🔥宜家🈶女🈶房 🈶位🔥 #歡迎預約囡囡留位 #點擊水牌快速查詢了解 📱快速預約👉🏻@Numberonenuru

Channel
Numberonespa睇圖號
@numberonespa1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,351subscribers
+429 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002175647232 |
|---|---|
| Type | Channel |
| Username | @numberonespa1 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 October 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 5 October 2026 |
| On Telegram | t.me/numberonespa1 |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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 |
|---|---|---|
| 5 Oct 2026, 14:21 | 8,351 | +49 |
| 28 Sept 2026, 06:36 | 8,302 | +135 |
| 16 Sept 2026, 05:40 | 8,167 | +36 |
| 12 Sept 2026, 17:38 | 8,131 | +45 |
| 8 Sept 2026, 21:20 | 8,086 | +22 |
| 3 Sept 2026, 09:36 | 8,064 | +18 |
| 31 Aug 2026, 13:08 | 8,046 | +11 |
| 28 Aug 2026, 11:44 | 8,035 | +18 |
| 25 Aug 2026, 04:15 | 8,017 | +17 |
| 21 Aug 2026, 13:12 | 8,000 | +7 |
| 18 Aug 2026, 11:52 | 7,993 | +14 |
| 15 Aug 2026, 17:47 | 7,979 | +10 |
| 12 Aug 2026, 15:33 | 7,969 | +12 |
| 10 Aug 2026, 00:28 | 7,957 | +37 |
| 7 Aug 2026, 00:46 | 7,920 | -2 |
| 6 Aug 2026, 15:46 | 7,922 | first reading |
Engagement
89 posts held, back to 5 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 26 pages 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 89 posts for this entry, the most recent from 28 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 2m 06s
- Average length
- 13s
Measured directly from 10 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
12 reactions across 11 posts, in 2 distinct kinds. The most used accounts for 91.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 91.7% | |
| 👏 | 1 | 8.33% |
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 13 of the 89 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 5 August 2026 to 28 August 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
🦋🦋🦋🦋🦋🦋🦋🦋 #雙飛組合 🉑無兔 #Eop #Comi
🦋🦋🦋🦋🦋🦋🦋🦋 #雙飛組合 🉑無兔 #Vold #Blog
#尖沙咀 🔥 價錢 泰A餐:600/q/60min 泰B餐:800/2q/90min 主營系列總簡介😀 後生嫩嫩 #Niew #Ara #Rosa 紅牌 靚女 #Vold #iran 癡女服務係 #Suka #Blog #Ying 大長腿 #Uar 是日休息: 🈚套: #Vold500 #Iran500 #Blog500 #Uar500 #Ara500 #Niew500 後花園🌸: #Suka500 #Ying500 #Ara500 吞精: #Suka #Ara300 雙飛組合: 泰式菜單:https://t.me/Numberonespathai 📱PM: @Numberonenuru
❤1
#旺角 #中菜套餐 中A餐700/60min/1q 中B餐900/75min/1-2q 中C餐1400/120min/2q 後生囡囡 #西西 長腿係 #秋秋 中餐廳菜單: https://t.me/NumberonespaChineserestaurant
❤1
#JD 泰菜Plan A餐:600/q/60min B餐:800/2q/90min 高山⛰️低谷 癡女係 #Comi #Eop 後生幻幻 細細粒 #Yumi #Nev 瘦低 休息: 🈚套: #Ven500 #Comi500 #Eop500 後花園🌸:#Ven 吞精👅:##Ven 雙飛組合: #Comi & #Eop 泰式菜單:https://t.me/Numberone7788
#Mk 泰菜Plan A餐:600/q/60min B餐:800/2q/90min 高山⛰️低谷 #Nicy 後生系 靚女系 #jazi 癡女系 休息: 🈚套: #Jazi500 後花園🌸: 吞精👅 : 泰式菜單:https://t.me/Numberonespa222999
🦋🦋🦋🦋🦋🦋🦋🦋 #雙飛組合 🉑無兔 #Vold #Blog
🦋🦋🦋🦋🦋🦋🦋🦋 #雙飛組合 🉑無兔 #Eop #Comi
#尖沙咀 🔥 價錢 泰A餐:600/q/60min 泰B餐:800/2q/90min 主營系列總簡介😀 後生嫩嫩 #Niew #Ara #Rosa 紅牌 靚女 #Vold #iran 癡女服務係 #Suka #Blog #Ying 大長腿 #Uar 是日休息: 🈚套: #Vold500 #Iran500 #Blog500 #Uar500 #Ara500 #Niew500 後花園🌸: #Suka500 #Ying500 #Ara500 吞精: #Suka #Ara300 雙飛組合: 泰式菜單:https://t.me/Numberonespathai 📱PM: @Numberonenuru
#旺角 #中菜套餐 中A餐700/60min/1q 中B餐900/75min/1-2q 中C餐1400/120min/2q 後生囡囡 #西西 細細粒 #白菜 🥬 長腿係 #秋秋 大波系 #小香 粵語 #qing 中餐廳菜單: https://t.me/NumberonespaChineserestaurant
#JD 泰菜Plan A餐:600/q/60min B餐:800/2q/90min 高山⛰️低谷 癡女係 #Comi #Eop 後生幻幻 細細粒 #Yumi #Nev 瘦低 休息: 🈚套: #Ven500 #Comi500 #Eop500 後花園🌸:#Ven 吞精👅:##Ven 雙飛組合: #Comi & #Eop 泰式菜單:https://t.me/Numberone7788
Showing the 12 most recent of 89 posts we hold for @numberonespa1. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
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 5 October 2026 — this entry's latest reading, not the date you are reading this.
“Numberonespa睇圖號” (@numberonespa1), 8,351 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/numberonespa1.
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.