Channel name was changed to «金灡Spa 好評區🎎 (真包膠)»

Channel
金灡Spa 好評區🎎 (真包膠)
@likeshanspa
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
606subscribers
-1 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 | -1001391429372 |
|---|---|
| Type | Channel |
| Username | @likeshanspa |
| Created | Between 1 June 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/likeshanspa |
Topic
Other / unclassifiable — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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 |
|---|---|---|
| 13 Sept 2026, 10:59 | 606 | -5 |
| 5 Sept 2026, 22:01 | 611 | -2 |
| 29 Aug 2026, 01:37 | 613 | +2 |
| 22 Aug 2026, 09:37 | 611 | -1 |
| 14 Aug 2026, 19:15 | 612 | +5 |
| 7 Aug 2026, 10:48 | 607 | no change |
| 7 Aug 2026, 10:33 | 607 | first reading |
Engagement
8 posts held, back to 5 July 2025 — 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 8 posts for this entry, the most recent from 2 August 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
一沐 Yuki🥰 #Yuki好評 ✅好評 Yuki絕無冷場🔥🔥 27歲 168cm ✳️純天然E波 ✳御姐感覺 ✳️高挑長腳 🔥特點: 水簫💦、大場按摩手法♨️ 胸推一流、玩腳一流 💞囡囡主目錄: 👉🏻請點擊👈🏻 📸01 📸02 📸03 🎥01 TG預約📧 : @ShanSpaChat wts☎️: 55888661 wechat ☎️: 51888990 📸每天相冊: https://t.me/senspa88 #一沐spa #荃灣區
一沐 Yuki🥰 #Yuki好評 ✅好評 Yuki係一個好對手🫶🏻🫶🏻 27歲 168cm ✳️純天然E波 ✳御姐感覺 ✳️高挑長腳 🔥特點: 水簫💦、大場按摩手法♨️ 胸推一流、玩腳一流 💞囡囡主目錄: 👉🏻請點擊👈🏻 📸01 📸02 📸03 🎥01 TG預約📧 : @ShanSpaChat wts☎️: 55888661 wechat ☎️: 51888990 📸每天相冊: https://t.me/senspa88 #一沐spa #荃灣區
一沐 Yuki🥰 #Yuki好評 ✅好評 Yuki完全係翻食料🥰 27歲 168cm ✳️純天然E波 ✳御姐感覺 ✳️高挑長腳 🔥特點: 水簫💦、大場按摩手法♨️ 胸推一流、玩腳一流 💞囡囡主目錄: 👉🏻請點擊👈🏻 📸01 📸02 📸03 🎥01 TG預約📧 : @ShanSpaChat wts☎️: 55888661 wechat ☎️: 51888990 📸每天相冊: https://t.me/senspa88 #一沐spa #荃灣區
#suger,好評王👍👍
運動場:#一沐 運動同伴:Sugar 評分: 相頭 10/ 10 年輕五官标青眼大大目测廿中属于山的出類拔萃 身材 9/ 10 细细粒瘦有D波 服務8/ 10 搞笑好玩不黑面 過程:P1新女按摩技巧就一般 p2囡囡热情好笑容不用破冰 p3可任砌任换位不黑面,配合度高,还搞笑 問仲有啲乜嘢姿勢未做完😜 家用:1000 感受:靚女一名,皮膚白滑,係略嫌按摩技巧有待改善啲,相頭行先嘅師兄實去馬。溫柔又配合度高,想玩女朋友feel嘅又啱玩。 重点抵赞:有 前後侍浴👍 ——————————————— https://t.me/ChuanSpaReport
#suger好評👍👍試過都話好👍
荃灣區 #一沐 今日推介囡囡: #suger 20芳華158cm 36D大波 馬甲線大長腿,體重88斤 嬌滴滴嬌小可愛甜美型 皮膚白滑,聲線甜,外表斯文,身材性感火辣,床上功夫一流💋 按摩好 前後陪浴 🛀👄按摩,波推,臀推,漫遊,深喉吹,螞蟻上樹,口技一流,可絲襪誘惑,🈶69 👅 🈶口爆 可小車,可大車🚗推油,日式nuru,莞式全套服務,應有盡有,各位哥哥不用 TG睇相 https://t.me/chanspavip 聯絡客服 👉 @leosong2021 好評區👇 https://t.me/likeshanspa 電話55888661whats 51888990wechat
Showing the 8 most recent of 8 posts we hold for @likeshanspa. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“金灡Spa 好評區🎎 (真包膠)” (@likeshanspa), 606 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/likeshanspa.
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.