Telegram RegisterThe public register of Telegram

Channel

广州资源榜

@GCCITY

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

137,966subscribers

+1,677 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001575801135
TypeChannel
Username@GCCITY
Description机器人自动收录广州已验证资源
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/GCCITY

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 71% 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

136,289137,966137,127.57 August 2026 — 136,289 subscribers7 August 2026 — 136,339 subscribers8 August 2026 — 136,861 subscribers9 August 2026 — 137,060 subscribers10 August 2026 — 137,388 subscribers11 August 2026 — 137,698 subscribers12 August 2026 — 137,966 subscribers7 August 202612 August 2026
7 measurements spanning 5 days, net +1,677. 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 136,037–138,218 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:44137,966+268
11 Aug 2026, 13:25137,698+310
10 Aug 2026, 10:31137,388+328
9 Aug 2026, 10:51137,060+199
8 Aug 2026, 12:44136,861+522
7 Aug 2026, 11:32136,339+50
7 Aug 2026, 07:01136,289first reading

Engagement

35 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.16%
avg views ÷ 137,966 subscribers
Avg views / post
1,590
35 posts measured
Reaction rate
0.219%
reactions ÷ views · ER floor
Posts in window
35
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 27 of 35 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 August 2026
Posts held35 (6 August 202612 August 2026)
Views total55,779
Reactions total100
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:14 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
2,910
Videos
856
Links
582

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

Video runtime
2m 13s
Average length
7s

Measured directly from 19 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

100 reactions across 22 posts, in 10 distinct kinds. The most used accounts for 48.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4848.0%
🔥1515.0%
👍1212.0%
😱1010.0%
👏55.00%
🤣55.00%
🍌22.00%
😁11.00%
🤯11.00%
🥰11.00%

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 27 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 100reactions 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 6 August 2026 to 12 August 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

12 Aug 2026, 10:51 UTC≈1,700 views3 reactionsread 12 August 2026
Photo

地区:#海珠 艺名:小鹿baby 验证:视频报日期验证 课表:700/1 TG :@xiaolu009988 标签:#嫩妹 #制服 #鸳鸯浴 #69 #蛇吻 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约小鹿baby 报告奖励200 分

3

12 Aug 2026, 08:34 UTC≈1,970 views2 reactionsread 12 August 2026
Photo

地区:#越秀 艺名:伊瑶 验证:视频报日期验证 课表:700/1 TG :@xiao1yaoyao 标签:#御姐 #制服 #鸳鸯浴 #双飞 #姐妹花 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约伊瑶 报告奖励:200 分

2

12 Aug 2026, 07:53 UTC≈1,920 views3 reactionsread 12 August 2026
Photo

地区:#天河 艺名:囡囡 验证:视频报日期验证 课表:1000/1 TG :@guangzhouDongpu 标签:#嫩妹 #制服 #鸳鸯浴 PS:课后请在下方评论反馈 🐾约课写报告

1👍1🔥1

12 Aug 2026, 06:50 UTC≈1,960 views4 reactionsread 12 August 2026
Photo

地区:#金沙洲 艺名:陆星瑶 验证:视频报日期验证 课表:800/1 TG :@suyanbai 标签:#嫩妹 #制服 #鸳鸯浴 #69 #蛇吻 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约陆星瑶 报告奖励200 分

2👍1🔥1

12 Aug 2026, 05:31 UTC255 viewsread 12 August 2026
Photo

地区:#金沙洲 艺名:江知白 验证:视频报日期验证 课表:800/1 TG :@xinyi66589 标签:#嫩妹 #制服 #鸳鸯浴 #69 #蛇吻 #E胸 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约江知白 报告奖励200 分

12 Aug 2026, 04:54 UTC468 views1 reactionsread 12 August 2026
Photo

地区:#白云 艺名:初一 验证:视频报日期验证 课表:600/1 TG :@kkion5 标签:#御姐 #制服 #鸳鸯浴 #69 #蛇吻 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约初一老师 报告奖励200 分

🍌1

11 Aug 2026, 11:58 UTC≈2,360 views1 reactionsread 12 August 2026
Photo

地区:#天河 艺名:玥琳 验证:视频报日期验证 课表:500/1 TG :@huilin9665 标签:#御姐 #制服 #鸳鸯浴 #69 #蛇吻 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约御姐玥琳 报告奖励200 分

1

11 Aug 2026, 10:19 UTC≈2,380 views6 reactionsread 12 August 2026
Photo

地区:#天河 艺名:小蜜桃 验证:视频报日期验证 课表:500/1 TG :@xiaomitaoya 标签:#嫩妹 #制服 #鸳鸯浴 #毒龙 #69 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约小蜜桃 报告奖励:200 分

4👍1🔥1

11 Aug 2026, 09:31 UTC≈1,910 views6 reactionsread 11 August 2026
Photo

地区:#天河 艺名:可可 验证:视频报日期验证 课表:500/1 TG :@kekeaibaobao22 标签:#御姐 #制服 #鸳鸯浴 #69 #蛇吻 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约车陂可可 报告奖励200 分

3👍1🔥1🤯1

11 Aug 2026, 07:51 UTC≈1,770 views2 reactionsread 11 August 2026
Photo

地区:#天河 艺名:糖糖 验证:视频报日期验证 课表:500/1 TG :@ling55520_bot 标签:#BBW #大胸 #蛇吻 #鸳鸯浴 PS:课后请在下方评论反馈 🐾约课写报告

2

10 Aug 2026, 12:51 UTC520 views0 reactionsread 10 August 2026
Photo

偷了一千 外出到外语外贸学校 搞完了说加我微信 我去桌子上拿手机 突然就 就给我包里现金拿了,应该是那个学校老师

10 Aug 2026, 11:56 UTC750 viewsread 10 August 2026
Photo

地区:#天河 艺名:香香 验证:视频报日期验证 课表:800/1 TG :@XXLSby 标签: #正妹 #蛇吻 #鸳鸯浴 PS:课后请在下方评论反馈 🐾约课写报告

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

Citation-graph rank

Citation-graph rank — 39,998 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 11 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“广州资源榜” (@GCCITY), 137,966 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/GCCITY.

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.