Telegram RegisterThe public register of Telegram

Channel

Рекрутинг, котики и апокалипсис (Кира Кузьменко)

@kirafound

Verified by Telegram

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

15,042subscribers

-44 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
Created18 November 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/kirafound

Growth

15,04215,08915,065.56 August 2026 — 15,086 subscribers6 August 2026 — 15,086 subscribers7 August 2026 — 15,085 subscribers8 August 2026 — 15,089 subscribers9 August 2026 — 15,087 subscribers10 August 2026 — 15,081 subscribers11 August 2026 — 15,069 subscribers12 August 2026 — 15,062 subscribers13 August 2026 — 15,055 subscribers14 August 2026 — 15,042 subscribers6 August 202614 August 2026
10 measurements spanning 9 days, net -44. 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 15,035–15,096 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 21:2715,042-13
13 Aug 2026, 09:4615,055-7
12 Aug 2026, 06:2615,062-7
11 Aug 2026, 09:3215,069-12
10 Aug 2026, 08:4315,081-6
9 Aug 2026, 10:5115,087-2
8 Aug 2026, 08:5215,089+4
7 Aug 2026, 06:5115,085-1
6 Aug 2026, 07:5115,086no change
6 Aug 2026, 06:3615,086first reading

Engagement

18 posts held, back to 19 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
20.3%
avg views ÷ 15,042 subscribers
Avg views / post
3,060
12 posts measured
Reaction rate
4.51%
reactions ÷ views · ER floor
Posts in window
12
of 18 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 13 August 2026
Posts held18 (19 June 202613 August 2026)
Views total36,730
Reactions total1,655
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 18:26 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
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

2,363 reactions across 17 posts, in 21 distinct kinds. The most used accounts for 30.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💔72230.6%
😁43518.4%
2199.27%
😢1556.56%
🤗1546.52%
🔥1195.04%
🎉893.77%
🆒873.68%
😐863.64%
😱833.51%
🤨783.30%
👍622.62%
💯190.804%
👨‍💻140.592%
👀110.466%
😨90.381%
😭90.381%
🙏60.254%
🤣40.169%
👌10.042%
1 further kind10.042%

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 18 of the 18 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 2,526reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 19 June 2026 to 13 August 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
4
across the posts below
Posts paid on
3
of 18 we hold a reading for · 17%
Most on one post
2
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 18 most recent posts we hold for this entry, published 19 June 2026 to 13 August 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

13 Aug 2026, 12:30 UTC≈1,140 views145 reactionsread 14 August 2026
Photo

Hell New Job и другие мемы Сегодня вечером — выпускной у X потока и я хожу по чату и скриншочу мемы, которые сгенерили ученики и не могу не поделиться ими с вами :) Особенно мне нравится про Hell и про Тома Круза, конечно 😅🙈

😱56😢54😁247🔥3👍1

12 Aug 2026, 16:02 UTC≈1,640 views116 reactionsread 14 August 2026
File

🗣️Чтобы было понятнее, какой тип кейсов может привести к отзыву оффера, я рассказала голосовым реальный кейс, который случился с моим знакомым, когда он в начале переговоров сделал всё в целом нормально, но потом передавил.

😁86🔥1310👍6🤔1

12 Aug 2026, 16:01 UTC≈1,490 views92 reactionsread 14 August 2026
Photo

Так можно ли торговаться на этапе оффера или нет? — Короткий ответ: да, но не торгуясь, а обсуждая. Мой пост о том, что мало кто идёт в переговоры на этапе оффера собрал много тревожных комментариев: «вот я пойду торговаться, а у меня оффер отзовут и что тогда?» Очень понятное опасение, особенно в текущих реалиях рынка, когда офферами, мягко скажем, не разбрасываются. У нас на курсе есть большая лекция на тему «Пер

💔5818🔥9👍7

11 Aug 2026, 10:23 UTC≈2,490 views167 reactions1 Starread 14 August 2026
Photo

Дожили, вакансия для тех, кто ещё не выгорел... 😂 Вангую, что не найдут они такого человека...

🎉89😁54👨‍💻9😭73💯2🔥2👌1

10 Aug 2026, 16:40 UTC≈2,680 views92 reactions1 Starread 14 August 2026

Ребят, сегодня активизировались спамеры и пишут всем подписчикам моего канала в личку и обещают доход. 1. Это мошенники 2. Баньте их, пожалуйста 3. Если знаете, как с таким можно ещё бороться, расскажите, пожалуйста

💔7318🙏1

10 Aug 2026, 14:30 UTC≈2,680 views57 reactionsread 14 August 2026

В ролевую игру про переговоры на этапе оффера уже начали играть на собесе 😅🙈 Простите, не могу не показать вам этот шедевр: https://youtu.be/UD1OPEveEmE

💔36😁12👍54

10 Aug 2026, 13:14 UTC≈2,580 views139 reactionsread 14 August 2026
Photo

Как вы думаете, сколько людей торгуются на этапе оффера? Я посмотрела международную статистику, есть данные, что вообще хоть как-то обсуждают условия оффера (не только деньги) только 46% мужчин и всего 12% женщин. А знаете, что происходит с ними дальше? 9 из 10 добиваются улучшений условий! Подчеркну, улучшений не только в деньгах. Интересно, что мой личный опыт работы в рекрутинге говорит, что в русскоязычном прос

💔7426🔥25👍7😢3👨‍💻2😭2

6 Aug 2026, 11:35 UTC≈3,390 views115 reactionsread 14 August 2026
Photo

Ищу нанимающих менеджеров для мок-интервью по вашим вакансиям в нашем закрытом клубе выпускников Hello New Job! Если вы нанимаете и хотите доступ к опытным специалистам — если хотите, чтобы про найм в вашу команду узнало больше людей — у меня к вам предложение. На курсе Hello New Job! мы запускаем новый формат: раз в неделю действующий нанимающий менеджер проводит интервью для наших учеников. Каждую неделю — разный

💔8915🔥7👍4

3 Aug 2026, 18:18 UTC≈3,620 views89 reactionsread 14 August 2026

«Hiring assistant в linkedin» — ребят, кто-нибудь пользовался им в последние полгода? Если да, шепните в личку или в комментариях, пожалуйста, хочу пару вопросов задать и пошептаться 🙂

😢75👀113

31 Jul 2026, 11:33 UTC≈5,810 views241 reactionsread 14 August 2026
Photo

К нам на Geekjob.ru просочились мошенники под видом работодателей. У нас есть своя система отслеживания таких мошенников, но в этот раз удалось просочиться сквозь неё (спасибо всем, кто написал нам, мы их забанили, конечно же и проапдейтили наши системы проверки). В этот раз это были мошенники, которые просили кандидатов установить свой софт и таким образом пытались сграбить данные. Пользуясь случаем, я хочу напомн

🤗15438😱27🔥7😨6🙏5👍4

23 Jul 2026, 14:48 UTC≈5,020 views145 reactionsread 14 August 2026
Photo

🎙 Ищем партнёра для нового сезона «Собеса». Тема сезона: «Как меняется найм в эпоху AI» 🚨 UPD Важно: в данный момент мы ищем НЕ экспертов/спикеров, а только компании-партнеров, которые хотели бы разместить рекламу в подкасте. «Собес» — подкаст про поиск работы, который я делаю вместе со студией Либо/Либо. На данный момент мы с ребятами выпустили уже четыре сезона, а недавно списались и поняли, что рынок найма в IT

💔106👍1712🔥9😁1

22 Jul 2026, 11:21 UTC≈4,190 views257 reactionsread 13 August 2026
Photo

За последние полгода рынок труда поменялся больше, чем за последние 5 лет. Я вижу огромное влияние ИИ и на сам процесс найма, и на процесс поиска работы + неизбежная трансформация профессий под эгидой ИИ. Всё это привело к тому, что я на 80% перерабатываю свой курс Hello New Job! Потому что механики поиска работы, нормально срабатвывавшие раньше, сейчас либо отмирают, либо трансформируются. А то, что раньше было nic

💔134🆒87🔥1911👍5😁1

Showing the 12 most recent of 18 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.

Citation-graph rank

Citation-graph rank — 175,082 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Рекрутинг, котики и апокалипсис (Кира Кузьменко)” (@kirafound), 15,042 subscribers as measured 14 August 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.