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Channel

佛山嫩妹测评【重生录】

@NNnmmtlu

On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

13,456subscribers

-1,846 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-1003361539374
TypeChannel
Username@NNnmmtlu
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/NNnmmtlu

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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

13,45615,31214,3846 August 2026 — 15,302 subscribers7 August 2026 — 15,301 subscribers8 August 2026 — 15,297 subscribers9 August 2026 — 15,299 subscribers11 August 2026 — 15,312 subscribers12 August 2026 — 15,288 subscribers13 August 2026 — 15,281 subscribers15 August 2026 — 15,276 subscribers16 August 2026 — 15,266 subscribers17 August 2026 — 15,237 subscribers18 August 2026 — 15,230 subscribers19 August 2026 — 15,224 subscribers20 August 2026 — 15,232 subscribers21 August 2026 — 15,233 subscribers22 August 2026 — 15,242 subscribers24 August 2026 — 15,243 subscribers25 August 2026 — 15,229 subscribers26 August 2026 — 15,217 subscribers27 August 2026 — 15,222 subscribers28 August 2026 — 15,203 subscribers29 August 2026 — 15,195 subscribers30 August 2026 — 15,184 subscribers31 August 2026 — 15,180 subscribers1 September 2026 — 15,175 subscribers3 September 2026 — 15,148 subscribers4 September 2026 — 15,136 subscribers7 September 2026 — 15,054 subscribers10 September 2026 — 14,977 subscribers12 September 2026 — 14,924 subscribers14 September 2026 — 14,921 subscribers16 September 2026 — 14,391 subscribers18 September 2026 — 13,456 subscribers6 August 202618 September 2026
32 measurements spanning 43 days, net -1,846. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 13,178–15,590 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 09:3613,456-935
16 Sept 2026, 03:5814,391-530
14 Sept 2026, 07:2014,921-3
12 Sept 2026, 12:5714,924-53
10 Sept 2026, 10:2014,977-77
7 Sept 2026, 06:5815,054-82
4 Sept 2026, 14:1515,136-12
3 Sept 2026, 01:0915,148-27
1 Sept 2026, 23:5715,175-5
31 Aug 2026, 21:1315,180-4
30 Aug 2026, 20:3515,184-11
29 Aug 2026, 17:0315,195-8
28 Aug 2026, 16:3215,203-19
27 Aug 2026, 14:3315,222+5
26 Aug 2026, 12:2615,217-12
25 Aug 2026, 11:3815,229-14
24 Aug 2026, 11:2915,243+1
22 Aug 2026, 20:2515,242+9
21 Aug 2026, 12:4315,233+1
20 Aug 2026, 15:2215,232first reading

Engagement

678 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.32%
avg views ÷ 13,456 subscribers
Avg views / post
177
258 posts measured
Reaction rate
0.342%
reactions ÷ views · ER floor
Posts in window
258
of 678 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 19 of 258 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held678 (6 August 20263 September 2026)
Views total45,758
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:56 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.

Reaction mix

37 reactions across 34 posts, in 4 distinct kinds. The most used accounts for 89.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3389.2%
😁25.41%
👎12.70%
🤔12.70%

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 55 of the 678 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 37 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 678 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

3 Sept 2026, 10:07 UTC38 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】崽崽 【联系方式】@bobojing 【所在位置】桂城 【验证留名】燮了 【验证时间】9.2 【修车费用】pp 【颜值身材】 颜值在线,身材很赞 【服务内容】 课表 【服务态度】 体贴细致,温柔耐心 【优点缺点】无明显缺点,情绪价值拉满 【推荐程度】 强烈推荐 【体验细节】临时起意联系了老师,她档期正好有空,我便直接出发。到达后发现老师的工作环境非常干净整洁,进门那一刻她就热情地迎接,主动帮我调节水温,一起舒舒服服地洗了个鸳鸯浴。进入正题后,老师按照标准课表流程服务,但细节处理得特别用心。她全程态度温柔体贴,沟通顺畅自然,胸部丰满有弹性,皮肤光滑细腻,触感极佳。无论是前戏还是过程中,她都非常专注投入,服务细腻且有温度,让人感觉被照顾得很好,情绪价值爆棚。整个体验下来非常舒服,没有任何敷衍或不适的地方。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府

3 Sept 2026, 09:16 UTC41 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】@sunkexing 【联系方式】@sunkexing 【所在位置】南海 【验证留名】不愿意透露姓名的雷王 【验证时间】8.30 【修车费用】600p 【颜值身材】5 【服务内容】1 【服务态度】1 【优点缺点】没有优点全是缺点 【推荐程度】避雷 【体验细节】个人频道蹲了挺久 看着挺吸引人的 上楼后发现人照顶多5成 又黑又黄 算了 来都来了 进门交水费自己洗 课表说有陪浴(没有陪浴也正常) ok能理解 上去拿着几十张湿纸巾这擦那擦 生怕带细菌一样 老师帮二弟消毒的时候看了下手机 就直接甩脸色说“我开始服务也要玩手机吗” 听到直接兴趣减半 然后再拿张湿纸巾戳个洞套在二弟根部 不懂什么操作... 口了不到一分钟 还是只有一半 让口多会都不愿意 要了把脸侧过去要么低头 态度巨差.. ok开干 先开始要求女上结果说 累 那就我来 让她平摊 连让我

3 Sept 2026, 09:15 UTC61 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】胡桃 【联系方式】@hutaomm 【所在位置】桂城 【验证留名】JJ 【验证时间】9.2 【修车费用】p 【颜值身材】9 【服务内容】课表 【服务态度】9 【优点缺点】身材好皮肤白,胸大很配合 【推荐程度】9 【体验细节】约好时间,准时到达,老师遥控上楼,看见本人乖巧颜值相当不错,床上妩媚风情,可以称得上极品尤物,身材不错,瘦瘦的,长腿翘屁股。交了水费,常规操作,洗漱上床,妹妹开始向我展示她的实力,然后对我全身敏感的地方发起攻击,前面后面都有服务,,一路向西的节奏,全身酥麻的不行,妹妹的口活有一套,差点没忍住,是我出击的老师里最棒的一位,之后她就上位了,战斗力真是没的说,全场震精的水平,不过我喜欢把她压身下的征服感,妹妹的叫声就是那种飘飘欲仙的,摇拽颤抖的声音,让我全程都特别兴奋,全程骚出水,服务控表示太满足,还会光顾。 ♥️温馨提示: 以上仅代表个人体验,

3 Sept 2026, 09:14 UTC88 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】宣宣 【联系方式】@hhf666yh 【所在位置】大良 【验证留名】 MK 【验证时间】9月1 【修车费用】700P 【颜值身材】奶大,bbw,大长腿 【服务内容】六九舌吻大蟒蛇 【服务态度】好 【优点缺点】 优点:奶大身材好,屁股大 缺点:停车得找找 【推荐程度】推荐 【体验细节】第二次来了 再次约上宣宣上楼,见面后宣宣穿着小短裙,很热情的笑脸相对,陪着看了个短视频,过程中宣宣不断的抚摸二弟,只好匆匆聊了一会之后就交水费。迫不及待褪去衣裳,好好抚摸一番,又是按耐不住直接在沙发上开干了,整个过程还是很舒服和刺激的,后入的时候很能感觉宣宣的包裹感。事后又跟宣宣闲聊了一会,才依依不舍的离开,二反了,期待下次再会。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Fndxbgbot

3 Sept 2026, 08:27 UTC54 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】小美玲 【联系方式】@MmeiLlin 【所在位置】佛山南海 【验证留名】青楼老衲 【验证时间】9月3日16:14 【修车费用】500 【颜值身材】3分 【服务内容】洗吹做 【服务态度】平淡 【优点缺点】货不对版 【推荐程度】不推荐 【体验细节】老实说对于出击这件事情,肯定是会被图片吸引,但是货不对板真的是有够救命。这个女孩跟图片完全不一样,我上楼梯的时候,已经看到了照片的女孩,这个应该是他姐妹,但就是货不对吧。态度挺平淡,态度松弛,身材松弛,奶子也松弛,逼也松弛。本着来都来了的原则,但一定不会有一次。随便亲亲吹吹,硬了就开搞,奈何兄弟比较持久,迟迟未缴械投降,最终还是手冲。这条报告有可能会各执一词和怀疑真实性,不信的老哥,尽管去吧。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考#¥%! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Fndxb

3 Sept 2026, 08:23 UTC50 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】小莹 【联系方式】@huan444888 【所在位置】禅城 【验证留名】大灰狼 【验证时间】9月3号 【修车费用】500p 【颜值身材】很可爱身材纤细 【服务内容】课表的都有 【服务态度】热情贴心 【优点缺点】很可爱的妹子,日感极佳 【推荐程度】10 【体验细节】小莹本人比照片好看,颜值高是我喜欢的类型。胸软软的很好rua,硬件很好。 性格态度都很好,特别有女友感,喜欢她的居家服小蕾丝,🐍吻还可以,女友感的最佳体现就是主动。床感很好,下面和我的棒挺契合的,舒服。叫床很自然没什么骚话,也会耳鬓厮磨,耐不住硬件好,很自然地射了一堆,很好很好,小莹说我对她很温柔,好喜欢我。哇我好开心,这样的话我就不能只去一次吧,必须多刷! ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Fndxbgbot

3 Sept 2026, 08:12 UTC74 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】kimi 【联系方式】@kimibabyya 【所在位置】桂城 【验证留名】XF 【验证时间】9.2 【修车费用】p 【颜值身材】9 【服务内容】课表 【服务态度】9 【优点缺点】身材好,梨形身材,不催很配合 【推荐程度】9 【体验细节】怀着忐忑的心去出击,导航到老师小区了,来到课室打开门,见到了kimi老师,眼前一亮,真好看,马上交了水费,这颜值,还要啥摩托车,没有踩雷,这次来值了,精致的妆容,皮肤光滑水嫩,说话温柔好听,真人比照片更好看,老师一直在笑,一起去洗澡,洗的很认真,会把小弟弟洗得很干净,帮擦干身体,老师开始给我服务,口活比较好,戴套开干,女上,插入时小弟弟感受到一股暖流,很强的包裹感,下面好紧,传教士,加快速度猛冲顺利出货,好爽,不催课,聊了会天,一起去洗澡,老师说话幽默风趣,性格好,情商高会说话,服务态度很好,最后走的时候发现老师和我用的同款护

3 Sept 2026, 07:24 UTC55 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】洛瑶 【联系方式】@facai862 【所在位置】桂城 【验证留名】你的鸡鸡没我大 【验证时间】9.3 【修车费用】P 【颜值身材】长得御姐款,158左右,瘦底皮肤白 【服务内容】课表内容,帮洗,吹 【服务态度】还好 【优点缺点】①缺点:没有一次性毛巾,漱口水 ②优点:性瘾大,有女朋友的感觉 【推荐程度】8 【体验细节】运气不错中了半价,就跟老师问了下地址,顺便把时间约好了。我这边过去比较远,差不多一个半小时,路上其实还有点担心人对不上,怕白跑一趟。 到了见到老师,基本没啥问题,跟照片差不多,就是照片稍微有点美颜,真人黄皮。确认没问题之后就交水费洗澡了。 老师本人有点呆呆的,感觉性格比较安静,不太爱讲话,但人还是挺热情的。一起洗完澡之后就开始了,可能她刚做这个没多久,感觉对流程还不是特别熟,不过整体给我的感觉还挺像女朋友的,正常的要求基本都会配合。 整个

3 Sept 2026, 07:24 UTC166 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】七月 【联系方式】@keqin888888888 【所在位置】南海万达 【验证留名】晴 【验证时间】9.3 【修车费用】700 【颜值身材】高挑白嫩 【服务内容】三件套➕大🐍 【服务态度】热情 【优点缺点】优先是皮肤白,下面粉,确点是有花臂 【推荐程度】8.9 【体验细节】 硬件:人照基本一致,属于小美类型,真人看着更有气质,因为身高在那,皮肤白,胸部手感好 服务:桩了15分钟左右,没催没不耐烦,会主动给🐍吻,🐍起来无异味甜甜的,特别要提的是口技很好,会在唧唧上打转,很舒服 情绪价值:热情不冷场,一直都在聊天 总体值得推荐,遗憾的是妹妹下面不舒服没要到69,会返。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Fndxbgbot

3 Sept 2026, 07:02 UTC127 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】汤圆 【联系方式】@tanyuan9 【所在位置】南海 【验证留名】922 【验证时间】2026.9.3 【修车费用】1200p 【颜值身材】身材颜值很美 【服务内容】课表都有 【服务态度】优点:不冷场,各种姿势都配合 【优点缺点】目前没缺点! 【推荐程度】推荐! 【体验细节】昨天刚好下班无聊在群里水群 看见了新上榜的小汤圆 一身精致的妆容 一眼就喜欢上了 提前联系了汤圆 约了个12点半的p 随后回复到 有位 果断开车前往 路上二十分钟左右!到达楼下 遥控上来 到了门口汤圆已经给我留门了 第一眼我的真实感受就是本人比照片要漂亮 身材性感 穿着性感包臀裙 显得屁股格外圆 胸也很挺!嫩妹!进房间以后简单聊天 中间也不会冷场 会主动的找我说话 交了水费 我习惯一个人洗澡🛁 简单洗了个澡 随后汤圆在浴室门口拿着毛巾等着给我擦干身体 这种贴心服务 女友感太强了 五星好评

3 Sept 2026, 05:45 UTC79 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】#小曼 【联系方式】@chanc5200 【所在位置】禅城璀璨 【验证留名】老同学 【验证时间】9 月 2 【修车费用】650 【颜值身材】人照一致 【服务内容】课表 【服务态度】XCZS大蟒蛇 【优点缺点】微胖..匀称.. 嫩 【推荐程度】10 【体验细节】准时到了,开门看到曼曼人照片有9成以上.确实是本人,嫩妹, 体验细节: 按照小曼老师指引上楼,到了房间,小曼可心贴心地递给我一瓶矿泉水,先让我坐下歇会儿,接着便跟我东聊西聊,感觉就像是一位许久未见的老朋友。 等彼此的熟悉感建立起来后,小曼可心便拉着我鸳鸯戏水。 肉帛相见的那一刻,我仔细打量起小曼的身姿:干练长发.水灵灵的大眼,标准南方美女的精致轮廓,浑身散发着一股爽朗大方的独特气质。 ​到了床上,服务完全不是那种千篇一律的机械化流程,一切都是那么自然而然。 我们慢慢亲吻在一起,由浅入深,由外到内,这不仅

3 Sept 2026, 04:37 UTC96 viewsread 3 September 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】小可 【联系方式】@xiaokkee 【所在位置】禅城 【验证留名】龙头铁人 【验证时间】7.18 【修车费用】500P 【颜值身材】中介,4分,人照不符,起码30+,丑,假奶 【服务内容】没有 【服务态度】一般,催钟 【优点缺点】人照不符,起码30+,丑,假奶 【推荐程度】不推荐,给我钱都不会去第二次 【体验细节】经验不足上了中介的道,人照严重不符,刚进去的时候穿了一对很高的增高拖鞋,本来还以为身材还过得去,谁知道脱了鞋矮了一大截,还养了一只小狗。更差劲的是假奶,还辨经说是有增生,他喵的硬邦邦的增生也不要这样出来卖。丑就算了,服务态度还差,催钟纯快餐,500块当喂狗了,中介赶紧去死。 ♥️温馨提示: 以上仅代表个人体验,#¥%报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Fndxbgbot

Showing the 12 most recent of 678 posts we hold for @NNnmmtlu. 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

@NNnmmtlu edited 1 post 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
8 August 2026
Most recent edit
8 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“佛山嫩妹测评【重生录】” (@NNnmmtlu), 13,456 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/NNnmmtlu.

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.