本人会比摩卡上要好看 聊天方面整体给人的表现会比较舒服 吻技方面小蟒蛇 需要自己主动点。基本上你不停妹妹不停 妹妹双属性但不算特别深 尺度方面 正常超大 卸甲方面比较顺利,循序渐进即可🤔 注意:保持良好的卫生习惯会提升好感度 已经会考虑复刷或下次外派 尺度:8 敏感度:8 主动性:7 情绪价值:8 身材:8

12 Jul 2026, 07:47 UTC738 views1 reactionsread 15 August 2026
Photo

店铺:麋鹿 女仆:玉宝 类型:甜美型 出击人:不知名小玩家 出击时间:2026.07 首次服役时间:未知 环境:外派 人照相似度:8 罩杯:b 身材:前凸后翘 身高:165 体重:99 皮肤:滑嫩 态度:害羞 敏感处: 胸 纹身:无 唇钉舌钉:无 吻技:中蟒蛇 过程:这妹妹真的顶啊。身材正好,前凸后翘。脸看着越看越好看。🐻的话要是再大一些就好了。身材也正好,尤其屁股,超级大顶。妹妹很配合。妹妹超大拉满。水也很多。她真的是抖抖怪,而且不是那种装出来的夸张反应,是身体本能型。嘴上说没事,想继续嘴硬,但身体已经先一步露馅。耳朵很敏感,脖子也很敏感,胸也有反应。你靠近耳边,她会一下子绷住。轻轻吹一下,整个人就像被电了一下,肩膀先缩,腰再软,腿跟着乱。她不是那种只发声音的妹妹,她是整个人会抖。一个钟下来我给妹妹服务的很满意。妹妹给我也服务的很满意。 这个绝对超值。以我两月的cj经验。这种妹妹真的很少。

1

10 Jul 2026, 15:24 UTC773 viewsread 15 August 2026
Forwarded from @melo_guoguoVideo

店铺:麋鹿 女仆:果果 类型:害羞甜美型 出击人:花海 出击时间:2026.07.09 首次服役时间:6.27 环境: 公寓 人照相似度:10 罩杯:b 身材:修长匀称 身高:172 体重:99 皮肤:滑嫩 态度:害羞 敏感处: 胸 纹身:无 唇钉舌钉:有 吻技:小蟒蛇 过程:今天去了melo的果果。这妹妹真的顶啊。身材正好。大高个。娃娃脸。脸看着越看越好看。🐻的话要是再大一些就好了。身材也正好。妹妹很配合。该给的都会给。舌吻带唇钉别有一番风味。妹妹超大拉满。水也很多。一个钟下来我给妹妹服务的很满意。妹妹给我也服务的很满意。 这个绝对超值。以我两年的cj经验。这种妹妹真的很少。不小心貌似给妹妹脖子亲出了草莓。妹妹也不介意。 这个妹妹真的很顶。不过需要主动一点。幸福要靠自己争取。 颜值:8 尺度:8 敏感度:8 主动性:7 情绪价值:8 身材:9

8 Jul 2026, 10:36 UTC700 viewsread 15 August 2026

【妹子花名】:鱼鱼 【妹子年龄】:18 【所属店铺】:深藏blue @bluekefu1 【验证留名】:哈喽呀 【验证时间】:7.6 【大概位置】:闸弄口 【课程费用】:998/2h 【高端服务】:有的打✅ 1舌吻 ✅ 2摸胸 ✅ 3吃胸 ✅ 4情绪价值 ✅ 5可摸下 ✅ 6是否敏感 ✅ 【人照相似】:8-9 【身高身材】:160 80 【凶器罩杯】:b 【个人标签】:极品萝莉 【服务特色:非常敏感 害羞主动 【环境细节】:8.5 【个人卫生】:很香 【时间管理】:不划水 【推荐程度】:8.3+ 【流程小文】 看到深藏上了工兵 兑换后 体验下新人妹妹 到店妹子穿了一身jk 非常的棒 很受 脸蛋很精致 身上有纹身 让我想起了深藏传奇女仆日日 进入包厢 破冰环节聊天得知妹妹之前在读书因为个人原因暂时不读了 被朋友介绍来做女仆 妹子声音嗲嗲的 一声声哥哥叫我的都酥软 奶头超级

8 Jul 2026, 10:36 UTC830 views0 reactionsread 15 August 2026
Video

【妹子花名】:鱼鱼 【妹子年龄】:18 【所属店铺】:深藏blue @bluekefu1 【验证留名】:明明是 【验证时间】:7.7 【大概位置】:闸弄口 【课程费用】:499/h超大 【高端服务】:有的打✅ 1舌吻 ✅ 2摸胸 ✅ 3吃胸 ✅ 4情绪价值 ✅ 5可摸下 ✅ 6是否敏感 ✅ 【人照相似】:8 【身高身材】:160 左右偏瘦 【凶器罩杯】:b 【个人标签】:嫩妹 敏感 【服务特色:舌技无双 敏感出水 【环境细节】:8 【个人卫生】:干净卫生 【时间管理】:满钟 【推荐程度】:8.5 【流程小文】 预约了测评工兵 看到个不错的萝莉颜值可以就约了 到店看到真人 人照基本无差 很嫩皮肤很好 刚开始妹子就很热情把我迎接入包厢 本人比较主动 上来开始上下其手 妹妹开始娇喘 一会儿就达到顶峰 没想到如此敏感 轻轻一碰就跟跳虾一样 口技及其了得 让我根本受不了 手法尚有

8 Jul 2026, 09:19 UTC645 views1 reactionsread 15 August 2026
Forwarded from @shxjxjdmVideo

推荐指数:⭐️⭐️⭐️⭐️⭐️』 【女仆花名】: 小小 【年龄】:18 【身高】:160 【体重】:44 【凶器】:B 【体验日期】:7.6 【报告人】: ikun 【店铺 】: #拱墅月离优质女仆店 【地区 】:#拱墅区 【价格】:600 【联系方式】:tg 客服 @xhylnpdd 【服务环境】:公寓楼 大床房 【亮点标签】: 甜妹 足技了得 【人照相似度】:9 【妹妹风格类型】:甜妹 ❤️体验感受:❤️ 【服务过程-小作文】 前几天就想约小小了 可惜一直下雨耽误了 今天终于约到小小妹妹 一进门便看到可爱娇小的甜妹 小小四肢纤细 小鸟依人感无敌 是甜美风 小小很擅长聊天是个e人 全程不会冷场 聊着聊着情不自禁手就摸上去了皮肤雪白光滑如玉 卸甲顺畅 独留一甲简直美呆!舌吻 ˗ˋˏᰔᩚˎˊ˗ OK!因为妹妹真的真的很漂亮,所以自带兴奋剂buff 情绪一直高涨!看着妹妹水灵灵的大眼睛 直接让我颅内高潮 美呆我 开始我还想装

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7 Jul 2026, 11:36 UTC711 views1 reactionsread 15 August 2026

店铺:月离 女仆: 晴天 类型:全自动长腿御姐 出击人:老张 出击时间:2026.6.13 环境: 蓝钻比较大的公寓,我去的能洗澡的房间 人照相似度:8 罩杯:B+ 身材: 老张必吃榜 t0 身高:170 皮肤: 不算太白,但真的又滑又嫩 态度:顶级 抽烟:有 纹身:无 唇钉舌钉:无 吻技:大蟒蛇 晴天是我刚进圈子 cj 的妹妹,也算是我的玩法启蒙 初遇晴天是我在别家店吃屎后,下一钟找的她,本身已心灰意冷马上要上岸,结果被晴天拉了回来。借着这次机会又约了 2h 再续前缘,有了别样的体验。 第一次见晴天,一个词来形容就是很反差,声音奶声奶气的,是却有一张很欲的脸,虽然瘦,但腰身和臀腿都有着饱满的曲线,一个词来说就是肉欲感。 这位妹妹号称是全自动,我便躺在床上装死鱼,没想到遇到了真正的全自动。 从递漱口水开始就找各种借口引导我去亲她,基本上还没破冰就开始了蟒蛇行动,一边破冰一边破甲,她的手还会随时在身上游走,感

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Showing the 12 most recent of 20 posts we hold for @maid_report. 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 — 531,363 of 1,350,102entries 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

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 3 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“杭州女仆馆测评专区” (@maid_report), 14,943 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/maid_report.

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.