Telegram RegisterThe public register of Telegram

Channel

杭州迷之魅惑女仆恋爱体验资料馆

@foryinlove99

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

1,468subscribers

+11 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002390961097
TypeChannel
Username@foryinlove99
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/foryinlove99

Growth

1,4571,4681,462.57 August 2026 — 1,457 subscribers7 August 2026 — 1,457 subscribers8 August 2026 — 1,459 subscribers11 August 2026 — 1,465 subscribers14 August 2026 — 1,468 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net +11. 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 1,455–1,470 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 13:381,468+3
11 Aug 2026, 04:231,465+6
8 Aug 2026, 09:351,459+2
7 Aug 2026, 22:011,457no change
7 Aug 2026, 17:311,457first reading

Engagement

16 posts held, back to 2 April 2026the 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
65.0%
avg views ÷ 1,468 subscribers
Avg views / post
954
3 posts measured
Reaction rate
0.089%
reactions ÷ views · ER floor
Posts in window
3
of 16 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 1 of 3 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 3 August 2026
Posts held16 (2 April 20263 August 2026)
Views total2,861
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:01 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
59s
Average length
8s

Measured directly from 7 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

25 reactions across 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
25100.0%

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 16 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 25reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 2 April 2026 to 3 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

3 Aug 2026, 02:54 UTC641 viewsread 7 August 2026

半岛SPA模板:https://telegram.me/bd_spa 【出击时间】:8月1日 【出击老师/商家】:#迷之魅惑 @dfdtfgt2 【出击留名】:小鲨鱼 【开课位置】:东站 【修车水费】:竞拍半价 【服务点评】:一句话描述优缺点 【过程描述】:最少200字 拿下竞拍联系客服,客服推荐了乖乖妹妹,还是个隐藏款,看了看视频不错,就出发了,东站附近的公寓,初见妹妹,颜值身材不错,穿的也挺性感,因为是公寓有洗澡的地方,就稍微冲了一下,开始上钟,妹妹挺健谈的,在这里只是兼职,平时有正常工作,还没接过几单,怪不得是隐藏款,尺度下的都很配合,妹妹不会卡人,蛇蛇的话算是小蟒蛇,可以亲挺久,手也会在你身上亲肤挑拨,时间感觉差不多了就让妹妹帮我释放了出来,手法略显青涩,可以看出来飞机打的不多,还是挺有素人感的。非常不错的一次体验。 环境卫生:公寓房间,停车方便,出入无门禁 初见印象:房间是整洁,人照颜值,穿搭气质,身高比例,腿

29 Jul 2026, 10:31 UTC≈1,100 viewsread 7 August 2026
Video

半岛SPA模板:https://t.me/bd_spa 【出击时间】:6月30日 【出击老师/商家】: #迷之魅惑 @dfdtfgt2 【出击留名】:jc 【开课位置】:拱墅 【修车水费】:女仆工兵p 【服务点评】:一句话描述优缺点,bbw类型很乖很热情 【过程描述】:在商家的推荐下选择了白白,本质bbw热情大蟒蛇,真大蟒蛇吻得喘不过来气,有舌钉挺有意思的,肚脐也有钉,前凸后翘没的说皮肤紧致摸爽了,微胖型,但是腰挺细的观感不错,还会娇喘。 环境卫生:小区,停车方便,出入无门禁 初见印象:房间是整洁,人照颜值8分吧,穿搭气质性感类的,身高比例不错,腿长 深入了解:皮肤手感紧致有弹性,胸型大小有C,户型毛发没看,臀部体感软翘,无纹身,无抽烟。 服务项目:女仆 情绪价值:服务态度非常好很热情+时间管理宽松 总体印象:价格合理,喜欢微胖的选手值得二刷 流程细节:在一个下雨天的夜晚出击,空气清新,精神异常,见到白白时初印象是微胖类型,

29 Jul 2026, 10:28 UTC≈1,120 views1 reactionsread 7 August 2026
Video

#谜之诱惑 #宣萱 @dfdtfgt2 类型:#服务 #敏感 #情绪价值 价格:800/h 出击人:#KK 出击时间:2026.3.23 首次服役时间:未知 人照相似度:8分 身材:高挑御姐 皮肤:光滑 态度:主动 配合 敏感处: 全身 抽烟:未知 纹身:全身多处 唇钉舌钉:无 吻技:正常 过程:客服推荐宣萱作为御姐系的头牌。真人身材比模卡更凹凸有致,bbw未满的类型偏欧美系。 宣萱本人属于自我要求高的类型,初见略带一点点小害怕,显得有点小拘谨。聊天破冰后,发觉她属于身体敏感,嘴上羞耻的类型。随着play推进,宣萱御姐面具下的M属性便慢慢暴露了出来(可能因人而异)。合理要求皆可沟通满足。 总而言之,宣萱是一位反差御姐型选手,是不会有错的选择。

1

5 May 2026, 09:28 UTC≈6,140 views10 reactionsread 7 August 2026
Video

半岛SPA模板:https://t.me/bd_spa 【出击时间】:2026.5.3 【出击女仆/商家】:#池池 迷之魅惑女仆 @dfdtfgt2 【出击留名】:深禽 【开课位置】:东站 【修车水费】:工兵 【服务点评】:颜值加美腿满分 【过程描述】: 刚一上楼客服就热情的接待我,带我去池池的房间,细心的交代了房间有饮用水,也有洗澡的地方,设施都比较齐全。 一进房间灯光非常的温馨,进去第一眼我以为看走眼了,颜值和身材都没话,颜值几乎和照片一模一样,我一进去就热情的招待我上二楼,刚上去就让我睡在她旁边,细心的问我想看什么电影,我说都可以,她也没浪费时间,躺在一起先聊了一会天,彼此熟悉了解,刚开始还有些紧张,没过两分钟池池就把她的美腿放在我的腿上面,我瞬间就不紧张了。 我轻轻的抚摸她的美腿,池池的腿简直又细又白,手感也简直一级棒,池池也的主动的脱去她的上衣,轻声的和我说我们抓紧时间开始吧,她主动的帮我脱下衣服,池池跨坐在我

10

15 Apr 2026, 15:29 UTC≈3,680 views6 reactionsread 7 August 2026
Forwarded from @dongfang_dairyPhoto

#女仆 #高颜值 #小班 #情绪价值 迷之诱惑 #知知 客服: @dfdtfgt2 ————————————————— 颜值:跟上面照片一模一样 身材:高瘦,侧面看起来胸不小 吻技:没亲 尺度:小班 缺点: ————————————————— 情绪低谷的一束光——知知 一场emo到极致的夜晚 3月发生了很多事情,整个人状态很差,一直在内耗。难得的连假,本来想在家好好休息,结果却一个人emo了一整天。 实在受不了这种状态,晚上干脆跑出去自己一个人唱歌。 点开的歌单,全是emo神曲,一首接一首,越唱越上头,也越唱越空。 唱到一半的时候,突然想起之前收藏过一个顶美小班——知知。 也没多想,就把她喊了过来。 反正我人已经在她家附近的KTV了,就一边唱一边等她。 初见:像从画里走出来 知知到的时候,整个人和图一几乎一模一样。 黑色风衣,里面是黑色紧身衣,身材完全藏不住。 属于那种气质型美女,不是很张扬,但很抓眼。 但那天的我

6

8 Apr 2026, 14:20 UTC≈4,500 views1 reactionsread 7 August 2026
Video

#No866 店铺:#迷之魅惑 女仆:#满满 类型:#甜御 价格: 出击人:#九幺 出击时间:2026.2 首次服役时间:2025.10 环境: A 商住公寓 带独立卫浴 人照相似度:人照8 身材:胸C+ 身高:170 体重:100 皮肤:白度4.5,弹性4,平滑度4 态度:B 敏感处: 小豆 抽烟:无 纹身:无 唇钉舌钉:无 吻技:无 过程:到时间上楼,发现妹妹早早的就等在房间里了,说客户就是上帝,怎么能客人等自己,一顿猛夸,情绪价值拉满。 妹妹颜值不错,甜又甜又欲,上钟穿的是一件小香外套和短裤丝袜,丝袜还有几个破洞,这不勾人去撕么!妹妹是南方人,来这里是因为之前的地方被冲没了,但又不知道干什么就来了这家感觉会安全一点点,反正2小时呢,就花些时间和好妹妹聊聊天,妹妹手就是不老实、竟然伸进我的衣服里,想要摸我胸,说好了聊天还不老实,那就不能怪我咯,一看身材真不错,苗条匀称,白白嫩嫩的、双腿一并、一点缝都没有,只有内内上勾出浅

1

8 Apr 2026, 14:11 UTC≈4,040 views3 reactionsread 7 August 2026
Video

#No1008 店铺:#迷之魅惑 女仆:#孔孔 类型:#御姐 价格: 出击人:#GG Bond 出击时间:2025.04 首次服役时间:未知 环境: B,公寓 人照相似度:人照9 罩杯:胸B, 身材:人高,腿长,皮肤不松垮 身高:178 体重:未知,但是不胖没有赘肉,个人感觉属于中等偏瘦 皮肤:白度4,弹性5,平滑度4。 态度:A,配合度很好,该有的都有。敏感处: 这个哥们没有探索出来 抽烟:没有闻到烟味 纹身:无 唇钉舌钉:无 吻技:吻技ok,小蟒蛇 过程:进门妹妹在床上躺好,进门后自然躺在床上。开始随便聊了一些话题,后续就是开始正题,妹妹亲的很投入,非常配合,因为是新人的原因没有老人那么面面俱到,但是该有的都会有。慢慢抚摸妹妹的奶头似乎找到了一些之前和女友的感觉,后续妹妹温柔的解开我的南极人,开始了神功,最后顺利发泄。 总体来说:妹妹属于新人但是没有一点扭捏的样子,还是需要大家温柔对待。妹妹手活不是很好,但会问你的癖好,

3

Showing the 12 most recent of 16 posts we hold for @foryinlove99. 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

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

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

“杭州迷之魅惑女仆恋爱体验资料馆” (@foryinlove99), 1,468 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/foryinlove99.

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.