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Channel

Отзывы об IT Компаниях

@nazarov_interviews

On this record: Topic · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

22,821subscribers

-56 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002452482065
TypeChannel
Username@nazarov_interviews
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/nazarov_interviews

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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 why it has no browse page of its own yet.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

22,82122,91822,869.57 August 2026 — 22,877 subscribers8 August 2026 — 22,886 subscribers9 August 2026 — 22,885 subscribers10 August 2026 — 22,868 subscribers11 August 2026 — 22,876 subscribers12 August 2026 — 22,864 subscribers13 August 2026 — 22,870 subscribers14 August 2026 — 22,891 subscribers15 August 2026 — 22,908 subscribers17 August 2026 — 22,907 subscribers18 August 2026 — 22,908 subscribers19 August 2026 — 22,909 subscribers20 August 2026 — 22,913 subscribers21 August 2026 — 22,918 subscribers23 August 2026 — 22,915 subscribers24 August 2026 — 22,916 subscribers26 August 2026 — 22,911 subscribers28 August 2026 — 22,885 subscribers29 August 2026 — 22,851 subscribers30 August 2026 — 22,853 subscribers31 August 2026 — 22,848 subscribers1 September 2026 — 22,857 subscribers2 September 2026 — 22,858 subscribers3 September 2026 — 22,866 subscribers5 September 2026 — 22,863 subscribers8 September 2026 — 22,860 subscribers11 September 2026 — 22,837 subscribers13 September 2026 — 22,829 subscribers16 September 2026 — 22,830 subscribers18 September 2026 — 22,821 subscribers7 August 202618 September 2026
30 measurements spanning 42 days, net -56. 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 22,806–22,933 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
18 Sept 2026, 18:2122,821-9
16 Sept 2026, 12:2222,830+1
13 Sept 2026, 06:1922,829-8
11 Sept 2026, 06:3622,837-23
8 Sept 2026, 10:1722,860-3
5 Sept 2026, 07:3522,863-3
3 Sept 2026, 10:2322,866+8
2 Sept 2026, 07:1622,858+1
1 Sept 2026, 08:5422,857+9
31 Aug 2026, 06:0422,848-5
30 Aug 2026, 03:3422,853+2
29 Aug 2026, 05:4122,851-34
28 Aug 2026, 05:0322,885-26
26 Aug 2026, 00:1222,911-5
24 Aug 2026, 21:3322,916+1
23 Aug 2026, 05:0622,915-3
21 Aug 2026, 20:0622,918+5
20 Aug 2026, 15:0822,913+4
19 Aug 2026, 14:5622,909+1
18 Aug 2026, 13:2322,908first reading

Engagement

34 posts held, back to 9 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.4%
avg views ÷ 22,821 subscribers
Avg views / post
4,200
2 posts measured
Reaction rate
0.787%
reactions ÷ views · ER floor
Posts in window
2
of 34 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 27 August 2026
Posts held34 (9 July 202627 August 2026)
Views total8,390
Reactions total66
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:59 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 36s
Average length
48s

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

2,187 reactions across 33 posts, in 35 distinct kinds. The most used accounts for 23.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤡50723.2%
👍46021.0%
28713.1%
🔥1637.45%
🤬1175.35%
🥴1004.57%
😁994.53%
🤣994.53%
😱723.29%
572.61%
🙉301.37%
😢221.01%
🤯221.01%
🍌180.823%
💩170.777%
🤔170.777%
🤝160.732%
🌭150.686%
👎140.64%
😭130.594%
15 further kinds421.92%

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 34 of the 34 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 2,187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 9 July 2026 to 27 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.

Recent posts

27 Aug 2026, 19:07 UTC≈4,490 views26 reactionsread 3 September 2026
Forwarded from @nazarov_life

Все чаще слышу о том, что на HH прилетает бан на резюме от корпоратов. Если с вами такое случалось, то отпишитесь пожалуйста моему ресерчеру @OM_research Убедительная просьба начинать сообщение с хештега #баНН

🔥13🤡7😁51

25 Aug 2026, 15:33 UTC≈3,900 views40 reactionsread 3 September 2026
Forwarded from @m0rtymerr_channel

Go в Go / Полный гайд с домашками и без занудной теории https://youtu.be/NRHT7X_DDIM https://youtu.be/NRHT7X_DDIM https://youtu.be/NRHT7X_DDIM Мы вырезали из курса нудную теорию, которая никак не пригодится ни на собесах, ни в работе. Все разбираем через практику. Главы курса построены так: разобрали тему → написали код в уроке → выполнили домашку → посмотрели разбор, проверили себя → перешли к следующей главе. Гл

🤡2111👍4🔥3😁1

14 Aug 2026, 07:50 UTC≈8,060 views122 reactionsread 3 September 2026

#postgres_professional Часть вторая. Реструктуризация. И я бы даже не стал писать этот отзыв: ну да, компания с плохеньким менеджментом, но в хорошей струе корпоративных заказов. Однако настала она - реструктуризация. Вдруг внезапно в середине лета меняется гендир. Новый объявляет, что рынок изменился, поэтому будут "перетрахивать" буквально каждый отдел. Далее на Cnews выходит новость, что сократят до 30% персонал

6330🔥9👍6😁6😭4🤷2😢2

14 Aug 2026, 07:45 UTC≈6,530 views61 reactionsread 3 September 2026

#postgres_professional Postgres Professional Привет всем! Решил оставить отзыв о компании, в которой работал и из которой ушёл. Да, это та самая, в которой Бартунов. Многие мои знакомые, когда я туда устроился, слали мне одобрительные реакции: мол, ну круто ты устроился, с самим Олегом будешь работать, это же топ! Мой отзыв нацелен на то, чтобы развеять некоторые иллюзии насчёт работы в этой организации. А ещё я с

36👍14🤔8🔥3

13 Aug 2026, 09:56 UTC≈4,450 views27 reactionsread 3 September 2026
Forwarded from @nazarov_travel

Posted without readable text

🤡10🤣5👍4💩43🔥1

13 Aug 2026, 08:40 UTC≈5,880 views66 reactionsread 3 September 2026

Я понимаю, что многие такие щас: лол пук, меня то точно не коснется Но ребята из Мвидео тоже так думали. Лучше изучить заранее риски и ловушки

👍5110🔥4💩1

13 Aug 2026, 08:07 UTC≈24,000 views63 reactionsread 3 September 2026
Photo

#м_видео #м_тех М.Видео вызывает айтишников в офис в одностороннем порядке? Мне написал разработчик из М Тех ака М.Видео, рассказал, что сотрудникам на удаленке отменяют дистанционку и вызывают в офис, в Одинцово. Мой подписчик кстати живет в 700 км от Одинцово, сплошной кайф, согласны? «Антон, добрый день! Посоветуй пожалуйста, что можно сделать в сложившейся ситуации. Компания М Тех(М.Видео) в пятницу 31 июля вс

👍36🔥128🤯4🤡2😁1

11 Aug 2026, 16:36 UTC≈4,210 views0 reactionsread 13 August 2026

Разбираемся с текущими проблема айтишников, предъявляем Антону Гладкову и Владу Тену, решаем ваши проблемы из донатов Бонусом разыграю 15% скидос на профсоюзную https://youtube.com/live/ivS2rSlA8Qo?feature=share

11 Aug 2026, 11:05 UTC≈3,200 views13 reactionsread 13 August 2026
Forwarded from @m0rtymerr_channel

Закрываю все боли айтишников / Возрождение полезных IT-конференций https://youtu.be/q5rMPaI13EU https://youtu.be/q5rMPaI13EU https://youtu.be/q5rMPaI13EU Зачем делать конференцию в ноль, вкладывая более десятка миллионов из своего кармана? Все ради борьбы с лицемерием. Объясняю, как делалась конфа и для кого она предназначена, какие цели преследует и боли закрывает. Даже если вы в другом городе и не сможете приеха

🔥6👍32🌭2

11 Aug 2026, 07:59 UTC≈7,020 views187 reactionsread 3 September 2026

#МТС_Финтех Компания: #МТС , а точнее #МТС_Финтех Ставка: Продуктовый дизайнер. Но история даст размышления для любого сотрудника. Проработал почти год. Поначалу всё было прекрасно, я не мог поверить, что пробился сюда. Мне нравился офис и я был вдохнавлен на работу. Через несколько месяцев начал замечать некоторые проблемы, но не сразу среагировал на это: Нет планирования, груминга и ретро. Задачи падают в любой м

👍91😱67104💩4😨4🤡3🤮3

10 Aug 2026, 06:38 UTC≈7,090 views82 reactionsread 3 September 2026

#hdcart_pte Проходила отбор в компанию HDCart PTE на позицию e-com дизайнер. После всех этапов мне направили официальный оффер, который я приняла. Я считала, что конкурс завершён и решение о найме уже принято (весьма логично, не так ли?). Однако позднее компания отозвала оффер, объяснив это тем, что уже после его отправки завершила рассмотрение еще одного кандидата, чей опыт оказался якобы более подходящим. В итоге

👍60🔥1244💩1🤬1

7 Aug 2026, 16:33 UTC≈2,620 views9 reactionsread 10 August 2026
Forwarded from @m0rtymerr_channel

Смотрим статистику по увольнениям, как не попасть под сокращение, разбираем кейсы подписчиков уволенных https://youtube.com/live/m1nbQLSpr-Q?feature=share

5👍2🔥1😁1

Showing the 12 most recent of 34 posts we hold for @nazarov_interviews. 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.

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 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Отзывы об IT Компаниях” (@nazarov_interviews), 22,821 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/nazarov_interviews.

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.