🎰 月兔恋爱女仆的宠粉福利 📮 抽奖条件: 🎫 加入-杭州女仆馆 🎫 加入-杭州女仆馆新人女仆 🎫 加入-月兔排班 🎫 加入-月兔颜值旗舰坊(吃瓜闲聊) 🍀 每10分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 双钟800 × 1 100优惠券 × 5 200优惠券 × 10 💡 活动说明: 本次活动 #月兔 @yuetukkfu 独家赞助 📅 开奖日期:(UTC+8) 2026年09月04日 13时17分25秒

Channel
杭州女仆馆新人女仆
@maids_certificate
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
16,825subscribers
+2,815 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 | -1003936448137 |
|---|---|
| Type | Channel |
| Username | @maids_certificate |
| Created | Between 1 April 2026 and 6 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/maids_certificate |
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 87% 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 |
|---|---|---|
| 19 Sept 2026, 13:15 | 16,825 | +839 |
| 17 Sept 2026, 02:59 | 15,986 | -117 |
| 15 Sept 2026, 05:38 | 16,103 | -427 |
| 13 Sept 2026, 16:37 | 16,530 | +127 |
| 11 Sept 2026, 19:55 | 16,403 | +309 |
| 9 Sept 2026, 08:17 | 16,094 | +492 |
| 6 Sept 2026, 02:42 | 15,602 | -134 |
| 4 Sept 2026, 01:21 | 15,736 | +83 |
| 2 Sept 2026, 14:46 | 15,653 | +508 |
| 1 Sept 2026, 13:11 | 15,145 | +685 |
| 31 Aug 2026, 12:56 | 14,460 | +175 |
| 30 Aug 2026, 11:05 | 14,285 | +21 |
| 29 Aug 2026, 09:49 | 14,264 | +439 |
| 28 Aug 2026, 06:44 | 13,825 | +248 |
| 27 Aug 2026, 03:22 | 13,577 | -108 |
| 26 Aug 2026, 00:23 | 13,685 | -69 |
| 25 Aug 2026, 01:24 | 13,754 | +436 |
| 23 Aug 2026, 16:09 | 13,318 | -303 |
| 22 Aug 2026, 04:27 | 13,621 | -691 |
| 21 Aug 2026, 00:03 | 14,312 | first reading |
Engagement
121 posts held, back to 6 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 53 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.98%
- avg views ÷ 16,825 subscribers
- Avg views / post
- 165
- 58 posts measured
- Reaction rate
- 0.134%
- reactions ÷ views · ER floor
- Posts in window
- 58
- of 121 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 5 of 58 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 121 (6 August 2026 – 3 September 2026) |
| Views total | 9,562 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:20 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
- 5m 33s
- Average length
- 10s
Measured directly from 32 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
18 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 94.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17 | 94.4% | |
| 😁 | 1 | 5.56% |
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 23 of the 121 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 18 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 121 most recent posts we hold, published 6 August 2026 to 3 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
#迪士尼 @Nike_999 #梦梦 新人价450单超*2,需出测评 ⚠️自助提交:@maides_bot(开始—写车评—发送店铺名-提交) ①群内发送”新人“参与,凭兑换截图核销,改期未报备或12小时内未预约作废,1日内未出击并出测评移除群聊 ②群内发送“测评”获取模板,填写并自助提交,审核通过视为接收成功,优秀测评可加100-200萌点
#迪士尼 @Nike_999 #橙子 新人价450单超*2,需出测评 ⚠️自助提交:@maides_bot(开始—写车评—发送店铺名-提交) ①群内发送”新人“参与,凭兑换截图核销,改期未报备或12小时内未预约作废,1日内未出击并出测评移除群聊 ②群内发送“测评”获取模板,填写并自助提交,审核通过视为接收成功,优秀测评可加100-200萌点
─────新人优惠───── 群内发送“新人”参与,兑换后需出测评,出击时间须在一日内 兑换区 绮梦: 依依 桃奈奈:小醉 赫拉:葵葵 梦之遇:小琦 欣欣
🎰 Milk恋爱女仆的宠粉福利 📮 抽奖条件: 🎫 加入-杭州女仆馆 🎫 加入-杭州女仆馆新人女仆 🎫 加入-Milk恋爱体验馆 🍀 每100分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 二免一700(需出测评) × 1 单钟100优惠券 × 10 双钟200优惠券 × 5 💡 活动说明: 本次活动由 #milk @milknpkf 独家赞助 📅 开奖日期:(UTC+8) 2026年09月04日 14时00分00秒
🎰 圆圆恋爱女仆的宠粉福利 📮 抽奖条件: 🎫 加入-杭州女仆馆 🎫 加入-杭州女仆馆新人女仆 🎫 加入-杭州拱墅区圆圆女仆馆闲聊群 🍀 每10分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 双钟800 × 10 💡 活动说明: 本次活动由 #圆圆 @XYYNPG 独家赞助 📅 开奖日期:(UTC+8) 2026年09月03日 22时36分20秒
🎰 曼秀雷敦恋爱女仆的宠粉福利 📮 抽奖条件: 🎫 加入-杭州女仆馆 🎫 加入-杭州女仆馆新人女仆 🎫 加入-曼秀雷敦纯爱女仆交流群 🍀 每100分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 双钟800 × 1 单⏰100优惠券 × 10 双⏰200优惠券 × 5 💡 活动说明: 本次活动由 #曼秀雷敦 @Manxiu_F 独家赞助 📅 开奖日期:(UTC+8) 2026年09月03日 20时32分47秒
🎰 月兔恋爱女仆的宠粉福利 📮 抽奖条件: 🎫 加入-杭州女仆馆 🎫 加入-杭州女仆馆新人女仆 🎫 加入-月兔排班 🎫 加入-月兔颜值旗舰坊(吃瓜闲聊) 🍀 每10分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 双钟800 × 1 100优惠券 × 5 200优惠券 × 10 💡 活动说明: 本次活动 #月兔 @yuetukkfu 独家赞助 📅 开奖日期:(UTC+8) 2026年09月04日 13时17分25秒
#拱墅 #半套 #SPA #半裸92 #丝足 #双喜 杭州【实体丝足SPA】大型门店92会所 【拱墅运河】【拱墅万科】 【城西银泰】【上城四季青】 2000平豪华大型门店会所,环境高端大气上档次,到店任意挑选。年均20-26岁,半裸服务,技师半裸你全裸,上下可以摸,丝袜随便撕,出水不限次,可手法-可足交。停车方便,免费过夜 预约咨询:@KF17606660📱📱 双向机器人🤖@kf16661bot 🥰总频道:@PD07770【相册选妃】 🥰交流群:@SP08880【抽免单卷】 🥰体验榜:@TY09990【战术参考】 一一一一一一一一一一一一一一一 ⚠️不充值不办卡,没有任何隐形消费,先体验服务满意了前台买单,支持现金-微信-支付宝-花呗-信用卡。安全靠谱信誉商家
🎰 月兔恋爱女仆的宠粉福利 📮 抽奖条件: 🎫 加入-杭州女仆馆 🎫 加入-杭州女仆馆新人女仆 🎫 加入-月兔排班 🎫 加入-月兔颜值旗舰坊(吃瓜闲聊) 🍀 每10分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 双钟800 × 1 100优惠券 × 5 200优惠券 × 10 💡 活动说明: 本次活动 #月兔 @yuetukkfu 独家赞助 📅 开奖日期:(UTC+8) 2026年09月04日 13时17分25秒
─────新人优惠───── 群内发送“新人”参与,兑换后需出测评,出击时间须在一日内 兑换区 绮梦: 依依 桃奈奈:小醉 赫拉:葵葵 梦之遇:小琦 欣欣
🎰 曼秀雷敦恋爱女仆的宠粉福利 📮 抽奖条件: 🎫 加入-杭州女仆馆 🎫 加入-杭州女仆馆新人女仆 🎫 加入-曼秀雷敦纯爱女仆交流群 🍀 每100分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 双钟800 × 1 单⏰100优惠券 × 10 双⏰200优惠券 × 5 💡 活动说明: 本次活动由 #曼秀雷敦 @Manxiu_F 独家赞助 📅 开奖日期:(UTC+8) 2026年09月03日 20时32分47秒
Showing the 12 most recent of 121 posts we hold for @maids_certificate. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 12 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.
@maids_verified · 31,5535 posts杭州杜拉拉女仆排班
@hzdllnvpd · 2012 posts杭州小花园女仆馆频道
@hhl25533 · 5251 post杭州胡春女仆馆(测评)
@hzhc888888 · 1,7501 post棉花糖选人大厅
@mhtxr1124 · 1,0891 post杭州女儿国频道介绍
@nverguo112233 · 1,7081 post杭州塔菲喵女仆恋爱馆
@ouruolanvpu · 13,4571 post诗情画意桌游店
@sqhy3557 · 2,0031 post碎碎念女仆恋爱体验馆
@suisuinan · 8711 post杭州甜蜜到家女仆店
@tmdj000 · 2,5721 post杭州拱墅Labubu女仆约会
@yinmai7592 · 2,2961 post月兔排班
@yuetupaibban · 3891 post
Names
Channels on the register whose handles appear in this channel's posts.
@maid_union · 36,64274 posts曼秀雷敦纯爱女仆交流群
@Manxiuleidu · 7,3827 postsLabubu顶颜女仆恋爱体验
@labubu7592 · 8,9226 posts杭州诗情画意女仆交流群
@sqhy3558 · 4,7506 posts欢乐岛·拱墅女仆馆
@wygpb456 · 8,2786 posts佛跳墙女仆体验馆(超大)
@Fotiaoqiangnp · 2,2065 posts棉花糖恋爱体验馆交流群
@mht96961124 · 8,1835 posts棉花糖选人大厅
@mhtxr1124 · 1,0895 posts萌酱丽莎私影
@mjls0 · 3,4345 posts杭州拱墅区圆圆女仆馆闲聊群
@yynpxlq · 11,9965 posts杭州女仆星悦恋爱体验馆
@asklhfdklsa · 3,5844 posts星星屋女仆交流群(颜值版)
@bjlanvty · 8,9364 postsKitty岛 恋爱日记女仆馆📚
@hello_kittynvpuguan · 6,3804 posts塔菲喵3.0交流群
@ouruola123 · 15,8424 posts杭州欢乐岛女仆恋爱馆新群
@wangyouge999 · 11,6174 posts杭州上城绮梦恋爱女仆馆
@wodunau · 4,1384 posts月兔排班
@yuetupaibban · 3894 posts杭州小花园女仆交流群
@hhl254202 · 3,0243 posts杭州胡桃女仆恋爱体验
@hutaozhuoyou · 4,9893 posts🎀雾桃坊🎀-交流室顶美聚集地
@hznp78 · 9613 posts秘密
@hznp78911 · 1153 posts蜜糖恋爱女仆交流群
@kpblxw · 3,4593 postsPUPU女仆玩家交流群
@SCpupu_exchange · 4,4573 posts杭州甜蜜到家女仆店
@tmdj000 · 2,5723 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@maids_certificate named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 31 August 2026 – 31 August 2026 · confirmed gone 7 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“杭州女仆馆新人女仆” (@maids_certificate), 16,825 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/maids_certificate.
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.