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Channel

佛山嫩妹测评【重生录】

@NNnmmtlu

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

15,276subscribers

-26 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
Description模板 https://t.me/NNnmmtlu/6
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 live15 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/NNnmmtlu

Growth

15,27615,31215,2946 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 subscribers6 August 202615 August 2026
8 measurements spanning 8 days, net -26. 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 15,271–15,317 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 00:0815,276-5
13 Aug 2026, 18:2815,281-7
12 Aug 2026, 17:2615,288-24
11 Aug 2026, 15:0415,312+13
9 Aug 2026, 12:0115,299+2
8 Aug 2026, 12:3315,297-4
7 Aug 2026, 15:3715,301-1
6 Aug 2026, 17:4715,302first reading

Engagement

217 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 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.954%
avg views ÷ 15,276 subscribers
Avg views / post
146
217 posts measured
Reaction rate
0.343%
reactions ÷ views · ER floor
Posts in window
217
of 217 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 20 of 217 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 15 August 2026
Posts held217 (6 August 202615 August 2026)
Views total31,621
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 06:18 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
1
Links
5,050

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

14 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 85.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1285.7%
👎17.14%
🤔17.14%

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 20 of the 217 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 217 most recent posts we hold, published 6 August 2026 to 15 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

15 Aug 2026, 06:11 UTC9 viewsread 15 August 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】哥莫多 【验证时间】8.15 【修车费用】500 【颜值身材】身材好颜值高 【服务内容】课表 【服务态度】很温柔 【优点缺点】温柔可爱 【推荐程度】10 【体验细节】见到了小莹本人,非常漂亮,人照一致,还是个大长腿呢。很满意便交了课费,然后拉我去洗澡,皮肤很好很滑,胸又挺又软,洗好了还很贴心的拿浴巾帮我擦干。 上床后就开始服务,大蟒🐍管饱,服务项目都有很认真的在做。带上套直接女上进入,下面紧致水多,很主动,日起来太美妙了,第一次很快就出了。中场休息时,手一直摸着奶子,手感太好了,摸了好几分钟,然后开始69,互舔了一会,老师下面已经水流成河了,直接提枪进入第二次,体验了后入,屁股很翘很圆润,感觉更紧了点,第二次时间时间长了些,老师也没有不耐烦,一直各种迎合,态度必须加分,非常不错 ♥️温馨提

15 Aug 2026, 06:11 UTC11 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】周小瑶 【联系方式】@zxy522 【所在位置】佛山南海 【验证留名】老江 【验证时间】8月14日 【修车费用】3200双飞pp 【颜值身材】大胸,颜值都好看 【服务内容】全套服务 【服务态度】很好 【优点缺点】风骚,口活不错,2人配合不错,服务一流 【推荐程度】9分 【体验细节】看到小瑶妹子可以双飞,马上约好妹子,确认了时间地点,欣然前往。进门后两位妹妹非常热情,一口一个老公,一点不会冷场。小瑶帮脱衣服洗澡,洗澡时来个个水中萧,小弟弟立马立正了。洗完澡后沅沅已经换上了黑丝和制服。本人是喜欢全裸的,但是看着倒也好看,于是便开始服务。两位妹子一人攻上半身,一人攻下半身。嘴里同时骚话连篇,因为本狼cd比较久,第一炮就让小瑶赶紧速战速决。小瑶掏出超薄001,戴上后就骑了上来,沅沅在旁边一边舔我胸部,一边说着骚话。随着我加快速度,小瑶开始浪叫起来,还说,老公给我,我好

15 Aug 2026, 06:10 UTC10 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】语茉 【联系方式】@yumo0002 【所在位置】金沙洲 【验证留名】杨教练 【验证时间】8.14 【修车费用】600 【颜值身材】颜值:7.5 身材:8.5 【服务内容】课表都有 【服务态度】不错 【优点缺点】优点:166净身高,大骨架,科室干净 缺点:A-B🐻 【推荐程度】8 【体验细节】老师科室是在小区,环境不错,没有门禁,很好找,老师遥控也不墨迹,没有罚站的情况。老师净身高有166 穿上鞋子差不多170了,属于大骨架。有陪浴,水中萧也有。嫩妹服务不算多,口的很认真,可以尽量深喉。 换了好几个动作老师都很配合,最后也很愉快出水。就是这个位置有点远了,不然的话会常来。 ♥️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

15 Aug 2026, 04:30 UTC53 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】英英 【联系方式】@uvlgjdkf 【所在位置】佛山黄岐 【验证留名】出击小分队 【验证时间】8.15 【修车费用】12pp 【颜值身材】包10分的(🐻C、御姐、真的很御、很性感、眼神里真的有东西) 【服务内容】课程表有写都可以最重要大蟒🐍 【服务态度】服务态度没得讲,很健谈,不会公式化一套流程那种。 【优点缺点】老师是一个御姐,五官很精致,一进门,科室很干净,很整齐,帮洗澡,而且非常主动,技术好,情绪价值很到位,水中箫,大蟒蛇🐍,🐍到饱,老师也很好说话,态度很好,很配合,有什么要求都会满足。 【推荐程度】必须10分,这个没得少,少一分就是我自己的问题[奸笑] 【体验细节】得知老师今天开课提前一天预约交定金之后就去了,老师的科室是公寓式的,整个房间很香,而且很干净整齐,进门交水费,然后就开始洗澡,老师会帮忙洗好,洗的很舒服,很细心。还有水中萧,然后洗完擦干净

15 Aug 2026, 04:08 UTC53 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】#小雪 【联系方式】@djsnznsj123 【所在位置】禅城 【验证留名】添狗1号 【验证时间】2026年8月13日 【修车费用】pp 【颜值身材】身材很好,是我理想中的身材,身高有1.65左右,颜值娃娃脸,好看的可爱型 【服务内容】课表都有 【服务态度】给个及格线吧 【优点缺点】优点:身材比例好,不胖不瘦,皮肤白,胸大 缺点:抽烟 【推荐程度】9吧 【体验细节】13号晚上刚好有事路过佛山,就约老师上门,看到第一眼就惊艳到我了,我理想中的完美身材,看了老师的频道评论没有骗人,颜值身材都很好,好久没有连续打两炮了,累的不行,结束后老师一走,马上就睡着。老师身材年龄服务都无可挑剔,就有一点不好,时间卡的有点紧,我本来第二炮休息时间有点久,老师不能通融给多十分钟,本来想着跟老师可以多处一下,相处的愉快的话,还可以多找老师几次,没想到老师不给面啊😂,但是看到

15 Aug 2026, 04:07 UTC42 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】 #宝儿 【联系方式】@kouhaiwurao08 【所在位置】禅城璀璨 【验证留名】高兴 【验证时间】8.14 【修车费用】700p 【颜值身材】人照一致 【服务内容】课表 【服务态度】配合 【优点缺点】颜值高.身材好. 【推荐程度】10 【体验细节】情绪价值满满..契合度高 师兄推荐的宝儿老师,看着觉得不错,约好宝儿老师。开门看到人照和频道的照片一模一样.进门先问好,态度热情,递了瓶水 闲聊几句让后一起扒光洗白白,完事躺床上可可来服务,舔咪咪 吹箫口技可以,弄得我欲罢不能。皮肤比较顺滑,戴套后先女上,看着 宝儿观音坐莲的骚样,也是很享受了。我便提出自己来动。先是经典传教士,手上也不停歇一顿乱摸,不是软趴趴而是紧致的身材,累了切换后入一顿戳戳,最后拉到床边卖力冲刺后美美出水。总体出击体验不完美.漂亮又有服务的嫩妹,下次必反.10分推荐.. 在禅城这个地方宝儿

15 Aug 2026, 02:52 UTC43 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】#萍萍 【联系方式】@fschfb 【所在位置】禅城 【验证留名】kd 【验证时间】8.13 【修车费用】500 【颜值身材】5分 【服务内容】🐍,69 【服务态度】8分 【优点缺点】服务态度好 体格大 肉多 【推荐程度】7分 【体验细节】看到老师回来,提前约好,约好萍萍老师,遥控上楼,人照8成,身材高挑高大,看到其他评论说身材苗条的,不知道是不是同一个人,估计是换了个人,身材还是比较柔,腰围大,交完水费,洗澡帮洗帮擦干净,躺床上开始舔我,然后就是一顿🐍🐍🐍,老师逼逼没啥味道舔了一会儿比,用力越大叫的越厉害,各种姿势老师都很配合水一。总体来说,老师的服务态度还是挺好。 ♥️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

15 Aug 2026, 02:51 UTC38 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】嘟嘟 【联系方式】@hrh888yy 【所在位置】顺德 【验证留名】睡不着 【验证时间】8.10 【修车费用】600/P 【颜值身材】人照9 腿长屁股大 【服务内容】课表一致 【服务态度】听话,指哪打哪。 【优点缺点】大屁股,浪臀感十足。听话配合不催钟 【推荐程度】9 【体验细节】约定时间到达楼下。根据嘟嘟遥控顺利到达楼层,老师早早在电梯口接待。跟着嘟嘟进入房间,盯着大屁股一直看嘻嘻。进入房间聊了一会,叫上水费,一起去洗了一下。出来擦干,老师便自己换上一次性黑丝。随后爬到床上来,先来一个大大抱抱,再亲吻一下奶子。嘟嘟反应也是挺大的,可能比较敏感哈哈。手握感受一下软软的。老师先给舔我胸部两个小点点,在到我的肚子一路往下滑再到鸡儿,一直吹到鸡儿硬邦邦,总后还是忍不住了。套呢,套在哪里。,马上带上,传教士开始几分钟,我就有点累了,明显体力不足了现在,后面就换成女

15 Aug 2026, 02:39 UTC116 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】英英 【联系方式】@yingying12132 【所在位置】千灯湖 【验证留名】大牙签 【验证时间】8.13 【修车费用】800/P 【颜值身材】高挑苗条,完美比例 【服务内容】课表一直 【服务态度】热情主动,反馈真实不作假 【优点缺点】身材好,温柔体贴 【推荐程度】9.999 【体验细节】进屋后英英热情接待,先带我到沙发上轻松闲聊相当热情,瞬间放松下来。奉上水费后便牵手往卫生间走,途中气氛急剧升温,手早就忍不住在她饱满的胸前游走揉捏,软嫩的触感让人心旷神怡!沐浴过程相当敬业,两面都细致地清洗得干干净净✨,擦干身体直接转战大床。 随后正式进入高潮前戏🔥!英英BB娇羞地爬上床,温热娇嫩的小嘴贪婪地吮吸着我的上身敏感点,伴随着软绵绵的低吟,简直让人酥到骨子里~手也没闲着,温柔地上下抚弄,瞬间让我下身彻底苏醒.极其耐心地展开极致调情,用温热的舌尖轻舔慢咽。这极致的快

15 Aug 2026, 01:59 UTC52 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】慧慧 【联系方式】@huihui7676 【所在位置】南海 【验证留名】我的法 【验证时间】8.13 【修车费用】p 【颜值身材】8 微胖 【服务内容】参考课表 【服务态度】热情 【优点缺点】配合度高 大屁股 【推荐程度】8 【体验细节】罚站了一会遥控上楼,小区没门禁也没登记,电梯直接按到楼层。门开后她已经换好了轻薄的家居服,笑着把人往里拉,语气自然又不冷场,帮忙简单冲了个澡,水温调得刚好,手指偶尔在身上多停留几秒,带着点试探的热情。 出来后没怎么拖延,直接跪到床边。口活确实不错——舌头先绕着冠状沟打了几圈,湿湿热热的,能清楚感觉到舌尖在转,吸得时候力度刚好,没有一点齿感,整根含进去时喉咙还会轻轻收缩一下。戴套翻过去后入的时候视觉冲击更强。臀肉柔软有弹性,撞上去会轻微晃动,腰窝陷下去形成漂亮的弧线,从后面能清楚看到结合的地方被撑开、又被带出来一点透明的液体。她

14 Aug 2026, 15:39 UTC102 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】安迪 【联系方式】@yunshao23 【所在位置】禅城 【验证留名】一锄二翘三上马 【验证时间】8.14 【修车费用】900(半价) 【颜值身材】9.5 【服务内容】课表有的都有 【服务态度】9 【优点缺点】暂无 【推荐程度】9 【体验细节】中奖就休息了,虽说隔得有点久,还是约上啦,颜值身材都很不错,看到就硬了,服务也是在线的,虽说第一次出击安迪宝宝,但是却给你一种女友感,进门先来一拥抱,交水费就开始洗澡了,洗的挺仔细的,还帮忙擦身子。擦完先去床上期待一下变装,直接就是满分,然后开始课表的流程相当舒服,没一会就要出水了。服务还是相当可以的,有机会必须二返 ♥️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

14 Aug 2026, 15:00 UTC104 viewsread 15 August 2026

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】@xiaotianxin198 【联系方式】小布点 【所在位置】桂城 【验证留名】爱舔白虎逼 【验证时间】8.14 【修车费用】600 【颜值身材】细枝结硕果,小马只,翘臀 【服务内容】课表全做 【服务态度】热情贴心 【优点缺点】桂城无敌手 【推荐程度】推荐 【体验细节】 预约老师准时到达,老师属于那种不惊艳,你才发现她真的挺不错。综合非常能打。小黄文不写了。写感受,老师颜值是御姐,身体是嫩妹,好白弹性够。重点是她服务,完美复刻会所服务,给你不一样的享受,没办法现在嫩妹没服务是潜规则,甚至连最基本的陪洗,或则是口都没有了。纯吃硬件。是在是有点觉得市场都怎么样了。回归这次,老师依旧一丝不苟的做服务,是在满意。有种归来仍是骚年的感觉。 🌟 总结就是老师属于嫩妹有服务的,这个真的少有,而且还细枝结硕果的。喜欢嫩妹带服务的师兄盲冲。 ♥️温馨提示: 以上

Showing the 12 most recent of 217 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

Citation-graph rank

Citation-graph rank — 73,117 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

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“佛山嫩妹测评【重生录】” (@NNnmmtlu), 15,276 subscribers as measured 15 August 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.