Telegram RegisterThe public register of Telegram

Channel

Vysotskiy consulting

@bimvc

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

5,718subscribers

+20 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001075147927
TypeChannel
Username@bimvc
Created10 January 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/bimvc

Growth

5,6985,7185,7085 August 2026 — 5,698 subscribers6 August 2026 — 5,698 subscribers9 August 2026 — 5,702 subscribers12 August 2026 — 5,718 subscribers5 August 202612 August 2026
4 measurements spanning 7 days, net +20. 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 5,695–5,721 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 11:235,718+16
9 Aug 2026, 11:525,702+4
6 Aug 2026, 03:335,698no change
5 Aug 2026, 23:165,698first reading

Engagement

11 posts held, back to 24 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.9%
avg views ÷ 5,718 subscribers
Avg views / post
1,660
2 posts measured
Reaction rate
1.54%
reactions ÷ views · ER floor
Posts in window
2
of 11 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
WindowRolling 30 days · latest post in window 4 August 2026
Posts held11 (24 April 20264 August 2026)
Views total3,310
Reactions total51
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:57 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.

Reaction mix

293 reactions across 11 posts, in 10 distinct kinds. The most used accounts for 41.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥12241.6%
👍7826.6%
7124.2%
❤‍🔥72.39%
💯41.37%
🤩31.02%
🤯31.02%
20.683%
😍20.683%
🤬10.341%

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 11 of the 11 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 293reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 24 April 2026 to 4 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
1
across the posts below
Posts paid on
1
of 11 we hold a reading for · 9%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bimvc. 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 11 most recent posts we hold for this entry, published 24 April 2026 to 4 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.

Recent posts

4 Aug 2026, 07:38 UTC≈1,060 views17 reactionsread 12 August 2026
Photo

06 августа представим Стандарт по работе в ModelStudio CS и CADLib Последний год команда Vysotskiy consulting разрабатывала Стандарт для СиСофт Девелопмент по работе в продуктах семейства ModelStudio CS и CADLib. Это одна из самых интересных, больших и сложных консалтинговых задач, которую мы когда-либо решали. В четверг вместе с командой СиСофт Девелопмент мы представим документ, а также расскажем про его логику,

🔥10👍52

20 Jul 2026, 06:04 UTC≈2,250 views34 reactionsread 12 August 2026
Photo

Новый видеокурс «BimStep. Набор плагинов "Общие" для проектировщиков всех разделов» На bim.vc вышел видеокурс о возможностях плагинов BimStep для быстрого выполнения рутинных задач в Revit: копирование, переименование, перенос параметров, настройка фильтров, выбор элементов, печать, экспорт и другое. Материалы курса будут полезны проектировщикам всех разделов, а также начинающим специалистам, которые хотят оптимизи

17👍11🔥51

8 Jul 2026, 06:37 UTC≈2,400 views76 reactionsread 12 August 2026
Photo

Грязь, препятствия и BIM: командой спортсменов прошли «Гонку Героев» В 2025 году мы вместе с коллегами из ВИЗАРДСОФТ решили подготовиться к «Гонке Героев Urban». Собрали команду, начали тренироваться и пробежали первый старт. Но во время подготовки стало понятно, что это не просто подготовка к одному мероприятию. За год вокруг тренировок сформировалось небольшое спортивное сообщество из специалистов BIM/ТИМ-отрасли

🔥5114❤‍🔥7🤯31

2 Jul 2026, 13:12 UTC≈2,360 views38 reactionsread 12 August 2026
Photo

История успеха Ивана Смирнова: как студент третьего курса стал проектировщиком ЭOM и начал работать над крупными BIM-проектами Мы продолжает рубрику историй успеха пользователей bim.vc. В этой расскажем про Ивана Смирнова — студента третьего курса, проектировщика ЭОМ, СС, АСУЗ. Особенность кейса — он не только о пользе платформы, но и в целом про эффективный подход для старта карьеры. Иван не претендует на звание о

👍20🔥107🤬1

Signed Ksusha

30 Jun 2026, 08:50 UTC≈2,310 views19 reactionsread 12 August 2026
Photo

Научим работать с IFC для обмена данными, АГР, экспертизы и других задач — уже через неделю 06 июля запускаем шестнадцатый поток курса по IFC. В ходе двухнедельного обучения расскажем как: ➖читать данные в формате .ifc и использовать этот навык для решения практических задач; ➖координировать модели между разным ПО; ➖экспортировать модель и параметры без потери данных; ➖адаптировать объекты под требования экспертиз и

11🔥5💯3

Signed Ksusha

29 Jun 2026, 11:52 UTC≈3,890 views21 reactionsread 12 August 2026
Photo

Как расти инженеру на сокращающемся рынке? Глубокий вебинар от Vysotskiy consulting и Университета Актион — 30 июня, 11:00 Обычно при разговоре про развитие и рост современного специалиста рассматриваются прикладные знания (BIM, IFC. программирование...) и так называемые soft-скилы/универсальные компетенции (переговоры, координация и пр.). На вебинаре «Как инженеру адаптироваться к современным реалиям и остаться во

7🔥7🤩3👍2😍2

25 May 2026, 07:06 UTC≈3,180 views13 reactionsread 12 August 2026
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Обновили шаблоны с треками на bim.vc При настройке статистики по сдаче тестов и экзаменов не нужно вручную собирать наборы для каждого отдела. Достаточно выбрать готовый трек — система автоматически добавит все необходимые тесты и экзамены. Мы обновили структуру шаблонов и добавили последние тесты и экзамены, которые выходили на bim.vc. Шаблоны помогают: — быстрее подключать отделы к тестированию; — избежать ручно

👍102🔥1

Signed Ksusha

21 May 2026, 07:24 UTC≈3,170 views24 reactionsread 12 August 2026
Photo

«Эффективная работа в IFC: координация моделей, обмен информацией, прохождение экспертизы» в июле Открываем набор на новый поток курса по IFC (Industry Foundation Classes) — основному стандарту обмена данными в BIM. В ходе двухнедельного курса научим: ➖читать данные в формате .ifc и использовать этот навык для решения практических задач; ➖координировать модели между разным ПО; ➖экспортировать модель и параметры без

🔥137👍3💯1

Signed Ksusha

20 May 2026, 13:33 UTC≈2,180 views16 reactions1 Starread 12 August 2026
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Ускорили работу Signy Group с помощью нейросетей В данной истории успеха команда Vysotskiy consulting делится опытом системного внедрения инструментов искусственного интеллекта в рабочие процессы Signy Group. Расскажем о том, как удалось преодолеть барьеры в освоении новых технологий, запустить системное применение ИИ на всех уровнях и начать получать ощутимую отдачу уже в процессе обучения. Если вы тоже хотите за

👍8🔥62

Signed Ksusha

27 Apr 2026, 15:22 UTC≈3,490 views16 reactionsread 12 August 2026
Photo

ЧГК и BIM-митап: активности вечером после БИМАК БИМАК — не только классная масштабная конференция от СПбГАСУ, о чём мы писали на прошлой неделе, но и возможность классно провести вечер в кругу единомышленников. Это стало возможным благодаря организации партнерами и друзьями ВУЗа вечерних мероприятий. 28 апреля: Что? Где? Когда? от Насти Кирюшиной Интеллектуальная командная викторина, на которой нужно отвечать на в

🔥9👍7

Signed Ksusha

24 Apr 2026, 07:03 UTC≈2,900 views19 reactionsread 12 August 2026
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Примем участие в БИМАК 27-29 апреля: проведем секции по ИИ и образованию, сделаем доклады В рамках партнерства VC и СПбГАСУ примем активное участие в мероприятии БИМАК — масштабной конференции, которую университет проводит уже в девятый раз. Александр Высоцкий вместе с представителями ГАСУ проведет секции по искусственному интеллекту (28 апреля) и образованию (29 апреля). Также Александр сделает три доклада: — Мод

👍12🔥52

Signed Ksusha

Showing the 11 most recent of 11 posts we hold for @bimvc. 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 — 41,384 of 1,160,990entries 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

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 6 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Vysotskiy consulting” (@bimvc), 5,718 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/bimvc.

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.