5 measurements spanning 6 days, net -5. 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 1,908–1,917 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 13:18
1,909
-2
10 Aug 2026, 19:14
1,911
-5
8 Aug 2026, 05:27
1,916
+2
7 Aug 2026, 12:02
1,914
no change
7 Aug 2026, 11:58
1,914
first reading
Engagement
13 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
9.27%
avg views ÷ 1,909 subscribers
Avg views / post
177
3 posts measured
Reaction rate
6.59%
reactions ÷ views · ER floor
Posts in window
3
of 13 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 6 August 2026
Posts held
13 (16 June 2026 – 6 August 2026)
Views total
531
Reactions total
35
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:05 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
16m 05s
Average length
2m 18s
Measured directly from 7 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
172 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 39.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
68
39.5%
❤🔥
60
34.9%
❤
25
14.5%
👍
12
6.98%
😍
7
4.07%
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 13 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 172reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 16 June 2026 to 6 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.
Telegram Stars
Stars received
10
across the posts below
Posts paid on
1
of 13 we hold a reading for · 8%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @connectagents. 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 13 most recent posts we hold for this entry, published 16 June 2026 to 6 August 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.
🔹Архбюро | НИиПИ Спецреставрация
Теме редевелопмента и работы с исторической средой в ближайшее время в проекте будет уделено особое внимание.
Через неделю с участниками клуба побываем в гостях у архитектурного бюро «Спецреставрация». Компания специализируется на сохранении и приспособлении памятников архитектуры и объектов культурного наследия к современной жизни.
Среди работ: Дом Радио, Красный гвоздильщик, Особ…
🔹 Avant | Степан Липгарт
Это фрагменты нашей октябрьской прогулки по строящемуся Аванту - об архитектурной истории места и о том, как она продолжается в новой архитектуре.
Такие брокер-туры с архитекторами я проводила в Питере прошлой осенью и продолжила этот формат в московских урбан-турах. До сих пор вам почти ничего не показала) Исправляю 👌
За Авантом любопытно наблюдать в динамике. Как отметил Степан - во врем…
Сегодня с агентами моего клуба посетили Мельцер. Вместо запланированного часа тур продлился два с половиной. Много обсудили вопросов, в том числе острых. Текущие работы, устранение последствий долгого простоя, сроки сдачи.
Я ждала эту встречу. У меня с Мельцером особые отношения) Никому не навязываю.
Рада, что стройка ожила и накопившиеся проблемные вопросы последовательно решаются. Рынку нужно время, чтобы отслоил…
🔥Новая срежессированная история by Марина Бабян)
Можно долго рассказывать, как это было/будет, но эту энергию лучше почувствовать ❤️🔥
Следующая московская серия 27-30 июля 👌 Еще жарче, ярче и насыщеннее!
#охчтобыло
#охчтобудет
🫶 КОННЕКТ | Петербург-Москва
Брокер-туры в Петербурге
Питер остается основным городом проекта, несмотря на то что сейчас много внимания Москве, как новому направлению.
Продолжаем посещать стройки и изучать объекты.
В июле посетим:
🔹Респект
🔹Мельцер Холл
🔹Лисино
🔹Ранта Резиденс
🔹Моменты.Репино
🔹Таленто
🔹Avant
🔸И продолжим знакомиться с петербургскими архитекторами.
Брокер-туры проводятся для участников клуба «КОННЕКТ». Приглашаю.
Цена среды
В анонсе выше я упоминала, что урбан-туры теперь тематические. Четыре дня мы изучали московскую практику создания среды жилых комплексов.
Финал урбан-тура - красивое и содержательное подведение итогов увиденного и услышанного. В самом френдли пространстве медиа-проекта «АрхитектурНО» мы собрались, чтобы обсудить:
• что на самом деле можно назвать качественной средой, и как брокеру отличить ее от маркети…
Среда.
Нет, не та среда, которая идет после вторника. А та самая девелоперская среда, что же это.
Вот застройщик думает, что он сделал двор без машин и поставил модные авторские лавочки и создал среду.
Среда — это всё, что между дверью квартиры и городом: путь домой, двор, первые этажи, свет, тишина, сценарии, которые проект разрешает или запрещает. Ключевое — не перечень объектов (фонтан, амфитеатр, лавочка), а ка…
👌Коннект с Москвой снова случился.
Про приключения питерских агентов в Москве, пожалуй, соберу мини-сериал)
И есть один нюанс, еще одна побочка. Я понятия не имею как остановиться 🫠 И в прошлый, и в этот раз по окончании тура слышу от ребят фразу - «мы же все самое основное посмотрели»... Далеко не все)
Московский девелопмент настолько многогранен для изучения. У проекта все больше друзей в Москве, и столько класс…
Стартуем в понедельник!)
На очень питерском фоне объявлю, что группа в Москву набрана 🎉. Обязательно поделимся с вами настроением наших московских приключений!
Несколько человек спрашивали про тур на другие даты.
С августа - Казань, Калининград, Екатеринбург. Думаю добавить еще одну поездку в Москву в конце июля.
❓Есть желающие? Напишите в комментариях или в личку @marina_babyan. Если группа соберется в ближайшие…
Накануне старта тура подраскрою еще карты из программы)
Упоминала, что в начале набора группы анонсировала участникам прогулку с архитектором проекта.
Так вот — их будет четыре!
🔹ATRIUM
🔹Генпро
🔹Меганом
🔹Бюро Сергея Скуратова
И знаете, что важно. Говорить мы будем совсем не только про красивые фасады. В первую очередь - про создание качественной среды для жизни.
Разберём с архитекторами два крупных мастер-плана …
Когда я говорю, что программа урбан-тура модернизирована, речь не только об обновлении списка объектов и спикеров.
В этот раз к нам присоединятся практикующие московские брокеры. Это возможность кулуарно узнать, как устроен столичный рынок недвижимости, как застройщики взаимодействуют с агентским сообществом.
Скоро объявлю имя брокера-спикеры финального паблик-тока) Большинство агентов ее хорошо знают 👌
🔥9❤🔥4
Signed Марина Бабян
Showing the 12 most recent of 13 posts we hold for @connectagents. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 408,834 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“КОННЕКТ | Петербург - Москва” (@connectagents), 1,909 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/connectagents.
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.
