5 measurements spanning 6 days, net +26. 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 8,765–8,799 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 03:07
8,795
+14
10 Aug 2026, 12:06
8,781
+5
7 Aug 2026, 12:40
8,776
+7
6 Aug 2026, 21:15
8,769
no change
6 Aug 2026, 21:09
8,769
first reading
Engagement
29 posts held, back to 21 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 14 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
22.4%
avg views ÷ 8,795 subscribers
Avg views / post
1,970
29 posts measured
Reaction rate
0.861%
reactions ÷ views · ER floor
Posts in window
29
of 29 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. It is computed over the 27 of 29 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
29 (21 July 2026 – 11 August 2026)
Views total
57,150
Reactions total
468
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 15:56 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
468 reactions across 27 posts, in 20 distinct kinds. The most used accounts for 35.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
167
35.7%
👍
101
21.6%
❤
72
15.4%
🤣
40
8.55%
😁
27
5.77%
💯
14
2.99%
🙈
11
2.35%
👌
9
1.92%
🤯
6
1.28%
🤔
4
0.855%
🥰
3
0.641%
🌭
2
0.427%
🏆
2
0.427%
🙏
2
0.427%
🤝
2
0.427%
🫡
2
0.427%
🍓
1
0.214%
💅
1
0.214%
😢
1
0.214%
🥴
1
0.214%
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 27 of the 29 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 468reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 21 July 2026 to 11 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
4
across the posts below
Posts paid on
4
of 29 we hold a reading for · 14%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @revitblog. 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 29 most recent posts we hold for this entry, published 21 July 2026 to 11 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.
😔 БЕСПЛАТНЫЕ СЕМЕЙСТВА ВАМ ОТ VALTEC
Я отгрузил Вальтеку очередную порцию семейств. В очередной раз вы можете скачать их совершенно бесплатно и использовать в своих проектах. Я буквально чувствую, как ваши денюжки идут мимо меня.
Поэтому давайте договоримся: вы не просто скачиваете семейства, которые я заботливо собрал для вас в этой статье — https://muratovbim.pro/blog/razrabotka-bim-modelej-dlya-kompanii-valtec/ …
Саша Лапыгин вновь проводит опрос про удалёнку и фриланс в инженерных специальностях.
Уделите 10 минут и пройдите опрос, чтобы понимать динамику за последние три года.
Вот ссылка на гугл-форму: https://forms.gle/TAWEPzeTeBcWs5pb9
Опрос анонимный, сбор ответов до 6 сентября включительно. Потом будет статья с итогами.
#BIMdigest 202 — Вкалывают роботы
В этом выпуске:
— роботы на стройке;
— 3D-печать строительных конструкций;
— MCP от TestFit;
— обновление Qonic;
— 3 интересных плагина к Revit (облака точек, AI-ассистент для проверки на соответствие нормам и бесплатная конвертация CAD в Revit);
— создание типов стен (со слоями и материалами) с помощью MCP pyRevit;
— идея по удобному созданию FPW-форм для pyRevit от Эрика Фритца.
🙂 Привет, ревитчики!
На прошлой неделе два раза спрашивали похожие вопросы, поэтому написал статью об этом.
Вопрос такой: почему не суммируются прямые участки и гнутые отводы в спецификации. Разбираю эту тему.
https://muratovbim.pro/blog/revit-truby-i-gnutye-uchastki-ne-summiruyutsya-v-speczifikaczii/
У кого-то шашлыки и концерты ко дню строителя, у кого-то просмотр Колобка в кино, а у меня три с лишним часа прокрастинации и борьбы с собой, чтобы запараметризировать вот такую геометрию, а не просто отрисовать каждый типоразмер отдельным вложенным семейством.
Щас я это всё попробую соединить, и оно абсолютно точно разломается. Пойду схожу за платочками, чтобы было чем утереть ревитчиковскую слезу.
Слёзы наши некр…
Сегодня я пошёл против всего святого
потому что сознательно добавил в семейства импорты DWG.
Это было нужно для маркировочных табличек на коллекторах. Решение, конечно, так себе, но иначе эти мелкие линии просто не создать. Поэтому я пошёл на сознательный риск, ещё добавлю какой-нибудь файлик с предупреждением об этом для пользователей.
Я сразу понимал, что делать выпадающий список на все варианты сразу в семейств…
🥲 ОБНОВЛЕНИЯ РЕВИТА, АВТОКАДА, НЭВИСВОРКСА
Вышел Ревит 2026.5 — не обновляемся! ❌
Вышел Автокад 2026.1.2.
Вышел апдейт 3 на Нэвис Мэнэдж 2026.
На новый Ревит не обновляемся, остаёмся на 2026.4. Потому что в 2026.5 они обновили среду для плагинов и некоторые, а может даже и все, не запустятся, если их разработчики не внесут изменения. Кароч, будет лотерея с запуском плагинов.
Ну Пекшев-то, конечно, подсуетится, а…
👹 ИСПРАВЛЕНИЯ В РАСШИРИТЕЛЬНЫХ БАКАХ ДЛЯ ОТОПЛЕНИЯ
Я там чё-то натупил, видимо, кароч, в баках на 50 и 80 литров не было ножек, они были подвесными. Убрал их, добавил эти объемы в семейства баков на ножках. Теперь там 50, 80, 100 и 150 литров.
Обновил семейства в библиотеке котельного оборудования и в отдельной библиотеке расширительных баков.
Ссылка на статью о котельном оборудовании: https://muratovbim.pro/blog/…
🦾 СКРИПТ ДЛЯ ЗАПОЛНЕНИЯ ПАРАМЕТРОВ ИЗОЛЯЦИИ ТРУБОПРОВОДОВ
Выпустил скрипт. Он заполняет наименования, производителя, артикул для изоляции. В наименовании пишет внутренний диаметр изоляции (он не обязательно равен внешнему у трубы), а для гофрированной защитной трубы, которую тоже обычно делают изоляцией, пишет наружный диаметр изоляции.
Скрипт также попытается обработать фитинги и арматуру, но там есть проблемы с о…
#BIMdigest 201 — AI для IDS — помощь BIM-менеджеру
В этом выпуске:
— AI для быстрого создания IDS файлов на основе excel шаблона;
— Revitzto создала MCP-сервер и открыла API;
— AI для обучения ведению переговоров;
— Муратов меняет в Revit точку на запятую и наоборот;
— топ 5 обновлений Revit 2027.1 и 2027.2;
— обновление ReCap Pro 2027;
— обновление Veras 4.7;
— AI-мозг на основе Obsidian: LLM Wiki + реализация Эрика…
В Ревит АПИ есть возможность получить геометрию объектов. Если речь про трехмерные объекты, то обычно это набор солидов — сплошных тел. Вот вся та геометрия, которую рисуем в редакторе, в итоге приходит в виде солидов. Линии он тоже может получить, но обычно интересны именно солиды.
У них есть площадь поверхности и объём.
Сейчас я дописал скрипт для формирования данных на изоляцию трубопроводов. И у меня была та же…
❤5👍2💅1
Showing the 12 most recent of 29 posts we hold for @revitblog. 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 — 66,282 of 1,169,250entries 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
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
Named by 2 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.
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.
“Блог Муратова про Revit MEP” (@revitblog), 8,795 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/revitblog.
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.