Channel
@vladimengysl
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002263946048 |
|---|---|
| Type | Channel |
| Username | @vladimengysl |
| Created | 19 October 2024 — measured — dated from the channel’s first post |
| First recorded | 14 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 4 times, most recently 12 September 2026 |
| On Telegram | t.me/vladimengysl |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 23:28 | 1 | -1 |
| 14 Aug 2026, 03:35 | 2 | no change |
| 7 Aug 2026, 14:01 | 2 | first reading |
7 posts held, back to 19 October 2024 — 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 7 posts for this entry, the most recent from 19 November 2024. An engagement rate over an empty window would be a number about nothing.
1. ПЕРВЫЙ 💎 - полит новости 2. РОССИЯ 1 🇷🇺 - полит новости 3. Поддубный ZOV 🪖- авторские новости 4. Сладков+ 🪖- авторские новости 5. Kotsnews 🪖- авторские новости 6. Военкор Поддубный 🪖- авторские новости 7. Вован и Лексус 🤡 - сатира,новости 8. Ванга 🔮- авторские новости 9. Молния | Чернозем 🗺️ - региональные новости Цена во всех 300 цпм Приём каждую неделю Обращаться: @vladimirmeng
📚 Книгач • Литература Подписчики: 10к Стоимость: 1/48 - 1200 2/72 - 1400 🔝 Сторис 25₽/пдп 🤖 Рассылка в боте 25₽/пдп Статистика: TG Stat | Telemetr
#ПРОДАМ ГОРЯЧИЕ МЕСТА #МОДА/КРАСОТА #ЖЦА Прайс: 🧼Банки-склянки 1/120 - 12.000р (+-700спм) 📊ТГ STAT 🐦Вороны-москвички 1/120 - 12.000р (+-700спм) 📊ТГ STAT 🌆Москва в тренде 1/120 12.000р 700спм 📊ТГ STAT 👠 Фэшн-сегмент 1/120 5.000р (+-700спм) 📊ТГ STAT
#ПРОДАЮ ГОРЯЧИЕ МЕСТА НА КАНАЛАХ: ХАЙПОЖОР - 13.900₽ (50.000-65.000) 👁 Сжатый смайл - 5.500₽ (19.000-25.000) 👁
🔥#ПРОДАЮ ГОРЯЧИЕ МЕСТА #ЖЦА🔥 НА Канале: Банки-склянки ЖЦА 90% | МЦА 10% ПРАЙС: 1/120( 1 час в топе и 5 суток в ленте) 12000₽ Обращаться: @vladimirmeng
#ПРОДАЮ ГОРЯЧИЕ МЕСТА #НОВОСТИ и СМИ #МЦА Канал: Халяпин 1.0 МЦА 90% // ЖЦА 10% Прайс: 1/24 4000р КУПИТЬ:@vladimirmeng
Channel created
Showing the 7 most recent of 7 posts we hold for @vladimengysl. 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.
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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“Услуги | Vladi” (@vladimengysl), 1 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/vladimengysl.
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.