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Channel

南京太阳城资源榜

@njtuc2

Has discussion group

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

54,258subscribers

+6,899 since we began measuring on 11 September 2026

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

Register entry

Telegram ID-1002210064961
TypeChannel
Username@njtuc2
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 September 2026
Last confirmed live3 November 2026
Measurements held30
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/njtuc2

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 3 October 2026 and assigned it the closest of 31 fixed categories, at 92% 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.

Growth

47,27654,25850,76711 September 2026 — 47,359 subscribers13 September 2026 — 47,276 subscribers14 September 2026 — 47,478 subscribers16 September 2026 — 47,664 subscribers18 September 2026 — 47,969 subscribers24 September 2026 — 48,522 subscribers3 October 2026 — 49,109 subscribers8 October 2026 — 49,580 subscribers12 October 2026 — 50,025 subscribers14 October 2026 — 50,169 subscribers15 October 2026 — 50,173 subscribers16 October 2026 — 50,539 subscribers17 October 2026 — 51,035 subscribers18 October 2026 — 51,338 subscribers19 October 2026 — 51,513 subscribers20 October 2026 — 51,668 subscribers22 October 2026 — 51,864 subscribers23 October 2026 — 52,108 subscribers23 October 2026 — 51,591 subscribers24 October 2026 — 51,605 subscribers25 October 2026 — 51,737 subscribers26 October 2026 — 51,876 subscribers27 October 2026 — 51,932 subscribers28 October 2026 — 52,002 subscribers29 October 2026 — 52,078 subscribers30 October 2026 — 52,594 subscribers31 October 2026 — 53,219 subscribers1 November 2026 — 53,703 subscribers2 November 2026 — 54,070 subscribers3 November 2026 — 54,258 subscribers11 September 20263 November 2026
30 measurements spanning 53 days, net +6,899. 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 46,229–55,305 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
3 Nov 2026, 13:5754,258+188
2 Nov 2026, 17:0654,070+367
1 Nov 2026, 19:5953,703+484
31 Oct 2026, 16:4653,219+625
30 Oct 2026, 13:5552,594+516
29 Oct 2026, 13:5752,078+76
28 Oct 2026, 16:1752,002+70
27 Oct 2026, 17:3651,932+56
26 Oct 2026, 20:2751,876+139
25 Oct 2026, 19:0851,737+132
24 Oct 2026, 20:1051,605+14
23 Oct 2026, 22:1651,591-517
23 Oct 2026, 00:5152,108+244
22 Oct 2026, 03:1151,864+196
20 Oct 2026, 19:0751,668+155
19 Oct 2026, 15:3751,513+175
18 Oct 2026, 16:3651,338+303
17 Oct 2026, 13:3751,035+496
16 Oct 2026, 10:0150,539+366
15 Oct 2026, 09:0050,173first reading

Engagement

35 posts held, back to 30 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 104 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.53%
avg views ÷ 54,258 subscribers
Avg views / post
3,000
20 posts measured
Reaction rate
0.037%
reactions ÷ views · ER floor
Posts in window
20
of 35 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 7 of 20 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 2 November 2026
Posts held35 (30 August 2026 – 2 November 2026)
Views total59,995
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 11:41 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

Video runtime
1m 17s
Average length
10s

Measured directly from 8 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

17 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 94.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1694.1%
👏15.88%

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 15 of the 35 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 30 August 2026 to 2 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

2 Nov 2026, 10:00 UTC185 viewsread 3 November 2026

抽奖奶霸老师抽奖福利(编号L179344745972)已成功开奖: 创建人:雄霸[5571246450] 已参与人数:668 中奖名单如下: 落日*[57541190**](奖品为2p优惠券200) 画水做*[59694165**](奖品为1p优惠券100) 风会停*[60768379**](奖品为口令红包10) 共勉☀*[61131152**](奖品为2p优惠券200) 吹晚风*[62202926**](奖品为1p优惠券100) 狗*[62493149**](奖品为夜课优惠券500) 腐化*[64552002**](奖品为2p优惠券200) 陈道*[64854302**](奖品为夜课优惠券500) 丹凤*[65901806**](奖品为1p优惠券100) 春*[66400463**](奖品为2p优惠券200) 静安*[67175869**](奖品为2p优惠券200) 邓金*[68217390**](奖品为2p优惠券200) 浮…

1 Nov 2026, 06:17 UTC≈3,100 viewsread 3 November 2026
Photo

💋名字: #晨晨 #已认证 🗺地区: #南京 #江宁区 💸价格:500P—900PP 🚀联系: @yeuyue668 👀频道: https://t.me/nyueyue66 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势

31 Oct 2026, 11:54 UTC≈2,780 viewsread 3 November 2026
Photo

🎟️ 抽奖标题:奶霸老师抽奖福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@cnmb011 🎫 参与条件: 🎫 加入-南京00后奶霸自聊小窝❤️ 🎫 加入-南京太阳城资源榜 🎫 加入-南京太阳城 🎁 奖品内容: 💰️ 口令红包10 × 1 💰️ 夜课优惠券500 × 5 💰️ 2p优惠券200 × 10 💰️ 1p优惠券100 × 10 📅 开奖时间:2026-11-02 18:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L179344745972

31 Oct 2026, 10:32 UTC≈1,850 viewsread 3 November 2026
Photo

💋名字: #00后奶霸 #已认证 🗺地区: #南京 #栖霞区 💸价格:800P — 1600PP 💬资料:年龄23 身高173 🐻38G 🚀联系: @cnmb011 👀频道: https://t.me/vjjvhm14 机器人: @HFnb172bot 🎀标签: #鸳鸯浴 #无套吹 #69 #🐻推 #制服诱惑 #毒龙 #各种调情

29 Oct 2026, 07:07 UTC≈3,020 viewsread 3 November 2026
Photo

🎟️ 抽奖标题:老板娘抽奖福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@cdfslbn 🎫 参与条件: 🎫 加入-南京04年花店老板娘38D频道🌹 🎫 加入-南京太阳城资源榜 🎫 加入-南京太阳城 🎁 奖品内容: 💰️ 口令红包10 × 1 💰️ 夜课优惠券400 × 5 💰️ 2p优惠券300 × 10 💰️ 1p优惠券200 × 10 📅 开奖时间:2026-10-31 15:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L179325731088

28 Oct 2026, 09:28 UTC≈1,620 views1 reactionsread 3 November 2026
Photo

💋名字: #兔牙 #已认证 🗺地区: #南京 #建邺区 💸价格:800P—1500PP 🚀联系: @Tuyayue 👀频道: https://t.me/tuyazizi 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势

❤1

24 Oct 2026, 07:04 UTC≈3,380 viewsread 3 November 2026
Photo

【老 师 艺 名】#静静 【所 在 位 置】#南京 #雨花台 【茶 位】#6P #12PP 【服 务 类 型】#胸推 #69式 #毒龙 【联 系 方 式】@jingjingg9 【老 师 频 道】@jingjingo6 【双向机器人】@jingjing633bot 备注: #个人老师

21 Oct 2026, 06:07 UTC≈3,540 views1 reactionsread 31 October 2026
Photo

💋名字: #木木 #已认证 🗺地区: #南京 #栖霞区 💸价格:600P — 800P 💬资料:年龄23 身高168 体重50 🐻C➕ 🚀联系: @qq3322609453 👀频道: https://t.me/mumu8866997 🐧🐧:3322609453 🎀标签: #鸳鸯浴 #无套口 #指滑 #🐻推 #漫游 #过水 #调情

❤1

18 Oct 2026, 04:49 UTC≈3,700 viewsread 30 October 2026
Photo

💋名字: #婷婷 #已认证 🗺地区: #南京 #江宁区 💸价格:900P—1700PP 🚀联系: @gfhexs11 👀频道: https://t.me/qingqing22121 🎀标签: #鸳鸯浴 #无套口 #69 #丝袜制服 #各种姿势

16 Oct 2026, 09:43 UTC≈5,340 viewsread 30 October 2026
Photo

💋名字: #大乔 #已认证 🗺地区: #南京 #栖霞区 💸价格:800P —1500PP 💬资料: 身高168 年龄21 体重58GK 🐻36E 🚀联系: @njdqbb 👀频道:https://t.me/nanjdq 机器人:@njdqbbbot 🎀标签: #口爆 #69 #亲吻 #毒龙 #69 #观音坐莲 #水中箫 #鸳鸯浴 #臂推 #🐻推 #舌头刮痧 #360度口深喉 #SM调教 #舔蛋 #无套口 #丝袜高跟 #小猫钓鱼

16 Oct 2026, 04:02 UTC≈3,790 views2 reactionsread 27 October 2026
Photo

💋名字: #知知 #已认证 🗺地区: #南京 #建邺,秦淮区 💸价格:600P —1200PP 🚀联系: @zhizhi51888 👀频道:@zhizhi518888 机器人:@zhizhi51888_bot 🎀标签: #服务内容详细课表见

❤2

15 Oct 2026, 09:12 UTC≈2,990 viewsread 20 October 2026
Photo

🎟️ 抽奖标题:老板娘抽奖福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@cdfslbn 🎫 参与条件: 🎫 加入-南京04年花店老板娘38D频道🌹 🎫 加入-南京太阳城资源榜 🎫 加入-南京太阳城 🎁 奖品内容: 💰️ 口令红包10 × 1 💰️ 夜课优惠券400 × 5 💰️ 2p优惠券300 × 10 💰️ 1p优惠券200 × 10 📅 开奖时间:2026-10-17 14:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L179205519630

Showing the 12 most recent of 35 posts we hold for @njtuc2. 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

@njtuc2 edited 2 posts 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
22 September 2026
Most recent edit
19 October 2026

Mentions

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

“南京太阳城资源榜” (@njtuc2), 54,258 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/njtuc2.

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.