🤩💫💫#中秋快乐 #00后 #航班 #大班 #杭州禁乐园女仆馆 💫💫🤩 🎯9️⃣🥰2️⃣6️⃣课表 🎯 1️⃣#可可 14.30-2.00 (超大) 2️⃣#小羊 15.00-2.00 (超大) 3️⃣#姗姗 15.30-2.00(超大) 5️⃣#思思 14.30-2.00 (超大) 6️⃣#贝贝 17.30-2.00(超大) 7️⃣#芊芊 15.30-2.00(超大) 💴600/H 💴1200/ 2H 💴880/1H 💴1500外派2H 📥门店地址:#杭州 翠柏路地铁口 ✨✨✨✨✨✨✨✨✨✨ 💼预约客服 :@Xyylove520 💬交流: @hangzhounvpu588 🗓排班: @hangzhounvpu188 ❤️测评: @Xyyceping

Channel
杭州女仆禁乐园私影频道
@hangzhounvpu188
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
30,301subscribers
+4,835 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002387709861 |
|---|---|
| Type | Channel |
| Username | @hangzhounvpu188 |
| Description | 搜索引擎: @jisou 女友评测: @Xyyceping 讨论群组: @hangzhounvpu588 客服联系: @Xyylove520 双向限制: @Xyylove520bot |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/hangzhounvpu188 |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 08:17 | 30,301 | +783 |
| 17 Sept 2026, 09:19 | 29,518 | +72 |
| 15 Sept 2026, 11:21 | 29,446 | +101 |
| 13 Sept 2026, 23:20 | 29,345 | +163 |
| 12 Sept 2026, 02:39 | 29,182 | +408 |
| 9 Sept 2026, 18:19 | 28,774 | +267 |
| 6 Sept 2026, 13:55 | 28,507 | +212 |
| 4 Sept 2026, 07:20 | 28,295 | +80 |
| 2 Sept 2026, 22:35 | 28,215 | +142 |
| 1 Sept 2026, 23:05 | 28,073 | +64 |
| 31 Aug 2026, 20:13 | 28,009 | +104 |
| 30 Aug 2026, 21:28 | 27,905 | +8 |
| 29 Aug 2026, 23:57 | 27,897 | +211 |
| 28 Aug 2026, 22:56 | 27,686 | +58 |
| 27 Aug 2026, 19:36 | 27,628 | +80 |
| 26 Aug 2026, 22:12 | 27,548 | +145 |
| 26 Aug 2026, 00:54 | 27,403 | +73 |
| 25 Aug 2026, 00:13 | 27,330 | +108 |
| 23 Aug 2026, 11:27 | 27,222 | +30 |
| 21 Aug 2026, 23:38 | 27,192 | first reading |
Engagement
73 posts held, back to 4 August 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.64%
- avg views ÷ 30,301 subscribers
- Avg views / post
- 1,710
- 38 posts measured
- Reaction rate
- 0.082%
- reactions ÷ views · ER floor
- Posts in window
- 38
- of 73 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 29 of 38 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 September 2026 |
|---|---|
| Posts held | 73 (4 August 2026 – 25 September 2026) |
| Views total | 64,972 |
| Reactions total | 43 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 17:14 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
- ≈1,070
- Videos
- ≈595
Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 2m 51s
- Average length
- 13s
Measured directly from 13 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
82 reactions across 48 posts, in 2 distinct kinds. The most used accounts for 98.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 81 | 98.8% | |
| 😁 | 1 | 1.22% |
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 57 of the 73 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 82 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 4 August 2026 to 25 September 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
芊芊 高颜值新妹妹 预约滴滴啦
❤1
花名:芊芊 年龄:07 身高:170 体重:52 胸器:C 特点:上新了 颜控来约 07年妹妹 服务超顶 会叫床
🤩💫💫#中秋快乐 #00后 #航班 #大班 #杭州禁乐园女仆馆 💫💫🤩 🎯9️⃣🥰2️⃣5️⃣课表 🎯 1️⃣#桃子 14.30-2.00 (超大) 情趣女神 2️⃣#可可 14.00-2.00 (超大) 反差清纯 3️⃣#思思 16.30-2.00(超大) 钢琴老师 5️⃣#小七 14.30-2.00 (超大) 萝莉宝宝 6️⃣#贝贝 17.30-2.00(超大) 7️⃣#小羊 15.30-2.00(超大) 重磅回归21到29 8️⃣#朵朵 15.30-2.00(超大) 💴600/H 💴1200/ 2H 💴880/1H 💴1500外派2H 📥门店地址:#杭州 翠柏路地铁口 ✨✨✨✨✨✨✨✨✨✨ 💼预约客服 :@Xyylove520 💬交流: @hangzhounvpu588 🗓排班: @…
❤1
🤩💫💫#感谢信任 #00后 #航班 #大班 #杭州禁乐园女仆馆 💫💫🤩 🎯9️⃣🥰2️⃣4️⃣课表 🎯 1️⃣#桃子 14.30-2.00 (超大) 2️⃣#可可 14.00-2.00 (超大) 3️⃣#思思 15.00-2.00(超大) 5️⃣#小七 14.30-2.00 (超大) 6️⃣#贝贝 14.00-1.30(超大) 7️⃣#莎莎 15.30-2.00(超大) 8️⃣#软软 15.30-2.00(超大) 💴600/H 💴1200/ 2H 💴880/1H 💴1500外派2H 📥门店地址:#杭州 翠柏路地铁口 ✨✨✨✨✨✨✨✨✨✨ 💼预约客服 :@Xyylove520 💬交流: @hangzhounvpu588 🗓排班: @hangzhounvpu188 ❤️测评: @Xyyceping
杭州禁乐园女仆馆😎今日妹妹ootd 请哥哥们速来领取😎 环境安全私密😘装修干净豪华😎无附加消费😎 你是首选 更是例外 感谢选择禁乐园 ❗️桃子:万般烟火 你是心之所向(穿搭:隐藏款 冷白皮 服务型)图一 ❗️可可: 与其向往 不如和你共度当下 穿搭:紫色妹妹更有韵味 反差感拉满妹妹) ❗️露露: 一想到你 我的心就不老实 穿搭:高挑美少女 完美身材曲线 大长腿)
杭州禁乐园女仆馆😎今日妹妹ootd 请哥哥们速来领取😎 环境安全私密😘装修干净豪华😎无附加消费😎 你是首选 更是例外 感谢选择禁乐园 ❗️桃子:万般烟火 你是心之所向(穿搭:隐藏款 冷白皮 服务型)图一 ❗️可可: 与其向往 不如和你共度当下 穿搭:紫色妹妹更有韵味 反差感拉满妹妹) ❗️露露: 一想到你 我的心就不老实 穿搭:高挑美少女 完美身材曲线 大长腿) ❗️小七: 嘴巴有点闲 想亲亲你 找点事情做做 (穿搭:萝莉妹妹 白色丝袜加持 )
【妹子名字】:露露 【所属店铺】:杭州禁乐园 【验证留名】:@vincent0119 【验证时间】:2026.9.22 【大概位置】:翠柏路地铁口 【店铺费用】:大班 【人照相似】:九九成稀罕物 【身高身材】:175左右身高,高挑 【凶器罩杯】:b 罩杯 粉嫩 【服务特色】:舌吻,能聊得来 【环境细节】:10 【个人卫生】:10 【推荐程度】:9 【服务过程】:美美的一天联系山鸡哥预约到店,上楼找个电影看看等妹子进来,妹子进门特别有礼貌打招呼,穿着白色小短裤,175御姐风好长的大白腿,皮肤很好没有瑕疵。第一次见妹子很热情,会主动引导我说话聊天,简单漱口回躺在沙发上把妹子搂在怀里,手牵手气氛暧昧,凑近闻着发香,互相对视气氛逐渐暧昧,嗯嗯嗯我的双手不老实开始抚摸妹子的小蛮腰,抱紧贴贴妹妹很配合,主动还会跟我舌吻,持续时间很久,舌吻真的管饱。边亲边摸摸、吃着胸也特别酥软,妹妹舌吻拉丝,看着妹妹的脸颊红彤彤,开始架着大长腿把玩,妹子竟然…
❤1
🤩💫💫#感谢信任 #00后 #航班 #大班 #杭州禁乐园女仆馆 💫💫🤩 🎯9️⃣🥰2️⃣3️⃣课表 🎯 1️⃣#思思 14.30-2.00 (超大) 2️⃣#桃子 14.00-2.00 (超大) 3️⃣#可可 15.00-2.00(超大) 5️⃣#欧欧 14.00-2.00 (超大) 6️⃣#露露 14.00-1.30(超大) 7️⃣#莎莎 15.30-2.00(超大) 8️⃣#小七 15.30-2.00(超大) 9️⃣#软软 15.30-2.00(超大) 💴600/H 💴1200/ 2H 💴880/1H 💴1500外派2H 📥门店地址:#杭州 翠柏路地铁口 ✨✨✨✨✨✨✨✨✨✨ 💼预约客服 :@Xyylove520 💬交流: @hangzhounvpu588 🗓排班: @hangzhounvpu188 ❤️测评
❤1
🤩💫💫#感谢信任 #00后 #航班 #大班 #杭州禁乐园女仆馆 💫💫🤩 🎯9️⃣🥰2️⃣2️⃣课表 🎯 1️⃣#思思 14.30-2.00 (超大) 2️⃣#桃子 14.00-2.00 (超大) 3️⃣#可可 15.00-2.00(超大) 5️⃣#欧欧 14.00-2.00 (超大) 6️⃣#露露 14.00-1.30(超大) 7️⃣#莎莎 15.30-2.00(超大) 8️⃣#贝贝 15.30-2.00(超大) 9️⃣#软软 15.30-2.00(超大) 💴600/H 💴1200/ 2H 💴880/1H 💴1500外派2H 📥门店地址:#杭州 翠柏路地铁口 ✨✨✨✨✨✨✨✨✨✨ 💼预约客服 :@Xyylove520 💬交流: @hangzhounvpu588 🗓排班: @hangzhounvpu188 ❤️测评
🤩💫💫#感谢信任 #00后 #航班 #大班 #杭州禁乐园女仆馆 💫💫🤩 🎯9️⃣🥰2️⃣1️⃣课表 🎯 1️⃣#思思 14.30-2.00 (超大) 2️⃣#桃子 14.00-2.00 (超大) 3️⃣#可可 15.00-2.00(超大) 5️⃣#欧欧 14.00-2.00 (超大) 6️⃣#露露 14.00-1.30(超大) 7️⃣#莎莎 15.30-2.00(超大) 8️⃣#小七 15.30-2.00(超大) 9️⃣#软软 15.30-2.00(超大) 0️⃣#贝贝 16.30-2.00(超大) 💴600/H 💴1200/ 2H 💴880/1H 💴1500外派2H 📥门店地址:#杭州 翠柏路地铁口 ✨✨✨✨✨✨✨✨✨✨ 💼预约客服 :@Xyylove520 💬交流: @hangzhounvpu588 🗓排…
❤2
🤩💫💫#感谢信任 #航班 #大班 #杭州禁乐园女仆馆 💫💫🤩 🎯9️⃣🥰2️⃣0️⃣课表 🎯 1️⃣#思思 14.30-2.00 (超大) 2️⃣#桃子 14.00-2.00 (超大) 3️⃣#可可 15.00-2.00(超大) 5️⃣#欧欧 14.00-2.00 (超大) 6️⃣#露露 14.00-1.30(超大) 7️⃣#莎莎 15.30-2.00(超大) 8️⃣#小七 15.30-2.00(超大) 9️⃣#软软 15.30-2.00(超大) 💴600/H 💴1200/ 2H 💴880/1H 💴1500外派2H 📥门店地址:#杭州 翠柏路地铁口 ✨✨✨✨✨✨✨✨✨✨ 💼预约客服 :@Xyylove520 💬交流: @hangzhounvpu588 🗓排班: @hangzhounvpu188 ❤️测评: @Xyy
Showing the 12 most recent of 73 posts we hold for @hangzhounvpu188. 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.
Posts edited after publishing
@hangzhounvpu188 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 9 August 2026
- Most recent edit
- 3 September 2026
Mentions
Named by 7 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.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“杭州女仆禁乐园私影频道” (@hangzhounvpu188), 30,301 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/hangzhounvpu188.
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.