中環新裝修,環境幹淨舒適,全場使用一次性毛巾❤️

Channel
Serena 💖Spa(全新裝修)
@Serenaspa001
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2,302subscribers
+636 since we began measuring on 25 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002017739919 |
|---|---|
| Type | Channel |
| Username | @Serenaspa001 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 25 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/Serenaspa001 |
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 16 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 |
|---|---|---|
| 12 Oct 2026, 16:36 | 2,302 | +52 |
| 5 Oct 2026, 17:36 | 2,250 | +93 |
| 28 Sept 2026, 10:42 | 2,157 | +121 |
| 18 Sept 2026, 19:57 | 2,036 | +49 |
| 14 Sept 2026, 05:57 | 1,987 | +37 |
| 10 Sept 2026, 19:38 | 1,950 | +54 |
| 6 Sept 2026, 00:01 | 1,896 | +92 |
| 1 Sept 2026, 21:25 | 1,804 | +42 |
| 29 Aug 2026, 16:58 | 1,762 | +63 |
| 26 Aug 2026, 13:42 | 1,699 | +33 |
| 25 Aug 2026, 21:45 | 1,666 | first reading |
Engagement
7 posts held, back to 18 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 25 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 16s
- Average length
- 16s
Measured directly from 1 video 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
#晴美 中環 165cm. 43kg C cup. 💕3 7分好身段 💕皮膚白滑手感一流🤩 💕身柔骨軟好柔捏 💕唔洗破冰🔥熱情奔放 💕細腰長腿🤩 💕電眼含情 甜聲會道 💕任玩任舞❤️配合度高 💕全能服務👍🏻 🉑大場按摩 🉑激情69 🉑波推 🉑高清nuru 🉑rpp放風箏 🉑大🚗 🉑環保♻️ 🉑過水 🉑絲襪、制服誘惑 預約請按:@Serenaspa6868 睇圖請按:@Serenaspa001
#kiki 中環 168cm. 46kg 36C. 💕超級氣質靚女 💕皮膚又白滑好好摸🤩 💕小蠻腰加埋對白滑美腿🦵🏻 💕唔洗破冰女友feel 💕鍾意長腿靚女必試🤩 💕有埋高級吹湊♻️🫦 💕任玩任舞❤️配合度高 💕初戀女友feel 🉑大場按摩 🉑激情69 🉑波推 🉑高清nuru 🉑rpp放風箏 🉑大🚗 🉑環保♻️ 🉑腳交 🉑絲襪、制服誘惑 預約請按:@Serenaspa6868 睇圖請按:@Serenaspa001
#mimi 中環 👱🏻♀️166cm👙D Cup 💕手腳幼S腰 ,大長腿 💕天然真大D波👍 💕性感迷人,誘惑身材 💕白滑靚波柔軟好揸 💕纖細長腿走腩🌈 💕有女朋友的feel 💕波嫰肉滑,體態誘人 💕服務全面任摸不格手 🉑大場按摩 🉑激情69 🉑波推 🉑高清nuru 🉑rpp放風箏 🉑大🚗 🉑環保♻️ 🉑抓龍筋🐉 🉑絲襪、制服誘惑 預約請按:@Serenaspa6868 睇圖請按:@Serenaspa001
#koko 中環 👱🏻♀️162 cm👙C Cup 💕笑容甜美 💕走肥靚女 💕 驚喜連連😍 💕皮膚白滑好身材 💕奔放投入❤️ 💕各種招式任轉任玩👍 💕服務多元化🥳 💕激情無限 🉑大場按摩 🉑激情69 🉑波推 🉑高清nuru 🉑rpp放風箏 🉑大🚗 🉑環保♻️ 🉑抓龍筋🐉 🉑絲襪、制服誘惑 預約請按:@Serenaspa6868 睇圖請按:@Serenaspa001
#yoyo 🇭🇰陀地 中環 👱🏻♀️162 cm👙E Cup 💕後生甜美天然E級巨乳 💕瘦底完全走肥 😍 💕 皮膚超級白滑 💕性格活潑甜美笑容 💕 眼大大,面尖尖 💕初戀女朋友feel 🈵 💕甜美靚女 💕土生土長後生靚女 💕 情到濃處仲有驚喜服務😍 🉑按摩 🉑激情69 🉑波推 🉑高清nuru 🉑rpp放風箏 🉑大🚗 🉑環保♻️ 🉑抓龍筋🐉 🉑絲襪、制服誘惑 預約請按:@Serenaspa6868 睇圖請按:@Serenaspa001
#Moon 🇭🇰純陀 👱🏻♀️165 cm👙DCup 💕天然D級大波🔥 💕大波瘦底索爆身材 💕白滑肌膚彈手好揸好摸🥳 💕任舞任玩舞 💕性格活潑🥰 💕甜美笑容 眼大大面尖尖 💕初戀女朋友feel 😍 💕 說話嬌嗲 氣 💕土生土長後生靚女 💕 情到濃處仲有驚喜服務😍 🉑按摩 🉑激情69 🉑高清nuru 🉑rpp放風箏 🉑大🚗 🉑環保♻️ 🉑絲襪、制服誘惑 預約請按:@Serenaspa6868 睇圖請按:@Serenaspa001
Showing the 7 most recent of 7 posts we hold for @Serenaspa001. 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 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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“Serena 💖Spa(全新裝修)” (@Serenaspa001), 2,302 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/Serenaspa001.
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.