Telegram RegisterThe public register of Telegram
Telegram profile photo for 佛山车友会公开榜

Channel

佛山车友会公开榜

@fsuu88

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

27,583subscribers

+2,480 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001027774892
TypeChannel
Username@fsuu88
CreatedBetween 1 January 2016 and 31 March 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/fsuu88

Growth

25,10327,58326,3437 August 2026 — 25,103 subscribers7 August 2026 — 25,103 subscribers8 August 2026 — 25,211 subscribers9 August 2026 — 25,268 subscribers10 August 2026 — 25,391 subscribers11 August 2026 — 25,456 subscribers12 August 2026 — 25,515 subscribers13 August 2026 — 25,702 subscribers14 August 2026 — 25,882 subscribers16 August 2026 — 26,135 subscribers17 August 2026 — 26,315 subscribers18 August 2026 — 26,345 subscribers19 August 2026 — 26,413 subscribers21 August 2026 — 26,509 subscribers22 August 2026 — 26,666 subscribers24 August 2026 — 26,750 subscribers25 August 2026 — 26,882 subscribers26 August 2026 — 26,943 subscribers27 August 2026 — 27,049 subscribers27 August 2026 — 27,088 subscribers28 August 2026 — 27,189 subscribers29 August 2026 — 27,237 subscribers30 August 2026 — 27,349 subscribers31 August 2026 — 27,434 subscribers1 September 2026 — 27,477 subscribers3 September 2026 — 27,505 subscribers4 September 2026 — 27,583 subscribers7 August 20264 September 2026
27 measurements spanning 28 days, net +2,480. 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 24,731–27,955 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
4 Sept 2026, 14:5827,583+78
3 Sept 2026, 01:3527,505+28
1 Sept 2026, 20:5627,477+43
31 Aug 2026, 19:5727,434+85
30 Aug 2026, 18:3327,349+112
29 Aug 2026, 19:1327,237+48
28 Aug 2026, 18:4327,189+101
27 Aug 2026, 22:0527,088+39
27 Aug 2026, 00:3827,049+106
26 Aug 2026, 00:5826,943+61
25 Aug 2026, 03:3826,882+132
24 Aug 2026, 00:0926,750+84
22 Aug 2026, 10:0626,666+157
21 Aug 2026, 01:2526,509+96
19 Aug 2026, 22:1326,413+68
18 Aug 2026, 23:3226,345+30
17 Aug 2026, 20:0626,315+180
16 Aug 2026, 16:5526,135+253
14 Aug 2026, 23:0625,882+180
13 Aug 2026, 17:4925,702first reading

Engagement

179 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 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.60%
avg views ÷ 27,583 subscribers
Avg views / post
993
177 posts measured
Reaction rate
0.085%
reactions ÷ views · ER floor
Posts in window
179
of 179 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 67 of 177 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 4 September 2026
Posts held179 (6 August 20264 September 2026)
Views total175,749
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Sept 2026, 12:34 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
9m 19s
Average length
7s

Measured directly from 82 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

60 reactions across 53 posts, in 2 distinct kinds. The most used accounts for 98.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5998.3%
😁11.67%

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 67 of the 179 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 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 179 most recent posts we hold, published 6 August 2026 to 4 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

4 Sept 2026, 11:17 UTC≈1,030 views1 reactionsread 4 September 2026
Photo

艺名: 小晴晴 地区: #禅城 一次:600 两次:1200 电报: @yyvhjsn 频道: https://t.me/xjxjsjxjjxjjd11 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

1

4 Sept 2026, 10:58 UTC719 viewsread 4 September 2026
Photo

艺名: 夏夏 地区: #禅城 一次:500 两次:900 电报: @chuxia2233 频道: https://t.me/weiweidhouhuay1 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

4 Sept 2026, 07:42 UTC734 viewsread 4 September 2026
Photo

艺名: 小花 地区: #南海 #桂城 一次: 700 两次:1300 电报: @xiao_hua_2025 频道: @xiao_hua_hua_qun 报告榜👉 : @FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

4 Sept 2026, 06:17 UTC845 viewsread 4 September 2026
Photo

艺艺名: 六六 地区: #禅城 一次:600 两次:1200 电报:@wvg520 新频: t.me/hbsg520 双向:@aqtqv520_bot 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

3 Sept 2026, 05:29 UTC≈1,180 views0 reactionsread 3 September 2026
Photo

艺名: 阿依古丽 地区: #禅城 一次:700 两次:1400 电报: @chbyh77 频道: https://t.me/bujmk 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

3 Sept 2026, 04:58 UTC769 viewsread 3 September 2026
Photo

#佛山禅城张搓94MMK 电话☎-15398978020 微信:15398978020 🌸wx:QAZ116462 qq-331290975 🐧-1164626413 qq-3905057720 qq-3786230016 飞机✈联系:@hzx1451 tg群:https://t.me/+4LfYdf6SafIzM2M9 94天花板.原价499 预约价439 🉑🉑来指定服装🥰🥰 五星服务⭐️专业手法🐻 95后妹子🌷06后妹子👅 营业时间:12:00至05:00 ⭐⭐⭐本店主打颜值牌 胸打👍 🔥✒️🧡🧡💚🖤🔥 特色:🉑服装指定,角色扮演,+黑丝,真,主打贴身,好玩,圣 😀😀服务内容:性感服装,圣诞🎄限定,sm限定,🉑指定,艳舞互动,秀🦵秀臀 秀, 💎严格培训 顶级服务,完美出品,绝对给你感受到全新体验👍👍 💥杜绝客户踩雷,打造一流服务品质 🌸爆款推荐:6666-1111-888-000-999

2 Sept 2026, 15:39 UTC≈3,600 viewsread 3 September 2026
Photo

艺名: 泡泡 地区: #禅城 一次:600 两次:800 电报: @hello77lili 频道: https://t.me/+keSkdHI1ijVlNWU1 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

2 Sept 2026, 11:28 UTC≈3,150 viewsread 2 September 2026
Photo

艺名: 香香 地区: #禅城 一次:500 两次:1000 电报: @xiang2678 频道: https://t.me/xiang67887 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

2 Sept 2026, 11:20 UTC≈3,170 viewsread 2 September 2026
Photo

艺名: 米娅 地区: #禅城 一次:500 两次:1000 电报: @Miamiayaia 频道: https://t.me/wzuoni111 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

2 Sept 2026, 08:37 UTC≈1,080 views1 reactionsread 2 September 2026
Photo

艺艺名: 奈奈 地区: #禅城 一次: 800 两次:1500 电报: @nianaiccc 频道: https://t.me/nainaixx123 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

1

2 Sept 2026, 07:51 UTC≈3,990 viewsread 2 September 2026
Photo

🔥广佛上门外出,靠谱老中介-啵啵姬 安排联系👉 @boboji1419 更多对版妹子查看👉 https://t.me/fsboboji 双向机器人:@boboji1419bot

2 Sept 2026, 05:26 UTC≈2,500 viewsread 2 September 2026
Photo

艺艺名: 小歪哟 地区: #顺德 一次: 700 两次:1300 电报: @xiaowaiyom 频道: https://t.me/xiaowaiyou 报告榜:@FSCJBG 🧧 现金刮刮乐 🚺 白嫖抽奖 📝 提交报告👉 可获得288现金积分以及288白嫖积分参加抽奖活动!

Showing the 12 most recent of 179 posts we hold for @fsuu88. 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 8 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 4 September 2026 — this entry's latest reading, not the date you are reading this.

“佛山车友会公开榜” (@fsuu88), 27,583 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/fsuu88.

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.