推荐指数:⭐️⭐️⭐️⭐️⭐️』 【女仆花名】: 兜兜 【年龄】:20 【身高】:163 【体重】:98 【凶器】:C 【体验日期】:8.10 【报告人】: 【店铺 】: #杭州仲夏女仆馆 【地区 】:#滨江区 【价格】:700单钟超大 【联系方式】:tg 客服@Zxia0001 【服务环境】:根据客服发的图,位置挺好找,有单独的包厢,私密性挺好 【亮点标签】: 【人照相似度】:9分 【妹妹风格类型】:大胸萌妹 ❤️体验感受:❤️ 【服务过程-小作文】 提前一天约了兜兜早班,时间还没到她就准时到店,已经换好约定的JK白丝,白丝裹着的腿又细又直,整个人软软的站在那儿等着。 一进包厢锁门,她就主动贴上来,舌吻又深又湿,手还不停地往胸口摸。胸真的很有料,软、弹、手感绝了,她一边让我吃一边轻轻喘,白丝被摸到发亮,最后直接撕开,配合得又乖又浪。中途我换了好几个体位,她全部顺着,姿势换得又软又热。 后半程开始飞机,她自己上油,双手又滑又紧地…

Channel
仲夏ω测评
@Zxia00003
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
5subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003606537660 |
|---|---|
| Type | Channel |
| Username | @Zxia00003 |
| Created | 10 April 2026 — measured — dated from the channel’s first post |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Zxia00003 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 02:32 | 5 | no change |
| 7 Aug 2026, 18:02 | 5 | first reading |
Engagement
12 posts held, back to 10 April 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 260.0%
- avg views ÷ 5 subscribers
- Avg views / post
- 13.0
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- 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.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 12 (10 April 2026 – 10 August 2026) |
| Views total | 13 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 02:32 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
- Links
- 1
Lifetime counters from Telegram’s own channel header, read 13 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 1 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 1reactions 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 10 April 2026 to 10 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
Channel photo updated
Channel name was changed to «仲夏ω测评»
推荐指数:⭐️⭐️⭐️⭐️⭐️』 【女仆花名】:芙芙 【年龄】:22 【身高】:165 【体重】:105 【凶器】:d 【体验日期】:5.22 【报告人】: 散散一 【店铺 】: #滨江小蛋糕女仆馆 【地区 】:#滨江区 【价格】:600 【联系方式】:tg 客服 @xiaodangao0007 【服务环境】:A 【亮点标签】: 胸大,骚骚 【人照相似度】:9分 【妹妹风格类型】:清纯女大反差 ❤️体验感受:❤️ 【服务过程-小作文】 本来是准备找马卡龙的,结果听说岸了,客服给推荐了芙芙,就过来体验体验,芙芙第一眼看过去就是有一点高冷的,没想到开口就瞬间拉近距离,因为是台湾腔哈哈,细枝结硕果说的就是芙芙的,皮肤也是光溜溜的,就是吻技也很好,算是一个小蟒蛇,芙芙胸前两点特敏感,多摸摸几下,反应都挺大的,跟芙芙聊天的时候,也是真的很性情了,哈哈哈,不知不觉时间就到了,最后跟芙芙亲了一下,就结束了。
半岛SPA模板:https://t.me/bd_spa 【出击时间】:4月29日 【出击老师/商家】:#小蛋糕女仆 @xiaodangao0007 【出击留名】:蔡徐坤 【开课位置】:上城区 【修车水费】:竞拍p 【服务点评】:微胖大奶 【过程描述】:又到了最爱的女仆竞拍环节,也是很幸运的花费不多就拿下了,随即就联系上了客服,预约好时间安排上了,中途看了几个大奶妹妹,无奈都满课了,后面客服又推荐了一个大奶妹,不得不说,客服的服务态度还是很好的,约好时间地点就到地方了,一个榻榻米的房间,妹妹走进来有点微胖,奶子大大,有点大姐姐的感觉,房间灯一关,氛围就起来了,拉住妹妹就是一顿舌吻,妹妹也是个大蟒蛇,边吻边摸奶子,奶子触感很好,又白又嫩,qq弹弹。抓在手里的手感真不错,亲了好久妹妹开始服务,开始舔我奶子,摸摸🐔儿,整个人就躺在那里享受,看着妹妹趴着服务,屁股翘起来摸着她的腰身,确实挺爽的,后面也是妹妹抹上润滑油,在妹妹丰满的大胸中…
❤1
推荐指数:⭐️⭐️⭐️⭐️⭐️』 【女仆花名】: 软糖 【年龄】: 【身高】: 【体重】: 【凶器】: 【体验日期】:4.29 【报告人】: 我的刀盾 【店铺 】: #滨江小蛋糕女仆馆 【地区 】:#滨江区 【价格】:600 【联系方式】:tg 客服 @xiaodangao0007 【服务环境】:优秀 【亮点标签】: 房间整洁,客服沟通顺畅 【人照相似度】:8 【妹妹风格类型】:偏i 人,清秀的小妹妹 ❤️体验感受:❤️ 【服务过程-小作文】 之前就在另一家店看到过软糖的摩卡,当时预约没约上,恰好今天看到新店上新有个熟悉的身影便赶忙驱车前往。 进来一看,妹妹人照有8分,但是穿搭过于朴素,这点建议以后改善,整体给人的感觉是刚下课的邻家女生,简单干净。 随后就是标准的标大流程,软糖的舌头比较短,舌吻的时候别有一番风味。值得一提的是软糖全身的皮肤都很光滑,让人爱不释手,是我去过那么多女仆里让我印象比较深刻的。 尺度方面目前是标准的标大…
推荐指数:⭐️⭐️⭐️⭐️⭐️』 【女仆花名】: 马卡龙 【年龄】:04 【身高】:170 【体重】:100 【凶器】:C+ 【体验日期】:4.16 【报告人】: 散散一 【店铺 】: #滨江小蛋糕女仆馆 【地区 】:#滨江区 【价格】:体验价 【联系方式】:tg 客服 @xiaodangao0007 【服务环境】:环境好 【亮点标签】: 说话很耿直,很大学生 【人照相似度】:9分 【妹妹风格类型】:青春风 ❤️体验感受:❤️ 【服务过程-小作文】前几天看马卡龙不在,今天马卡龙在,就过来体验体验,马卡龙第一眼看过去就是一眼看过去还比较高冷那种,没想到开口就瞬间拉近距离,马卡龙的身材是真的很好,细枝结硕果说的就是这样的,皮肤也是光溜溜的,就是吻技不太好,还得练练,马卡龙的敏感点在大腿上,多摸摸几下,马卡龙反应都挺大的,跟马卡龙聊天的时候,也是真的很性情了,哈哈哈,不知不觉时间就到了,马卡龙最后啵啵了一下,就结束了。
推荐指数:⭐️⭐️⭐️⭐️⭐️ 【女仆花名】:樱糕 【年龄】:06 【身高】:155cm - 160cm 【体重】:约105斤 【凶器】:C 【体验日期】:2026.04.17 【报告人】:青年 【店铺 】: #滨江小蛋糕女仆馆 【地区 】:#滨江区 【价格】:1100+车费 【联系方式】:tg 客服 @xiaodangao0007 【服务环境】: 整体环境干净整洁,房间私密性不错,床铺舒适,氛围偏温馨类型 【亮点标签】: 娇小可爱、反差感强、互动自然、情绪价值高 【人照相似度】: 10分,基本无差 【妹妹风格类型】: 外表清纯偏软妹,实际互动中带一点御姐气质,属于慢热但会撩的类型 ❤️体验感受:❤️ 整体体验非常舒服,属于那种越相处越有感觉的类型。情绪价值很高,互动不生硬,能很好带动氛围,有明显的“女友感”。过程自然流畅,没有刻意演的感觉,容易让人沉浸。 【服务过程-小作文】 初见时她有点害羞…
推荐指数:⭐️⭐️⭐️⭐️⭐️』 【女仆花名】: 马卡龙 【年龄】:没问 【身高】:170 【体重】:99 【凶器】:c+ 【体验日期】: 【报告人】: 【店铺 】: #滨江小蛋糕女仆馆 【地区 】:#滨江区 【价格】: 【联系方式】:tg 客服 @xiaodangao0007 【服务环境】:还可以,正常公寓,挺干净的 【亮点标签】: 大长腿,胸真的大,人又不胖 【人照相似度】:八到九分 【妹妹风格类型】:长得能萝能御很难得 ❤️体验感受:❤️ 妹子身高挺高,腿是真的长,胸有c+,很挺,妹子说自己胖了,其实刚刚好,一点不胖。再说颜值,御姐的身材,长腿细腰,但是脸蛋其实很可爱,反差拉满,很健谈,服务属于偏被动,偏素人,要自己发挥,不过妹妹会积极回应,总体来说值得二刷的妹子。
推荐指数:⭐️⭐️⭐️⭐️』 【女仆花名】: 樱糕 【年龄】:06 【身高】:155 【体重】:105 【凶器】:B+ 【体验日期】:4.13 【报告人】: 散散一 【店铺 】: #滨江小蛋糕女仆馆 【地区 】:#滨江区 【价格】:体验价 【联系方式】:tg 客服 @xiaodangao0007 【服务环境】:环境好 【亮点标签】: 说话软糯糯的 【人照相似度】:9分 【妹妹风格类型】:软妹 ❤️体验感受:❤️ 【服务过程-小作文】刚刚好看见小蛋糕在附近,就过来体验体验,樱糕第一眼看过去就是一个软萌的妹妹,没想到开口更像了,刚刚关上门,樱糕就来一个波波,去了那么多次女仆点,樱糕是最主动的,后面咋们家宽衣解带了,樱糕身体挺敏感的,亲哪里都能嘤嘤叫,时间匆匆而过,一会就结束了,唯一有一点不好就是樱糕的皮肤最近估计没护理的太好,不太顺~
Channel photo updated
Channel created
Showing the 12 most recent of 12 posts we hold for @Zxia00003. 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 — 867,119 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.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@Zxia00003 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 14 August 2026 – 15 August 2026
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“仲夏ω测评” (@Zxia00003), 5 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Zxia00003.
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.