Telegram RegisterThe public register of Telegram

Channel

Софт Культура

@softculture

On this record: Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

14,488subscribers

+25 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001023107104
TypeChannel
Username@softculture
Created15 January 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/softculture

Growth

14,46314,48814,475.55 August 2026 — 14,463 subscribers6 August 2026 — 14,463 subscribers6 August 2026 — 14,468 subscribers7 August 2026 — 14,470 subscribers9 August 2026 — 14,468 subscribers10 August 2026 — 14,473 subscribers11 August 2026 — 14,475 subscribers12 August 2026 — 14,481 subscribers13 August 2026 — 14,488 subscribers5 August 202613 August 2026
9 measurements spanning 7 days, net +25. 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 14,459–14,492 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 07:5414,488+7
12 Aug 2026, 04:2314,481+6
11 Aug 2026, 05:4214,475+2
10 Aug 2026, 03:3014,473+5
9 Aug 2026, 02:5114,468-2
7 Aug 2026, 23:1314,470+2
6 Aug 2026, 21:0014,468+5
6 Aug 2026, 02:2214,463no change
5 Aug 2026, 21:2414,463first reading

Engagement

8 posts held, back to 31 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.62%
avg views ÷ 14,488 subscribers
Avg views / post
1,390
8 posts measured
Reaction rate
2.12%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 12 August 2026
Posts held8 (31 July 202612 August 2026)
Views total11,154
Reactions total237
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 01:54 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

237 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 44.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10644.7%
🔥8837.1%
👎135.49%
🤩125.06%
93.80%
👍93.80%

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 8 of the 8 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 237reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 31 July 2026 to 12 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.

Recent posts

12 Aug 2026, 13:38 UTC624 views9 reactionsread 13 August 2026
Photo

На карточках — бюро OMA и три проекта, в которых архитектура не спорит с городом, а вырастает из него. Библиотека в Сиэтле подсказывает вход через рисунок пешеходных улиц вокруг себя. Новый музей в Нью-Йорке ведёт диалог с соседним зданием SANAA и делает городской вид частью интерьера, а датский архитектурный центр в Копенгагене своей пиксельной оболочкой связывает сразу две площади и набережную в одну композицию. К

6🔥21

11 Aug 2026, 11:05 UTC≈1,020 views27 reactionsread 13 August 2026
Photo

Сегодня расслабляемся и смотрим на шесть красивых фасадов. Чур не думать о слоне в комнате как их смоделировать — иначе расслабление не получится. Если все-таки задумались: можно записаться на наш курс «Фасады в Revit: концептуальное моделирование», где мы рассказываем, как разбираться со сложными конструкциями.

16🔥82👍1

10 Aug 2026, 12:26 UTC≈1,290 views33 reactionsread 13 August 2026
Photo

Собрали семь исследований, созданных с использованием геосервисов — для всех, кто любит листать карты. → Water Shapes Earth Ландшафты, сформированные силой воды — русла рек, берега морей и озер, снятые со спутника. → Radio Aporee Глобальная звуковая карта: полевые записи со всего мира, привязанные к месту записи. → Google Earth Timelapse 15 миллионов спутниковых снимков, собранных в машину времени: как менялась по

23🔥8👍2

7 Aug 2026, 13:00 UTC≈1,580 views54 reactionsread 13 August 2026
Photo

Теперь на нашем сайте можно найти компанию мечты — или коллегу в свой проект ⚡️ У нас появилась страница вакансий — там мы будем собирать позиции, связанные с архитектурой, дизайном интерьера и урбанистикой. → Если вы ищете вакансию, мы сделали удобную фильтрацию по направлению, локации, формату и занятости — можно выбрать удаленку или офис, визуализацию или интерьер, Москву или Сочи. Мы изучаем каждую вакансию и с

🔥36🤩873

5 Aug 2026, 16:07 UTC≈1,630 views34 reactionsread 13 August 2026
Photo

Переходим к по-настоящему важным новостям: мы нашли инструкцию, как измерить круассан, которая в 2020 году выиграла приз конкурса Drawing Matter Writing Prize в категории короткого рассказа. Заходите изучить текст на drawing matter — а если будете измерять круассаны, делитесь, что получится.

🔥1911🤩4

4 Aug 2026, 12:42 UTC≈1,720 views47 reactionsread 13 August 2026
Photo

Собрали подборку генераций Кати Пестряковой, преподавателя наших курсов по нейросетям — чтобы посмотреть, как с архитектурными изображениями сегодня справляется искуственный интеллект с опытным водителем. Чтобы на визуализации случилась магия, важно грамотно управлять процессом и выстроить удобный пайплайн работы. С этим помогаем на курсе «Нейросети. Прототипирование архитектуры»: от подготовки исходного изображения

20👎12🔥9👍42

3 Aug 2026, 14:18 UTC≈1,640 views16 reactionsread 12 August 2026
Photo

Мы собираем отзывы у студентов после каждого курса, но давно не делились их историями в соцсетях. Исправляемся: собрали на карточках рассказ о впечатлениях Дарьи Ещиной — руководителя проектного отдела бюро anidesign и выпускницы нашего курса «Управление проектом: от задачи до сдачи». Ни на что не намекаем, но новый этого поток курса начнется уже 22 августа. Все подробности — тут!

9🔥4👍21

31 Jul 2026, 14:50 UTC≈1,650 views17 reactionsread 10 August 2026
Photo

При работе с проектами реконструкции важно ничего не упустить — и здесь в игру вступает Revit: помогает увидеть, что было раньше, что планируется в будущем, что можно снести, что нужно сохранить. А еще — подготовить документацию, которая все это учитывает. Как перенести работу над проектами реконструкции в BIM, чтобы использовать Revit от облака точек до готовых ведомостей, рассказываем на курсе «Revit для проектов

14🔥2👎1

Showing the 8 most recent of 8 posts we hold for @softculture. 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.

Posts edited after publishing

@softculture edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
11 August 2026
Most recent edit
11 August 2026

Citation-graph rank

Citation-graph rank — 40,173 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

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 5 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Софт Культура” (@softculture), 14,488 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/softculture.

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.