【出击报告】https://t.me/gzymsc7 【老师艺名】小郁宅猫猫 【联系方式】@YZmaomao 【所在位置】白云 【验证留名】baby 【验证时间】8.15 【修车费用】800 【颜值身材】颜值漂亮,身材协调匀称,算很美的玉体 【服务内容】xcz+69 【服务态度】很健谈,很温柔,体贴 【优点缺点】皮肤白皙样貌可爱 【推荐程度】必返 【体验细节】进门一看基本和照片没啥区别,高高瘦瘦的,长相很好看,眉眼很温柔,不是那种攻击性很强的五官,是看着很赏心悦目的类型。身材让人惊喜,穿衣显瘦,脱衣有肉,抱起来软软的。洗完就一起进了房间,服务过程能感受到用心,加上房间收拾得很整洁,能看出是爱干净的女生。抱着互相抚摸会有很自然的反应,就跟女友一样,笑起来也是如沐春风,前戏后很快都进入了状态,会紧紧抱着,就像互相融入了对方,整个过程行云流水,各种姿势都很配合,在一声声中喘息中交出了货。完事后也一点不催,会陪着一起休息聊聊天。总之是值…

Channel
广州小萝莉猫猫的日常
@XLLmaomao
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,521subscribers
-193 since we began measuring on 18 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003758650538 |
|---|---|
| Type | Channel |
| Username | @XLLmaomao |
| Created | Between 1 February 2026 and 22 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 September 2026 |
| On Telegram | t.me/XLLmaomao |
Topic
Adult — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 |
|---|---|---|
| 14 Sept 2026, 07:21 | 2,521 | -4,364 |
| 11 Sept 2026, 02:38 | 6,885 | -133 |
| 5 Sept 2026, 21:38 | 7,018 | +4,111 |
| 1 Sept 2026, 10:56 | 2,907 | -237 |
| 29 Aug 2026, 04:28 | 3,144 | +80 |
| 26 Aug 2026, 01:27 | 3,064 | +34 |
| 23 Aug 2026, 07:15 | 3,030 | +253 |
| 19 Aug 2026, 08:46 | 2,777 | +63 |
| 18 Aug 2026, 10:30 | 2,714 | first reading |
Engagement
20 posts held, back to 22 July 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 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.14%
- avg views ÷ 2,521 subscribers
- Avg views / post
- 54.0
- 2 posts measured
- Reaction rate
- 0.98%
- reactions ÷ views · ER floor
- Posts in window
- 2
- of 20 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 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 August 2026 |
|---|---|
| Posts held | 20 (22 July 2026 – 18 August 2026) |
| Views total | 108 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 10:30 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
- 16s
- Average length
- 8s
Measured directly from 2 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
4 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 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 5 of the 20 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 22 July 2026 to 18 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
🎉 广州茶馆-猫猫半价券 🎁 奖品清单 • p半价券(必须写报告) × 1 🛡️ 参与条件 • 加入 广州茶馆 • 加入 小萝莉猫猫的日常 • 加入 广州茶馆甄选轮播群 • 加入 广州茶馆-在榜老师(新榜) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:5圣晶石 • 祝福上限:600次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-08-22 20:08:00 📜 抽奖说明 1:刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息等,一律视为无效发言,取消中奖资格!请用心交流! 2:中奖后7天内出击,完成必须写报告!没出报告的拉黑抽奖!写报告:@gzcg1bot 3:写报告抽500现金和巨量圣晶石!!! 兑奖 @YZmaomao ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。
❤1
【广州茶馆】:https://t.me/gzcg9 【时间】:2026-08-15 【老师】:猫猫 【账号】:@YZmaomao 【留名】:AG凯发_林霸天 【颜值】:8分 【身材】:颜值很不错身材是我喜欢的有肉感,皮肤正常,🐻粉粉嫩嫩的也大 【罩杯】:b+ 【服务】:妹子全程配合度高,很舒服,给力,强烈推荐 【态度】:科室干净整洁,挺听话,姿势又配合很好 【位置】:白云梅花园 【评分】:8.5 【过程】:约好时间遥控上楼,见面惊了一下,人照8成,照片略有瘦脸而已,宽衣洗澡,老师全自动陪浴服务,过程中欣赏老师身材,腰非常细,腿也长,洗完上床开始正戏,课表服务都有,胸一手掌握,手感很好,口活略生疏,不过女上很会,摇、坐一套连招差点秒了,赶紧换传教,最后后入出货。妹子态度也很好,课室还有一次性牙刷,值得多刷
❤2
我人气不行,但是我气人还行
哪有什么坏脾气,都是跟你在撒娇罢了😘
【工兵报告】https://t.me/GZGBTBT 【老师艺名】小郁宅猫猫 【联系方式】@YZmaomao 【所在位置】白云 【验证留名】大牛 【验证时间】8.11 【修车费用】800 【颜值身材】可爱,身材好 【服务内容】课本 【服务态度】服务很好很周到 【优点缺点】姿势都可以配合,要求一般都会满足。口起来很舒服。紧致的嫩妹。 【推荐程度】必返 【体验细节】住的地方非常安全,位置也比较好找,萌妹嫩妹,身材非常好,身材好。服务非常到位,人挺好的,性格也非常活泼开朗,先聊了一点 大家熟络一点,这点我还是比较喜欢的,非常完美的一次体验,期待下次的体验 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交机器人: @GBTBGJQR_bot 报告提交条件:需要提供约课记录及付款记录验证
❤1
https://t.me/gzymsc7
https://t.me/GZsnyjb/39588
https://t.me/gzgbtbt/23817
你知道我喜欢你哪一点吗?我喜欢你离我近一点。😘
现在有空哦宝宝
【少御报告】https://t.me/GZsnyjhj 【老师艺名】小郁宅猫猫 【联系方式】@YZmaomao 【所在位置】白云 【验证留名】哇哇叫 【验证时间】7.31 【修车费用】800 【颜值身材】颜值和身材给8.5分吧 【服务内容】课本 【服务态度】服务周到不冷场,热情 【优点缺点】女友感很强,情绪价值给的很足 【推荐程度】必返 【体验细节】妹妹有种娇羞的感觉但是很聊得来,不会冷场。进门帮洗后开始常规服务,猫猫老师的小舌头舔得很舒服。06年的娃娃脸加御姐梨型身材,身材饱满超有满足感,进去能感觉到小穴在收缩,很紧很烫。后入的话丰满翘臂视觉冲击感很足,整个做起来的过程很乖,像刚谈恋爱的小女友一样,刚下海态度啥的要好很多颜值身材也很好,很招人稀罕。女友感满满,必定会反,为数不多的宝藏女孩! ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交:@yanlili_bot
Showing the 12 most recent of 20 posts we hold for @XLLmaomao. 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
Named by 4 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 14 September 2026 — this entry's latest reading, not the date you are reading this.
“广州小萝莉猫猫的日常” (@XLLmaomao), 2,521 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/XLLmaomao.
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.