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Telegram profile photo for 【星海】🏖高龙岛|撒冷岛|各岛酒店

Channel

【星海】🏖高龙岛|撒冷岛|各岛酒店

@xinghaihotel

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

542subscribers

-14 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-1002202742654
TypeChannel
Username@xinghaihotel
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live17 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/xinghaihotel

Topic

Travel — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

5425565497 August 2026 — 556 subscribers8 August 2026 — 556 subscribers15 August 2026 — 552 subscribers22 August 2026 — 551 subscribers29 August 2026 — 549 subscribers8 September 2026 — 546 subscribers17 September 2026 — 542 subscribers7 August 202617 September 2026
7 measurements spanning 41 days, net -14. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 540–558 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 14:16542-4
8 Sept 2026, 18:40546-3
29 Aug 2026, 15:27549-2
22 Aug 2026, 11:28551-1
15 Aug 2026, 02:23552-4
8 Aug 2026, 03:35556no change
7 Aug 2026, 22:32556first reading

Engagement

2 posts held, back to 2 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 2 posts for this entry, the most recent from 2 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
49s
Average length
25s

Measured directly from 2 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

2 Aug 2026, 07:44 UTC163 viewsread 8 August 2026
Photo

#Jati度假村 &星海旅行社 坐标📍:竹岛(独立度假岛屿,不在高龙岛) 星级⭐️:四钻(酒店型) 设施🛀🏻:室外泳池、沙滩排球、健身房、桑拿房、乒乓球、高尔夫球场、桨板、羽毛球场、皮划艇 宠物🐶:不可携带宠物 特点🔆: 坐落在占地 46 公顷的热带森林中,距离酒店的私人码头仅 10 分钟快艇航程,是一个僻静的天堂。拥有82栋别墅。 房间价格 🔴花园阁楼:188$ 🔴花园别墅:228$ 🔴海滨泳池别墅:428$ 🔴双卧花园泳池别墅:768$ 🔴双卧海滨泳池别墅:878$ ⚠️注:房费包含快艇费用,预定酒店后可到酒店码头乘坐快艇抵达酒店🏨 如有业务咨询请添加: 联系姗姗: - @Sasha5233 联系小雪: - @xinghai_xiaoxue 高龙岛|撒冷岛|酒店 游艇|快艇|摩托艇|海钓 西港|金边|酒店|景点 吴哥窟|酒店|门票|导游 机票|签证|劳工证 房屋租售|别墅|公寓

2 Aug 2026, 07:37 UTC112 viewsread 8 August 2026
Photo

#六善酒店&星海国际旅行社 坐标📍:六善岛 星级⭐️:五钻(酒店型) 设施🛀:Spa、餐厅、瑜伽课程(收费)、儿童乐园、 特点🔆:提供带私人海滩区的渔屋式住宿。客人可以在桑拿浴室及草药蒸汽帐篷放松身心,或在spa享受高棉式足部按摩。天文台夜观星空和观看露天电影等活动。 宠物🐈‍⬛:不可携带宠物 房间价格(节假日价格另询): 🔴静谧泳池别墅(2人)—600$ 🔴海洋泳池别墅(2人)—680$ 🔴海洋泳池别墅套房 (2人)—800$ 🔴海滨泳池套房(2人)—1100$ 🔴海洋泳池两卧别墅(4人)—1600$ 🔴沙滩秘境房(4人)—2500$ 如有业务咨询请添加: 联系姗姗: - @Sasha5233 联系小雪: - @xinghai_xiaoxue 高龙岛|撒冷岛|酒店 游艇|快艇|摩托艇|海钓 西港|金边|酒店|景点 吴哥窟|酒店|门票|导游 机票|签证|劳工证 房屋租售|别墅|公

Showing the 2 most recent of 2 posts we hold for @xinghaihotel. 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 5 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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“【星海】🏖高龙岛|撒冷岛|各岛酒店” (@xinghaihotel), 542 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/xinghaihotel.

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.