💕店铺名称:杜拉拉恋爱馆 🕐 营业时间14:00-24:00 🏡 门店地址:拱墅都宸公寓 8月12日出勤排班 #小乖 12-02 大学生素人 #泡泡 15-24 E人话痨 #小黎 14-24 萝莉反差 #慧慧 14-02 热情主动 #小爱 14-02 日系少女 #哈哈 17-02 大蟒蛇 💲 标准大班:600/h 🚗 外派服务:1200/2h + 来回路 📱 电报客服:@dllnvpu 📱 微信客服:twt120801 🤖 双向联系:@dlljqrbot 🗓 排班档案: @hzdllnvpd 📱 粉丝交流: @hzdllnvg 🤕 测评基地: @dllcpj

Channel
杭州杜拉拉女仆排班
@hzdllnvpd
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,504subscribers
-1,006 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1004326777910 |
|---|---|
| Type | Channel |
| Username | @hzdllnvpd |
| Description | 杜拉拉客服: @dllnvpu杜拉拉测评: @dllcpj 杜拉拉交流: @hzdllnvg双向机器人: @dlljqrbot |
| Created | Between 1 June 2026 and 1 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/hzdllnvpd |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 19:35 | 5,504 | -557 |
| 8 Aug 2026, 18:37 | 6,061 | -449 |
| 8 Aug 2026, 01:32 | 6,510 | first reading |
Engagement
12 posts held, back to 1 August 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 6 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.74%
- avg views ÷ 5,504 subscribers
- Avg views / post
- 371
- 9 posts measured
- Reaction rate
- 0.37%
- reactions ÷ views · ER floor
- Posts in window
- 12
- of 12 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 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 12 (1 August 2026 – 12 August 2026) |
| Views total | 3,340 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:11 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
- 3
- Videos
- 24
- Links
- 2
Lifetime counters from Telegram’s own channel header, read 12 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
- 54s
- Average length
- 9s
Measured directly from 6 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
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 2 of the 12 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 1 August 2026 to 12 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
💕店铺名称:杜拉拉恋爱馆 🕐 营业时间14:00-24:00 🏡 门店地址:拱墅都宸公寓 8月8日出勤排班 #小乖 12-02 大学生素人 #泡泡 15-24 E人话痨 #小黎 14-24 萝莉反差 #慧慧 14-02 热情主动 #小爱 14-02 日系少女 💲 标准大班:600/h 🚗 外派服务:1200/2h + 来回路 📱 电报客服:@dllnvpu 📱 微信客服:twt120801 🤖 双向联系:@dlljqrbot 🗓 排班档案: @hzdllnvpd 📱 粉丝交流: @hzdllnvg 🤕 测评基地: @dllcpj
💕店铺名称:杜拉拉恋爱馆 🕐 营业时间14:00-24:00 🏡 门店地址:拱墅都宸公寓 8月8日出勤排班 #小乖 15-24 大学生素人 #泡泡 15-24 E人话痨 #小黎 14-24 萝莉反差 #慧慧 14-24 热情主动 💲 标准大班:600/h 🚗 外派服务:1200/2h + 来回路 📱 电报客服:@dllnvpu 📱 微信客服:twt120801 🤖 双向联系:@dlljqrbot 🗓 排班档案: @hzdllnvpd 📱 粉丝交流: @hzdllnvg 🤕 测评基地: @dllcpj
WOW指南:优质推荐 👍 杜拉拉・拱墅|客服 妹妹:小乖 数据:160/90/B 类型:甜御 标签:颜值/高情绪价值/敏感/素人 🔤背景回顾 看到新店有新妹妹上新,照片看着挺吸引人,老板说这个妹妹,人照差距很小,而且是素人,刚上了2天。越好了时间,随机就出发吧!简直是巧了,刚好在一楼时候就撞见了妹妹。我心想,该不是就是这个妹妹,暗自窃喜。到了店里,果然是她。哈哈,妙,看来今天来对了。 🔤在读女大暑期短暂兼职 妹妹领着进了房间,随即和她聊开了。得知是纯正在读女大。外地刚来杭,准备上满整个暑假,挣点零花钱。青春的面貌,果然好看,环顾了一下,感觉就是嫩!我说我是i人怎么办,妹妹说自己是半E半i,可以治治我。挽着我,就闲聊起来。妹妹是东北人,哈哈,聊天很有意思。和她切磋了澡堂文化,以及小擦边内容等等,小小年纪,还是懂点东西的,挺有趣的。 聊天破冰熟悉后,于是我就主动凑了上来,妹妹也很配合。整体中蟒蛇的体验,亲了很久,最后都快歇气…
❤2
💐💐💐开奖了💐💐💐 杜拉拉恋爱女仆新店开业福利 开奖了! 本期总参与人数: 7172 1- 北乾 (翻倍1) 获得:口令红包52 2- 暗中人 (翻倍1) 获得:口令红包52 3- 夜梦呓语 (翻倍1) 获得:口令红包88 谨祝中奖用户大吉大利万事顺意
💕店铺名称:杜拉拉恋爱馆 🕐 营业时间14:00-24:00 🏡 门店地址:拱墅都宸公寓 8月5日出勤排班 #小乖 15-24 大学生素人 #泡泡 15-24 E人话痨 #小黎 14-24 萝莉反差 #慧慧 14-24 热情主动 💲 标准大班:600/h 🚗 外派服务:1200/2h + 来回路 📱 电报客服:@dllnvpu 📱 微信客服:twt120801 🤖 双向联系:@dlljqrbot 🗓 排班档案: @hzdllnvpd 📱 粉丝交流: @hzdllnvg 🤕 测评基地: @dllcpj
💕店铺名称:杜拉拉恋爱馆 🕐 营业时间14:00-24:00 🏡 门店地址:拱墅都宸公寓 8月3日出勤排班 #小乖 15-24 大学生素人 #泡泡 15-24 E人话痨 #小黎 14-24 萝莉反差 #慧慧 14-24 热情主动 💲 标准大班:600/h 🚗 外派服务:1200/2h + 来回路 📱 电报客服:@dllnvpu 📱 微信客服:twt120801 🤖 双向联系:@dlljqrbot 🗓 排班档案: @hzdllnvpd 📱 粉丝交流: @hzdllnvg 🤕 测评基地: @dllcpj
素人小乖
❤1
🎰 杜拉拉恋爱女仆新店开业福利 📮 抽奖条件: 🎫 加入-杭州女仆馆 🎫 加入-杭州女仆馆新人女仆 🎫 加入-杭州杜拉拉女仆排班 🎫 加入-杭州杜拉拉女仆馆 🍀 每100分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 口令红包52 × 2 口令红包88 × 1 💡 活动说明: 本次活动由 #杜拉拉 @dllnvpu 独家赞助 📅 开奖日期:(UTC+8) 2026年08月04日 20时02分44秒
Channel photo updated
Messages in this channel will no longer be automatically deleted
Messages in this channel will be automatically deleted after 1 day
Showing the 12 most recent of 12 posts we hold for @hzdllnvpd. 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 — 1,375,108 of 1,478,351entries 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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“杭州杜拉拉女仆排班” (@hzdllnvpd), 5,504 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/hzdllnvpd.
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.