Sticker, posted without a caption

Channel
🏠旅館推薦❤️
@ysw5201314
On this record: Growth · Engagement · Posts · Citations · Cite this entry
166subscribers
-4 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 | -1002130642765 |
|---|---|
| Type | Channel |
| Username | @ysw5201314 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 4 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 4 September 2026 |
| On Telegram | t.me/ysw5201314 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 01:17 | 166 | -2 |
| 21 Aug 2026, 00:22 | 168 | -2 |
| 8 Aug 2026, 15:15 | 170 | no change |
| 7 Aug 2026, 18:06 | 170 | first reading |
Engagement
11 posts held, back to 4 February 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 11 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
#萬華 平價旅館 乾淨衛生 旅館:內江 價位:3H 980 地址:萬華區西寧南路112號 電話:0223812147
今天捧場約妹 明天免費😍😍
https://t.me/r920520/38907 快來領取你們的生肖福利啦
這款超好用的軟體終於登場了!約妹隱秘的專屬神器!趕快行動起來吧,別落下,去蘋果手機到蘋果商店下載 快把它下載到你的手機裡吧,註冊個帳號,加糖一好友呀!我們一起探索這個新軟體的無限可能吧! ➡️搜尋我的ID添加好友:eQpdUJO9 ➡️可直接點擊鏈接跟糖一聊天 https://gleezy.net/x3rim7
#永和 旅館:愛摩爾 價位:3H1800 地址:永和區仁愛路316號 電話:0289217721
#鳳山 旅館:華水亭 價位:2h880 地址:鳳山區園貿路62號 電話:077927477
大家有開旅館都可以拍旅館圖發給我 我來繼續給大家更新
#前金 旅館:旅居 價位:2h480 地址:高雄市前金區七賢二路178號 電話:072858277
#中西 旅館:立合 價位:2h450 地址:台南市中西區忠義路二段145號8樓 電話:062275566
#新莊 旅館:美麗心 價位:3h1300 地址:新莊區新樹路242號 電話:02 2205 1111
Showing the 11 most recent of 11 posts we hold for @ysw5201314. 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
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 4 September 2026 — this entry's latest reading, not the date you are reading this.
“🏠旅館推薦❤️” (@ysw5201314), 166 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/ysw5201314.
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.