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HRTech | Технологии для управления персоналом

@HRTechRU

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

13,701subscribers

-143 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001546592282
TypeChannel
Username@HRTechRU
DescriptionКанал Виктории Пискаревой и проекта HRTech Собираем и публикуем новости, обзоры, исследования HRTech рынка и HRTech решений РКН: https://vk.cc/cHknuF По вопросам и консультациям: @victoria_pi https://telega.in/c/HRTechRU/?r=hC2dMj5r
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/HRTechRU

Topic

Technology — 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 97% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 4 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@HRTechRU/2265 · this entry12 Aug 2026, 09:05 UTC@hr_me_community/444117 Aug 2026, 13:02 UTC1.005 days
@HRTechRU/2275 · this entry18 Aug 2026, 09:05 UTC@hr_me_community/444318 Aug 2026, 13:00 UTC1.003.9 hours
@hr_me_community/444620 Aug 2026, 05:50 UTC@HRTechRU/2279 · this entry20 Aug 2026, 09:05 UTC1.003.2 hours
@HRTechRU/2277 · this entry19 Aug 2026, 09:05 UTC@hr_me_community/445024 Aug 2026, 05:25 UTC1.005 days
@HRTechRU/2289 · this entry27 Aug 2026, 09:05 UTC@hr_me_community/445727 Aug 2026, 11:00 UTC1.001.9 hours
@HRTechRU/2389 · this entry4 Nov 2026, 12:04 UTC@hr_me_community/45854 Nov 2026, 12:35 UTC1.0031 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@hr_me_community8 (8/8 hand-verifiable sample passed)1.003.5 hoursthis entry (6–2)
@hrandmuchmore7 (7/7 hand-verifiable sample passed)0.9915 minutes@hrandmuchmore (4–3)
@hrvacancies_rff6 (6/6 hand-verifiable sample passed)1.0019 minuteseven
@rff_channel6 (6/6 hand-verifiable sample passed)0.9958 minutesthis entry (4–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 11 of the 11 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 56 comparable posts for this entry, running 25 June 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the keys clone_mutual · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

13,67813,84513,761.56 August 2026 — 13,844 subscribers6 August 2026 — 13,844 subscribers7 August 2026 — 13,845 subscribers8 August 2026 — 13,844 subscribers9 August 2026 — 13,839 subscribers10 August 2026 — 13,835 subscribers11 August 2026 — 13,829 subscribers12 August 2026 — 13,826 subscribers13 August 2026 — 13,819 subscribers15 August 2026 — 13,815 subscribers16 August 2026 — 13,808 subscribers17 August 2026 — 13,803 subscribers18 August 2026 — 13,802 subscribers19 August 2026 — 13,801 subscribers20 August 2026 — 13,802 subscribers21 August 2026 — 13,798 subscribers23 August 2026 — 13,793 subscribers24 August 2026 — 13,788 subscribers28 August 2026 — 13,782 subscribers29 August 2026 — 13,779 subscribers31 August 2026 — 13,778 subscribers1 September 2026 — 13,776 subscribers1 September 2026 — 13,774 subscribers3 September 2026 — 13,773 subscribers4 September 2026 — 13,762 subscribers10 September 2026 — 13,749 subscribers12 September 2026 — 13,741 subscribers16 September 2026 — 13,739 subscribers18 September 2026 — 13,733 subscribers2 October 2026 — 13,691 subscribers7 October 2026 — 13,709 subscribers12 October 2026 — 13,713 subscribers14 October 2026 — 13,719 subscribers15 October 2026 — 13,715 subscribers16 October 2026 — 13,714 subscribers17 October 2026 — 13,718 subscribers18 October 2026 — 13,717 subscribers19 October 2026 — 13,709 subscribers20 October 2026 — 13,711 subscribers21 October 2026 — 13,715 subscribers22 October 2026 — 13,708 subscribers23 October 2026 — 13,707 subscribers24 October 2026 — 13,706 subscribers25 October 2026 — 13,704 subscribers26 October 2026 — 13,696 subscribers27 October 2026 — 13,697 subscribers28 October 2026 — 13,698 subscribers29 October 2026 — 13,693 subscribers30 October 2026 — 13,687 subscribers31 October 2026 — 13,688 subscribers1 November 2026 — 13,683 subscribers2 November 2026 — 13,678 subscribers3 November 2026 — 13,681 subscribers4 November 2026 — 13,684 subscribers5 November 2026 — 13,699 subscribers6 November 2026 — 13,707 subscribers8 November 2026 — 13,703 subscribers10 November 2026 — 13,701 subscribers13,7016 August 202610 November 2026
58 measurements spanning 96 days, net -143. 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 13,653–13,870 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
10 Nov 2026, 05:2013,701-2
8 Nov 2026, 17:0613,703-4
6 Nov 2026, 09:4613,707+8
5 Nov 2026, 08:0913,699+15
4 Nov 2026, 06:4913,684+3
3 Nov 2026, 08:0013,681+3
2 Nov 2026, 10:3613,678-5
1 Nov 2026, 09:0913,683-5
31 Oct 2026, 09:4913,688+1
30 Oct 2026, 11:5013,687-6
29 Oct 2026, 13:0013,693-5
28 Oct 2026, 13:0913,698+1
27 Oct 2026, 13:5613,697+1
26 Oct 2026, 13:2813,696-8
25 Oct 2026, 14:5113,704-2
24 Oct 2026, 14:3013,706-1
23 Oct 2026, 12:1913,707-1
22 Oct 2026, 14:5913,708-7
21 Oct 2026, 07:4113,715+4
20 Oct 2026, 06:3913,711first reading

Engagement

82 posts held, back to 25 June 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.32%
avg views ÷ 13,701 subscribers
Avg views / post
591
31 posts measured
Reaction rate
0.692%
reactions ÷ views · ER floor
Posts in window
31
of 82 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 21 of 31 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held82 (25 June 2026 – 11 November 2026)
Views total18,333
Reactions total88
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 09:22 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
≈119
Links
≈1,270

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.

Reaction mix

174 reactions across 46 posts, in 6 distinct kinds. The most used accounts for 31.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5531.6%
👍4324.7%
🔥2916.7%
👎2614.9%
😁179.77%
👏42.30%

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 50 of the 82 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 183 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 82 most recent posts we hold, published 25 June 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 82 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @HRTechRU. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 82 most recent posts we hold for this entry, published 25 June 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
4.88%
4 of 82 posts carry an ad marker
Regulatory tokens
4
posts carrying an erid · 4 distinct tokens
Median views · ads
475
over 4 measured posts
Median views · rest
700
over 78 measured posts

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.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqvsdXSb125 August 202625 August 2026
2VtzqwcP27819 November 20269 November 2026
2W5zFH7vSHx110 November 202610 November 2026
CQH36pWzJqE1dR7Fx2i1iCEDtVeSpsZ41tZRHmjDQCAg7B117 August 202617 August 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 82 most recent posts we hold, published 25 June 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.

Recent posts

Telegram’s own ‘edited’ marker: 10 of 31 posts held from the last 30 days (32.3%) 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).

11 Nov 2026, 05:05 UTC238 views6 reactionsread 11 November 2026
File

Карта 600+ HRTech решений от канала @hrtechru

❤3🔥3

11 Nov 2026, 05:03 UTC249 views8 reactionsread 11 November 2026
Photo

600+ HRTech решений 2026 За прошедшую неделю стало понятно, что терпение - не моя сильная сторона) К тому же 11.11. - отличная дата для выхода в свет обновленной Карты HRTech решений 2026 Комментарий от меня: Стало очень сложно определять что такое HCM, потому что очень много решений позиционируют себя таковыми и указывают на сайтах наличие множества модулей, не уточняя объем готового функционала. В нашей версии…

👍8

10 Nov 2026, 13:05 UTC325 views2 reactionsread 11 November 2026
Advertisementerid 2W5zFH7vSHxPhoto

Этап тестирования кандидатов сократился вдвое Такой результат отметили в фармацевтической компании «Авексима» после интеграции Maintest с Хантфлоу. При переходе на новую ATS компания решила автоматизировать работу с тестированием кандидатов. Раньше HR-специалист вручную назначал тесты в Maintest, отправлял приглашения и пересылал отчёты внутренним заказчикам. Команды HT Lab и Хантфлоу настроили двустороннюю интегр…

❤1👍1

10 Nov 2026, 09:05 UTC366 viewsread 11 November 2026
Photo

👥 Большой аналитический дайджест Авито Работы: как находить сотрудников за пределами своего региона? Когда местных кандидатов недостаточно, работодателям приходится расширять географию поиска. Но где искать людей, готовых приехать, и как заинтересовать их предложением? Эти вопросы станут главной темой нового исследования Авито Работы о вахтовом найме. 12 ноября в 11:00 эксперты представят результаты аналитики и ра…

9 Nov 2026, 11:05 UTC438 views3 reactionsread 11 November 2026

#новости продуктов ServiceGuru запустили ServiceGuru.Найм - AI-платформу подбора для сетей HoReCa, ритейла и сервиса. Отклики с hh.ru и Авито собираются в одну воронку, ИИ оценивает каждого кандидата по 100-балльной шкале с сильными сторонами и рисками. Источник

❤2🔥1

9 Nov 2026, 09:02 UTC475 views3 reactionsread 11 November 2026
Advertisementerid 2VtzqwcP278

Не внедряйте ИИ в подбор персонала, пока не узнаете, как избежать самых дорогих ошибок Компании тратят бюджеты на ИИ, запускают пилоты, тестируют десятки инструментов, а потом возвращаются к старым процессам Почему так происходит? На бесплатном вебинаре Qooqa разберём реальные ошибки внедрения ИИ в рекрутинг и расскажем, как не повторить их в своей компании В основе опыт более 500 пилотов, включая проекты Hoff, О…

👎2❤1

6 Nov 2026, 06:04 UTC571 views9 reactionsread 11 November 2026
Photo

90+ HRTech решений для проведения Опросов и Оценки персонала (комментарии см. в посте выше) Жду в личку комментариев про себя и про категорию в целом, буду рада любой обратной связи. Как говорится в одной рекламе - будем исправлять (с)

🔥6👍3

6 Nov 2026, 06:02 UTC538 viewsread 11 November 2026

Начинаю выкладывать Карту HRTech решений 2026. Частями. После каждой такой публикации мне в личку обычно приходит куча комментариев типа "а еще мы умеем вот это", "добавьте нас" и "у нас новый лого", поэтому перед публикацией большой карты сделаю анонсы небольшими партиями, так легче исправлять. В этот раз начну с решений для проведения Опросов и Оценки, т.к. в начале года у нас выходили посты: 25 Сервисов для авт…

5 Nov 2026, 11:05 UTC557 views2 reactionsread 11 November 2026

Обновляем* наконец то карту HRTech решений и что хочу сказать: у нас как в рекрутменте - куча ИИ-резюме ИИ-сгенерированных сайтов / лендингов, похожих друг на друга, в одних и тех же серо-синих или черно-лиловых цветах. И черт его знает где это только сайт, а где за ним хотя бы что-то есть... Еще очень заметно как много продуктов расширили линейку своих модулей и поменяли позиционирование на гордое "HCM" А еще мног…

❤2

5 Nov 2026, 06:04 UTC507 viewsread 11 November 2026

Gigoo https://gigoo.ru маркетплейс проектов для неполной занятости (стартап)

Showing the 12 most recent of 82 posts we hold for @HRTechRU. 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

@HRTechRU 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
25 August 2026
Most recent edit
25 August 2026

Posts recorded as deleted after publishing

We recorded 12 posts on @HRTechRU 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.

First seen missing
11 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
6 days
Seen missing in the last 30 days
7

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.

26 Aug 2026, 15:15 UTCAnonymous Poll157 voters

Какой продукт станет первой точкой входа в корп системы для сотрудников через 3-5 лет?

  1. КорпПортал живее всех живых22%
  2. Мессенджеры рулят17%
  3. Личный кабинет КЭДО20%
  4. Не нужно ничего кроме окошка ИИ-чата31%
  5. Мобильное приложение19%
  6. Интерфейс аля онлайн игра10%
  7. CRM (Битрикс, AMO и т.п.)8%
  8. Что-нибудь другое10%

The shares total 137%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 82 most recent posts we hold, published 25 June 2026 to 11 November 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.

Forward network

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.

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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Пригодится! 🍎 Библиотека для HR
@savetoreadlater · 22,075
Telegram ranks this channel #3 of 100 here — alongside 99 others — read 21 September 2026
The Future Of Work
@thefutureofwork · 21,193
Telegram ranks this channel #6 of 99 here — alongside 98 others — read 26 September 2026
HR-аналитика
@hranalitycs · 34,228
Telegram ranks this channel #8 of 100 here — alongside 99 others — read 3 September 2026
Эйчаргейт| Перезагрузка
@hrgate · 55,184
Telegram ranks this channel #10 of 93 here — alongside 92 others — read 28 August 2026
HR[хаб]вакансии
@hrhubvacancy · 22,885
Telegram ranks this channel #14 of 100 here — alongside 99 others — read 20 September 2026
WTF_HR
@WTF_HR · 19,211
Telegram ranks this channel #17 of 99 here — alongside 98 others — read 2 October 2026
Авито Работа
@avito_jobs · 21,246
Telegram ranks this channel #17 of 97 here — alongside 96 others — read 23 September 2026
topcareer
@topcareerschool · 23,187
Telegram ranks this channel #25 of 100 here — alongside 99 others — read 18 September 2026
Зайдите в кадры!
@kadrovoedelojournal · 30,624
Telegram ranks this channel #26 of 100 here — alongside 99 others — read 6 September 2026
Альфа-Курс
@alfa_course · 20,366
Telegram ranks this channel #31 of 88 here — alongside 87 others — read 26 September 2026
hh.ru
@hh_ru_official · 89,725
Telegram ranks this channel #34 of 83 here — alongside 82 others — read 10 September 2026
Кадровику
@kadroviku · 44,897
Telegram ranks this channel #34 of 93 here — alongside 92 others — read 27 August 2026
Полезное для Кадровика
@trud_krut · 23,345
Telegram ranks this channel #35 of 96 here — alongside 95 others — read 18 September 2026
REFORUM
@reforum · 18,730
Telegram ranks this channel #37 of 100 here — alongside 99 others — read 5 October 2026
Про Проекты и карьеру в ИТ | Романова
@proProject1 · 40,483
Telegram ranks this channel #37 of 97 here — alongside 96 others — read 1 September 2026
TOP LEVEL JOB [топ вакансии для руководителей]
@toplevel_job · 20,881
Telegram ranks this channel #39 of 100 here — alongside 99 others — read 26 September 2026
Хабр Карьера
@habr_career · 33,735
Telegram ranks this channel #49 of 97 here — alongside 96 others — read 4 September 2026
Я Топ
@i_top_groups · 19,311
Telegram ranks this channel #52 of 100 here — alongside 99 others — read 5 October 2026
Охрана труда
@ohranatruda_official · 24,883
Telegram ranks this channel #69 of 95 here — alongside 94 others — read 14 September 2026
Диссертация | Наталья Киреева | О научных статьях и диссертациях
@kireeva_science · 21,239
Telegram ranks this channel #74 of 96 here — alongside 95 others — read 25 September 2026

This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“HRTech | Технологии для управления персоналом” (@HRTechRU), 13,701 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/HRTechRU.

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.