Job listings — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 35% 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
59 measurements spanning 101 days, net -118. 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 10,985–11,139 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
15 Nov 2026, 16:19
11,003
-10
12 Nov 2026, 09:15
11,013
-2
10 Nov 2026, 08:17
11,015
-2
8 Nov 2026, 17:46
11,017
-3
7 Nov 2026, 13:47
11,020
-3
6 Nov 2026, 13:14
11,023
+1
5 Nov 2026, 09:59
11,022
-1
4 Nov 2026, 06:38
11,023
-2
3 Nov 2026, 03:50
11,025
-3
1 Nov 2026, 03:06
11,028
-1
31 Oct 2026, 02:47
11,029
-5
30 Oct 2026, 03:06
11,034
-1
29 Oct 2026, 03:39
11,035
+1
28 Oct 2026, 00:35
11,034
-2
27 Oct 2026, 02:18
11,036
-3
25 Oct 2026, 23:54
11,039
-1
25 Oct 2026, 02:31
11,040
-1
24 Oct 2026, 01:50
11,041
+1
23 Oct 2026, 03:10
11,040
-9
22 Oct 2026, 04:39
11,049
first reading
Engagement
46 posts held, back to 30 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.56%
avg views ÷ 11,003 subscribers
Avg views / post
1,050
20 posts measured
Reaction rate
2.05%
reactions ÷ views · ER floor
Posts in window
20
of 46 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 17 of 20 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 13 November 2026
Posts held
46 (30 July 2026 – 13 November 2026)
Views total
21,036
Reactions total
367
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 10:45 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
Video runtime
25s
Average length
13s
Measured directly from 2 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
740 reactions across 40 posts, in 13 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
206
27.8%
custom 5372846388981810937
126
17.0%
👀
106
14.3%
🔥
92
12.4%
⚡
48
6.49%
🗿
39
5.27%
😱
37
5.00%
💅
30
4.05%
🤝
29
3.92%
🤯
11
1.49%
🤩
7
0.946%
🍓
5
0.676%
👏
4
0.541%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 40 of the 46 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 740 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 46 most recent posts we hold, published 30 July 2026 to 13 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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 20 posts held from the last 30 days (20.0%) 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).
«Совпадение ожиданий теперь — это когда выходишь на работу на своих минимальных требованиях»
Марк Фейш больше 10 лет в HR Tech: внедрял SAP в банках и нефтегазе, вёл HR-продукты и проекты, последним был проект импортозамещения в «Ростелекоме». С конца лета он сам ищет работу. За это время откликнулся на 130+ вакансий и дошёл до собеседований по 27.
📎 Марк рассказал Рекрутачу, каково сейчас искать работу в HR, — лис…
ИТ-компании ищут исполнителей за границей 🔊
В октябре на одну ИТ-вакансию на hh приходилось почти 30 резюме, а самих вакансий за год стало на треть меньше. Но в то же время ИТ- и телеком-компании тратят всё больше на иностранных специалистов: за девять месяцев 2026-го на 38% больше, чем год назад. Это данные Solar Staff, платформы для выплат фрилансерам, так что за весь рынок не скажем. Но тренд любопытный.
Зовут в…
Навыки, которые к 2030-му станут никому не нужны 🌀
Всемирный экономический форум спросил тысячу компаний, какие навыки важны сейчас и какие понадобятся через пять лет. Получилась схема с четырьмя зонами.
✳️ Справа сверху: без этих навыков не обходятся уже сейчас, а к 2030-му они станут ещё важнее. Это ИИ, аналитическое мышление и гибкость. И человеческие тоже: лидерство, любознательность, управление талантами.
✳️ …
Одним из этапов взлома Binance на $6,34 млрд стало онлайн-собеседование🫣 Мотаем на ус, передаем привет СБ
Что случилось?
Инженеру Binance написали на сайте поиска работы и назначили видеозвонок с HR. Тот даже показал свой профиль в соцсетях с личными фото и видео. На втором этапе инженеру дали тестовое: скачать проект с кодом.
Что он и сделал. Это привело к запуску вредоносного ПО, с помощью которого хакеры получил…
Честно сказать кандидату, почему его не взяли: норм или стрём? 🤓
Почти половина жалоб соискателей на поиск работы — про отказы без объяснений. В целом, понимаем позицию, но и расписывать причину — тот ещё квест. Взвесили:
✨ За
• кандидат понимает, над чем поработать
• гневных отзывов о компании меньше (или хотя бы они вежливее)
• вы остаётесь в хороших отношениях: через год кандидат наберётся опыта и, может, отклик…
🖇️ Выгорание в 70% случаев начинается ещё на собеседовании
Частая причина выгорания — разрыв между ожиданиями от работы и реальными задачами. Об этом пишет Алёна Владимирская в книге «Уставшие».
Автор много лет нанимала топ-менеджеров, а потом выгорела. В книге рассказывает, как из этого выбраться, если отпуск уже не помогает.
🌟 Справочка
Алёна Владимирская — хедхантер и карьерный консультант. Руководила Работой@M…
Как Anthropic нанимает айтишников: задачи на код больше не дают 🔽
Инженерный менеджер Anthropic убрал из найма в своей команде задачи на код. Говорит, Claude всё равно решает их лучше кандидатов.
🖇️ Раньше задачки на код хоть как-то показывали, кто будет хорошо работать. А сейчас он видит, как новички с Клодом обходят тех, кто дольше в профессии.
Теперь смотрит резюме и портфолио и ищет там пет-проекты, по которым…
Ужасы найма от рекрутчан 🎃
Если бутафорские маски и кровь вас уже не пугают, вот кое-что реально жуткое. Мы попросили читателей рассказать свои страшилки из найма. Собрали всё в карточки. Листайте днём, на всякий случай.
Спасибо всем, кто поделился! Счастливого Хеллоуина и поменьше нечисти на собесах 👻
😁15👀10😱7
Showing the 12 most recent of 46 posts we hold for @recrutach. 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
@recrutach edited 3 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
10 August 2026
Most recent edit
12 November 2026
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 3 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.
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.
Тольятти | Новости | Происшествия @Tolyatti_crazy · 26,426 Telegram ranks this channel #19 of 68 here — alongside 67 others — read 16 September 2026
WTF_HR @WTF_HR · 19,207 Telegram ranks this channel #39 of 99 here — alongside 98 others — read 2 October 2026
Авито Работа @avito_jobs · 21,208 Telegram ranks this channel #47 of 97 here — alongside 96 others — read 23 September 2026
Хабр Карьера @habr_career · 33,747 Telegram ranks this channel #64 of 97 here — alongside 96 others — read 4 September 2026
HR-аналитика @hranalitycs · 34,295 Telegram ranks this channel #64 of 100 here — alongside 99 others — read 3 September 2026
topcareer @topcareerschool · 23,152 Telegram ranks this channel #82 of 100 here — alongside 99 others — read 18 September 2026
DigitalHR (ДиджиталлЭйчАр): работа | вакансии | рекрутинг | стартапы @digital_hr · 31,942 Telegram ranks this channel #85 of 100 here — alongside 99 others — read 6 September 2026
HR[хаб]вакансии @hrhubvacancy · 22,924 Telegram ranks this channel #90 of 100 here — alongside 99 others — read 20 September 2026
This channel appears in 8 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 15 November 2026 — this
entry's latest reading, not the date you are reading this.
“рекрутач.” (@recrutach), 11,003 subscribers as measured 15 November 2026. Telegram Register, tgregister.com/channel/recrutach.
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.