#拱墅 #淇淇 预约电报 @y520511 个人频道 @huanhuan520530 双向联系 : @ccuoupp098bot

Channel
🏆 𝘽𝙍𝘼𝘽𝙐𝙎®杭州高端资源精选
@BRABUSPremiumHZ
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
32,263subscribers
-294 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001584702099 |
|---|---|
| Type | Channel |
| Username | @BRABUSPremiumHZ |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 2 October 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 2 October 2026 |
| On Telegram | t.me/BRABUSPremiumHZ |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Oct 2026, 10:02 | 32,263 | -173 |
| 18 Sept 2026, 12:58 | 32,436 | -18 |
| 16 Sept 2026, 04:59 | 32,454 | -8 |
| 14 Sept 2026, 07:59 | 32,462 | -15 |
| 12 Sept 2026, 15:55 | 32,477 | -23 |
| 10 Sept 2026, 14:57 | 32,500 | +12 |
| 7 Sept 2026, 09:22 | 32,488 | -19 |
| 4 Sept 2026, 13:37 | 32,507 | -16 |
| 2 Sept 2026, 21:22 | 32,523 | +9 |
| 1 Sept 2026, 16:24 | 32,514 | +6 |
| 31 Aug 2026, 14:16 | 32,508 | -2 |
| 30 Aug 2026, 14:55 | 32,510 | -6 |
| 29 Aug 2026, 16:01 | 32,516 | -5 |
| 28 Aug 2026, 19:28 | 32,521 | -6 |
| 27 Aug 2026, 21:38 | 32,527 | +7 |
| 26 Aug 2026, 22:48 | 32,520 | -5 |
| 25 Aug 2026, 03:28 | 32,525 | +4 |
| 23 Aug 2026, 22:45 | 32,521 | -22 |
| 22 Aug 2026, 06:58 | 32,543 | -4 |
| 20 Aug 2026, 19:13 | 32,547 | first reading |
Engagement
20 posts held, back to 31 July 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 76 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.78%
- avg views ÷ 32,263 subscribers
- Avg views / post
- 3,160
- 8 posts measured
- Reaction rate
- 0.08%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 20 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 6 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 September 2026 |
|---|---|
| Posts held | 20 (31 July 2026 – 30 September 2026) |
| Views total | 25,252 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 08:43 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
- 1m 45s
- Average length
- 7s
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
50 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 92.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 46 | 92.0% | |
| 🤩 | 3 | 6.00% | |
| 🔥 | 1 | 2.00% |
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 17 of the 20 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 50 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 31 July 2026 to 30 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
拱墅区 熙月 真人真照 假照赔米 个人自聊 高端小区课室 真实身高170御姐 24岁 C杯 蜜桃臀 热情主动 皮肤白 三点粉嫩 百分百纯天然0整 完美腰臀比 可纯可性感 性格乖巧 不催不事配合度高 女友感十足 课程: 陪浴 水中萧 69 过水 指滑 三角区诱惑漫游 超多情趣丝袜丝袜高跟鞋可选哦 1000/p 50min定金100 1800/pp 80min定金100 拒绝❌无套❌偷拍❌吃药❌涂药❌吸毒❌喝酒 私信 @xiyueggg 频道 @xixihahahz
❤1
#滨江 #CC 年龄:22 身高:167 体重:50kg 🐻:B 💴课费: 1000/p 2000/pp 预约 @cc3316 频道 @cc3315ba
🫣杭州高端2T·3T·4T·5T推荐 🤧会所: 高端全裸SPA 😧地区: #西湖 #余杭 #拱墅 #滨江 #萧山 #下沙 #临平 #富阳 #上城 #临安 😑水费: 看服务介绍👇 😵客服: @xwxwaan 😵频道: https://t.me/wzjdmkhnsns 😵群聊: https://t.me/xwceaa 😵Q Q: 3796058657 😵微信: WWG0694(微信🤪) 😵电话: 13093757873😵 😵营业时间:13:00-2:00 😮😮😮😮😮😮😮😮😮 特色服务: 高端高颜值海选半裸3T😄公寓全裸5T油压 🤑 按摩/5推/海选/推油/5T/油压/指压 5⃣年老团队 ⭐五星环境 👍私密安全 🛡安全保障 💸明码标价 ❌无办卡 🚫无套路 🥰方便停车 出入安心 👠服务:🐻胸推 👋手推 👠足推 🐬臀推 💕阴推 🍒果冻 🐉毒龙 💦过水 🦞海鲜 😋舌吻 漫游 👄舌滑 🐻胸滑 👋指滑 丝足 吸皮过…
❤3
西湖幼师小小兼职 💗户籍:重庆 💗身高:167 💗体重:94 💗胸围:B 💗年龄:97年 特色:Kiss(可以浅舌吻)。臀推。环球漫游。浴室调情。🈚️套口。制服诱惑。角色扮演。推拿按摩。 🈲️乱扣🈲️吃药喝酒🈲️变态! 课时费:1300P。2200PP 佛系开课,有时候要去辅导班带学生,兼职赚点零花钱。大家多多支持 联系: @xiaopayou1 频道: @kuihuateacher 双向机器人: @SexyStubot
❤7
#拱墅 #初栀 #上海空降 本人纯属自聊,温柔体贴小姐姐一枚,耐心对待每一位男朋友💘💖💘💖 💗真人真照,本人比照片好看,假一陪十 💗三点粉嫩,风骚,主动,可纯可御姐,可性感 💗 私处紧致水多💦,前凸后翘,s身材,活泼可爱,温柔体贴,性格好,健谈,粘人,不冷场 💗172.23.102斤,c+ 💗课程:帮 洗💦水中萧 ,69,情趣擦身,💗暴力丝袜,🦻🏻指滑舒缓,诱惑按摩放松,胸推,💅🏻,制服诱惑,👙情趣内衣,简单kiss💋,趴墙后入,可解锁更多姿势,事后回魂萧。 (👑👑重点:深度女友般调情👑👑 🎁重点:现在超多制服可挑选,丝袜齐全,款式都有,我也是主打身材系列的,高挑御姐,喜欢小巧玲珑的勿扰,可能不太合适哦 🎉🎉 请小哥哥们多多指教啦,温柔对待我哦) 💶 1000P ⏰50min 💶 1800PP⏰80min 🙅🏻♀️ 拒绝无桃,发烧,偷拍,吃药,涂药,xi毒,喝酒,桩基勿扰 ⭕️ 定金预约 (精英群免定…
❤3🔥1🤩1
不吃香菜 99年,身高163cm,体重94斤,胸b+, 浙江人,软妹子一枚,女友体验,外貌娇小可爱型的,性格比较话痨逗比,杭州短开几天,有兴趣的兄弟早点出击! 服务:69,漫游,陪浴,kiss,制服,调情,啪啪啪。 地址:滨江区 茶水费:1500p 2500pp 联系: @Nxiangcai 频道: @Nxiangcai2 双向: @xcnoeatbot
00年机车少女,刚下水为我的杜卡迪V4赚点保养费。平时在维修店做财务,开课时间不固定,希望大家多多投币🙏 🍓四川姑娘 爱旅行 有学识有教养 🍓✦𝐇𝐞𝐢𝐠𝐡𝐭身高/168 🍓✦𝐖𝐞𝐢𝐠𝐡𝐭体重/97 🍓✦𝐁𝐮𝐬𝐭胸围/C 🌸情侣内容:舌吻,口交,丝袜诱惑,漫游,调情,按摩,陪浴,啪啪啪 💰保养费:1400P 2600PP 5200✌️ 预约ID:@pixiaoyou 频道ID:@Ghotsgg 无法私信请点击:@Panigalev4bot
❤1
#拱墅 #淇淇 预约电报 @y520511 个人频道 @huanhuan520530 双向联系 : @ccuoupp098bot
❤1
拱墅区 熙月 真人真照 假照赔米 个人自聊 高端小区课室 真实身高170御姐 24岁 C杯 蜜桃臀 热情主动 皮肤白 三点粉嫩 百分百纯天然0整 完美腰臀比 可纯可性感 性格乖巧 不催不事配合度高 女友感十足 课程: 陪浴 水中萧 69 过水 指滑 三角区诱惑漫游 超多情趣丝袜丝袜高跟鞋可选哦 1000/p 50min定金100 1800/pp 80min定金100 拒绝❌无套❌偷拍❌吃药❌涂药❌吸毒❌喝酒 私信 @xiyueggg 频道 @xixihahahz
❤2
#小菇凉 #滨江区 #嫩妹 #舌吻 #六九 #丝袜 年龄:20 身高:167 体重:46kg 🐻:C+ 长相干净,气质柔和,明媚舒服 元气少女,皮肤光滑,暗藏反差 课费: 1500/p 2500/pp 私信: @xglsf0 频道: @anbsywnzds0987 活动价调整为 1100p 40 分钟 2000pp 90 分钟 双飞也相应的减 400
❤5
✍️拱墅 🎯丁丽莎🎯 线下课表简介📱 😧 😮😮🔘丁丽莎💓 😮😮🔘1️⃣6️⃣0️⃣ ✅✅🔘8️⃣0️⃣ ✅✅🔘😃😃 😮😮🔘😃😃🤔 😌真人对版 乖巧甜美😌 💋S型身材 女友feel 🥹 💃💦多紧致 一线天 白虎🍒 🫠360度全身镜超绝体验感💗 😧课费: 1️⃣3️⃣0️⃣0️⃣💰 🔠 50min 2️⃣5️⃣0️⃣0️⃣💰🔡🔡90min 4️⃣5️⃣0️⃣0️⃣💰180min限3次 ⏩哥哥们尽量现金💸支付⏩ ⏩预约需要定金100防鸽 不满意🉑退⏩ 🔣 自带高档豪华小区 出入方便🅿️🔣 🔣一次性浴巾 矿泉水 条装漱口水🔣 😵💫课表:🍒 🩲鸳鸯浴 水中潇 深喉 🤨丝袜情趣 6️⃣9️⃣ 🐍 💖激情啪啪…
❤5🤩2
Showing the 12 most recent of 20 posts we hold for @BRABUSPremiumHZ. 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
Names
Channels on the register whose handles appear in this channel's posts.
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@goupoyouxuan · 22,6593 posts合肥修车大队中转
@hf_xcdd · 6,5373 posts湖州🦖电报大本营
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@HuaiAnHub · 12,7393 posts山东聊城学生会
@liaochengxsh · 9,3413 posts临沂琅琊古城
@LinYinHub · 5,7153 posts扬州泰州镇江自驾游(中转)
@olddriveryz1 · 24,0783 posts南阳修车总群(唯一)
@QTUpX · 12,0123 posts石家庄美食品鉴中转站
@SJZFoodTasting · 5,1463 posts郑州⛄学生会
@suzhouO_o · 44,8093 posts枣庄泰安济宁|辣子鸡
@taianxsh · 12,4683 posts西安都市日报中转
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@tianjingirl · 41,4593 posts衡阳加油站
@Tiantiandege · 22,2733 posts武汉老师打卡群
@whlsdaka · 33,1073 posts安徽(皖南)资源中转群(芜湖及周边)
@wuhuOlddriver · 12,5313 posts无锡老司机【修车指南】
@WUXILIANGXIQU · 5,7893 posts柳州修车大队(中转群)
@XCDDLZ · 12,6243 posts常州🌳新龙生态林【2.0】
@xlstl · 18,5133 posts徐州苏宁广场
@xzsngc · 19,7693 posts
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 2 October 2026 — this entry's latest reading, not the date you are reading this.
“🏆 𝘽𝙍𝘼𝘽𝙐𝙎®杭州高端资源精选” (@BRABUSPremiumHZ), 32,263 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/BRABUSPremiumHZ.
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.