Telegram RegisterThe public register of Telegram

Channel

杭州公开认证榜(御女阁)

@hangzhou_888

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

48,941subscribers

+765 since we began measuring on 9 August 2026

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

Register entry

Telegram ID-1001918623688
TypeChannel
Username@hangzhou_888
Description杭州最真实最全面楼凤信息资源大全 @hangzhou_buzhang 唯一管理账号(如遇私信不了请私信传话筒 @hzbuzhang_bot )其他主动私聊的都是冒充的骗子,真实楼凤自聊资源参考,主群 t.me/hangzhou_777 Hello @Telegram My channel has not violated the rules and policy of using Telegram. Please pay attention. @rove
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live15 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/hangzhou_888

Growth

48,17648,94148,558.59 August 2026 — 48,176 subscribers10 August 2026 — 48,179 subscribers10 August 2026 — 48,244 subscribers11 August 2026 — 48,301 subscribers12 August 2026 — 48,358 subscribers14 August 2026 — 48,446 subscribers15 August 2026 — 48,941 subscribers9 August 202615 August 2026
7 measurements spanning 6 days, net +765. 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 48,061–49,056 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 12:4648,941+495
14 Aug 2026, 00:1848,446+88
12 Aug 2026, 21:5848,358+57
11 Aug 2026, 21:1248,301+57
10 Aug 2026, 23:3748,244+65
10 Aug 2026, 00:0248,179+3
9 Aug 2026, 20:1748,176first reading

Engagement

16 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
2.98%
avg views ÷ 48,941 subscribers
Avg views / post
1,460
16 posts measured
Reaction rate
0.12%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 8 of 16 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 15 August 2026
Posts held16 (6 August 202615 August 2026)
Views total23,325
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 14:18 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
1,410
Videos
359
Links
342

Lifetime counters from Telegram’s own channel header, read 15 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
1m 10s
Average length
8s

Measured directly from 9 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 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17100.0%

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 8 of the 16 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 17reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 6 August 2026 to 15 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

15 Aug 2026, 10:14 UTC387 viewsread 15 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6333257

15 Aug 2026, 10:14 UTC388 viewsread 15 August 2026
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✏️艺名:#咪咪 📵📵 📱位置:#拱墅区 👠身材:163 53kg 🧸36D 🎀价格:4(4T) 6(4T) 🤣服务:全裸 胸推 臀推 丝足 梦幻口技 毒龙 情趣丝袜 百变调情 仙女漫游4t服务 不舌吻 不口爆 没有性交 📱电报:@mimi4945 📱频道: t.me/tanbaomimi1 🤩好评报告: 工兵报告 工兵报告 🔖标签: #千元内 #4T # #拱墅 #毒龙 工兵福利:半价4T工兵2名,群内竞拍,24h内提交报告;群内输入“报告,模版”获取御女阁出击报告模版!

15 Aug 2026, 10:11 UTC371 viewsread 15 August 2026
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😅😇😢杭州全裸- SPA-6T海选会所模式 🌟五星级环境🥰至尊级体验 🗓营业时间⏰:12:00-03:00 ✅莞式★半套★全裸5T 服务尺度天花板 🔥 至尊享受💯帝王体验 🔥 👍 一对一模式💯莞式服务 👍 💎 项目众多“师”资雄厚 💎 🔣 莞式一对一 6T服务 🔣 😏 高素质 高颜值超年轻 😏 🈚️定金🈚️套路👍诚信靠谱 🏰环境私密舒适给您带来 最畅快的体验(超级隐私㊙️) 主打顶端的服务现场挑选模式 妹妹年纪00~07之间,可亲可摸可舔可柔;还可射在妹子身上 出水不限次数时间60分钟 服务流程: 吸皮过💦;漫游;🐍漫;👃息;毒🐲;💅滑;🐻胸推;🐍舔;👅蛋蛋;盘🐲绕;猴子偷🍑;海底捞🌛;蛟龙出海🐲(部分妹子有绝活,个人绝技,请自行开发)最后 胸推🐻 臀推🍑 阴推🐱 手推👋 足交🦶 五选一出货都想体验就和技师说好,避免时间不足玩的不尽兴服务时间60分钟出货不限次数,无限火力,发射了妹子继续服务(如需出2~3次请和提前妹子说明)

15 Aug 2026, 06:21 UTC672 views0 reactionsread 15 August 2026
Photo

✏️艺名:#软糖 📵📵 📱位置:#上城区 👠身材:160CM 43KG 🧸B 🎀价格:8P 15Pp 🤣服务:舌吻、陪浴、口、事后萧、69、角色扮演、制服、姿势随意解锁、超级听话 📱电报: @ruantangyo 📱频道: t.me/ruantangruantang 🔖标签: #千元内 #杭州 #上城 #舌吻 #69 工兵福利:半价P工兵2名,群内竞拍,24h提交出击报告,群内输入“报告,模版”获取御女阁出击报告模版!

13 Aug 2026, 10:57 UTC≈1,830 views2 reactionsread 15 August 2026
Photo

✏️艺名:#阿橙 📵📵 📱位置:#拱墅区 👠身材:168CM 48KG 🧸C 🎀价格:12P 23Pp 🤣服务:鸳鸯浴、 👅下面、💋kiss(口臭异味不接),69,制服诱惑、花式调情、🐻推臀推、丝袜高跟、互亲咪咪、啪啪啪 📱电报: @acheng_777 📱频道: t.me/acheng_7777 🔖标签: #千元上 #杭州 #拱墅 #69 工兵福利:半价P工兵2名,群内竞拍,24h提交出击报告,群内输入“报告,模版”获取御女阁出击报告模版!

2

13 Aug 2026, 06:06 UTC≈1,570 viewsread 15 August 2026
Photo

✏️艺名:#小沫 📵📵 📱位置:#萧山区 👠身材:160CM 51KG 🧸C 🎀价格:8P 15Pp 🤣服务:无🍑口浅吻,鸳鸯浴,舔蛋蛋,胸推,配合调情,丝袜诱惑,制服诱惑,毒龙。69照片跟本人无差,皮肤白,叫床骚浪,可盐可甜。女友系氛围感,情绪价值满,女友感觉。 📱电报: @xiaoshabo68 📱频道: t.me/xingxing6806 🔖标签: #千元内 #杭州 #萧山 #69 工兵福利:半价P工兵2名,群内竞拍,24h提交出击报告,群内输入“报告,模版”获取御女阁出击报告模版!

13 Aug 2026, 04:14 UTC≈2,070 viewsread 15 August 2026
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🎰 拱墅林初 @linchu727915 疯狂星期四🎟️ 📮 抽奖条件: 🎫 加入-杭州御女阁(免费上榜) 🎫 加入-杭州公开认证榜(御女阁) 🎫 加入-杭州拱墅个人林初(开课 🎁 奖品内容: 100大洋现金红包🧧 × 1 7折P优惠卷🎟️ × 1 💡 活动说明: 本活动由御女阁大美女林初 @linchu727915 独家赞助,中奖者请在48小时内联系老师领取奖励! 📅 开奖日期:(UTC+8) 2026年08月16日 12时00分00秒

13 Aug 2026, 04:07 UTC≈1,450 viewsread 15 August 2026
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✏️艺名:#小叶子 📵📵 📱位置:#拱墅区 👠身材:162 45kg 🧸C 🎀价格:8P 15Pp 🤣服务:水中萧 指划 臭息 漫游 胸推深厚 蛇纹•特色毒🐲 69 360°口激情爱爱 📱电报: @hzxiaoyezi521 📱频道: t.me/hzxljyyds520 🔖标签: #千元内 #杭州 #拱墅 #毒龙 #舌吻 #69 工兵福利:半价P工兵2名,群内竞拍,24h提交出击报告,群内输入“报告,模版”获取御女阁出击报告模版!

12 Aug 2026, 19:56 UTC48 viewsread 12 August 2026
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✏️艺名:#林初 📵📵 📱位置:#拱墅区 👠身材:162CM 60KG 🧸B 🎀价格:6P 12Pp 🤣服务:口69情趣爱爱 拒绝:酒后 磕💊后庭🈚️套 没有舌吻 没有舌吻 没有舌吻 不议价不议价 📱电报: @linchu727915 📱频道: t.me/linchunnb1238 🔖标签: #千元内 #杭州 #拱墅 #69 🤩好评报告: 工兵报告 好评报告 工兵报告 工兵报告 好评报告 工兵报告 工兵报告 工兵福利:半价P工兵1名,群内竞拍,24h提交出击报告,群内输入“报告,模版”获取御女阁出击报告模版!

12 Aug 2026, 09:20 UTC759 views1 reactionsread 12 August 2026
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1

11 Aug 2026, 09:17 UTC≈1,550 views3 reactionsread 12 August 2026
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✏️艺名:#阿依 📵📵 📱位置:#拱墅区 👠身材:165CM 60KG 🧸C 🎀价格:8P 15Pp 🤣服务:鸳鸯浴、无套口、🐍吻(口臭不接)、69、爱爱(姿势配合)Pp可以上门。 📱电报: @ayixihuanni 📱频道: t.me/bcddvnkk 🔖标签: #千元内 #杭州 #拱墅 #舌吻 #69 工兵福利:半价P工兵2名,群内竞拍,24h提交出击报告,群内输入“报告,模版”获取御女阁出击报告模版!

3

9 Aug 2026, 05:00 UTC≈2,290 views5 reactionsread 12 August 2026
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✏️艺名:#琳琳 📵📵 📱位置:#上城区 👠身材:170CM 47KG 🧸A+ 🎀价格:7P 13Pp 🤣服务:无套口 鸳鸯浴 可🐍吻可69(口臭🈲) 丝袜 制度 情趣 🈶纹身介意勿扰 📱电报: @inlin88866 📱频道: t.me/lunlinqyd6688 🔖标签: #千元内 #杭州 #上城 #舌吻 #69 👑历史报告: 工兵报告 好评报告 工兵报告 工兵福利:半价P工兵1名,群内竞拍,24h提交出击报告,群内输入“报告,模版”获取御女阁出击报告模版!

5

Showing the 12 most recent of 16 posts we hold for @hangzhou_888. 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 — 728,237 of 1,480,688entries 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.

Mentions

Named by 2 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.

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

“杭州公开认证榜(御女阁)” (@hangzhou_888), 48,941 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/hangzhou_888.

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.