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Telegram profile photo for 广州嫩妹名探【重生录】

Channel

广州嫩妹名探【重生录】

@GZNMMTL

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

31,720subscribers

+3,429 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002344737813
TypeChannel
Username@GZNMMTL
Description找老师去 @GZNMMTB 为准 群: @GZNMMTFU 榜: @GZNMMTB 录: @GZNMMTL 上榜联系: @Ckeke_bot 报告提交 : @Chenyaoyao1_bot
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/GZNMMTL

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 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@GZNMMTL/40498 · this entry31 Aug 2026, 13:08 UTC@GZsnyjbgj/1273531 Aug 2026, 13:11 UTC0.894 minutes
@GZNMMTL/40687 · this entry3 Sept 2026, 12:46 UTC@GZsnyjbgj/128243 Sept 2026, 13:11 UTC0.8725 minutes
@GZsnyjbgj/1264729 Aug 2026, 04:39 UTC@GZNMMTL/40330 · this entry29 Aug 2026, 04:48 UTC0.8610 minutes
@GZNMMTL/40205 · this entry27 Aug 2026, 02:58 UTC@GZsnyjbgj/1260227 Aug 2026, 05:17 UTC0.822.3 hours
@GZNMMTL/40182 · this entry26 Aug 2026, 12:03 UTC@GZsnyjbgj/1258926 Aug 2026, 12:11 UTC0.808 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@GZsnyjbgj5 (5/5 hand-verifiable sample passed)0.8510 minutesthis entry (4–1)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 3,010 comparable posts for this entry, running 6 August 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_source, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

28,29131,72030,005.56 August 202610 November 2026
65 measurements spanning 96 days, net +3,429. 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 27,777–32,234 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
10 Nov 2026, 17:4531,720+78
9 Nov 2026, 02:4631,642+45
7 Nov 2026, 20:3031,597+46
6 Nov 2026, 14:5831,551+67
5 Nov 2026, 11:2631,484+57
4 Nov 2026, 11:4731,427+50
3 Nov 2026, 09:0531,377+24
2 Nov 2026, 10:5631,353+63
1 Nov 2026, 08:2931,290+27
31 Oct 2026, 11:4731,263+46
30 Oct 2026, 14:2831,217+59
29 Oct 2026, 17:3631,158+59
28 Oct 2026, 15:2831,099+73
27 Oct 2026, 13:2731,026+36
26 Oct 2026, 10:5830,990+36
25 Oct 2026, 11:1030,954+39
24 Oct 2026, 13:5030,915+56
23 Oct 2026, 16:5930,859+70
22 Oct 2026, 14:1630,789+85
21 Oct 2026, 08:2130,704first reading

Engagement

3,030 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 163 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.377%
avg views ÷ 31,720 subscribers
Avg views / post
119
1,093 posts measured
Reaction rate
0.79%
reactions ÷ views · ER floor
Posts in window
1,093
of 3,030 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 158 of 1,093 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 12 November 2026
Posts held3,030 (6 August 2026 – 12 November 2026)
Views total130,557
Reactions total157
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 11:11 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
≈3,320
Videos
≈18
Links
≈41,100

Lifetime counters from Telegram’s own channel header, read 12 November 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

147 reactions across 129 posts, in 6 distinct kinds. The most used accounts for 58.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8658.5%
👍5537.4%
👏21.36%
🤔21.36%
😁10.68%
😍10.68%

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 147 of the 1,000 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 147 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 15 October 2026 to 12 November 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

Telegram’s own ‘edited’ marker: 6 of 1,093 posts held from the last 30 days (0.549%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 10:59 UTC4 viewsread 12 November 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】颍心 【联系方式】@xy20261688 【所在位置】越秀 【验证留名】唏噓 【验证时间】2026.11.12 【修车费用】700p 【颜值身材】8分 【服务内容】XCZ🐍 【服务态度】五星 【优点缺点】优点嫩,健谈,真诚,可爱 【推荐程度】四星 【体验细节】一进门,哇,很正常的穿搭,邻家小妹妹的感觉,颜值属于可爱型,嫩妹三件套,态度很好,很健谈,逗她玩说要女上半小时,吓坏她了,尾课了老师也累了一天可以理解,肤色正常的那种,没有特别光滑啥的,过程就传教士,侧身,平趴后入缴械,小个子女生平趴后入真的很爽,可以顶着小屁股晃啊晃 。 ♥️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:@Chenyaoyao1_bot

12 Nov 2026, 10:58 UTC4 viewsread 12 November 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】天河果宝 【联系方式】@gb8869 【所在位置】车坡 【验证留名】匿 【验证时间】11.7 【修车费用】400p 【颜值身材】8 【服务内容】10 【服务态度】10 【优点缺点】优点:老师说话可可爱爱态度满分,床技完美值得体验价格便宜。缺点,无。 【推荐程度】10 【体验细节】老师对客人提出的要求基本都接纳很好。 ♥️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:@Chenyaoyao1_bot

12 Nov 2026, 10:58 UTC42 viewsread 12 November 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】玥玥 【联系方式】@yueyue8555 【所在位置】番禺长隆 【验证留名】不方便 【验证时间】11.12 【修车费用】6p 【颜值身材】10 【服务内容】10 【服务态度】10 【优点缺点】超可爱的小女朋友,很羞耻,全程笑嘻嘻非常可爱。嫩妹控必冲 【推荐程度】10 【体验细节】进门老师还在点外卖,问我给点建议点什么吃,很有代入感。闲聊之后进入正戏老师还会放个音乐增加氛围感,亲亲的时候还要挡住我的眼表示很害羞,拉满了。三分钟轻松缴械。你们都别去,让我自己冲 ♥️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:@Chenyaoyao1_bot

12 Nov 2026, 10:58 UTC45 viewsread 12 November 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】煎饼果子 【联系方式】@jianbinghuozi2 【所在位置】天河 【验证留名】维京人 【验证时间】11.12 【修车费用】1500pp 【颜值身材】很年轻,皮肤白嫩, 真🐻 【服务内容】课表内容丝袜高跟 【服务态度】9.5分 【优点缺点】大胸,身材没有一丝多余的赘肉 【推荐程度】9 【体验细节】闲来无事,心里痒痒地想cj,不停地翻看老师,突然看到煎饼果子老师的频道,瞬间被吸引了,即刻便邀约。驱车前往,在期待中被煎饼果子老师遥控上楼,初次相见,瓜子脸、大胸,小蛮腰,这前凸后翘,凹凸有致,颜值和身材都是极品,非常满意。进门就给我准备了拖鞋,热情跟我打招呼,像女朋友在家等着你一样。共浴之后,紧接着上演极致诱惑,她不停扭动她的腰肢,我的手跟着ls的律动在她身上进行不停地抚摸,皮肤很光滑,很Q弹性,在她的极致诱惑下,我的浴火逐渐燃烧开来。我们直接到床上…

12 Nov 2026, 10:18 UTC96 viewsread 12 November 2026

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】落落 【联系方式】@luoluo131400 【所在位置】天河 【验证留名】许 【验证时间】11.6 【修车费用】600p 【颜值身材】大胸 漂亮 【服务内容】蛇 口 【服务态度】9 【优点缺点】9 【推荐程度】9 【体验细节】 进门简单寒暄几句就去洗澡了 调试水温的时候从背后抱住落落 双手摸着大胸 在背后蹭蹭 洗完到床上躺下 舌吻 蛇了小会就硬起来了 喊落落简单口一下 加强硬度就带上套子开干了 女上大熊一晃一晃的 视觉效果很足 感觉差不多了 换到正面冲刺出货回家 ♥️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:@Chenyaoyao1_bot

12 Nov 2026, 10:18 UTC35 viewsread 12 November 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】日川井野 【联系方式】@jingye798 【所在位置】天河区 【验证留名】花花公子 【验证时间】11.11 【修车费用】400 【颜值身材】人照 9 分 【服务内容】洗澡,舌吻,水中箫,深喉 【服务态度】非常好 【优点缺点】课室环境好,空间大 【推荐程度】9 分 【体验细节】按照她的指导,顺利到达,位置安全,进入房间干净整洁,交了水费,开始帮我洗浴,水中箫的时候眼睛分外勾人。还有调情,口活相当给力,深喉特别爽,满满的包裹感,差点就没顶住😂,太给力了只能说,做的时候也是相当投入,让人忍不住狠狠输出。服务真的非常好,而且很有耐心 ♥️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:@Chenyaoyao1_bot

12 Nov 2026, 09:52 UTC80 viewsread 12 November 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】小困包 【联系方式】@hongdouxbn5 【所在位置】天河 【验证留名】匿名 【验证时间】11.12 【修车费用】700p 【颜值身材】人照相符,看着很舒服,给人感觉干净又自然 【服务内容】 xcz陪浴 【服务态度】给人感觉比较走心 【优点缺点】非常满意,会二刷 【推荐程度】9.5 【体验细节】身材蛮好 胸也很软手感好属于嫩妹吧 有点害羞很可爱 第一次见面,小困包有点小害羞,聊了一会就好了,漂亮又可爱,停车还是挺方便的早就看到小困包频道,一直没时间,今天看她空就约了时间前往教室,第一次见面,留门直接进入,看到小困包宝宝老师有点可爱捏,简单聊了下,原来小困包和我一样喜欢冲音乐节,有共同爱好,气氛就没那么尴尬了,由于时间紧迫,让小困包老师领我去洗漱,老师身材一览无余,瞬间起立以示尊重,迫不及待来到床上。开始大蟒👅,也是非常香甜,后面就是课表的内容,…

12 Nov 2026, 09:36 UTC107 viewsread 12 November 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】 允恩 【联系方式】 @yunen520 【所在位置】 天河 【验证留名】爱德华兹 【验证时间】11.12 【修车费用】900P 【颜值身材】人照一致 情绪价值高 【服务内容】课表 【服务态度】很配合 温柔 【优点缺点】有点紧,后入被秒了有点丢人也(可能我三天没约了忍不住),服务不多配合度挺高,太紧了忘了蛇 【推荐程度】SSSSSSS 【体验细节】颜值没得说,现实中属于小美女那种吧,身上有股香味但不是那种很刺鼻或者说很重的反正闻着挺舒服跟妹子很搭。 是我很喜欢妹子的眼睛跟表情因为没有那种明显的风尘味,像是那种女友感 所以果断开冲,不过确实唯有所值,面相讨喜。妹子看着很纯,笑起来跟叫起来都不会假,不会说是刻意讨好。人性格很好也很沉稳心理比较成熟。声音很好听 两天后会二刷 ♥️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!…

12 Nov 2026, 09:36 UTC50 viewsread 12 November 2026

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】樱桃 【联系方式】 【所在位置】猎德 【验证留名】豪哥 【验证时间】11:12 【修车费用】1000p 【颜值身材】很好 【服务内容】颜值超高,身材很好 【服务态度】挺好的 【优点缺点】在胖一点更好 【推荐程度】10 【体验细节】有女友感 ♥️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:@Chenyaoyao1_bot

12 Nov 2026, 09:35 UTC67 views1 reactionsread 12 November 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】金禧儿 【联系方式】@jxe6688 【所在位置】天河/车陂 【验证留名】匿名 【验证时间】2026.11.12 【修车费用】400p 【颜值身材】9 【服务内容】课表内容 【服务态度】9.5 【优点缺点】服务很好,很仔细很认真,按摩手法也很好 【推荐程度】9 【体验细节】 今天找禧儿老师约课,发现正好在我上班附近,老师穿着白色情趣装,身材可以皮肤白嫩滑,摸着舒服抱着舌吻了一会儿,老师是有求必应的,态度也很积极热情。洗澡老师洗的很干净水中萧,来到房间选了一套衣服,穿上便来一段艳舞各种挑逗表情骚骚的,然后吹着弟弟含着不松口的那感觉太棒了,背后服务老师胸推奶子软软糯糯, 用舌头在我身上舔,毒龙先是屁股舔一圈,再慢慢滑入我的菊花贼拉爽,还把脑袋钻到我胯下吸鸡鸡蛋蛋爽翻天,翻过来来69,互相舔舔阴老师也爽歪了,老师也含着我的鸡上下口不停,贼爽,一番翻云覆雨…

❤1

12 Nov 2026, 09:35 UTC58 viewsread 12 November 2026

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】小妮 【联系方式】@xiaoni64 【所在位置】天河 【验证留名】kd 【验证时间】11.12 【修车费用】700 【颜值身材】高颜值瘦瘦的嫩妹 【服务内容】课表 【服务态度】乖巧 听话 【优点缺点】嫩妹 💦多紧 【推荐程度】9 【体验细节】进入房间后,看见小姐姐,属于颜值派,温柔热情,地方很安全,楼下也好停车,离我家不远,费用一交,服务流程先是一起洗澡,然后到床上口活非常舒服,又舔又吸,这样的女神为我服务,鸡吧早就硬的不行了,妹子带上套子让妹子坐上来,妹子扶着我的鸡吧对准洞口慢慢的插进去,那种感觉真的非常的舒服,中间换了很多个姿势,身体柔韧度非常好,动作配合的非常到位, 没有丝毫不耐烦。服务过程中不看手机,不催,整体体验很不错。 ♥️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:@Chenyaoyao1…

12 Nov 2026, 09:35 UTC40 viewsread 12 November 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】珍珠奶 【联系方式】@jl9559 【所在位置】白云 【验证留名】朗逸 【验证时间】11、11 【修车费用】400 【颜值身材】身材苗条有肉感,奶子大, 【服务内容】课表 【服务态度】热情,服务认真 【优点缺点】人照一致,皮肤白,不催钟, 【推荐程度】9 【体验细节】再次返食妹子,妹子的新课室环境不错,还有只可爱的小猫可以撸。妹子刚健完身,身上洗的香喷喷的,就穿了一件透明的睡衣,把妹子婀娜多姿的身材勾勒的若隐若现,看的我瞬间血脉喷胀。 一把抱住妹子忘情的🐍了起来,妹子的🐍功相当厉害,还会反客为主,主动进攻我,一番交锋,好不畅快。妹子的大屁股还是那么诱人,让人爱不释手,尤其在洗澡的时候,在圆润的大屁屁上涂满沐浴露,然后对着JJ一顿蹭,简直直呼上头,差点当场缴械,爽值拉满。 每日不间断的健身,让妹子活力慢慢,到床上也是时…

Showing the 12 most recent of 3,030 posts we hold for @GZNMMTL. 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.

Republished by 108 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

晚晚的小窝 🌸
@wanwan0404 · 7,591
12 posts
Miumiu 牛马工作报告
@MIUBAOGAO · 51
8 posts
梦瑶的暖宝宝🍼
@mengyao2809 · 401
7 posts
77的小窝
@qiqi98610927 · 14,405
7 posts
温柔的小窝
@wajjgg · 6,297
7 posts
白云小美和闺蜜们❤️💆‍♀(5月底毕业)
@BYxiaomei · 2,493
6 posts
亲亲宝贝
@fang5208 · 246
6 posts
颍心的朋友圈
@yx2026165 · 2,221
6 posts
广州御姐颜可可的温柔乡💕
@YJyankeke0 · 1,633
5 posts
小U的快乐屋
@xiaou0888 · 261
5 posts
玉宝宝的小屋🏠
@xiaoyubb55 · 2,422
5 posts
颜宝的朋友圈🧚‍♀️
@AAA22899 · 512
4 posts
温柔姐姐喻言的朋友圈
@WRyypyq · 2,470
4 posts
佳佳个人空间
@gunvvj · 1,114
4 posts
佳乐的家园
@jiale0009211 · 3,283
4 posts
77 的小窝 🌸
@xbb77by · 2,306
4 posts
小玲珑的报告频道
@xxllnn05 · 14
4 posts
天河🦋白洁🌹良家花园
@yali218 · 1,242
4 posts
白云人和金宸【报告榜】
@RHjh097 · 5,524
3 posts
周周的小花园
@Zz123152 · 771
3 posts
小萝莉🎀琪琪 🐍💋 cos jk 甜妹
@beibiebaby · 6,961
3 posts
意礼的朋友圈
@chengbao2222 · 898
3 posts
天河🌹点点💋频道
@dd88291 · 3,291
3 posts
白云京溪江泰【报告榜】
@eopnk97 · 4,903
3 posts
予予之青青草原历险记
@ffbb9990 · 533
3 posts
可可的朋友圈💖
@keke02031cocoL · 342
3 posts
玖儿的小🏠
@rou0066 · 1,090
3 posts
🌺兔兔🌺宝贝💐家园🌺
@totoss2025 · 727
3 posts
小雅的私教课堂
@xiaoya5880 · 1,235
3 posts
瑶瑶后花园
@yaoyao1682 · 168
3 posts
白云安妮频道
@yyffll899 · 569
3 posts
小毒深の深情
@GZXDSBG · 26
2 posts
依柔~的相册💕
@adchch568 · 1,459
2 posts
小布丁🍮的冰箱
@bdhxjsn123 · 1,191
2 posts
思思
@byssssii · 1,489
2 posts
陈琳的小🏠
@chenglin888 · 285
2 posts
陈诗涵工作室
@chenshihan667788 · 745
2 posts
白云嘉禾鼎悦【报告榜】
@dile795 · 2,891
2 posts
乐盈💝朋友圈~
@fhufkj · 3,559
2 posts
菲菲的广州花园
@guangzhoufeifei · 258
2 posts
番禺彤彤(全城🉑上门)
@gzttxx77 · 240
2 posts
爱喝养乐多
@jejdidjfjdhkb1 · 709
2 posts
佳佳🉐️朋友圈
@jiajia1780 · 359
2 posts
鸡蛋的小屋
@jidan8899 · 192
2 posts
泡泡的温柔港湾
@paopao88991 · 3,808
2 posts
千屿🉐️朋友圈
@qianyu2398 · 709
2 posts
如烟朋友圈(金沙洲)
@ruyanbaby222 · 516
2 posts
若依的小窝
@ry962464 · 99
2 posts

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 3 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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“广州嫩妹名探【重生录】” (@GZNMMTL), 31,720 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/GZNMMTL.

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.