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Channel
南京修车学院资源榜
@nanjinxc1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
48,424subscribers
+9,134 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 | -1002234255474 |
|---|---|
| Type | Channel |
| Username | @nanjinxc1 |
| Description | 上榜管理员- @hahag8899 哈哈哥 大群链接- https://t.me/nanjinxc2 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/nanjinxc1 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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, 12:18 | 48,424 | +292 |
| 19 Sept 2026, 13:02 | 48,132 | -929 |
| 17 Sept 2026, 01:20 | 49,061 | +553 |
| 15 Sept 2026, 00:01 | 48,508 | -254 |
| 13 Sept 2026, 08:39 | 48,762 | -476 |
| 11 Sept 2026, 11:20 | 49,238 | -138 |
| 8 Sept 2026, 15:37 | 49,376 | -54 |
| 5 Sept 2026, 08:22 | 49,430 | -23 |
| 3 Sept 2026, 14:00 | 49,453 | +2,330 |
| 2 Sept 2026, 10:45 | 47,123 | +1,208 |
| 1 Sept 2026, 08:54 | 45,915 | +1,018 |
| 31 Aug 2026, 10:28 | 44,897 | +1,274 |
| 30 Aug 2026, 07:47 | 43,623 | +1,140 |
| 29 Aug 2026, 07:35 | 42,483 | +1,141 |
| 28 Aug 2026, 07:55 | 41,342 | +1,231 |
| 27 Aug 2026, 04:33 | 40,111 | +2,483 |
| 26 Aug 2026, 03:24 | 37,628 | -204 |
| 25 Aug 2026, 05:43 | 37,832 | -152 |
| 24 Aug 2026, 03:18 | 37,984 | +547 |
| 22 Aug 2026, 13:03 | 37,437 | first reading |
Engagement
54 posts held, back to 1 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 115 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.33%
- avg views ÷ 48,424 subscribers
- Avg views / post
- 2,580
- 30 posts measured
- Reaction rate
- 0.03%
- reactions ÷ views · ER floor
- Posts in window
- 30
- of 54 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 30 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 54 (1 August 2026 – 29 September 2026) |
| Views total | 77,450 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 08:02 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
- 658
- Videos
- 158
- Links
- 90
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
- 5m 33s
- Average length
- 11s
Measured directly from 31 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
26 reactions across 20 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 26 | 100.0% |
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 31 of the 54 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 1 August 2026 to 29 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
🎀艺名: 雪莲 🌈地址: 建邺区 💥课费:700P-1400PP 🚀联系:@yxue777 💎小窝:@yxue7777 ✏️视频:已认证✅ 🚀🌈🌈
❤1
南京全裸五T海选高端会所❤️👍 报销路费💰 每天出勤15➕🌹 全场蛋蛋后🩷 姐妹花+大学生兼职 少妇+ 模特+幼师 豪华5️⃣推顶级服务、 莞式服务,全裸真空 60分钟 不限次数 上下可亲可摸,可69 独龙🐉 手 足 胸 臀 毛 猴子偷桃,海底捞月,蚂蚁上书,高山流水,一技独秀, 丝袜随便撕、艳舞互动、18个半莞式调情服务流程、配合度极高 不满意免单!!! 独立卫浴 私密性强 高颜值服务 营业时间:中12点-凌晨05点 电报预约:https://t.me/yangkk 选妃频道: https://t.me/kkuuyy30399 聊天群组:https://t.me/kkuuyy303 QQ: 3371047178 电话☎️:19855838091(微信同)
❤2
🎟️ 抽奖标题:南京淼淼老师福利来了 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@miaomiaoya1789 🎫 参与条件: 🎫 加入-南京淼淼的空间 🎫 加入-南京修车学院资源榜 🎫 加入-修车学院交流群 🎁 奖品内容: 💰️ 夜课优惠劵500 × 5 💰️ 1P优惠劵100 × 5 📅 开奖时间:2026-09-23 15:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L178981834393
❤2
🎟️ 抽奖标题:南京萌萌老师福利来了 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@mengmeng5987 🎫 参与条件: 🎫 加入-萌萌的个人私域福利 🎫 加入-南京修车学院资源榜 🎫 加入-修车学院交流群 🎁 奖品内容: 💰️ 夜课优惠劵300 × 5 💰️ 2P优惠劵200 × 5 💰️ 1P优惠劵100 × 8 💰️ 口令红包10 × 1 📅 开奖时间:2026-09-22 14:04自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L178970435619
🎀艺名: 萌萌 🌈地址: 江宁区 💥课费:600P 1200PP 🚀联系:@mengmeng5987 💎小窝:https://t.me/mengmeng1086 👀双向:@mengmeng5987_bot ✏️视频:已认证✅ 🚀🌈🌈
❤1
🎀艺名: 妞妞 双飞 🌈地址: 鼓楼区 💥课费:双非一小时800单人夜1200淋浴漫游独龙六九深喉双人舔龙根一个舔龙根一个舔菊花可颜社可口爆 可蛇吻 做爱 换人不换套 🚀联系:@tiyan520 💎小窝:https://t.me/shuangfeishunv666 电话:15205171589 与你号:tiyan520 ✏️视频:已认证✅ 🚀🌈🌈
❤2
🎀艺名: 贝贝 🌈地址: 建邺区 💥课费:600P 1200PP 🚀联系:@lbeier 💎小窝:https://t.me/keaibeibei 👀双向:@xiaobei66_bot ✏️视频:已认证✅ 🚀🌈🌈
❤2
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🎀艺名: 楠楠 🌈地址: 鼓楼区 💥课费:500/700 🚀联系:@Njnj888 💎小窝:https://t.me/duoduonjnj 👀双向:@Annibaobei_bot ✏️视频:已认证✅ 🚀🌈🌈
🎀艺名: 妞妞 🌈地址: 雨花台区 💥课费:600P-1200PP 🚀联系:@lyanyanr 💎小窝:https://t.me/xiaobaoniuniu 👀双向:@meiniuniu6_bot ✏️视频:已认证✅ 🚀🌈🌈
❤1
🎀艺名: 阿肖 🌈地址: 栖霞区 💥课费:600P-1200PP 🚀联系:@sxiaoa 💎小窝:https://t.me/xiaoaiooho 👀双向:@shiao00_bot ✏️视频:已认证✅ 🚀🌈🌈
Showing the 12 most recent of 54 posts we hold for @nanjinxc1. 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 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.
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 1,814,5616 posts修车学院交流群
@nanjinxc2 · 49,7564 posts🧧GT免费抽奖机器人🧧
@zzbjqrbot · 17,9954 posts南京高端5Tspa会所
@kkuuyy30399 · 6323 posts喷💦衣如雪后花园🌸
@xuangil · 1,1663 posts南京中圈-【全国外围】
@nanjin698 · 1,3872 posts南京商K|真空游戏|摸摸唱
@nanjingsk1 · 2,2602 posts暖暖的小窝🥰
@naunuanduh · 1,4342 posts南京私影女仆·南京西西里总频道
@NJSicily · 8,6332 posts南京西西里·女仆私影交流总群
@NJXXLZQ · 9,9542 posts鼓楼喷水双非
@shuangfeishunv666 · 2,3522 posts南京【探花】交流群
@taohuadao698 · 2,6362 posts南京❤️水磨❤️小奶牛
@dan160307 · 5,5601 post大圣资源共享🌏
@datgzs · 77,7801 post梁楠楠
@duoduonjnj · 2311 post极品白虎一线天佳多饱
@JiaduoBBNJ · 1941 post南京个人美美
@meimei617 · 491 post南京-伊美【大圈外围】资料榜
@nanjin699 · 361 post南站晴儿个人95交流群
@nanjingdeqinger · 11,5631 post南京南站妞妞小窝
@pangniuniu521 · 1,0991 post妞妞(雨花台区)🌹🉑上门
@xiaobaoniuniu · 81 post鼓楼小米米个人频道
@xiaomier555 · 7241 post南京旅行攻略总群(靠谱)
@yunshangspa · 2,0361 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.
“南京修车学院资源榜” (@nanjinxc1), 48,424 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/nanjinxc1.
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.