Telegram RegisterThe public register of Telegram

Channel

武汉楼凤榜 🅥

@wuhanbc

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

76,866subscribers

+2,199 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-1002109293141
TypeChannel
Username@wuhanbc
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/wuhanbc

Growth

74,66776,86675,766.57 August 2026 — 74,667 subscribers7 August 2026 — 74,667 subscribers7 August 2026 — 74,693 subscribers8 August 2026 — 74,969 subscribers9 August 2026 — 75,253 subscribers10 August 2026 — 75,679 subscribers11 August 2026 — 75,833 subscribers12 August 2026 — 76,104 subscribers13 August 2026 — 76,866 subscribers7 August 202613 August 2026
9 measurements spanning 6 days, net +2,199. 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 74,337–77,196 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 14:0576,866+762
12 Aug 2026, 12:4376,104+271
11 Aug 2026, 13:3275,833+154
10 Aug 2026, 15:4875,679+426
9 Aug 2026, 12:5175,253+284
8 Aug 2026, 11:2774,969+276
7 Aug 2026, 14:4074,693+26
7 Aug 2026, 13:1574,667no change
7 Aug 2026, 13:0874,667first reading

Engagement

44 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
3.70%
avg views ÷ 76,866 subscribers
Avg views / post
2,850
44 posts measured
Reaction rate
0.08%
reactions ÷ views · ER floor
Posts in window
44
of 44 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 44 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 13 August 2026
Posts held44 (6 August 202613 August 2026)
Views total125,240
Reactions total49
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 07:19 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
3m 05s
Average length
12s

Measured directly from 15 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

49 reactions across 25 posts, in 3 distinct kinds. The most used accounts for 91.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4591.8%
💩24.08%
🤡24.08%

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 44 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 49reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 44 most recent posts we hold, published 6 August 2026 to 13 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

13 Aug 2026, 07:11 UTC49 viewsread 13 August 2026
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💐老师:#小雨 😦#江岸区 😦课费: 700p 1400pp 🐱电报: @Ak98752 ✏️频道: t.me/Anny1a6 🤖双向: 🈚 报告榜 报告模板 报告提交 聊天群1 : @wuhanp 聊天群2 : @wuhannn 楼凤榜 : @wuhanbc 上榜员 :@wuhanbbot

13 Aug 2026, 06:05 UTC≈5,830 viewsread 13 August 2026
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位置📍 🔥🔥.洪山区雄楚一号 🔥🔥 武汉站 欢乐谷 🔥🔥汉阳区美好广场 🔥🔥江岸区后湖 👍本店全果 4T 颜值服务天花板 🔥🔥激情莞式服务🔥🔥 👷颜控首选有过程包结果 👷 🥰小姐姐在线4️⃣0️⃣➕ 项目:各种制服💃主题剧情 🥰过水毒龙 丝滑😌乳交 🥰漫游冰火 SM调教 🥰水摩拉丝 🤗丝足骑士 🥰手T+胸T+足T+臀T +腿T+舌电+漫游🥰 😍 🥰 🥰 🤨 😋 🩲 这里玩的嗨皮 玩的刺激 【🚫停车便捷 私密安全🛡】 【❌不充值🚫不办卡🔥无套路】 📱【🐭只做精品🐭】 🔥营业时间:12:00 - 4:00 💀 ℹ️【联系客服拿准确地址📍 🔥电话13757703043(微信同号) 🔥飞机

13 Aug 2026, 01:25 UTC643 viewsread 13 August 2026
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💐老师:#泡芙 😦#南湖 😦课费: 1100p 1600pp 🐱电报: @pf5210 ✏️频道: t.me/paofu5212 🤖双向: @xiaoPf_520bot 报告榜 报告模板 报告提交 聊天群1 : @wuhanp 聊天群2 : @wuhannn 楼凤榜 : @wuhanbc 上榜员 :@wuhanbbot

13 Aug 2026, 01:13 UTC≈5,910 viewsread 13 August 2026

点击蓝色字体查看详细资料, 成交只是起点服务没有终点 武汉全区养身⚡️⚡高端SPA ⬇️⬇️⬇️ 😀😀😀😀😀😀😀😀😀 #武汉三镇半套养身95 98 💊 #汉口区江岸区养身SPA 💊 #武汉顶级全裸8T 💊 #武汉全裸多家顶颜嫩妹 💊 #武汉 4T 颜值服务天花板 💊 #武汉市洪山区光谷9T会所 💊 #武汉9️⃣4️⃣高端海选4T 💊 #武汉全裸9T会所门店海选 💊 #汉口养生#武汉会所#武汉桑拿 💊 #武汉全场嫩妹会所大海选 💊 😀😀😀😀😀😀😀😀😀 #武汉养身会所 ⬇️ #武汉专业养身全裸口爆 💊 #武汉摸摸唱 ⬇️ #武汉特色小时场 特色片场 💊 😀😀😀😀😀😀😀😀😀 #武汉抓龙筋 👍😁😍

13 Aug 2026, 01:07 UTC≈5,530 views2 reactionsread 13 August 2026

🐣 武汉修车总群 💥💥💥 ⬇️⬇️⬇️ 🐣 点击蓝色字体跳转 #武昌区 ⬇️⬇️⬇️ #南湖 子琪 锦鲤 可可 欣悦儿 依依 浅浅 姝姝 思思 天蝎 瑶欣儿 泡芙 #武昌 #白沙洲 白沙洲妍妍 雯雯 悠悠 #汉阳区 ⬇️⬇️⬇️ 莉娅 浅浅女王 温婉 小小喵 欣欣 小慧 圆圆 楚楚 优颜颜 #洪山区 ⬇️⬇️⬇️ 雅琴 SM梦梦 小西 苏苏 夏夜 光谷薇薇 纯又又 青柠儿 媛媛 九九 小兰花 桔子 甜甜 大漂亮 小敬 梅梅 小雅 小白 曼玉 洪山妍妍 公寓海选 瑶一瑶 柚子 佳佳嫩妹

2

12 Aug 2026, 15:52 UTC≈1,050 views1 reactionsread 13 August 2026
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💐老师:#95星星 😦#洪山 😦课费: 400p 🐱电报: @eeswarannnn ✏️频道: @xingxingdepy 🤖双向: @Xiaoluoujhyjjyubot 聊天群1 : @wuhanp 聊天群2 : @wuhannn 楼凤榜 : @wuhanbc 上榜员 :@wuhanbbot

1

12 Aug 2026, 13:34 UTC≈1,190 views1 reactionsread 13 August 2026
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🔰武汉全场嫩妹会所大海选🔰 #八戒 🌈新店开业大酬宾 全场400🎉 🔰 湖武汉市嫩妹全场全裸9T 🔰 🔰金牌客服:@HZ88007 🔰加入技师点评频道:https://t.me/NBN8899 🔰技师频道 : https://t.me/NBB8887 🔰加入群组 : https://t.me/RCG8899 🔰双向机器人🤖: @NB5887bot 🔰电话预约☎️: 18162349983 🔰微信🛰1️⃣预约:Z555L222H000 🏅微信2️⃣预约:W888Z999Y888 🔰QQ🐧1️⃣预约:2980228817 🏅QQ🐧2️⃣预约:2019210854 👑(武汉市超级全裸9T升级版)🔰 🔰原价:5️⃣9️⃣9️⃣预约价4️⃣0️⃣0️⃣ 🔰[评价三十个字加拍照图片优惠🔰 🔰买单价格:4️⃣0️⃣0️⃣元🔰 🔰免费提供各类情趣丝袜可带走🔰 🔰服务时间60分钟.(满钟)🔰 🔰全场高颜值 主打00后嫩妹

1

12 Aug 2026, 12:23 UTC728 views1 reactionsread 12 August 2026
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💐老师:#夏沫 😦#洪山 😦课费: 600p 1200pp 🐱电报: @xiaorubaobaokaike ✏️频道: t.me/xiamo65537 🤖双向: @xiamo65589_bot 聊天群1 : @wuhanp 聊天群2 : @wuhannn 楼凤榜 : @wuhanbc 上榜员 :@wuhanbbot

1

12 Aug 2026, 11:48 UTC765 views2 reactionsread 12 August 2026
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💐老师:#欣欣 😦#洪山 😦课费: 600p 1100pp 🐱电报: @shenwangbaobei ✏️频道: t.me/xinxin4748 🤖双向: @xinxin83665_bot 聊天群1 : @wuhanp 聊天群2 : @wuhannn 楼凤榜 : @wuhanbc 上榜员 :@wuhanbbot

2

11 Aug 2026, 16:48 UTC867 views1 reactionsread 12 August 2026
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💐老师:#青柠儿 😦#洪山 😦课费: 1000p 1400pp 🐱电报: @Wh520055 ✏️频道: @Wh52005 🤖双向: @Qingning5210_bot 聊天群1 : @wuhanp 聊天群2 : @wuhannn 楼凤榜 : @wuhanbc 上榜员 :@wuhanbbot

1

11 Aug 2026, 16:46 UTC841 views0 reactionsread 12 August 2026
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💐老师:#柚子 😦#洪山 😦课费: 700p 1100pp 🐱电报: @Lucia234983 ✏️频道: @toumingww 🤖双向: @toumwaiwbot 聊天群1 : @wuhanp 聊天群2 : @wuhannn 楼凤榜 : @wuhanbc 上榜员 :@wuhanbbot

11 Aug 2026, 12:10 UTC≈1,240 views5 reactionsread 12 August 2026
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💐老师:#悠悠 😦#武昌 😦课费: 600p 1100pp 🐱电报: @You2026811 ✏️频道: @you7733 🤖双向: 待补充 聊天群1 : @wuhanp 聊天群2 : @wuhannn 楼凤榜 : @wuhanbc 上榜员 :@wuhanbbot

5

Showing the 12 most recent of 44 posts we hold for @wuhanbc. 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 — 786,393 of 1,169,250entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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.

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

“武汉楼凤榜 🅥” (@wuhanbc), 76,866 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/wuhanbc.

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.