✅表示开课,🚫表示休息

Channel
南京公开榜
@NJGKB111
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
56,125subscribers
+806 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001557990402 |
|---|---|
| Type | Channel |
| Username | @NJGKB111 |
| Description | 南京修车总群 https://t.me/+ee_9_5Mw_bNhYWI1 南京公开榜 https://t.me/+GrHSxzqDIhAzNDE9 南京黑车榜 @NJHCB1 南京报告榜 @NJBGB11 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 October 2026 |
| Measurements held | 47 |
| Confirmed unchanged | 1 time, most recently 22 October 2026 |
| On Telegram | t.me/NJGKB111 |
Topic
Giveaways & airdrops — 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 26% 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 |
|---|---|---|
| 22 Oct 2026, 15:36 | 56,125 | -12 |
| 21 Oct 2026, 08:09 | 56,137 | -34 |
| 20 Oct 2026, 06:55 | 56,171 | +20 |
| 19 Oct 2026, 08:17 | 56,151 | +4 |
| 18 Oct 2026, 09:27 | 56,147 | -22 |
| 17 Oct 2026, 12:19 | 56,169 | +33 |
| 16 Oct 2026, 08:59 | 56,136 | -25 |
| 15 Oct 2026, 12:26 | 56,161 | -25 |
| 14 Oct 2026, 11:06 | 56,186 | +14 |
| 12 Oct 2026, 22:28 | 56,172 | -82 |
| 8 Oct 2026, 15:15 | 56,254 | -94 |
| 4 Oct 2026, 07:37 | 56,348 | -99 |
| 25 Sept 2026, 12:37 | 56,447 | +339 |
| 18 Sept 2026, 22:19 | 56,108 | +165 |
| 16 Sept 2026, 17:01 | 55,943 | +99 |
| 14 Sept 2026, 18:41 | 55,844 | +46 |
| 13 Sept 2026, 08:39 | 55,798 | +4 |
| 11 Sept 2026, 11:18 | 55,794 | +129 |
| 8 Sept 2026, 19:22 | 55,665 | +133 |
| 5 Sept 2026, 09:58 | 55,532 | first reading |
Engagement
70 posts held, back to 30 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 166 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.83%
- avg views ÷ 56,125 subscribers
- Avg views / post
- 2,150
- 27 posts measured
- Reaction rate
- 0.087%
- reactions ÷ views · ER floor
- Posts in window
- 27
- of 70 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 22 of 27 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 21 October 2026 |
|---|---|
| Posts held | 70 (30 July 2026 – 21 October 2026) |
| Views total | 57,996 |
| Reactions total | 45 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Oct 2026, 02:07 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
- 435
- Videos
- 99
- Links
- 52
Lifetime counters from Telegram’s own channel header, read 23 October 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
- 5m 20s
- Average length
- 9s
Measured directly from 35 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
130 reactions across 45 posts, in 8 distinct kinds. The most used accounts for 83.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 108 | 83.1% | |
| 👍 | 9 | 6.92% | |
| 🤬 | 7 | 5.38% | |
| 🤔 | 2 | 1.54% | |
| 👏 | 1 | 0.769% | |
| 🔥 | 1 | 0.769% | |
| 😁 | 1 | 0.769% | |
| 🥰 | 1 | 0.769% |
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 56 of the 70 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 130 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 30 July 2026 to 21 October 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
🙋🏻♀️ 灵儿 📊 0 条车评,综合评分 0.00 好评 ----|人照 0.00|服务 0.00 中评 ----|颜值 0.00|态度 0.00 差评 ----|身材 0.00|环境 0.00 ☎️ 联系方式 电报:点击获取 🏷 分类标签 #江宁 #9p #御姐 #大长腿 ✳️ Powered by @NJXCddzq
注意这个老师账号可能被盗: @yedubd 无论多熟悉的老师,不要借钱 不要相信什么预存 或者盲盒! 约课定金不要超过100 未见本人不要再付!在公开榜被骗定金可以找管理员赔付 不得超过100 请保管好自己的账号,设置二级密码 不要把验证码提供给任何人
✅表示开课,🚫表示休息
🙋🏻♀️ 怡宝 📊 0 条车评,综合评分 0.00 好评 ----|人照 0.00|服务 0.00 中评 ----|颜值 0.00|态度 0.00 差评 ----|身材 0.00|环境 0.00 ☎️ 联系方式 电报:点击获取 🏷 分类标签 #雨花台区 #10p #嫩妹 ✳️ Powered by @NJXCddzq
❤1
🙋🏻♀️ 龙筋堂抓龙筋 📊 0 条车评,综合评分 0.00 好评 ----|人照 0.00|服务 0.00 中评 ----|颜值 0.00|态度 0.00 差评 ----|身材 0.00|环境 0.00 ☎️ 联系方式 电报:点击获取 🏷 分类标签 #建邺 #93 #丝足会所 #抓龙筋 #前列腺高潮 ✳️ Powered by @NJXCddzq
❤2
🙋🏻♀️ 桃子 📊 0 条车评,综合评分 0.00 好评 ----|人照 0.00|服务 0.00 中评 ----|颜值 0.00|态度 0.00 差评 ----|身材 0.00|环境 0.00 ☎️ 联系方式 电报:点击获取 🏷 分类标签 #秦淮 #8p #69 #舌吻 ✳️ Powered by @NJXCddzq
🙋🏻♀️ 雪儿 📊 1 条车评,综合评分 5.83 好评 0.0%|人照 8.00|服务 3.00 中评 0.0%|颜值 8.00|态度 2.00 差评 100%|身材 6.00|环境 8.00 ☎️ 联系方式 电报:点击获取 🏷 分类标签 #江宁 #10p #嫩妹 ✳️ Powered by @NJXCddzq
❤3👍2👏1
✅表示开课,🚫表示休息
❤1
🙋🏻♀️ 晴儿 📊 0 条车评,综合评分 0.00 好评 ----|人照 0.00|服务 0.00 中评 ----|颜值 0.00|态度 0.00 差评 ----|身材 0.00|环境 0.00 ☎️ 联系方式 电报:点击获取 🏷 分类标签 #江宁 #5p #御姐 ✳️ Powered by @NJXCddzq
🤬4
🙋🏻♀️ 菲菲 📊 0 条车评,综合评分 0.00 好评 ----|人照 0.00|服务 0.00 中评 ----|颜值 0.00|态度 0.00 差评 ----|身材 0.00|环境 0.00 ☎️ 联系方式 电报:点击获取 🏷 分类标签 #建邺 #98 ✳️ Powered by @NJXCddzq
❤3
🙋🏻♀️ 艾米 📊 0 条车评,综合评分 0.00 好评 ----|人照 0.00|服务 0.00 中评 ----|颜值 0.00|态度 0.00 差评 ----|身材 0.00|环境 0.00 ☎️ 联系方式 电报:点击获取 🏷 分类标签 #江宁 #10p #嫩妹 ✳️ Powered by @NJXCddzq
❤3
Showing the 12 most recent of 70 posts we hold for @NJGKB111. 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
Names
Channels on the register whose handles appear in this channel's posts.
@NJXCddzq · 61,20356 posts海南儋州昌江东方车友群 🚢
@AiDanZhou · 6,0563 posts海南文昌琼海万宁车友群 🚀
@AiQiongHai · 7,8293 posts重生我在连云港花果山当猴子🐒
@cswzhgs · 9,9153 posts大连大学表白墙公开榜
@daliandaxue · 36,3393 posts长沙打工人互助协会(聊天群)
@goupoyouxuan · 23,9713 posts合肥修车大队中转
@hf_xcdd · 7,3583 posts湖州🦖电报大本营
@HNing001BO · 22,9143 posts淮安🌙西游乐园
@HuaiAnHub · 13,5693 posts山东聊城学生会
@liaochengxsh · 11,5553 posts临沂琅琊古城
@LinYinHub · 5,8823 posts扬州泰州镇江自驾游(中转)
@olddriveryz1 · 29,1183 posts石家庄美食品鉴中转站
@SJZFoodTasting · 5,8723 posts郑州⛄️学生会
@suzhouO_o · 43,6213 posts山东泰安老司机
@taianxsh · 16,8503 posts西安都市日报中转
@TG_029 · 26,9413 posts天津不做龟男
@tianjingirl · 42,5353 posts衡阳加油站
@Tiantiandege · 32,0153 posts老司机中转站
@whlsdaka · 11,8153 posts安徽(皖南)资源中转群(芜湖及周边)
@wuhuOlddriver · 14,0123 posts无锡老司机【修车指南】
@WUXILIANGXIQU · 6,6893 posts柳州修车大队(中转群)
@XCDDLZ · 12,7773 posts常州🌳新龙生态林
@xlstl · 19,3833 posts徐州苏宁广场
@xzsngc · 20,9193 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 22 October 2026 — this entry's latest reading, not the date you are reading this.
“南京公开榜” (@NJGKB111), 56,125 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/NJGKB111.
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.