Posted without readable text
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Channel
@hrexpert63
On this record: Topic · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts recorded as deleted · Citations · Cite this entry
15,167subscribers
+140 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001511008900 |
|---|---|
| Type | Channel |
| Username | @hrexpert63 |
| Description | Эксперт по обе стороны найма. Помогаю компаниям растить лучших людей, а людям — находить компании мечты и строить в них выдающуюся карьеру Подробнее https://hrexpert63.tilda.ws/academia_career Отзывы @hrexpert63_feedback Консультации, связь @hrexpert |
| Created | 14 November 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/hrexpert63 |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 73% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 01:00 | 15,167 | -6 |
| 8 Nov 2026, 19:19 | 15,173 | -10 |
| 7 Nov 2026, 09:54 | 15,183 | -9 |
| 6 Nov 2026, 08:06 | 15,192 | +11 |
| 5 Nov 2026, 05:38 | 15,181 | -6 |
| 4 Nov 2026, 03:36 | 15,187 | -5 |
| 3 Nov 2026, 05:28 | 15,192 | -3 |
| 2 Nov 2026, 04:49 | 15,195 | -1 |
| 1 Nov 2026, 01:27 | 15,196 | -8 |
| 31 Oct 2026, 02:08 | 15,204 | -1 |
| 30 Oct 2026, 04:10 | 15,205 | +6 |
| 29 Oct 2026, 04:19 | 15,199 | +9 |
| 28 Oct 2026, 02:30 | 15,190 | -11 |
| 27 Oct 2026, 05:47 | 15,201 | -1 |
| 26 Oct 2026, 03:35 | 15,202 | -12 |
| 25 Oct 2026, 01:39 | 15,214 | +6 |
| 23 Oct 2026, 23:41 | 15,208 | +13 |
| 22 Oct 2026, 20:46 | 15,195 | +44 |
| 21 Oct 2026, 16:07 | 15,151 | -15 |
| 20 Oct 2026, 15:46 | 15,166 | first reading |
117 posts held, back to 28 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 82 pages of Telegram’s post history, 20 posts per page.
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 26 of 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 117 (28 July 2026 – 11 November 2026) |
| Views total | 10,909 |
| Reactions total | 299 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 06:56 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.
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 12 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.
896 reactions across 92 posts, in 32 distinct kinds. The most used accounts for 34.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 312 | 34.8% | |
| ❤ | 242 | 27.0% | |
| 😁 | 103 | 11.5% | |
| 💯 | 46 | 5.13% | |
| 👍 | 44 | 4.91% | |
| 🤣 | 43 | 4.80% | |
| 👏 | 36 | 4.02% | |
| 💔 | 10 | 1.12% | |
| 😱 | 10 | 1.12% | |
| 😢 | 8 | 0.893% | |
| 🎉 | 6 | 0.67% | |
| 🙈 | 4 | 0.446% | |
| 🙏 | 4 | 0.446% | |
| 🏆 | 3 | 0.335% | |
| 💘 | 3 | 0.335% | |
| ❤🔥 | 2 | 0.223% | |
| 👻 | 2 | 0.223% | |
| 😈 | 2 | 0.223% | |
| 🙊 | 2 | 0.223% | |
| 🤩 | 2 | 0.223% | |
| 12 further kinds | 12 | 1.34% |
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 96 of the 117 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 907 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 117 most recent posts we hold, published 28 July 2026 to 11 November 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzqxV3835 | 1 | 2 September 2026 | 2 September 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 117 most recent posts we hold, published 28 July 2026 to 11 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Telegram’s own ‘edited’ marker: 9 of 29 posts held from the last 30 days (31.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Posted without readable text
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Виды мошенничества на рынке труда, с которыми может столкнуться каждый (перешлите знакомым!) Вы думаете, самое неприятное при поиске работы — это когда рекрутер не вернулся с обратной связью? Или когда предложили оклад ниже рынка? Как бы не так! Самое страшное сегодня — это выйти с удаленного собеседования с чужим микрозаймом на ваше имя, заблокированным айфоном или вовсе с уголовным делом. Рынок труда давно перес…
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🔥️️️️️️ВНИМАНИЕ! ВАЖНАЯ ИНФОРМАЦИЯ🔥️️️️️️ ЕСТЬ 2 СЛОТА НА ЛИЧНУЮ КОНСУЛЬТАЦИЮ По мотивам предыдущего поста, осенняя волна найма в самом разгаре и двое моих клиентов эту волну успешно оседлали и прямо сейчас выходят на новые рабочие места. А это значит, что у меня освободилось ровно два места на индивидуальную работу. Вообще весь ноябрь я сфокусирована на ведении группы курса «Карьерный стратег». Но ноябрь и декабр…
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Осенняя волна найма 2026 уже началась? Если коротко, да, началась. Но рановато радоваться, потому что спокойно серфить на ней получится далеко не у всех. Что такое вообще осенняя волна найма? Традиционно это период, когда бизнес возвращается из отпусков, распаковывает бюджеты до конца года и начинает активно закрывать дыры в штатном расписании, потому что надо догнать и перегнать конкурентов до конца года, а тут ос…
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Извините, а Кими выйдет? 😎
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Лайкать умное видео, конечно же, никто не собирался... Это вам не потаскумбрия😃️️
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А между тем у меня новое короткое видео про рейтинг HR-директоров, и там как раз про HRD банков в том числе. Смотрите скорей! (да, я знаю, что сегодня суббота, но дурного контента и вчера было с избытком😃️️️️️️, так что #субботнийконтент будет умный) Давно не снимала, надеюсь, вы соскучились по разговорному формату. Промпты, которые ускорят ваш поиск работы в 2 раза тут https://t.me/HRexpert_helper_bot?start=dl-17…
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Мне вчера пишет HRD одного крупного банка, а у меня в канале потаскумбрия🙈️️️️️️ Господи, какой позор!
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это генерит муж😂️️🙈️️️️️️ @KaravannovZhenya
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Продолжаем совершенствоваться в работе с ИИ. Вот, например, дочь, 8 лет - использует Gemini строго по назначению - генерит видео котов, брейн рот мемы (на фото котолини-бутолини, родственник балерины капучины и тралаллело траллала😃️️️️️️) и продолжает совершенствовать приложение для поиска мужей (я пока не говорю ей, что помимо визуала, его еще надо накодить, а-то, боюсь, вообще комп обратно не получу😅️️️️️️) Короч…
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Продолжаю веселить вас своим менеджментом 🙈 Вот уже месяц как у меня появился чудеснейший ассистент, (отдельно потом напишу, как я не решалась на ассистента почти год и как такой бриллиант мне достался). Пока я просто кайфую. Помимо того, что я могу делегировать часть задач, от чувства юмора. Еще раз скажу - это АРХИважно, не когда вы из себя выдавливаете смех через силу над шутками руководства, а когда вам реально…
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ИИ-агент тоже отлично умеет перекладывать ответственность 🤣
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Showing the 12 most recent of 117 posts we hold for @hrexpert63. 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.
We recorded 13 posts on @hrexpert63 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 17 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.
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.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“#ПерезагрузкаКарьеры” (@hrexpert63), 15,167 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/hrexpert63.
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.