Real estate — 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 10 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
32 measurements spanning 42 days, net +52. 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 17,071–17,913 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 16:59
17,816
+121
16 Sept 2026, 06:39
17,695
+118
14 Sept 2026, 10:17
17,577
-3
12 Sept 2026, 16:20
17,580
+1
7 Sept 2026, 05:17
17,579
-2
4 Sept 2026, 12:38
17,581
+17
3 Sept 2026, 01:33
17,564
+92
2 Sept 2026, 00:54
17,472
+21
1 Sept 2026, 03:03
17,451
+81
31 Aug 2026, 02:43
17,370
-1
30 Aug 2026, 03:16
17,371
+1
29 Aug 2026, 00:25
17,370
+2
28 Aug 2026, 02:08
17,368
+94
27 Aug 2026, 01:38
17,274
+106
26 Aug 2026, 01:44
17,168
-25
25 Aug 2026, 01:52
17,193
-77
23 Aug 2026, 14:38
17,270
-86
22 Aug 2026, 01:09
17,356
-60
20 Aug 2026, 18:06
17,416
+33
19 Aug 2026, 17:37
17,383
first reading
Engagement
15 posts held, back to 15 July 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.2%
avg views ÷ 17,816 subscribers
Avg views / post
3,600
2 posts measured
Reaction rate
0.111%
reactions ÷ views · ER floor
Posts in window
2
of 15 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 31 August 2026
Posts held
15 (15 July 2026 – 31 August 2026)
Views total
7,190
Reactions total
8
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:13 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
45s
Average length
15s
Measured directly from 3 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
67 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 25.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
17
25.4%
❤
13
19.4%
👍
11
16.4%
⚡
5
7.46%
👏
5
7.46%
🙏
5
7.46%
🤩
5
7.46%
🤔
3
4.48%
👌
2
2.99%
❤🔥
1
1.49%
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 15 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 15 July 2026 to 31 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.
🔥Арендатор сеть магазинов «Магнит» уже внутри.
📍 г. Москва, Ленинградский пр-т, д. 66, корп. 2
💰 Стоимость объекта — 219 900 000 ₽.
Чтобы узнать подробности по проекту и записаться на просмотр — свяжитесь с Алексеем Жбанчиковым.
Наш канал в MAX
Больше коммерческих объектов — на нашем сайте.
🔥 Центр Москвы, который работает на ваш бизнес
Street Retail на первой линии
Рождественского бульвара, д.22/23с1 — всего 4–5 мин. пешком от станций метро «Тургеневская», «Сретенский бульвар» и «Чистые пруды».
❓Почему стоит обратить внимание:
— площадь 75,3 м²;
— первый этаж, отдельный вход с фасада и выход во двор;
— две большие витрины;
— потолки 3,8 м.;
— 40 кВт;
— возможность установки вытяжки;
— свободная плани…
📍г. Москва, ул. Бочкова, 6к1
Всего 7 минут пешком от м. «Алексеевская».
💰На продажу предлагается готовый арендный бизнес площадью 398,3 м² с действующим сетевым арендатором — продуктовым магазином «Магнолия».
❓Почему стоит обратить внимание на этот объект?
💰 1 464 000 ₽ в месяц — фиксированная арендная ставка
💰 17 568 000 ₽ в год — годовой арендный поток
📈 около 10,4% годовых по текущему ГАП
⏳ окупаемость — менее 1…
🔥 19,2 млн ₽ в год арендного дохода: готовый арендный бизнес на Ленинградском проспекте
Не искать арендатора. Не ждать запуска. Не начинать с пустого помещения.
В продаже — готовый арендный бизнес с действующим арендатором — магазином федеральной сети «Магнит» с алкогольной лицензией.
📍 Москва, Ленинградский проспект, д. 66, корп. 2
Ключевые параметры объекта:
— площадь — 460,9 м²
— арендная ставка — 1 600 000 ₽/м…
Недвижимость в центре Москвы — это хорошо. Недвижимость в центре Москвы, которая уже приносит доход, — еще лучше. 🔥
📍Рядом с метро «Полянка» представлен готовый арендный бизнес для тех, кто рассматривает коммерческую недвижимость не просто как квадратные метры, а как работающий инвестиционный актив.
✅Здесь сошлись сразу несколько факторов, которые особенно важны для инвестора: исторический центр столицы, 3 минуты д…
🌿 #ЗемляМанго
🏡 Инвестиции в загородную недвижимость — это не только готовый дом, но и земельный участок, который остается вашим материальным активом. Его можно использовать для собственного проживания, сдавать в аренду или развивать как инвестиционный проект. 📈
✨ В коттеджном посёлке «Давыдково» представлено готовое решение — комплекс из трёх современных барнхаусов, который продаётся единым лотом.
Каждый дом: ✔️ …
#ЗемляМанго
Друзья, напоминаем про наш земельный проект — коттеджный посёлок «Дубровское» на Новорижском шоссе! 😍
Всего 25 минут от МКАД — и вы вдали от городской суеты, в окружении леса, но при этом рядом вся нужная инфраструктура. 🌳🏙️
Кому же подойдёт данный посёлок?
Ответили в посте.
📞 Хотите увидеть всё своими глазами?
С радостью покажем объекты в любое удобное время:
+7 (495) 664‑90‑49
#ПродажаГАБ
🔥 Готовый арендный бизнес в Москве с доходом 220 000 ₽ в месяц
Продаётся коммерческое помещение с действующим арендатором — пунктом выдачи Ozon, который работает здесь с января 2021 года.
📦 Новый договор аренды заключён на 5 лет с ежегодной безусловной индексацией ставки на 5%.
📍 Москва, ул. Бажова, д. 8, ЖК «Каменный цветок» 📐 Площадь — 43,3 м² 💰 Арендная ставка — 220 000 ₽ в месяц 📈 Доходность — около…
#ЗемляМанго | Проект «Ваша Земля»
Мы работаем не только с коммерческой недвижимостью. В нашем портфеле есть направление по продаже земельных участков и готовых домов в Подмосковье.
«Ваша Земля» — это:
✔ более 1000 участков
✔ 5 поселков на востребованных направлениях
✔ готовые дома
✔ рассрочка
✔ юридическое сопровождение
✔ персональные показы
Для клиентов — подбор объекта под бюджет и сценарий жизни.
Для агентов —…
Showing the 12 most recent of 15 posts we hold for @mangoinvest. 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 14 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.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
R4S | Доходная торговая недвижимость @r4s_official · 31,071 Telegram ranks this channel #2 of 83 here — alongside 82 others — read 4 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Манго Инвест. Инвестиции в недвижимость.” (@mangoinvest), 17,816 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/mangoinvest.
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.