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Channel

Рекрутинг, котики и апокалипсис (Кира Кузьменко)

@kirafound

Verified by Telegram

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

14,519subscribers

-567 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-1001780707547
TypeChannel
Username@kirafound
DescriptionПро жизнь внутри рекрутинга и среди котов. 👉 NEWHR.org — найдём вам кандидатов по всему миру 👉 NEWHR Data — зарплатная аналитика 👉 HelloNewJob.org — курс про поиск работы 👉 Собес — подкаст про поиск работы 👉 Карьерная витаминка — микро-подкаст
Created18 November 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/kirafound

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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

14,50416,44915,476.514,5196 August 202611 November 2026
61 measurements spanning 97 days, net -567. 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 14,212–16,741 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
11 Nov 2026, 07:1614,519+5
9 Nov 2026, 13:3914,514+1
8 Nov 2026, 05:2214,513-3
7 Nov 2026, 00:0514,516-6
4 Nov 2026, 22:4814,522-2
3 Nov 2026, 22:4714,524+4
2 Nov 2026, 20:1014,520+8
1 Nov 2026, 17:4014,512+2
31 Oct 2026, 19:0914,510+6
29 Oct 2026, 18:1114,504-3
28 Oct 2026, 21:3714,507-439
27 Oct 2026, 19:5714,946+4
26 Oct 2026, 21:0014,942+61
25 Oct 2026, 20:0114,881+342
24 Oct 2026, 18:4114,539-384
23 Oct 2026, 15:2714,923-51
22 Oct 2026, 12:1914,974-3
21 Oct 2026, 05:0914,977-1
20 Oct 2026, 00:0614,978-5
18 Oct 2026, 22:5514,983first reading

Engagement

46 posts held, back to 19 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 75 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.3%
avg views ÷ 14,519 subscribers
Avg views / post
3,540
14 posts measured
Reaction rate
3.31%
reactions ÷ views · ER floor
Posts in window
14
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held46 (19 June 2026 – 12 November 2026)
Views total49,490
Reactions total1,640
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 19:55 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
≈1,580
Videos
≈133
Links
≈873

Lifetime counters from Telegram’s own channel header, read 13 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.

Video runtime
1m 28s
Average length
44s

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

6,195 reactions across 45 posts, in 28 distinct kinds. The most used accounts for 27.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁1,72827.9%
💔1,20319.4%
❤67710.9%
😢5048.14%
🔥3255.25%
🤗2674.31%
😨2614.21%
💩2323.74%
🎉1552.50%
👍1532.47%
😱1462.36%
😭1111.79%
🆒871.40%
😐861.39%
🤨781.26%
❤‍🔥550.888%
💯510.823%
👨‍💻140.226%
👀130.21%
🤔110.178%
8 further kinds380.613%

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 46 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 6,358 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 19 June 2026 to 12 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
9
across the posts below
Posts paid on
4
of 46 we hold a reading for · 9%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kirafound. 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 46 most recent posts we hold for this entry, published 19 June 2026 to 12 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.

Recent posts

Telegram’s own ‘edited’ marker: 4 of 14 posts held from the last 30 days (28.6%) 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).

12 Nov 2026, 18:48 UTC≈1,840 views81 reactions5 Starsread 13 November 2026

Доросла до того, что попросила себе свой собственный sandbox (песочницу) на сервере у нашего СТО, чтобы уже не только через MCP что-то выкатывать, а уже самостоятельно разрабатывать наживую всю архитектуру нашей внутренней NEWHR-People-DB 🤩 Я уже 3 месяца пилю свою базу данных мечты, чтобы: • вся-вся-вся контекстная инфа, которую мы знаем о кандидате в одном месте, по всем проектам, по всем резюме, по всем фидбекам…

🔥48❤23👏6💯2😁2

10 Nov 2026, 12:01 UTC≈2,310 views96 reactionsread 13 November 2026
Photo

Вас собеседует не человек, а ИИ. Что делать? Новый эпизод «Собеса» Разбираемся, как это устроено с точки зрения работодателя и как к такому подготовиться кандидату. Одна из героинь нашего выпуска, Света Болотова (linkedin), прошла около 60 собеседований на международном рынке, и часть из них вёл ИИ-рекрутер. Света поделилась, как готовилась к интервью с ИИ, чем они отличаются от обычных и чем в итоге закончился её …

💔82❤11👀2👍1

5 Nov 2026, 13:42 UTC≈3,090 views64 reactionsread 13 November 2026
Photo

Чего бизнес сейчас хочет от HRD и Head of Recruiting, с учётом трансформации рынка и изменившихся задач бизнеса В октябре я поговорила с 14 руководителями IT/Tech-компаний: 7 HRD и 7 Head of Recruiting. Если коротко: 👉 от HRD сейчас хотят экономии денег 👉 от Head of Recruiting — скорость и повышение качества найма при меньших ресурсах. Наше исследование продолжается, но я уже готова делиться с респондентами первыми…

😁43❤10👍6🔥4💯1

3 Nov 2026, 15:34 UTC≈3,070 views111 reactionsread 13 November 2026
Photo

Что работало при поиске работы в 2023-м, а в 2026-м уже нет — новый эпизод «Собеса» уже вышел! Можно отправить сто резюме и остаться невидимым, а можно сложить из опыта самолётик, который долетит до нужного стола. Про это и поговорим. В прошлом эпизоде мы смотрели со стороны работодателя: как компании справляются с потоком резюме и откликов и что это значит для тех, кто откликается. Сегодня переходим на сторону ка…

😭83❤17👍8🔥2💯1

29 Oct 2026, 13:25 UTC≈3,860 views44 reactionsread 13 November 2026

Как нанимают проджект-менеджеров: взгляд нанимающего менеджера «Мне не нужно, чтобы проджект досконально разбирался в RabbitMQ, но он должен понимать, почему команда выбрала именно Rabbit, а не Kafka. Иначе это не PM, а просто расширение для Jira». В активные периоды Евгений Азёмка, программный менеджер в BrainRocket, проводит по 2 собеседования в день. Он нанимает проджект- и программных менеджеров в бэкенд-команд…

🔥19❤17😁5💘3

28 Oct 2026, 16:58 UTC≈3,550 views84 reactionsread 13 November 2026

«Почему не стоит закрывать ваш отдел первым?» — топовый вопрос из сегодняшнего мока Для контекста: мы делаем моки с нанимающими менеджерами для выпускников Hello new job! Сегодня первый раз услышала вопрос в такой формулировке, он был задан в контексте вакансии L&D (обучение и развитие) в ключе AI-трансформации и результативности такого внутреннего отдела для бизнеса. Что-то мне подсказывает, что такие вопросы нач…

😁57😢15⚡6❤3🤔2💔1

28 Oct 2026, 15:59 UTC≈3,470 views154 reactionsread 13 November 2026
Photo

Найден лучший костюм на Хеллоувин 2026 🙈️️️️️️😅️️

😢109😁33😭7🎉4😱1

27 Oct 2026, 19:11 UTC≈3,670 views119 reactionsread 13 November 2026
Photo

15 000 резюме на одну роль. Как теперь компании выбирают кандидатов Собес вернулся! Сегодня вышел 1 эпизод 5го сезона 🥰 Весь сезон мы будем говорить о том, как AI трансформирует рынок, найм и поиск работы. Будем разбирать реальные кейсы и разбираться с логикой работодателей. Моя задача описывать реальность такой, какая она есть, без мифов и «волшебных таблеток», потому что только с опорой на реальность можно приним…

😁71❤27🔥19❤‍🔥2

22 Oct 2026, 12:35 UTC≈3,870 views86 reactionsread 13 November 2026
Photo

Как AI меняет запрос на найм: 5 типов компаний из практики NEWHR. Часть 1 За последние 1,5 года половина наших кейсов в NEWHR — найм на роли, которых раньше не было ни у бизнеса, ни у рынка: CAIO, founding engineer, forward deployed engineer, product engineer, design engineer, LLMOps. Часто поиск начинается с обсуждения: какую изменившуюся задачу бизнеса должен решить человек и за что он будет отвечать. А как он буд…

😨57❤‍🔥12🔥8❤4👍4😁1

19 Oct 2026, 19:58 UTC≈3,390 views114 reactionsread 13 November 2026
Photo

Какой продуктовый аналитик нужен сейчас бизнесу? С учётом текущей AI-трансформации. Мы в NEWHR прямо сейчас готовим к запуску наше ежегодное исследование рынка дата и продуктовых аналитиков (тут можно посмотреть прошлогоднее), и для этого много общаемся с хедами аналитики и CDO из нашего экспертного совета. Если вы аналитик и хотите поучаствовать в нашем исследовании и получить результаты как респондент, оставьте п…

😁88❤15👍5🤔3🔥2💘1

16 Oct 2026, 16:27 UTC≈3,700 views161 reactionsread 13 November 2026
Photo

Пятница же? Рекрутеры, давайте расскажем про самые «странные» требования от нанимающих менеджеров, которые вы когда-либо встречали в своей практике? Те, которые никак напрямую не относятся к способности кандидата выполнять задачи роли. Я начну с бриллиантов моей коллекции: • Разработчик должен быть с усами • Линия зубов у кандидатки должна быть ровной • Кандидат должен быть москвичом (лучше во 2м поколении), женат,…

😢107😁32❤9😭8💔3👍2

16 Oct 2026, 13:27 UTC≈3,400 views102 reactionsread 13 November 2026
Photo

Как меняется роль HR — 21 октября в прямом эфире в хорошей компании поговорю про это в хорошей компании и поделюсь промежуточными инсайтами моего текущего исследования рынка про трансформацию роли и задачи HRD и Head of Recruiting. Если вам такое интересно, приходите, буду рада повидаться! Ниже — ссылка подробности и на регистрацию

💩76❤16🔥6👍4

Showing the 12 most recent of 46 posts we hold for @kirafound. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@kirafound 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
19 August 2026
Most recent edit
2 September 2026

Forward network

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 8 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.

getmatch: канал про карьеру в IT
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Telegram ranks this channel #6 of 95 here — alongside 94 others — read 5 October 2026
RelocationDEV by GeeckoMove
@relocationdev · 23,676
Telegram ranks this channel #10 of 89 here — alongside 88 others — read 17 September 2026
AgileFluent: карьера без границ
@agilefluent · 48,807
Telegram ranks this channel #10 of 95 here — alongside 94 others — read 28 August 2026
Нагуглила карьеру
@dreamcatchme · 27,697
Telegram ranks this channel #14 of 92 here — alongside 91 others — read 12 September 2026
Рефералки в IT | Вакансии и резюме
@refer_me_it · 31,820
Telegram ranks this channel #14 of 89 here — alongside 88 others — read 7 September 2026
lalalanam
@lalalanam · 18,795
Telegram ranks this channel #26 of 91 here — alongside 90 others — read 4 October 2026
Карьера в топ от Анны Знаменской
@annaznamenskaya · 29,995
Telegram ranks this channel #29 of 98 here — alongside 97 others — read 6 September 2026
RemoteGeekjob
@remotegeekjob · 26,005
Telegram ranks this channel #35 of 97 here — alongside 96 others — read 14 September 2026
Job for Chiefs (TOP vacancies)
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Telegram ranks this channel #35 of 99 here — alongside 98 others — read 31 August 2026
🌎 CHOICY.WORK: Global карьера | вакансии | стартапы | удалёнка
@choicy_work · 27,677
Telegram ranks this channel #36 of 95 here — alongside 94 others — read 11 September 2026
Без aspera
@bezaspera · 73,174
Telegram ranks this channel #37 of 98 here — alongside 97 others — read 20 August 2026
Хабр Карьера
@habr_career · 33,749
Telegram ranks this channel #40 of 97 here — alongside 96 others — read 4 September 2026
IT Работа: Сербия и удаленка LENKEP 🔥
@youritjob · 39,020
Telegram ranks this channel #44 of 86 here — alongside 85 others — read 1 September 2026
Noukash
@noukashblog · 21,576
Telegram ranks this channel #52 of 95 here — alongside 94 others — read 23 September 2026
VadimAlesya_Key
@vadimalesyakey · 37,028
Telegram ranks this channel #60 of 90 here — alongside 89 others — read 5 October 2026
Job for Products and Projects
@forproducts · 70,729
Telegram ranks this channel #61 of 98 here — alongside 97 others — read 20 August 2026
Oh, world!
@ohwrld · 26,600
Telegram ranks this channel #62 of 88 here — alongside 87 others — read 12 September 2026
Job for Analysts & Data Scientists
@foranalysts · 37,897
Telegram ranks this channel #62 of 96 here — alongside 95 others — read 1 September 2026
Digital Ниндзя
@digital_ninjaa · 41,896
Telegram ranks this channel #63 of 91 here — alongside 90 others — read 30 August 2026
Job in IT&Digital
@geekjobs · 51,951
Telegram ranks this channel #63 of 98 here — alongside 97 others — read 25 August 2026
Гапонова и её английский
@gaponova · 22,433
Telegram ranks this channel #74 of 91 here — alongside 90 others — read 20 September 2026
Marina Antaria / Кипр для жизни и инвестиций
@antariahomes · 21,380
Telegram ranks this channel #83 of 87 here — alongside 86 others — read 23 September 2026
Job for QA
@forallqa · 22,934
Telegram ranks this channel #85 of 95 here — alongside 94 others — read 20 September 2026
Relocate - зарубежные вакансии на релокацию и удаленку
@young_relocate · 53,559
Telegram ranks this channel #85 of 97 here — alongside 96 others — read 25 August 2026

This channel appears in 25 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Рекрутинг, котики и апокалипсис (Кира Кузьменко)” (@kirafound), 14,519 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/kirafound.

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.