Channel
@Ofisnoy_mebel
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
16subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002216160053 |
|---|---|
| Type | Channel |
| Username | @Ofisnoy_mebel |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 10 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Ofisnoy_mebel |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 22:16 | 16 | no change |
| 9 Aug 2026, 06:15 | 16 | first reading |
5 posts held, back to 15 January 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 5 posts for this entry, the most recent from 23 February 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
#ofis Model : 006 Kod:0120 Rangi : Black Qulayligi : 10- Xil Qulayligi Bor ! Funksiyalari xammasi Videoda kursatilgan ! Etibor Berilar ! Narxi :140$ 🚛Доставка в TJ🇹🇯 UZ🇺🇿 KZ🇰🇿 KG🇰🇬 ✨Для получения дополнительной информации: 📞+998948614262 💖 @ASIA_Mebel24_Maganer 💖 @Asiamebel24 💖𝗔𝘀𝗶𝗮 𝗠𝗲𝗯𝗲𝗹𝟮𝟰 |•Uz ||Cпальный гарнитур||Мягкая мебель||Стол стул||Шкаф||Офисная мебель||Мебель премиум-класса|| Пенал камод||Кровать
Ofesniy Complekt ✅ Made In China 🇨🇳 Model : RGT Rangi : 🔘 Alohida Sotilari Ofesni,Shkaf,Cofe 💎 MDF - Tortmalik Javonlari Bor ! Narxi Ofesni : 2.4 M - 800💸 Narxi Ofesni : 2.6 M - 900 💸 Narxi Shkaf : 800 Narxi Majlis stol : 3 M - 900 💸 Narxi Majlis stol : 3.6 M - 1000$ Narxi Cofe : 190 💸 🚛Доставка в TJ🇹🇯 UZ🇺🇿 KZ🇰🇿 KG🇰🇬 ✨Для получения дополнительной информации: 📞+998948614262 💖 @ASIA_Mebel24_Maganer 💖 @Asiamebel2…
Ofesniy Complekt ✅ Made In China 🇨🇳 Model : HLZ Rangi : 🔘 Alohida Sotilari Ofesni,Shkaf,Cofe 💎 MDF - Tortmalik Javonlari Bor ! Narxi Ofesni : 2.4 M - 700💸 Narxi Shkaf : 600 $ Narxi Majlis stol : 3.2 M - 800 💸 Narxi Cofe : 180 💸 🚛Доставка в TJ🇹🇯 UZ🇺🇿 KZ🇰🇿 KG🇰🇬 ✨Для получения дополнительной информации: 📞+998948614262 💖 @ASIA_Mebel24_Maganer 💖 @Asiamebel24 💖𝗔𝘀𝗶𝗮 𝗠𝗲𝗯𝗲𝗹𝟮𝟰 |•Uz ||Cпальный гарнитур||Мягкая мебель||С…
Ofesniy Complekt ✅ Made In China 🇨🇳 Model : EHD Rangi : 🟤 Alohida Sotilari Ofesni,Shkaf,Cofe 💎 Materiali : Toza Shoon + MDF Narxi Ofesni : 2.4 M - 1500💸 Narxi Shkaf : 2.4 M - 1500 💸 Narxi Cofe : 190 💸 🚛Доставка в TJ🇹🇯 UZ🇺🇿 KZ🇰🇿 KG🇰🇬 ✨Для получения дополнительной информации: 📞+998948614262 💖 @ASIA_Mebel24_Maganer 💖 @Asiamebel24 💖𝗔𝘀𝗶𝗮 𝗠𝗲𝗯𝗲𝗹𝟮𝟰 |•Uz ||Cпальный гарнитур||Мягкая мебель||Стол стул||Шкаф||Офисная ме…
Ofesniy Complekt ✅ Made In China 🇨🇳 Model : EHD Rangi : 🔘 Alohida Sotilari Ofesni,Shkaf,Cofe 💎 Materiali : Toja Shoon + MDF Narxi Ofesni : 2 M - 700💸 Narxi Shkaf : 2 M - 700💸 Narxi Cofe : 90 💸 Narxi Majlis Stol : 800 💸 🚛Доставка в TJ🇹🇯 UZ🇺🇿 KZ🇰🇿 KG🇰🇬 ✨Для получения дополнительной информации: 📞+998948614262 💖 @ASIA_Mebel24_Maganer 💖 @Asiamebel24 💖𝗔𝘀𝗶𝗮 𝗠𝗲𝗯𝗲𝗹𝟮𝟰 |•Uz ||Cпальный гарнитур||Мягкая мебель||Стол стул…
Showing the 5 most recent of 5 posts we hold for @Ofisnoy_mebel. 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.
Named by 9 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.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Ofisnoy Mebel” (@Ofisnoy_mebel), 16 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/Ofisnoy_mebel.
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.