💓高質 紅牌 推介💗 類型 :# 海韻 會所 地區: 尖沙咀 紅牌 :# 小薇(高質氣質型) 純天然美少女💯‼️ 真人真相,青春靚麗,後生 ,S型身材,瘦底 白滑,大長腿,全身充滿青春氣息! 正宗莞服務導師,高質性價比高✅,而按摩好好,不偷鍾,不偷懶!真💯好好! 身材🆔: 164cm 46kg,36B+ 天然波 💯 擅長技術:按摩好好 ‼️ 正宗 所有莞式增值服務‼️ 今日1O:00am 左右到位,歡迎早 約 相關資訊詳情問客服聯絡‼️‼️ 客服預約: @HKtst999 新睇圖號: @HKtst1000 電話:69333482

Channel
海韻 spa 新頻道 備用號 @HKtst1001
@Hktst1001
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
676subscribers
+13 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002243532210 |
|---|---|
| Type | Channel |
| Username | @Hktst1001 |
| Created | Between 1 May 2024 and 31 October 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/Hktst1001 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 07:44 | 676 | -3 |
| 22 Aug 2026, 14:21 | 679 | +9 |
| 14 Aug 2026, 18:37 | 670 | +7 |
| 8 Aug 2026, 02:35 | 663 | no change |
| 7 Aug 2026, 14:41 | 663 | first reading |
Engagement
8 posts held, back to 28 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 26.6%
- avg views ÷ 676 subscribers
- Avg views / post
- 180
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- of 8 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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 8 (28 July 2026 – 5 August 2026) |
| Views total | 1,079 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 02:35 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
- 31s
- Average length
- 8s
Measured directly from 4 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.
Recent posts
💗 新人 精英 推介💗 運動場:#海韵(五星級) 類型 : #會所 地區: 尖沙咀 新人 :#Sandy 後生,中俄混血兒高顔值,後生,真人真相,OO後,顔值爆燈,新鮮可愛,瘦底,巨白滑 ,身材 比例 好好,天然大波 , 正宗 莞服務 今日12:00am左右到 位,歡迎早約哦❤️❤️❤️ 身材🆔: 163cm 23歲,47kg, 36C 天然波 💯 擅長技術:‼️ 正莞 所有莞式服培訓‼️ 相關資訊詳情問客服聯絡‼️‼️ 客服預約: @HKtst999 新睇圖號:@HKtst1000 電話/WhatsApp:69333482
Video, posted without a caption
Photo, posted without a caption
今日 高手 紅牌 姐妹 套餐 ,有 頂級互動, 提供 超級 配合 P4玩法💯💯掂 詳情請 咨詢客服: @HKtst999
💗極品 後生 推介💗 運動場:#海韵 (五星級) 類型 : #會所 地區: 尖沙咀 新人 : #夏天第一次駐場,某水療紅牌, 極後生靚女 ,甜蜜乖巧,性格開朗,高白 瘦,靚女, 純情 似足 台灣妹,好特別 溫柔, 人見人愛,車見車載, 識按摩,全程 婉服態度好好,歡迎 試年輕 靚妹, 正野 ❤️❤️❤️ 身材🆔: 163cm 22歲,46kg,36c+ 天然波 💯 今日10:30am 左右到位,歡迎約 頭鍾 擅長技術:‼️ 正常 所有莞試服務 十 特服‼️ 相關資訊詳情問客服聯絡‼️‼️ 客服預約: @HKtst999 新睇圖號: @HKtst1000
💗極品 後生 推介💗 運動場:#海韵 (五星級) 類型 : #會所 地區: 尖沙咀 新人 : #拉菲 極後生靚女 ,超級白淨 純情 妹妹仔,似足 日本妹,好特別 乖巧溫柔, 人見人愛,車見車載, 識按摩,全程 婉服態度好好,歡迎 試年輕 靚妹, 正野 ❤️❤️❤️ 身材🆔: 16Ocm 22歲,46kg,36c+ 天然波 💯 今晚7:30左右 到位,歡迎約 頭鍾 擅長技術:‼️ 正常 所有服務‼️ 相關資訊詳情問客服聯絡‼️‼️ 客服預約: @HKtst999 新睇圖號: @HKtst1000
💗新人 推介💗 會所:#海韵(五星級) 類型 : #會所 地區: 尖沙咀 新人 : #Ella (瑜伽教練),第一次駐場, OO後,真人照 ,相頭靚 ,氣質非常好,全天然走肥 正宗瑜伽教練 身材超級好,S型,大圈級別,瘦 底 白皙 大長腿 大🏐D,❤️高質 性價比極高 ✅✅✅ 身材🆔: 165cm 24歲,48kg, 36D🏐 擅長技術:‼️ 正宗 服務 美色 十特 服 大小車牌任考 ‼️ 相關資訊詳情問客服聯絡‼️‼️ 客服預約: @HKtst999 新睇圖號: @HKtst1000 睇圖備用號: @HKtst1001 今日 有早餐位,歡迎早約
Showing the 8 most recent of 8 posts we hold for @Hktst1001. 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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“海韻 spa 新頻道 備用號 @HKtst1001” (@Hktst1001), 676 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/Hktst1001.
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.