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 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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
31 measurements spanning 43 days, net -27. 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 11,542–11,584 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
18 Sept 2026, 15:18
11,550
+1
16 Sept 2026, 10:41
11,549
+2
14 Sept 2026, 18:54
11,547
-4
13 Sept 2026, 07:56
11,551
-6
11 Sept 2026, 12:17
11,557
+10
8 Sept 2026, 20:40
11,547
-1
5 Sept 2026, 10:17
11,548
-2
3 Sept 2026, 10:02
11,550
-8
2 Sept 2026, 06:34
11,558
-2
1 Sept 2026, 03:38
11,560
-4
31 Aug 2026, 05:42
11,564
-3
30 Aug 2026, 04:16
11,567
+1
29 Aug 2026, 01:43
11,566
-3
28 Aug 2026, 02:14
11,569
-1
26 Aug 2026, 23:14
11,570
-1
26 Aug 2026, 01:32
11,571
-4
23 Aug 2026, 23:43
11,575
+2
22 Aug 2026, 05:18
11,573
+5
20 Aug 2026, 21:33
11,568
+9
19 Aug 2026, 20:37
11,559
first reading
Engagement
27 posts held, back to 16 June 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 45 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.58%
avg views ÷ 11,550 subscribers
Avg views / post
645
1 post measured
Reaction rate
2.02%
reactions ÷ views · ER floor
Posts in window
1
of 27 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 2 September 2026
Posts held
27 (16 June 2026 – 2 September 2026)
Views total
645
Reactions total
13
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 23:42 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
51s
Average length
51s
Measured directly from 1 video 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
561 reactions across 26 posts, in 6 distinct kinds. The most used accounts for 25.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
144
25.7%
🔥
139
24.8%
👍
127
22.6%
💯
82
14.6%
👏
64
11.4%
❤🔥
5
0.891%
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 26 of the 27 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 561 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 16 June 2026 to 2 September 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
4
of 27 we hold a reading for · 15%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bkrealtor. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 27 most recent posts we hold for this entry, published 16 June 2026 to 2 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Цикл лекций по элитной недвижимости
На протяжении своей жизни и брокерской карьеры, я люблю собирать истории, интересные факты, редкую информацию, которую невозможно найти в интернете и с помощью ИИ.
В век быстрого поиска информации на первый план выходит опыт, насмотренность, параллели, необычные выводы, которые невозможно найти.
Многие знают, что мы за последние 7 лет сняли в формате видео более 100 элитных домо…
🧐ВАМ ВСЁ ЛИДОВ НЕ ХВАТАЕТ?
Позлорадствую сегодня (кому то может быть очень обидно)🤣
Как же мне доставляет удовольствие смотреть на то, как бьются в агонии новостроечные агентства, которые выросли как грибы после пандемии в 2020 году. Схема "Купил лидов - передал в обработку мартышкам - получил комиссию" накрылась медным тазом. Сальдо теперь у таких АН строго отрицательное последние полгода и ты постоянно, то и дело…
Мой единомышленник Саша Дьяченко написал очень хороший пост для директоров АН, кто еще до сих пор верит в лидогенерацию и классическую модель агентства новостроек.
В этом посте есть и моя боль. Я тоже проходил этот путь и крайне болезненно местами.
И многие руководители современных агентств учились на моих обзорах и курсах. Когда сейчас они спрашивают, в чем сила и куда топить, я всегда говорю: Экспертиза и обучение…
КОРПОРАТИВНЫЕ ЮРИСТЫ – ЭТО ТРЕШ
Мне интересно, сколько людей сидит в тюрьме, которые платили так называемым «корпоративным юристам»? Практика многолетней работы показывает, что в корпорациях чаще всего «растворяются» самые бездарные люди с дипломом о юридическом образовании.
Юрист набирается практики только в малом и среднем бизнесе. Почему? Потому что его заставляют разбираться очень быстро в 5-6 видах права. Никт…
Продажа элитных и редких объектов в Москве
В последние недели приходит все больше клиентов с редкими лотами на продажу и поэтому в команду ищу 2-3 брокеров, кто умеет работать от собственника.
Важно, чтобы было соответствие ценностей и модели работы. Это не работа в АН, это работа в партнерстве.
Напишите мне, если вы умеете и разделяете:
- Работаете по эксклюзивному договору за 4-5 процентов
- Понимаете систему па…
Почему ваша элитная квартира не продается. Блок 3: Маркетинговый план продажи объекта
Мы продолжаем серию постов про эффективную продажу объекта недвижимости) сегодня речь пойдет про маркетинг.
По классике собственник использует примерно 10-12% потенциала рынка. Выставил на циан\авито и ждет.
Такой маленький охват дает довольно узкий инструментарий рекламы для физ лица.
Например, когда мы берём объект в работу, то …
И ставьте огонь, если пост был полезный, делитесь с друзьями, кто сейчас занимается продажей своей квартиры, а уже завтра напишу про маркетинговый план продажи объекта и почему брокеры ленятся и не хотят его использовать по максимуму.
Почему ваша элитная квартира не продается? Часть 2: Упаковка объекта
Вчерашний пост вызвал много личных сообщений и реакций и сегодня мы переходим к следующему этапу, на котором непрофессионалы начинают сыпаться. Это упаковка объекта.
Ведь то, как представлен ваш объект на витрине в агрегаторах и социальных сетях, а также на территории жк, зависят сроки его продажи и цена. Да-да, плохая упаковка ведет к плохой кон…
Поэтому будьте готовы каким-то образом все таки правильно оценить объект, проработать маркетинг, как минимум 10-15 каналов(прикиньте, есть не только Циан), а также научиться правильно принимать звонки, вести учет звонков, прозванивать входящие Лиды и приглашать на показы, в потом еще эффективно их проводить, а не просто ходить по квартире за покупателем) ну и останется еще сделку провести.
Про эти следующие 5 этапов …
Почему ваша элитная квартира не продается. Блок 1. Оценка и стратегия продажи
В последние недели увеличился поток заявок на продажу высокобюджетных объектов.
Поэтому решил написать серию постов для собственников элитной недвижимости на тему продажи объекта с бюджетом от 100+ млн рублей. Задача сложная, особенно на таком рынке.
Это важный пост. Прошу сразу не судить строго, а просто подумать и посмотреть со стороны: …
Маркетинг будущего в недвижимости
Много лет говорю брокерам на своем обучении, что современный маркетинг заключается не в умении сгенерировать больше клиентов, а в умении с высокой конверсии закрывать сделки.
Один брокер будет откручивать огромные бюджеты, но так и не увидит результат. Другой с первого показа продает квартиру или закрывает договор с продавцом. Суть в уровне экспертизы. Но сейчас и этого мало.
Сего…
❤9👏7👍5
Showing the 12 most recent of 27 posts we hold for @bkrealtor. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
Whitewill | Недвижимость Москвы и Санкт-Петербурга @whitewillestate · 27,161 Telegram ranks this channel #6 of 79 here — alongside 78 others — read 11 September 2026
Новостройки Москвы | Home Expert @novostroykimoscow · 29,281 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 8 September 2026
Oleg Torbosov @TorbosovLife · 107,515 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 15 August 2026
ТРАЙБ.Недвижимость @tribe_russia · 42,880 Telegram ranks this channel #9 of 87 here — alongside 86 others — read 11 September 2026
Недвижимость Москвы от Светланы Наумовой @svetlana_nedvizka_moscow · 36,034 Telegram ranks this channel #9 of 79 here — alongside 78 others — read 2 September 2026
#СтартПродаж - Недвижимость Москвы и Подмосковья @startyprodazh · 38,076 Telegram ranks this channel #15 of 83 here — alongside 82 others — read 31 August 2026
Level Group @levelru · 25,378 Telegram ranks this channel #16 of 84 here — alongside 83 others — read 13 September 2026
📍Недвижимость с Харыбиным, новостройки, пассивный доход от аренды квартир. @Kharyb · 45,890 Telegram ranks this channel #17 of 85 here — alongside 84 others — read 27 August 2026
TrendAgent Москва @trendagent_msk · 23,130 Telegram ranks this channel #18 of 82 here — alongside 81 others — read 19 September 2026
Pro недвижимость. Smarent @pro_smarent · 54,380 Telegram ranks this channel #26 of 85 here — alongside 84 others — read 23 August 2026
Василий Еговцев @egovtsev_vasilii · 32,035 Telegram ranks this channel #31 of 91 here — alongside 90 others — read 5 September 2026
Смирнов Недвижимость | Vysotsky Estate @ogo_nedviga · 80,905 Telegram ranks this channel #35 of 92 here — alongside 91 others — read 18 August 2026
Novostroyman. Москва. Недвижимость @novostroyman · 48,467 Telegram ranks this channel #39 of 86 here — alongside 85 others — read 26 August 2026
Или Или - Сравнение Обзоры Новостроек @iliilitop · 31,022 Telegram ranks this channel #40 of 85 here — alongside 84 others — read 6 September 2026
Подешевело МСК @podeshevelo_msk · 25,277 Telegram ranks this channel #41 of 85 here — alongside 84 others — read 14 September 2026
Движ про недвиж @dvizhpronedvizh · 69,804 Telegram ranks this channel #41 of 86 here — alongside 85 others — read 20 August 2026
Максим Левченко @levchenko_realty · 25,058 Telegram ranks this channel #43 of 86 here — alongside 85 others — read 14 September 2026
Влюблённые в недвижимость @estatelove · 23,751 Telegram ranks this channel #45 of 87 here — alongside 86 others — read 17 September 2026
Новострой-М. Москва и МО. Новостройки @NovostroyM · 23,280 Telegram ranks this channel #50 of 84 here — alongside 83 others — read 18 September 2026
Недвижимость инсайды @propertyinsider · 115,212 Telegram ranks this channel #57 of 93 here — alongside 92 others — read 14 August 2026
Громова больше чем про деньги @anna_finance_advanced · 26,072 Telegram ranks this channel #59 of 89 here — alongside 88 others — read 13 September 2026
Александр Попов @apopovonline · 26,297 Telegram ranks this channel #61 of 81 here — alongside 80 others — read 12 September 2026
Клышин Алексей юрист по недвижимости @klyshin_A · 63,673 Telegram ranks this channel #61 of 87 here — alongside 86 others — read 3 September 2026
R4S | Доходная торговая недвижимость @r4s_official · 31,071 Telegram ranks this channel #68 of 83 here — alongside 82 others — read 4 September 2026
This channel appears in 24 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Александр Кузин” (@bkrealtor), 11,550 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/bkrealtor.
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.