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 12 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 the other topics.
Growth
25 measurements spanning 91 days, net -1. 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 6,005–6,057 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
6 Nov 2026, 00:38
6,022
-7
3 Nov 2026, 01:26
6,029
+1
31 Oct 2026, 00:37
6,028
+4
27 Oct 2026, 22:30
6,024
-1
24 Oct 2026, 18:06
6,025
-3
21 Oct 2026, 08:18
6,028
+2
18 Oct 2026, 11:56
6,026
-9
15 Oct 2026, 04:11
6,035
-3
11 Oct 2026, 20:16
6,038
-7
5 Oct 2026, 04:38
6,045
-6
26 Sept 2026, 22:40
6,051
+7
17 Sept 2026, 12:16
6,044
+6
13 Sept 2026, 10:39
6,038
+3
9 Sept 2026, 10:15
6,035
-9
4 Sept 2026, 01:20
6,044
+8
31 Aug 2026, 12:45
6,036
+1
28 Aug 2026, 09:38
6,035
+24
25 Aug 2026, 01:28
6,011
-4
21 Aug 2026, 04:55
6,015
-9
18 Aug 2026, 02:03
6,024
first reading
Engagement
25 posts held, back to 20 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 13 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.0%
avg views ÷ 6,022 subscribers
Avg views / post
783
12 posts measured
Reaction rate
1.55%
reactions ÷ views · ER floor
Posts in window
12
of 25 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 5 November 2026
Posts held
25 (20 July 2026 – 5 November 2026)
Views total
9,401
Reactions total
146
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 17:22 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
4m 33s
Average length
1m 08s
Measured directly from 4 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
321 reactions across 24 posts, in 11 distinct kinds. The most used accounts for 34.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
109
34.0%
❤
96
29.9%
👍
46
14.3%
👏
20
6.23%
💯
19
5.92%
😱
10
3.12%
🤩
10
3.12%
😁
8
2.49%
🎉
1
0.312%
🤯
1
0.312%
🥰
1
0.312%
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 25 of the 25 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 321 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 20 July 2026 to 5 November 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
Telegram’s own ‘edited’ marker: 1 of 12 posts held from the last 30 days (8.33%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Помните историю, как мы с клиентом искали аренду и из 10 вариантов 5 оказались фейками?
У неё есть финал 🎉 Мы сняли в A.Residence на Садовнической, 82.
Клиенту нужны были 3 спальни в Замоскворечье, а такого формата здесь почти нет. Сняли почти за 500 тыс. ₽ в месяц.
Про сам проект 👇
5 клубных особняков от бюро «Цимайло Ляшенко и партнёры». Фасады из натурального камня, окна многогранные, каждое похоже на грань кр…
Этот канал - не просто о недвижимости.
Это канал обо мне, женщине, которая выбрала силу. Себя. И своё дело.
Давайте знакомиться - Ольга Мажуть 👋
15+ лет в недвижимости, сотни клиентов, тысячи квадратных метров, но главное - каждая сделка была про жизнь.
✍🏻 Ирония, стиль и душа в каждом посте.
Чем я занимаюсь:
✅ Новостройки и вторичная недвижимость. Покупка и Продажа.
✅ Москва и МО. Бизнес и Премиум класс
✅ Жи…
Сделка прошла, а деньги не дошли…
Хочу поднять тему, которая сейчас очень актуальна. Как купить или продать квартиру в Москве, если вы живёте за границей?
За последний месяц я уточняла схемы сразу для трёх клиентов. И каждый раз убеждалась: сама квартира - уже не главный вопрос.
Ситуации бывают разные👇
➡️Гражданин другой страны, хочет купить квартиру в России. Рубли уже есть в Москве. Как оформить? Нужен ИНН, счё…
⚡️В Москве под арестом 2,3 млн м² коммерческой недвижимости
На днях эти цифры опубликовали Ведомости по данным сервиса Asseto👇
Сейчас в Москве под арестом 6 377 коммерческих объектов. Это 2,3 млн квадратных метров на 295 млрд рублей по кадастру.
И это ещё не всё. Если добавить объекты с запретом на регистрацию, под ограничениями уже 9,4 млн м².
➡️75% арестованных объектов принадлежат обычным людям, а не компаниям…
Открылась Шелепихинская набережная. Вокруг Сити наконец можно гулять 🙃
Кто был в районах вокруг Москва-Сити, тот понимает. Сплошная стройка, пыль, заборы… Красиво только на рендерах.
Но потихоньку все меняется.
На днях открыли Шелепихинскую набережную. Её реконструировали аж три года! Теперь там есть пешеходные и велодорожки, спортивные и детские площадки. В общем, хоть какое-то нормальное общественное пространств…
Инвест. М.Маяковская
Доход от 250 000 руб / мес 🔥
Апартаменты в «Садах Пекина», самый центр Москвы. Подойдут и чтобы жить, и чтобы сдавать: арендаторы съехали совсем недавно.
✔️ 60 м²
✔️ кухня-гостиная, спальня с гардеробной, большая ванная
✔️ открытый вид без окон напротив, солнце весь день
✔️ удачная планировка, стены переносить не нужно
✔️ ремонт под аренду, можно сразу сдавать
✔️ коммуналка как в обычной кварти…
Аренда в Москве - это отдельный квест 🙈
Коллеги, у вас так же? Арендаторы, сталкивались с таким?
Расскажите в комментариях, давайте обсудим 👇
Ольга Мажуть |Недвижимость Москвы
Москва не перестает удивлять: у метро построят стеклянную матрёшку 😳
Stone собирается строить у метро «Мнёвники» бизнес-центр в форме стеклянной матрёшки. Архитектуру уже согласовали)
Жителям «Острова» по соседству, похоже, скучать не придётся. Рядом уже есть цирк со своей необычной архитектурой, а теперь ещё и матрёшка 🪆
У меня смешанные чувства. С одной стороны, Москве нужны смелые проекты, иначе так и будем жит…
Вчера был приятный день - приемка квартиры в ЖК Twelve!
Я всегда волнуюсь, когда приезжаю на приемку. Клиенты первый раз видят свою квартиру и важно насколько их ожидания по красивым картинкам совпадут с действительностью.
Весной мы купили эту квартиру с беспроцентной рассрочкой на 2 года.
Клиенты получили ключи и могут делать ремонт, до полной оплаты. Так легче распределять бюджет многим.
Профессиональный приемщи…
❗️❗️Мы с клиентами решили продать с квартиру дешевле, чем покупали
Плюс продажа по переуступке рассрочки.
Редкий случай, когда выгода реальная! 🔥
ЖК «Шагал» Сдача конец 2028 г.
2-ЕВРО 37,2 м.
Клиенты покупали её у застройщика за 22.300.000₽, а сейчас отдают за 20.800.000₽. И отдают вместе со своей рассрочкой.
Для сравнения: у застройщика похожие квартиры в рассрочку сегодня стоят от 25.000.000₽
➡️сейчас вносит…
👍8🔥2🤩1
Showing the 12 most recent of 25 posts we hold for @pokvartiram1. 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 1 registered channel — 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.
TraVel2you.News ⚡️ @travel2youNews · 20,531 Telegram ranks this channel #10 of 72 here — alongside 71 others — read 24 September 2026
Недвижимость Москвы от Светланы Наумовой @svetlana_nedvizka_moscow · 36,912 Telegram ranks this channel #22 of 79 here — alongside 78 others — read 2 September 2026
Bezdelka - Безопасные сделки с недвижимостью, канал юриста Олеси БухтояровойR @bezdelkaBuh · 31,689 Telegram ranks this channel #32 of 93 here — alongside 92 others — read 5 September 2026
Новостройки Москвы | Home Expert @novostroykimoscow · 29,456 Telegram ranks this channel #49 of 85 here — alongside 84 others — read 8 September 2026
Клышин Алексей юрист по недвижимости @klyshin_A · 66,431 Telegram ranks this channel #65 of 87 here — alongside 86 others — read 3 September 2026
Eliseeva Realty @Eliseeva_Realty · 19,107 Telegram ranks this channel #73 of 82 here — alongside 81 others — read 1 October 2026
This channel appears in 6 seed channels' Telegram-generated recommendation lists 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ольга Мажуть | Недвижимость Москвы” (@pokvartiram1), 6,022 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/pokvartiram1.
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.