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Channel

HR-промпты | SoftRecruiting™

@SoftRecruiting

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Handles named that no longer answer · Cite this entry

7,944subscribers

+296 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002013560188
TypeChannel
Username@SoftRecruiting
DescriptionКанал для современных HR © SoftRecruiting™ Ещё больше шаблонов в Библиотеке промптов HRD-ai.com для Управления персоналом (HR) На связи @hrd_ai Реклама: пишите или: 1) https://telega.in/c/SoftRecruiting 2) MAX: https://telega.in/m/channel_HRtech
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/SoftRecruiting

Topic

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.

Growth

7,6487,9697,808.56 August 2026 — 7,648 subscribers6 August 2026 — 7,653 subscribers9 August 2026 — 7,693 subscribers13 August 2026 — 7,707 subscribers16 August 2026 — 7,677 subscribers19 August 2026 — 7,652 subscribers22 August 2026 — 7,679 subscribers25 August 2026 — 7,666 subscribers28 August 2026 — 7,743 subscribers31 August 2026 — 7,823 subscribers3 September 2026 — 7,840 subscribers8 September 2026 — 7,848 subscribers12 September 2026 — 7,849 subscribers16 September 2026 — 7,825 subscribers25 September 2026 — 7,855 subscribers4 October 2026 — 7,848 subscribers10 October 2026 — 7,969 subscribers14 October 2026 — 7,953 subscribers17 October 2026 — 7,943 subscribers20 October 2026 — 7,928 subscribers23 October 2026 — 7,933 subscribers27 October 2026 — 7,923 subscribers30 October 2026 — 7,941 subscribers2 November 2026 — 7,933 subscribers5 November 2026 — 7,944 subscribers7,9446 August 20265 November 2026
25 measurements spanning 91 days, net +296. 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 7,600–8,017 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
5 Nov 2026, 11:277,944+11
2 Nov 2026, 09:017,933-8
30 Oct 2026, 09:307,941+18
27 Oct 2026, 06:287,923-10
23 Oct 2026, 19:357,933+5
20 Oct 2026, 16:287,928-15
17 Oct 2026, 07:207,943-10
14 Oct 2026, 09:587,953-16
10 Oct 2026, 11:167,969+121
4 Oct 2026, 18:007,848-7
25 Sept 2026, 05:387,855+30
16 Sept 2026, 23:597,825-24
12 Sept 2026, 17:217,849+1
8 Sept 2026, 23:017,848+8
3 Sept 2026, 20:017,840+17
31 Aug 2026, 07:027,823+80
28 Aug 2026, 08:057,743+77
25 Aug 2026, 12:237,666-13
22 Aug 2026, 20:247,679+27
19 Aug 2026, 12:167,652first reading

Engagement

67 posts held, back to 22 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 26 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.80%
avg views ÷ 7,944 subscribers
Avg views / post
778
16 posts measured
Reaction rate
1.17%
reactions ÷ views · ER floor
Posts in window
16
of 67 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 5 November 2026
Posts held67 (22 July 2026 – 5 November 2026)
Views total12,451
Reactions total146
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 23:45 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
111
Links
375

Lifetime counters from Telegram’s own channel header, read 5 November 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

532 reactions across 62 posts, in 3 distinct kinds. The most used accounts for 52.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍28052.6%
🔥14026.3%
❤11221.1%

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 64 of the 67 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 540 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 67 most recent posts we hold, published 22 July 2026 to 5 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.

Advertising

Ad load
2.99%
2 of 67 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
197
over 2 measured posts
Median views · rest
761
over 65 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
2VtzquivQFd124 August 202624 August 2026
2W5zFG4W5nh120 August 202620 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 67 most recent posts we hold, published 22 July 2026 to 5 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: 11 of 16 posts held from the last 30 days (68.8%) 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).

5 Nov 2026, 17:04 UTC143 views7 reactionsread 5 November 2026

#HRавтоматизация ▫️Промпт для разработки списка из 100 вариантов функций ИИ-агента для C&B менеджера Роль: Ты - эксперт по автоматизации HR-процессов и проектированию ИИ-агентов для управления компенсациями и льготами (C&B). Задача: Разработай детализированный и структурированный перечень из 100 возможных функций ИИ-агента, предназначенного для поддержки работы C&B менеджера, охватывающий все ключевые направления …

👍4🔥2❤1

5 Nov 2026, 06:12 UTC303 views9 reactionsread 5 November 2026

#Рекрутинг ▫️Промпт для разработки Карты поиска кандидатов (для вакансии Executive Search) Роль: Ты - эксперт по Executive search и стратегическому рекрутменту, специализирующийся на построении карт поиска кандидатов для позиций высшего управленческого уровня. Задача: Разработай для рекрутера подробную Карту поиска кандидатов по конкретной вакансии уровня Executive Search, которая позволит системно и целенаправлен…

👍4🔥4❤1

3 Nov 2026, 15:31 UTC551 views8 reactionsread 5 November 2026

#Оценка360 ▫️HR-промпт для разработки подробного сценария ИИ-агента для его участия в процессе Оценки 360 Роль: Ты - эксперт по проектированию ИИ-агентов и автоматизации HR-процессов. Задача: Разработай подробный, логически структурированный сценарий работы ИИ-агента, который будет участвовать в процессе Оценки 360, опираясь на предоставленный мной контекст компании. Ключевые детали для проработки: 1. Опиши цели …

🔥4👍3❤1

3 Nov 2026, 10:41 UTC434 views10 reactionsread 5 November 2026

#HRкарьера ▫️HR-промпт для общения с ИИ как карьерным консультантом по поиску работы в HR сфере ▫️HR-промпт для стратегического SWOT-анализа карьеры в HR с практическими рекомендациями по развитию и позиционированию ▫️HR-промпт для создания списка современных HR-ролей с описанием для использования в профориентации или построении карьерной карты в HR Особенно будет полезно, если вы сами давно не искали работу. Про…

👍6🔥3❤1

3 Nov 2026, 07:41 UTC390 views8 reactionsread 5 November 2026
Forwarded from @bforums_ruVideo

🔖 Приглашаем 16 ноября принять участие в практической конференции по применению искусственного интеллекта и нейросетей в бизнесе – ИИ КОНФА 2026. В центре программы: • Реальный опыт применения ИИ и нейросетей для решения профессиональных задач каждый день • Обзоры возможностей и ограничений нейросетей • Кейсы глобальной ИИ-трансформации бизнес-процессов • ROI от внедрения ИИ в бизнес-процессы и оцифрованный результа…

👍8

30 Oct 2026, 15:33 UTC637 views12 reactionsread 5 November 2026

#PerfReview ▫️Промпт для создания чек-листа из 100 самых важных пунктов по процессу Performance Review Роль: Ты - опытный HR-методолог и эксперт по управлению эффективностью, специализирующийся на разработке практических инструментов для HR-команд. Задача: Разработай для HR-команды исчерпывающий, структурированный и практически применимый чек-лист из 100 пунктов, охватывающий все ключевые этапы и аспекты подготовк…

👍7❤3🔥2

28 Oct 2026, 15:01 UTC782 views9 reactionsread 5 November 2026

#Адаптация ▫️Промпт для разработки подробного сценария ИИ-агента для процесса адаптации сотрудников Роль: Ты - эксперт по проектированию ИИ-агентов и оптимизации бизнес-процессов. Задача: Разработай максимально подробный, логически структурированный и практически применимый сценарий участия ИИ-агента в процессе адаптации новых сотрудников с учётом моего контекста, чтобы сценарий описывал цели, этапы, действия аген…

👍6🔥2❤1

23 Oct 2026, 09:42 UTC≈1,130 views8 reactionsread 5 November 2026

#Оргразвитие ▫️Промпт для разработки концепта удобной Базы знаний HR-команды с учетом контекста Роль: Ты - эксперт по управлению знаниями и HR-процессами, специализирующийся на создании эффективных корпоративных баз знаний. Задача: Разработай детализированный концепт Базы знаний для HR-команды, который описывает её структуру, принципы наполнения, роли пользователей и ключевые сценарии использования, чтобы в резуль…

👍5🔥2❤1

21 Oct 2026, 15:31 UTC916 views9 reactionsread 5 November 2026

#HRбренд ▫️Промпт для разработки HR-программы поддержки сотрудников - работающих родителей с детьми до 1 года Роль: Ты - эксперт по социальным программам и организационному развитию, специализирующийся на поддержке работающих родителей с детьми раннего возраста. Задача: Разработай комплексную программу поддержки работающих родителей с детьми до 1 года, включающую конкретные меры, механизмы реализации и критерии оц…

👍6🔥2❤1

19 Oct 2026, 12:50 UTC957 views11 reactionsread 5 November 2026
Photo

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🔥6👍3❤2

15 Oct 2026, 10:26 UTC884 views9 reactionsread 5 November 2026

#HRбренд ▫️Промпт для анализа восприятия компании как работодателя Роль: Ты - эксперт по HR-аналитике и исследованию бренда работодателя, специализирующийся на глубоком анализе обратной связи и формировании стратегических отчетов. Задача: Проведи комплексный анализ текущего восприятия компании как работодателя на основе имеющихся отзывов сотрудников и кандидатов, чтобы выявить ключевые сильные и слабые стороны, а …

👍7❤1🔥1

14 Oct 2026, 04:30 UTC974 views10 reactionsread 5 November 2026

#Рекрутинг ▫️Промпт для создания списка ключевых метрик рекрутинга с пояснениями и учетом контекста компании Роль: Ты - эксперт в области HR-аналитики и подбора персонала. Задача: Сформируй подробный перечень главных метрик рекрутинга, релевантных моему контексту, и дай развёрнутое объяснение каждой метрики: что она измеряет, как рассчитывается, какие значения считаются нормой и как её использование помогает улучш…

👍8❤1🔥1

Showing the 12 most recent of 67 posts we hold for @SoftRecruiting. 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

@SoftRecruiting edited 9 posts 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
12 August 2026
Most recent edit
25 August 2026

Posts recorded as deleted after publishing

We recorded 4 posts on @SoftRecruiting 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
18 August 2026
Most recent seen missing
20 August 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
0

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.

5 Aug 2026, 13:15 UTCAnonymous Poll42 voters

Опишите ваш опыт работы с ИИ-агентами в HR!

  1. Нет опыта50%
  2. Много читаю про них, изучаю сценарии, но опыта пока нет12%
  3. Тестирую готовых агентов, в основном у HR-платформ, с которыми уже работаем14%
  4. С разработчиками в компании делаем кастомных агентов10%
  5. С помощью вайбкодинга/конструкторов самостоятельно делаю агентов для своих задач19%
  6. Другое0%

The shares total 105%, 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 67 most recent posts we hold, published 22 July 2026 to 5 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 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“HR-промпты | SoftRecruiting™” (@SoftRecruiting), 7,944 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/SoftRecruiting.

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.