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Channel
杭州无内鬼大榜单 【正式版】 每日好妹上新🆕
@hangzhouwng
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
29,312subscribers
+310 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002742750836 |
|---|---|
| Type | Channel |
| Username | @hangzhouwng |
| Description | 杭州最真实最活跃的出击榜单 口碑第一老字号无内鬼一直被模仿从未被超越,重新启航中感谢新老朋友的支持 所有老师 都是经过 @Twittermage 认证上榜的 任何问题请私信 请移步导航群开启高精对路唯一管理 @Twittermage 狼友老师聊天交流福利群 @wuneiguiultral 资源搜索群 https://t.me/wuneiguiyydds 无内鬼永久域名 @hangzhouwuneigui 全拼 靠谱包养资源频道: @tangrenby |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/hangzhouwng |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 16:08 | 29,312 | +4 |
| 16 Aug 2026, 07:15 | 29,308 | +24 |
| 14 Aug 2026, 18:56 | 29,284 | +39 |
| 13 Aug 2026, 07:07 | 29,245 | +40 |
| 12 Aug 2026, 04:02 | 29,205 | +22 |
| 11 Aug 2026, 03:54 | 29,183 | +28 |
| 10 Aug 2026, 07:12 | 29,155 | -1 |
| 9 Aug 2026, 07:12 | 29,156 | +154 |
| 8 Aug 2026, 08:01 | 29,002 | first reading |
Engagement
48 posts held, back to 7 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 25 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.75%
- avg views ÷ 29,312 subscribers
- Avg views / post
- 513
- 48 posts measured
- Reaction rate
- 0.263%
- reactions ÷ views · ER floor
- Posts in window
- 48
- of 48 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 18 of 48 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 August 2026 |
|---|---|
| Posts held | 48 (7 August 2026 – 18 August 2026) |
| Views total | 24,613 |
| Reactions total | 31 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 01:27 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
- ≈2,430
- Videos
- ≈697
- Links
- ≈551
Lifetime counters from Telegram’s own channel header, read 18 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
- 4m 33s
- Average length
- 8s
Measured directly from 34 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
31 reactions across 18 posts, in 4 distinct kinds. The most used accounts for 71.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 71.0% | |
| 👍 | 6 | 19.4% | |
| 🥰 | 2 | 6.45% | |
| ✍ | 1 | 3.23% |
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 18 of the 48 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 31reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 7 August 2026 to 18 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
花名:#熟妇梅子 位置:#临平区 价格:#400h #800不限次 95口爆 特色:#95半套 #口爆 #半套 #服务系 #无限火力 #毒龙 联系: @hzlp95 详细课表介绍请点击🔎 ⬇️ 双向: @lpmzjqrbot 频道: @meizigeren95
花名:#小老虎 https://t.me/xiaolaohushiwo/245 联系:@xiaolaihula 位置:#滨江区 价格:#1300p 特色:#御姐 #高颜值 #大胸 #69互舔 #美少女精选
花名: #刘念 联系: @xyz123aa 位置: #上城区 价格: #1200P 特色: #69互舔 #兼职 #御姐 #气质ol #可上门 详细课表资料点击☝️ https://t.me/mmnnxyz112212/104 气质OL御姐 长相也很商务,马马当年上班时最喜欢这种反差同事了,已多次上榜验证过的妹子,服务虽然不多,人还是很不错的,大哥们多来调教👅
花名:#晚晴 ☀️ 位置:#临平区 价格:#600p #10pp #18包时3h不限次 #20包夜不限次 特色:#无限火力 #服务系 #舌吻 #毒龙 #性价比 #小个子 联系: @chujiwanqing 详细课表介绍请点击🔎 ⬇️ 双向 @wanqingya_bot 联系个人 @chujiwanqing 频道 @chujiwanqinghougong 新频道 @wanqingfuli
📊 25条车评,综合评分9.77 好评 100% |人照 9.52 |服务 9.96 中评 0% |颜值 9.52 |态度 9.91 差评 0% |身材 9.8 |环境 9.89 #拱墅区 https://t.me/Ge_521/66 萨日格格 🦢🪼💋😈 花名:#萨日格格 联系:@Luna521_520 位置:#拱墅区 价格:#800P 特色: #大胸 #服务系 #舌吻 #69互舔 #必刷榜 #御姐 个人超级推荐的御姐大胸小夹子 床上风骚欲女 床下知心姐姐 知性巨乳酥胸好姐姐,家人们对眼可以直接闭眼冲~~马马推荐不失望
抽奖杭州遇见 @BHB9598 优惠福利抽奖(编号L178637025272)已成功开奖: 创建人:呆呆[8028513652] 已参与人数:348 中奖名单如下: 散*[7329050**](奖品为杭州遇见 @BHB9598 100优惠券) 进*[66438421**](奖品为杭州遇见 @BHB9598 18.8口令红包) 彩*[81652923**](奖品为杭州遇见 @BHB9598 50优惠券) 香蕉牛*[84226232**](奖品为杭州遇见 @BHB9598 50优惠券) 阿祖 收手*[87847500**](奖品为杭州遇见 @BHB9598 50优惠券)
花名:#乖乖 🦩 位置:#上城区 价格:#1200p #20pp 特色:#大长腿 #嫩妹 #兼职 联系:@song798 详细课表介绍请点击🔎 ⬇️ https://t.me/WeLn6c6RT7djYzZl 新人兼职!高颜值嫩妹,文艺范气质女友感觉,真实兼职好妹妹哦,虽然没啥服务,等你来调教呢
❤2✍1🥰1
花名:#豆豆 💗玉足嫩妹 位置:#上城区 价格:#800pp 60min #16 2h不限次 #24 3h不限次 特色:#嫩妹 #性价比 #包时不限次 #无限火力 #舌吻 #69互舔 #女s #女王 #服务系 #毒龙 #足交 #兼职 联系: @dou01 详细课表介绍请点击🔎 ⬇️ https://t.me/dou069/7
https://t.me/x_mgr/722 小猫 😎😘😐🫤🫤😑 花名:#小猫 联系:@XMgeren 位置:#拱墅区 价格:#1288P 特色:#可上门 #嫩妹 #包夜不限次 #无限火力
花名:#妍妮 位置:#上城区 价格:#800p 特色:#特服 #舌吻 #69互舔 #服务系 #抓龙筋 #潮喷 #sm #轻微sm #御姐 #170CM ➕ #毒龙 #三通 联系:@toupai880 详细课表介绍请点击🔎 ⬇️ https://t.me/qndmhhy520 群https://t.me/Awq023 频道 @weary22_bot 机器人 飞机Q Q723400497 验证视频太色了你们自己进频道看吧哈哈
花名:#安妮 位置:#滨江区 价格:#1200p 特色:#御姐 #大长腿 #服务系 #69互舔 #毒龙 #足交 联系: @annibaoer 详细课表介绍请点击🔎 ⬇️ https://t.me/annidexiaorichang/23
Showing the 12 most recent of 48 posts we hold for @hangzhouwng. 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 — 266,382 of 1,481,306entries 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 7 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.
Names
Channels on the register whose handles appear in this channel's posts.
@wuneiguiultral · 20,5924 posts杭州无内鬼4.0
@wuneiguiyydds · 31,6064 posts杭州绍兴SPA会所小六子公馆榜
@aahqspa92 · 32,8832 posts杭州绍兴会所SPA探花榜
@hzsxthl · 39,4412 posts杭州绍兴会所SPA探花群
@hzthlmelo · 34,0342 posts杭州全自动服务系siqi小屋
@siqihangzhou888pd · 1,6882 posts杭州多多【丝足SPA】92总频道
@Amzst520 · 2,0181 post签约模特175大长腿安妮👒
@annidexiaorichang · 1,6191 post妍妮全能型频道
@Awq023 · 1,2231 post妃儿的御用园
@FRDYYY521 · 2,0911 post杭州无内鬼精选榜单🆕
@hzwmwm · 17,6331 post小仙女 yy (纯欲风)
@linmiaomaoshixiannv · 2,6091 post娜娜的小屋
@lkk0092 · 6,0161 post杭州刘念
@mmnnxyz112212 · 3,2721 post杭州狼友半套spa出击认证榜
@muGac3wXWHRjOWE1 · 27,8321 post蟠桃园
@pantaoyuan963 · 821 post杭州(杭州会所/按摩/门店)阿超
@PD1991003 · 1,9941 post杭州乖乖
@WeLn6c6RT7djYzZl · 61 post小猫私人空间
@x_mgr · 3,1421 post小如小窝
@xiaoqix8 · 1,8601 post萧山贝儿 (开课🀄️)
@xiaoshanbei · 17,7831 post杭州琳子正宗抓龙筋
@xl3979 · 1711 post有容乃大 joy 贵宾厅
@yanyashiwoya · 2,4541 post克拉拉杭州95个人小课堂
@yiyide9598 · 1,0321 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@hangzhouwng named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 9 August 2026 – 9 August 2026
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“杭州无内鬼大榜单 【正式版】 每日好妹上新🆕” (@hangzhouwng), 29,312 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/hangzhouwng.
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.