This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
4 measurements spanning 6 days, net -2. 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 4,995–4,998 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 09:35
4,995
-3
10 Aug 2026, 02:21
4,998
+1
7 Aug 2026, 01:30
4,997
no change
7 Aug 2026, 01:22
4,997
first reading
Engagement
22 posts held, back to 16 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 4,995 subscribers
Avg views / post
508
21 posts measured
Reaction rate
1.15%
reactions ÷ views · ER floor
Posts in window
21
of 22 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 14 of 21 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 10 August 2026
Posts held
22 (16 July 2026 – 10 August 2026)
Views total
10,664
Reactions total
73
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:59 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
3m 48s
Average length
1m 16s
Measured directly from 3 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
79 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 38.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
30
38.0%
👍
24
30.4%
🔥
19
24.1%
🥰
5
6.33%
🤩
1
1.27%
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 15 of the 22 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 79reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 16 July 2026 to 10 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.
🆕 Директор по маркетингу / CMO
💼 Российская IT / B2B SaaS-компания
📍 Москва / гибрид / удалённо
✅ Задачи:
• Построить систему Demand Generation и Revenue Marketing с фокусом на рост выручки
• Сформировать маркетинговую стратегию и управлять полной воронкой от привлечения лидов до сделок
• Развивать продуктовый маркетинг и позиционирование компании
• Совместно с коммерческой командой повышать эффективность воронки пр…
Друзья, всем привет!
Поделюсь сразу двумя вакансиями для сильных коммерческих директоров 👇
Сейчас ищут двух коммерческих директоров:
1️⃣ Москва — компания по продаже электронных компонентов, оборот 5 млрд ₽. Основные заказчики работают в сфере ГОЗ, компания работает по 275-ФЗ.
2️⃣ ЦФО — крупный производитель сельскохозяйственной техники с оборотом 12 млрд ₽.
Если среди ваших коллег и знакомых есть подходящие канд…
Всем привет 👋 Дорогие друзья, с 10 по 16 августа я буду в отпуске (и слава богу, что он есть)
А вот дальше с 17 августа есть пару окошек для консультации 💖
Пишите (хотя ТГ иногда барахлит😭😭😭)
🙂🙂🙂🙂🙂
Образование, практика и инициатива: в Президентской академии обсудили формулу успешной карьеры
Пленарная сессия в рамках студенческого форума «Точка диалога: Траектория успеха» объединила более 50 студентов, представителей Академии, других вузов и экспертов.
Участники обсудили, как уже во время учебы выстроить успешную карьерную траекторию, какие компетенции сегодня востребованы работодателями, что важнее — д…
🙂🙂🙂🙂🙂
Равные условия для студентов Академии!
Уже более полугода руководители Центров карьеры филиальной сети Президентской академии проходят комплексную программу обучения, направленную на развитие единой карьерной экосистемы Академии.
Очередным этапом программы стал модуль по карьерному консультированию студентов:
🙂 участники разобрали структуру карьерной консультации, работу с резюме, подготовку к собеседованию, …
🙂🙂🙂🙂🙂#ЛицаАкадемии
Лица, которые мы видим каждый день: директор по карьерному развитию студентов Президентской академии
🙂Анна Хрипченко — директор по карьерному развитию студентов Президентской академии. В интервью она рассказала:
🙂 что такое Центр карьеры Президентской академии,
🙂 чем она занимается в свободное от работы время,
🙂 что она хотела бы пожелать людям Академии.
Подробнее — в нашем видео 🙂
👻 Мы в МАКС
Стоит ли увольняться ради повышения зарплаты?
Привет, друзья!
Обсудила с РБК, почему сотрудники все чаще используют заявление об уходе как аргумент в переговорах о зарплате, а работодатели готовы делать встречные предложения
Сегодня на рынке действительно не хватает квалифицированных специалистов. Потеря сильного сотрудника может обойтись компании дорого, поэтому бизнес чаще выбирает компромисс. Однако угроза увол…
🆕 Руководитель направления логистики (Сборные грузы и автомобильные перевозки)
💼 Группа компаний (ВЭД и логистика)
✅ Задачи:
• Управление направлениями «Сборные грузы» и «Автомобильные перевозки»
• Проектирование и внедрение эффективной логистической системы
• Обеспечение выполнения заказов по целевым показателям сервиса
• Снижение себестоимости перевозок без потери качества
• Повышение эффективности использования т…
💙💙💙💙💙
🔔 Как не упустить возможности Академии и превратить их в успех?
Друзья, вышел новый выпуск подкаста «Как приручить карьеру»!
🎙 Гостья выпуска – Яна Ростовская, выпускница программы «Эффективное государственное управление» Президентской академии и специалист проектного офиса Минобрнауки России
В разговоре с Анной Хрипченко Яна рассказала, как еще во время учебы использовать карьерные форумы и другие возможнос…
🆕 CEO
💼 Комплексный интегратор беспилотных открытых горных работ (ОГР)
✅ О компании:
• Запускается компания полного цикла, которая будет заниматься внедрением беспилотных технологий для крупнейших горнодобывающих предприятий России — от обследования объекта и проектирования решений до промышленной эксплуатации.
✅ Задачи:
• Разработка и реализация стратегии развития компании
• Создание интегратора полного цикла для …
📌 Как студенту начать карьеру, когда требования работодателей растут?
Конкуренция среди молодых специалистов становится выше, особенно в популярных офисных направлениях. Теперь диплома и статуса выпускника недостаточно: компании хотят видеть навыки, опыт и ключевые результаты
Директор по карьерному развитию студентов Президентской академии Анна Хрипченко рассказала, как студентам адаптироваться к новым условиям рын…
🆕 Главный бухгалтер
💼 ФГБУ "Издательство "Наука"
📍 Москва
✅ Требования:
• Высшее профессиональное экономическое образование;
• Опыт работы не менее 5 лет на аналогичной должности в бюджетной сфере;
• Стаж работы по профилю (бухгалтерский учет, экономика и финансы) не менее 10 лет;
• Умение работать в 1С: БГУ, 1С: ЗКГУ, ГИИС «Электронный бюджет»;
• Уверенный пользователь MS Office (Word и Excel), MS PowerPoint;
• Опы…
Showing the 12 most recent of 22 posts we hold for @rudakovahr. 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 — 240,771 of 1,480,688entries 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.
“🔎 Вакансии от Хрипченко Ани (ex-Рудакова)” (@rudakovahr), 4,995 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/rudakovahr.
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.