圈界NO.1 🟡昵称: 白子涵( 🕐地区:#玄武区 🤖双向:@baizihanbot 🚀电报:@baizihan878 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 长发轻垂的模样格外温婉,发丝流转之间衬得人温婉动人,简简单单的外形,就勾勒出十分惊艳的画面。 🔰#点击下方查看详情⬇️

Channel
南京虎鞭会
@dapptons
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
30,259subscribers
-2,717 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002555325968 |
|---|---|
| Type | Channel |
| Username | @dapptons |
| Description | 【修车老总】 @hxr88899bot 【修车频道】 https://t.me/dapptons 【修车老群】https://t.me/tre_xsi 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/dapptons |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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 |
|---|---|---|
| 26 Sept 2026, 21:56 | 30,259 | -1,994 |
| 19 Sept 2026, 17:56 | 32,253 | -960 |
| 17 Sept 2026, 06:19 | 33,213 | -289 |
| 15 Sept 2026, 08:17 | 33,502 | -453 |
| 13 Sept 2026, 16:17 | 33,955 | -758 |
| 11 Sept 2026, 20:57 | 34,713 | -369 |
| 9 Sept 2026, 11:38 | 35,082 | -361 |
| 6 Sept 2026, 05:59 | 35,443 | -150 |
| 4 Sept 2026, 02:54 | 35,593 | -182 |
| 2 Sept 2026, 20:17 | 35,775 | -301 |
| 1 Sept 2026, 17:46 | 36,076 | -701 |
| 31 Aug 2026, 20:13 | 36,777 | +29 |
| 30 Aug 2026, 20:05 | 36,748 | -179 |
| 29 Aug 2026, 18:45 | 36,927 | -42 |
| 28 Aug 2026, 17:13 | 36,969 | +279 |
| 27 Aug 2026, 19:17 | 36,690 | +124 |
| 26 Aug 2026, 22:17 | 36,566 | -207 |
| 25 Aug 2026, 22:45 | 36,773 | -126 |
| 24 Aug 2026, 23:43 | 36,899 | -265 |
| 23 Aug 2026, 13:57 | 37,164 | first reading |
Engagement
26 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 80 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.83%
- avg views ÷ 30,259 subscribers
- Avg views / post
- 1,760
- 14 posts measured
- Reaction rate
- 0.038%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 26 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 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 26 (6 August 2026 – 26 September 2026) |
| Views total | 24,702 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 08:43 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
- 274
- Videos
- 89
- Links
- 41
Lifetime counters from Telegram’s own channel header, read 29 September 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.
- Video runtime
- 2m 38s
- Average length
- 9s
Measured directly from 17 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
12 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 66.7% | |
| 👍 | 2 | 16.7% | |
| 😁 | 2 | 16.7% |
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 9 of the 26 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 6 August 2026 to 26 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
圈界NO.1 🟡昵称:安安 🕐地区:#浦口 🤖双向:@anan06bot 🚀电报:@anan061231 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】烟火日常当中的你,褪去所有滤镜修饰,真实自然,这份不掺虚假的模样,往往才是最打动人心的美丽。 🔰#点击下方查看详情⬇️
👼【花名】 悦悦 ⏳【课室】雨花区 💴【q1910277653 ✈️【联系】 @yeuyue668 💖【频道】 点击浏览频道👀 🫦【标签】已验证 💖P工兵卷剩余 不定时随机发放 🔰【格言 】99. 愿你永葆青春的活力,拥有不被岁月打败的底气。 🔰#点击下方查看详情⬇️
圈界NO.1 🟡昵称:诺诺 🕐地区:#江宁区 🤖双向: 🚀电报:@a520677 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 沐浴晨光的你格外柔和,清晨的微光洒在脸上,褪去所有浮华,最本真的样貌,干净纯粹,直击人心。 🔰#点击下方查看详情⬇️
🟡昵称: 悠悠 🕐地区:#江宁 🤖双向:@youyou798Bot 🚀电报:@TTGuo0729 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的样貌可以惊艳初见,也经得起漫长岁月,时光流转,只会沉淀出愈发醇厚,耐人细细品味的美丽。 🔰#点击下方查看详情⬇️
圈界NO.1 🟡昵称:沄珞 🕐地区:#江宁区 🤖双向:@zhejishiqiqidebot 🚀电报:@qiqi668660 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 明亮的眼眸当中藏着万千情绪,欢喜温柔沉静,全部都能够从眼神读出,眼睛便是你最美的五官。 🔰#点击下方查看详情⬇️
圈界NO.1 🟡昵称:猫老师 🕐地区:#江宁区 🤖双向: 🚀电报:@Maolaoshi11 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你认真对待生活的样子,为你的美貌赋能,心中怀有热爱,眼底存有光亮,这份内在滋养外在的好看。 🔰#点击下方查看详情⬇️
❤1
全国林妹高端外围【大⭕️】 #定金预约 本群可担保 💎专注各市区修车 🈶洋马,空姐,少妇,萝莉, 御姐等高素质高颜值🉑上门 🈶教室 ✡️奢华的环境、全套服务、至尊享受、帝王体验 ♏️联系客服情妹: @lingmei888168 ♏️双向客服林妹: @wai998bot ♒️总频道: 频道点击浏览👀 #本群推荐信誉客服
圈界NO.1 🟡昵称:coco 🕐地区:#建业 🤖双向:@coco20060521_bot 🚀电报:@coco20060521 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 女性的美本就千姿百态,而你活出属于自己的范本,容貌动人,气韵绝佳,成为很特别的一道风景。 🔰#点击下方查看详情⬇️
🟡昵称: 小玉 🕐地区:#江宁 🚀电报: @yuxuan0897 🔔频道: 频道点击浏览👀 🔴水费:10p14pp 🔴标签:#已验证 最近有人冒充管理,欺骗老师收¥, 找管理可看群公告或点击下方底部按钮。
名字: 思思雨欣双飞 #南京 #江宁 年龄 26 身高 168 体重46k 富雾内容:激情爱爱,鸳鸯戏水,🈚️套口🐔儿,丝袜诱惑,制服诱惑,情趣类型诱惑,深喉,毒龙,口爆,69之恋,🐍吻,极其完美配合,骚气十足,富雾态度好,全身肌肤细腻嫩滑,让君流连忘返, 单人1p❤️1000/60分钟/2pp❤️1800/70分钟 主打双飞组🈴,2800/2pp/90分钟 ✈️私信预约👉 @q1587515 频道小窝👉 频道点击浏览👀 双向限制👉 @zfzwgg_bot
🟡昵称: #晶晶 🕐地区:#南京 #鼓楼 🤖双向:@jingjj1bot 🚀电报:@jingjj1 🔔频道:点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 风吹起裙角的那一刻,整个人灵动飘逸,人景相融,眼前的画面,美得如同一场不愿醒来的美梦。 🔰#点击下方查看详情⬇️
Showing the 12 most recent of 26 posts we hold for @dapptons. 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.
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.
@jisou2 · 1,814,5614 posts安安的小窝🧣
@Anan061266 · 1,9972 posts南京 尤美 个人老师
@nanjingyoumei · 4972 posts江宁悠悠的小屋🛖(主播兼职)
@Tguo0729 · 2,7232 posts前空姐白子涵频道
@baizihan888 · 2,3041 post全国亚洲抽奖总部
@cuivd · 58,8011 post南京小涵大胸G女孩声音甜美
@gulou669 · 8591 post江宁区兼职🍓 若依
@guoguo5858 · 2,2631 post南京嫩妹点评
@HGF886 · 2,2531 post南京樱花相柳榜
@jntttui · 8,3891 post猫的淫荡生活
@Maolaoshilife · 4,0891 post南京嫩妹频道
@NBGT8866 · 2,6561 post南京江宁区会所交流群
@NGB8899 · 10,1051 post南京建业coco
@njcoco20060521 · 2,8181 post诺诺
@nuonuo998877 · 4651 post哆哆在浦口
@sxvnq112233 · 4401 post甜心小屋
@tianxx5 · 521 post南京品茶会【唯一】
@tre_xsi · 48,5171 post馨馨的介绍频道
@xiangxiang9797 · 16,9551 post全国林妹大圈⭕️
@yewuzuvip · 6,6701 post南京江宁小玉的闺房
@yuxuan099 · 2,2451 post南京姐妹花🌸【双飞】
@zw1587515 · 2,8241 post
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“南京虎鞭会” (@dapptons), 30,259 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/dapptons.
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.