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Channel

深圳全区

@hdkdbro

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

958subscribers

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004335806453
TypeChannel
Username@hdkdbro
CreatedBetween 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 October 2026
Last confirmed live2 October 2026
Measurements held1
On Telegramt.me/hdkdbro

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Oct 2026, 19:22958first reading

Engagement

14 posts held, back to 10 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.9%
avg views ÷ 958 subscribers
Avg views / post
324
13 posts measured
Reaction rate
0.226%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 2 of 13 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 1 October 2026
Posts held14 (10 September 2026 – 1 October 2026)
Views total4,217
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 19:22 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
21
Videos
9
Links
1

Lifetime counters from Telegram’s own channel header, read 2 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 17s
Average length
10s

Measured directly from 8 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 2 of the 14 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 10 September 2026 to 1 October 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

1 Oct 2026, 14:47 UTC244 viewsread 2 October 2026
Photo

🔥 国庆到了,活动安排起来! 深圳各区域内容持续更新中。 不管你在哪个区,都可以先看看频道有没有适合自己的信息。 📍 深圳 福田|南山|龙华|宝安|罗湖|龙岗 国庆人多,提前安排更方便。 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603 只做深圳地区优质资源,承诺永远不做套路店,把做好的服务跟质量安排到位,让客户体验一站式服务,不踩坑,不踩雷。

29 Sept 2026, 12:16 UTC9 viewsread 2 October 2026
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#深圳全区95高端会所 几十位佳丽在线恭候♥️ 🎉🎉花式毒龙🎉🎉吃蛋舔蛋🎉🎉舌线漫游🎉🎉🎉🎉蛇绕全身🎉🎉耳语调请🎉🎉背部🎉🎉三角区按事🎉🎉波推臀推🎉🎉~真舌过水🎉🎉高山流水🎉🎉口吸龙蛋🎉深喉无套口爆,动作任来~ 📱A套餐:预约价格568(口一手一) 📱B套餐:预约价格788(口爆两次) 📱C套餐:预约价格998(无限次) 📱D套餐:预约价格998(双飞无限次) 各区全套98工作室,洋酒国酒,预约价格800-900 覆盖区域: #南山, #罗湖, #宝安, #龙岗, #福田, #龙华 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603

28 Sept 2026, 10:31 UTC234 viewsread 2 October 2026
Video

深圳会所全区 94-95-96 🔥94服务流程:🐻推,👋推,🦶推,果冻漫游,吸皮过水,👅漫,鼻吸,海底捞月,等等项目流程,小妹🉑亲,🉑揉,🉑摸下路,👋🦶🐻出,价格:488 🔥95水会、会所:无套👄爆,花式毒龙,吃舔🥚🥚,玉指柔情,丝袜诱惑,无限挑逗,👅漫全身,🐻推全身,深🐒👄爆,等等项目内容,价格588 🔥96会所、公寓:梦幻联动,艳舞挑逗,吸🥚👅🥚,👄罐拔痧,美式、日式、英式毒🐉,倒挂金钩,🧊🔥吐珠,👅扫禁区,爱的魔力转圈圈,6️⃣9️⃣吃鲍,操盘花式👄爆出💦,价格788 选择佳丽:到现场选,不满意可以换,换到满意为止 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603

27 Sept 2026, 14:53 UTC401 views0 reactionsread 2 October 2026
Video

深圳全区高端❾❹-❾❺会所 🤪😜😜😜😜😜😜 😘精品会所火热预约中😘 🫶技师多🫶颜值高🫶零零后🫶 网红兼职🫰超级嫩模🫰气质御姐 免费泊车🧼免费留宿🧼免费茶水 海选模式🫵敬请挑选🫵满意为止 ⭐95口爆内容展示 ⭐ 口爆😀深喉😀⑥⑨😀毒龙 全身按摩🐴倒挂进沟🐴舌尖过水 真空调情🐴⑥⑨互舔🐴冰火吐珠 丝袜诱惑🐴拔罐刮痧🐴猴子偷桃 抓龙筋🥵舔蛋蛋🥵舔根根 更多服务内容请看项目服务表↗️ 🤯无套路,无隐形消费 🤯 😄😄😄😄😝🤩😜🤪 预约方式:😳 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603 #深圳会所 #罗湖会所 #罗湖95 #罗湖口爆 #深圳口爆

26 Sept 2026, 11:08 UTC408 viewsread 2 October 2026
Video

即将年至也该给自己发一个“带香味”的年终奖。 来看妹妹们的“鲍鱼、奶子、丝袜”。 同样是花钱,家里买的是头疼,这里买的是心疼——心疼哥哥这一年的不容易。 毕竟,有些“高难度动作”,只有在专业场所才能解锁。😍😍😎😛😛😛 预约方式:😳 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603

25 Sept 2026, 14:52 UTC404 viewsread 2 October 2026
Photo

♥️深圳SPA♥️ 可安排范围:覆盖深圳全区 深圳94-95SPA 主打高颜值,服务一流00后专场 营业时间:24小时 全裸-半裸 会所-公寓-水会-水疗 主打高颜值,服务一流全场蛋蛋后服务时间70分钟(时间内无限出水) 🫕性感风骚🫕颜值高🫕 🫕私密环境🫕豪华卫浴🫕 服务如下💩💩💩 ♥鼻息💗指划💗胸划💗 ♥口爆💗手推💗胸推💗 ♥臀推💗漫游💗足交💗 ♥毒龙💗蚂蚁上树💗 ♥海底捞月💗高山流水💗 ♥可摸💗可揉💗可亲💗 ♥无任何隐形消费,无套路 ♥现场选妃,满意为止! ♥免费停车, 免费过夜 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603

24 Sept 2026, 11:30 UTC414 viewsread 2 October 2026
Video

致力分享深圳全区臻选94-95-96会所资源 嘟嘟推介指数:⭐⭐⭐⭐⭐ 环境评分指数:⭐⭐⭐⭐ 服务评分指数:⭐⭐⭐⭐⭐ 客户真实评价:⭐⭐⭐⭐⭐ 1️⃣爱意随中起,终止意难平,纵有相思意,加钟抚忧伤 2️⃣青春没有售价,推油就在当下。若问爱情规划,洗脚按摩SPA 3️⃣因为一首蓝莲花,我把会所店当成家 4️⃣余生很贵,经不起浪费,唯有洗脚按摩才是对自己最好的安慰 5️⃣直达拉萨不是人生的归途,按摩SPA才是你一生的救赎 6️⃣要想人前显贵,必须精油开背 7️⃣好赌的爸、生病的妈,年幼的弟弟和懂事的她,我不帮她,谁帮她 8️⃣烟能抽就行。水能喝就行,该省省,该花花技师必须五九八 9️⃣小时候总觉得仙女在人间,长大后才发现原来仙女在包间 🚗🚕🚙👍👍👍👍👍 全区高端94-95-96会所 😀挑到满意 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603 各种类…

22 Sept 2026, 15:08 UTC412 viewsread 2 October 2026
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窈窕身姿、长腿美女现场海选,真人站班任你挑选。 真实照片展示,绝无虚假宣传。 独立淋浴干净卫生,每位客户专用毛巾浴巾一客一换。 隔音效果佳,环境安静无打扰,放松体验尽情享受。 多年稳定老场,老客户带新人,保证零翻车零查岗。 先看后决定,满意才上钟,茶水水果先行,细致入微。 明码标价,全包服务,绝无隐形消费,坚持诚信经营。 #东莞会所 #深圳会所 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603

21 Sept 2026, 14:06 UTC412 viewsread 2 October 2026
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00后专场 服务就位 🦢会所介绍:多年老店,非常有实力,价格不贵服务又好,关系做的很好,大胆玩! 这里的妹子各个都很骚,各种古风情趣,各种装扮,可以设计各种情节,特别有情趣。环境装修的也有情调,水疗水乳交融,小电影里的情节,非常能调情,水床高级理疗🔥🔥 #东莞深圳全区高质量会所资源 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603 没报预约号一律按正规按摩处理 挑选佳丽 到店挑选 挑到满意为止

19 Sept 2026, 11:59 UTC412 viewsread 2 October 2026
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🍎🍎🍎🍎🍎😀😀😀😀 #深圳会所 #深圳南山 #宝安会所 #福田 #罗湖 #龙岗 😝🤩😜🤪📱📱📱📱 深圳全区约起 覆盖全深圳区域 精品94 95会所【口爆胸推专区】 🥳😜😜😝😄😄😄😄 📱📱95. 服务内容流程: ✈❤️⚽️⚽️ 花式口爆高山⛰流水💦、波推全身🥠、69品鲍鱼🦪、冰火两重天🔥、舌尖漫游👅、猴子偷桃🪺、海底捞月🌙、真🐍毒🐉、漫游水中🈯️划(全裸)🐻推过💦、冰火回🐉啸、环游👄、♋️式、嘴唇拔罐刮痧😛👄躺着👄站着👄深喉👄无套👄💥、动作任来😍无套畅玩👄. 可魔棒👄 📱📱📱📱📱📱📱📱📱 📱📱94服务内容流程: 😄😄😄😄🥳😜😜😝 (女友感体验)🐻🉑🦶,十🈯️弹琴,比翼双飞,柔情似水,高山流水,丝足诱惑🦶,贴身抚摸式鼻吸,👅花式真毒龙,背部过水刮,🐻波推全身调情,👅舌尖环游全身,舔蛋吸蛋👄,69式舔鲍鱼,粉鲍🉑摸,🐻推臀推,强奸式胸推 ,舌尖舔三角区,猴子偷桃,上下可摸可亲,与身体碰撞,最后出水2次 (可🐻胸出,可手出). 📴🉐…

17 Sept 2026, 14:47 UTC410 viewsread 2 October 2026
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⚡️⚡️各区精品9️⃣5️⃣-9️⃣6️⃣至尊口爆会所 😀 🚗🚕🚙👍👍👍👍👍👍 #深圳 #罗湖 #南山 #宝安 #福田 #龙岗 #龙华 #光明 #坪山 9️⃣5️⃣-9️⃣6️⃣至尊服务内容流程: 👍高山流水💦 👍波推全身🥠 👍69品鲍鱼🦪 👍冰火两重天🔥 👍舌尖漫游👅 👍猴子偷桃🪺 👍海底捞月🌙 👍真🐍毒🐉 👍漫游水中🈯️划 😀全裸 😀 🐻推过💦😀冰火回🐉啸 😀环游👄♋️式😀嘴唇拔罐刮痧 ❣️躺着❣️站着❣️深喉❣️无套口爆💥动作任来😀无套畅玩😍 9️⃣4️⃣天花板五星级水会,顶级高颜值😍 😑服务内容流程: 1️⃣全身按摩2️⃣刮痧拔罐3️⃣花式调情 4️⃣黑丝制服5️⃣毒龙69 6️⃣吸根舔蛋舔棍 7️⃣全裸胸推8️⃣蚂蚁上树9️⃣激情四射 ❤️猴子偷桃❤️ 海底捞月❤️一飞冲天 🚓🚑🚒🚐🛻😒 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时

13 Sept 2026, 16:01 UTC415 viewsread 2 October 2026
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#深圳会所 #深圳丝足 #深圳94 🖤 深圳高端会所每日出勤人数45+ 新开高端场 00后10位在店 足控 口爆 兄弟福利来了! 会所丝足做得特别到位,新妹子腿长脚嫩,丝袜控必备。 亮点: • 丝足全套(穿脱丝、足交、足踩、足吻) • 爆乳胸推(真奶大推、夹击、乳炮) 高档环境,安全私密,妹子配合度高。 想玩得舒服又尽兴的,直接私我。 私信我 直接发你最新小姐照片和价位。🚗🚕🚙所有分店“加钟双飞”提前报备给预约部长都可享受优惠,否则原价不动。💥 门店前台经理 : @dk369888 双向机器人 : @vip98909bot 24小时在线QQ: 3767845603 #深圳会所 #深圳 #深圳会所00后 #深圳水会 没有预约按正常按摩接待 📱📱📱📱

Showing the 12 most recent of 14 posts we hold for @hdkdbro. 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 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 2 October 2026 — this entry's latest reading, not the date you are reading this.

“深圳全区” (@hdkdbro), 958 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/hdkdbro.

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.