Telegram RegisterThe public register of Telegram

Channel

Ассоциация переводческих компаний

@apkrussia

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

377subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001659872233
TypeChannel
Username@apkrussia
DescriptionИнформационный канал Ассоциации переводческих компаний России (АПК)
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/apkrussia

Growth

3777 Aug 2026, 23:01 — 377 subscribers8 Aug 2026, 06:17 — 377 subscribers7 Aug 2026, 23:018 Aug 2026, 06:17
2 measurements taken within a single day. 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 376–378 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 06:17377no change
7 Aug 2026, 23:01377first reading

Engagement

16 posts held, back to 26 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
128.9%
avg views ÷ 377 subscribers
Avg views / post
486
1 post measured
Reaction rate
1.65%
reactions ÷ views · ER floor
Posts in window
1
of 16 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 28 July 2026
Posts held16 (26 May 202628 July 2026)
Views total486
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:17 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

Photos
62
Videos
2
Links
81

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

119 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 53.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6453.8%
3126.1%
👍1512.6%
21.68%
🤩21.68%
🥰21.68%
🎉10.84%
👏10.84%
😁10.84%

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 14 of the 16 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 119reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 26 May 2026 to 28 July 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

28 Jul 2026, 09:01 UTC486 views8 reactionsread 8 August 2026

Ассоциация переводческих компаний проводит отраслевой опрос Сейчас АПК работает над рейтингом переводческих компаний за 2025 год и одновременно готовит более широкий аналитический обзор рынка. Нам важно мнение представителей отрасли, чтобы дополнить открытые статистические показатели практической информацией о текущем состоянии рынка и происходящих в нем изменениях. Приглашаем всех представителей отрасли принять уч

4🔥3👍1

14 Jul 2026, 09:00 UTC154 views1 reactionsread 8 August 2026

Заканчивается сбор данных для рейтинга 2026 года. Напоминаем, что если вы хотите отказаться от участия в рейтинге, а также проверить, приняты ли данные вашего бренда к учету или уточнить его состав, лучше заранее написать нам на rating@atcru.org. Подробнее ознакомиться с методологией рейтинга можно на сайте Ассоциации – https://atcru.org/rating/

🔥1

23 Jun 2026, 14:33 UTC237 views8 reactionsread 8 August 2026

60% американских потребителей признаются, что упоминание ИИ в коммуникациях компаний вызывает у них отторжение. Парадокс 2026 года: бизнес вкладывается в ИИ как никогда раньше, а аудитория устает от ИИ-хайпа как никогда раньше. Почему оптимизация под ChatGPT не спасет плохой контент и как не доэкономиться при помощи ИИ до пустой траты денег и времени — в новой статье от наших коллег из компании Амберит.

🔥62

18 Jun 2026, 10:08 UTC505 views6 reactionsread 8 August 2026
Photo

Ассоциация переводческих компаний начинает сбор данных для формирования рейтинга АПК 2026 года. Как и раньше, рейтинг составляется на основе открытых данных (за 2025 год) по российским компаниям, работающим в сфере перевода, и учитывает показатели выручки, рентабельности и среднесписочной численности персонала. Методология остается такой же, как и в прошлом году. Ассоциация по-прежнему собирает данные самостоятельн

👍4🔥2

17 Jun 2026, 11:54 UTC208 views3 reactionsread 8 August 2026

Как готовить переводчиков к реальной работе в условиях стремительного развития технологий? Интересный пример такого взаимодействия представили компании PROMT и АКМ-Вест. В течение учебного года студенты нескольких российских вузов изучали отечественную платформу PROMT Translation Factory, использовали ее в учебном процессе и во время производственной практики, работая над реальными переводческими проектами. Для отр

🔥21

16 Jun 2026, 09:21 UTC195 views6 reactionsread 8 August 2026

Продолжаем рассказывать об инициативах членов АПК, направленных на поддержку и развитие будущих переводчиков. Компания Janus Worldwide подвела итоги очередного конкурса студенческих переводов. В этом году конкурс стал самым масштабным за всю историю проведения: участие приняли 70 студентов из 17 вузов, представлено более 120 конкурсных работ. Работы оценивали специалисты разных подразделений компании — от отделов,

🔥4👍2

15 Jun 2026, 09:22 UTC154 views10 reactionsread 8 August 2026

Продолжаем знакомить вас с кандидатами на премию АПК. Светлана Светова и компания «Т-Сервис» выдвигают в номинации «Образование» Марию Степанову — кандидата педагогических наук, доцента МГИМО, переводчика-практика и одного из наиболее активных организаторов образовательных инициатив в переводческой отрасли. На протяжении многих лет Мария последовательно выстраивает взаимодействие между вузами и профессиональным соо

👍54😁1

11 Jun 2026, 17:36 UTC204 views24 reactionsread 8 August 2026
Photo

На прошлой неделе член Ассоциации переводческих компаний — переводческая компания Литерра — отпраздновала свое 20-летие. За эти два десятка лет компания прошла огромный путь: от небольшого бюро до крупного, стабильного игрока на рынке переводческих услуг, который занимает одно из лидирующих мест в отрасли. В 2026 году компания вновь вошла в международные рейтинги Slator и CSA, попав в категорию бутиковых лингвистиче

🔥184🎉1🥰1

5 Jun 2026, 14:50 UTC250 views5 reactionsread 8 August 2026

На днях СЕО компании "Аватера" Алексей Шестериков в прямом эфире на Радио Медиаметрикс обсудил новые реалии в бизнесе, экономике и стране в целом. Также много говорили о переводческой отрасли, ее трансформации и вызовах. Эфир получился глубоким и познавательным, интервьюером была Екатерина Гончарова, основатель медиа-агентства, ТВ ведущая, автор ТВ передачи "Культура предпринимательства", психолог, коуч. "Дело ЖИЗНИ

🔥32

4 Jun 2026, 09:11 UTC253 views10 reactionsread 8 August 2026

В рамках субботней конференции в МИСИС состоялся интересный круглый стол под модерацией Арсена Лазурского (МГЛУ), посвященный рискам и возможностям использования больших языковых моделей (LLM) в подготовке переводчиков. На наш взгляд, удачный выбор модератора и сильный состав участников сделали дискуссию по-настоящему содержательной. Разговор очень быстро вышел за рамки исключительно образовательной повестки и затро

🔥5👍3👏1🥰1

Showing the 12 most recent of 16 posts we hold for @apkrussia. 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.

Citation-graph rank

Citation-graph rank — 144,689 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 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.

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.

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

“Ассоциация переводческих компаний” (@apkrussia), 377 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/apkrussia.

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.