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Channel

Сергей Юлдашев

@yuldashev_sergey

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

886subscribers

-1 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002224335160
TypeChannel
Username@yuldashev_sergey
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/yuldashev_sergey

Growth

886887886.56 August 2026 — 887 subscribers6 August 2026 — 887 subscribers15 August 2026 — 886 subscribers6 August 202615 August 2026
3 measurements spanning 9 days, net -1. 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 886–887 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 01:06886-1
6 Aug 2026, 14:20887no change
6 Aug 2026, 06:05887first reading

Engagement

18 posts held, back to 30 October 2025the 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
19.6%
avg views ÷ 886 subscribers
Avg views / post
174
2 posts measured
Reaction rate
4.89%
reactions ÷ views · ER floor
Posts in window
2
of 18 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 6 August 2026
Posts held18 (30 October 20256 August 2026)
Views total348
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 14:20 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

252 reactions across 18 posts, in 8 distinct kinds. The most used accounts for 36.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9236.5%
7027.8%
👍5923.4%
😁239.13%
💯41.59%
💅20.794%
🆒10.397%
🤝10.397%

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 18 of the 18 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 252reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 30 October 2025 to 6 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

6 Aug 2026, 12:55 UTC60 views7 reactionsread 6 August 2026
Photo

Русский язык богат и нелогичен Видел тут смешной ролик, что утренник, дневник, вечерник и ночник обозначают разные вещи. И если ты не носитель — из названия никогда не догадаешься. Так и в HR "талент-менеджеры" не управляют талантами. И за реализацию большей части талент-процессов не отвечают. А руководители — не хотят. Может ИИ делегировать? Что именно? И кто это сделает? Талент-менеджмент Шредингера И вот управле

7

22 Jul 2026, 10:01 UTC288 views10 reactionsread 6 August 2026
File

Метрики в управлении талантами Вопрос про метрики в управлении талантами задают с такой частотой, что это побудило создать краткий гайд. Ну как краткий... 100+ метрик по управлению талантами. Он давно подрос, пользуется популярностью и периодически обновляется. Чего нового в метриках? Прям нового не так много, разве что ИИ в талент-процессах, но тут прекрасно применимы продуктовые метрики, что-то прям специфичное и

🔥9👍1

1 Jul 2026, 10:23 UTC298 views2 reactionsread 6 August 2026
Poll

Если бы вы могли прокачаться на 100% в методологии только 1 типа интервью — какой бы выбрали?

  1. Биографическое интервью2%
  2. Интервью по компетенциям24%
  3. Стей-интервью15%
  4. Интервью для верификации опыта7%
  5. Интервью по ценностям44%
  6. Техническое интервью7%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

1👍1

1 Jul 2026, 08:36 UTC289 views3 reactionsread 6 August 2026

7 типов интервью, методологию которых должен знать каждый HRD / HRBP. И хотя бы 3-4 из них — уметь проводить на уверенном уровне: • Биографическое интервью • Интервью по компетенциям • Стей-интервью • Интервью для верификации опыта • Интервью при увольнении • Интервью по ценностям • Техническое интервью Статья: https://talentcode.ru/knowledge/7-tipov-intervyu

👍3

23 Jun 2026, 06:24 UTC388 views13 reactionsread 6 August 2026
File

Большое обновление словаря терминов в области управления талантами Добавил ряд терминов (135 → 230), структурировал некоторые разделы, сам файл облегчил. Ниже — сравнение от Клода прошлой версии и новой — полезно тем, кто прошлую версию внимательно изучал. Новая версия (v.23.06.2026) заметно более объёмная, чем майская (v.08.05.2026): русскоязычная секция выросла примерно вдвое. Главное, что добавилось: Два боль

👍102🆒1

19 Jun 2026, 11:09 UTC354 views16 reactionsread 6 August 2026

Эти вопросы многим кажутся развилками, но в 98% компаний всегда один и тот же правильный ответ: • говорить ли преемнику, что он преемник? говорить • выделять ключевые должности или ключевых сотрудников? должности • планировать от позиций или от людей? от позиций • кадровый резерв — это процесс или проект? процесс • преемственность — это ответственность HR или бизнеса? бизнеса А вот эти вопросы многим кажутся очевидн

14👍2

3 Jun 2026, 12:57 UTC385 views10 reactionsread 6 August 2026
Photo

У вас нет дефицита цифр. У вас избыток данных + дефицит внимания вашей аудитории. Цифровизация и нейросети сделали доступными почти любые данные. Любой, у кого есть интернет и 20 долларов, уже заваливает вас аккуратными отчётами на 50 страниц и прочим нейрослопом. А вы заваливаете этим своих руководителей. Это часто даже содержательно и красиво оформлено. Но убедительно ли? Это приводит к чудовищной инфляции информ

👍6🔥31

8 May 2026, 05:07 UTC≈1,590 views18 reactionsread 6 August 2026
File

В рамках курса по управлению талантами обновил глоссарий терминов в области Talent Management. В документе — более 100 терминов: от классических понятий вроде кадрового резерва, преемственности и потенциала до более специфичных терминов вроде Talent Review, Talent Density, Pivotal Role, Talent Attraction Flywheel и Talent to Value. Подумал, что глоссарий может быть полезен не только участникам курса, но и более шир

🔥15👍2🤝1

27 Mar 2026, 06:31 UTC672 views8 reactionsread 6 August 2026

Друзья, все, кто заниматся обучением, приходит к нам за бенчмарками, консультациями и оценкой эффективности обучения — приходите через 30 минут на открытую встречу с Людой Роговой. Она покажет дашборды в обучении, расскажет о сигналах, что сотрудник не пройдет обучение или не применит знания. Прошлая встреча получила отличные отзывы, и в целом очень удачный формат. Тут: https://talentcode.ru/hrdashboards Чтобы не пр

5👍3

26 Mar 2026, 05:14 UTC578 views11 reactionsread 6 August 2026

Мы забудем про ИИ-зацию подбора в текущем виде как про пейджеры. Все, кого таким образом можно подбирать, будут сами заменены тем же ИИ. Через 2–3 года — офисные профессии, через 7–15 лет — физические. А управление топ-звёздами, наоборот, выходит на первый план. И мы не будем просить таких людей пройти оценку с ИИ. Мы будем водить вокруг них хороводы, платить баснословные деньги им, кто может собрать из ИИ-решений и

👍11

16 Mar 2026, 15:15 UTC725 views11 reactionsread 6 August 2026

Мы запустили формат лектория. Первая встреча будет завтра в 17:30, тема: ИИ в обучении Опытом внедрения, успехов и ошибок поделятся: • Ирина Савицкая (экс Циан, Яндекс, Магнит) • Светлана Карлович (Х5, School of Education) • Любовь Суханова (Альфа-Банк) И это ценное, камерное и полезное почему-то бесплатно сделали. Говорят, что я согласовал 🤦‍♂️ Для подключения нужна регистрация: https://talentcode.ru/events/lectu

🔥9👍2

5 Mar 2026, 12:33 UTC980 views35 reactionsread 6 August 2026

Ну что, с 1 марта 2026 года в России начал действовать Федеральный закон №168-ФЗ (про язык и англицизмы). Теперь не так: HRBP на митинге по TalentReview открыл дашборд 9-boxes и дал фидбек по перфоманасу и скилам саксессоров, подкрепив спич таргетами и фактом по KPI's. Рекрутеры в силу хайринг фриза зафакапили свои OKR's по количеству джоб-офферов, ведь никто и не подумал сделать ревью и таргетов и SLA. После такого

🔥18😁9👍62

Showing the 12 most recent of 18 posts we hold for @yuldashev_sergey. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

1 Jul 2026, 10:23 UTCAnonymous Poll41 voters

Если бы вы могли прокачаться на 100% в методологии только 1 типа интервью — какой бы выбрали?

  1. Биографическое интервью2%
  2. Интервью по компетенциям24%
  3. Стей-интервью15%
  4. Интервью для верификации опыта7%
  5. Интервью по ценностям44%
  6. Техническое интервью7%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 18 most recent posts we hold, published 30 October 2025 to 6 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 290,219 of 1,481,346entries 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.

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.

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

“Сергей Юлдашев” (@yuldashev_sergey), 886 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/yuldashev_sergey.

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.