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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

22,788subscribers

-89 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 live7 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 7 November 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 the other topics.

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

22,49422,91822,7067 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 subscribers2 October 2026 — 22,662 subscribers7 October 2026 — 22,606 subscribers12 October 2026 — 22,583 subscribers14 October 2026 — 22,576 subscribers15 October 2026 — 22,571 subscribers16 October 2026 — 22,556 subscribers16 October 2026 — 22,557 subscribers18 October 2026 — 22,549 subscribers19 October 2026 — 22,538 subscribers19 October 2026 — 22,542 subscribers20 October 2026 — 22,538 subscribers22 October 2026 — 22,546 subscribers23 October 2026 — 22,532 subscribers24 October 2026 — 22,527 subscribers25 October 2026 — 22,522 subscribers26 October 2026 — 22,519 subscribers27 October 2026 — 22,522 subscribers28 October 2026 — 22,506 subscribers29 October 2026 — 22,494 subscribers30 October 2026 — 22,612 subscribers31 October 2026 — 22,693 subscribers1 November 2026 — 22,734 subscribers3 November 2026 — 22,745 subscribers4 November 2026 — 22,758 subscribers5 November 2026 — 22,770 subscribers6 November 2026 — 22,785 subscribers7 November 2026 — 22,788 subscribers22,7887 August 20267 November 2026
57 measurements spanning 92 days, net -89. 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 22,430–22,982 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
7 Nov 2026, 08:5622,788+3
6 Nov 2026, 09:3622,785+15
5 Nov 2026, 08:5022,770+12
4 Nov 2026, 09:4622,758+13
3 Nov 2026, 08:0522,745+11
1 Nov 2026, 07:4422,734+41
31 Oct 2026, 08:3522,693+81
30 Oct 2026, 10:0922,612+118
29 Oct 2026, 10:2622,494-12
28 Oct 2026, 06:3122,506-16
27 Oct 2026, 07:1822,522+3
26 Oct 2026, 08:3722,519-3
25 Oct 2026, 08:4622,522-5
24 Oct 2026, 09:0022,527-5
23 Oct 2026, 07:2722,532-14
22 Oct 2026, 07:2022,546+8
20 Oct 2026, 23:2722,538-4
19 Oct 2026, 23:4622,542+4
19 Oct 2026, 02:2822,538-11
18 Oct 2026, 00:4422,549first reading

Engagement

65 posts held, back to 9 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 94 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.6%
avg views ÷ 22,788 subscribers
Avg views / post
4,930
8 posts measured
Reaction rate
0.758%
reactions ÷ views · ER floor
Posts in window
8
of 65 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 held65 (9 July 2026 – 5 November 2026)
Views total39,420
Reactions total299
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 02:35 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
3m 11s
Average length
48s

Measured directly from 4 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

3,445 reactions across 64 posts, in 42 distinct kinds. The most used accounts for 22.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤡77822.6%
👍63318.4%
❤48514.1%
🔥2667.72%
💩2146.21%
😁1955.66%
🤬1223.54%
🥴1173.40%
✍1153.34%
🤣992.87%
😱782.26%
💊310.9%
🙉310.9%
😢300.871%
🤮290.842%
🤯270.784%
👎220.639%
🤔210.61%
🤝190.552%
🍌180.522%
22 further kinds1153.34%

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 65 of the 65 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 3,445 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 65 most recent posts we hold, published 9 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 8 posts held from the last 30 days (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).

5 Nov 2026, 13:46 UTC≈3,290 views51 reactionsread 7 November 2026

#datsteam DatsTeam как работодателя сейчас категорически не рекомендую. По моим наблюдениям, последние четыре года эта российская компания последовательно деградирует: управленческий хаос, нестабильная инфраструктура и токсичная коммуникация стали привычной частью работы. Сотрудники распределены по множеству юридических лиц, зарплаты выплачиваются в криптовалюте или по серым схемам. Такая организация оставляет ощущ…

👍30🔥9✍8❤3🤡1

2 Nov 2026, 14:09 UTC≈5,760 views59 reactionsread 7 November 2026

#бспб Летом проходил собеседование в БСПБ на QA лида. ЗП просил на руки 300к, для них это оказалось много, сторговались на 280к, это уровень 2024 года. Собес с HR прошел хорошо. Техсобес на 1.5 часа тоже прошел, ничего сложного. После дали объемное тестовое задание из 5 задач на написание тест-кейсов, тестового плана, кучи sql запросов. С нейронкой, из-за большого объема, справился часа за 4. Потом был финал в офисе…

👍42🗿11❤3✍1👎1😁1

30 Oct 2026, 09:52 UTC≈8,520 views79 reactionsread 7 November 2026

#purrweb Работал в компании 3 года, пришёл без опыта как и большинство. Раньше это была действительно хорошая компания для джунов, куда брали без опыта, был приятный вайбик и дружелюбная атмосфера, куча плюшек, вечеринки за счёт компании каждый месяц, дмс, стабильные ресайзы ЗП раз в пол года и т.д. Минусов только 2: трекер и ЗП немного ниже рынка. В 24-м году один из создателей компании ушёл на покой, за главного о…

✍36😁25❤8🔥5😢4💯1

27 Oct 2026, 15:17 UTC≈9,560 views27 reactionsread 7 November 2026
Photo

Ваш опыт может помочь кому-то сделать следующий шаг в карьере Кто-то только собирается войти в IT и выбирает ментора, кто-то хочет сменить компанию, повысить грейд или освоить новый стек. В таких ситуациях особенно полезно узнать мнение людей, которые уже сталкивались с похожими задачами. Ваш честный отзыв может подсказать новичку, на что обратить внимание при выборе наставника, помочь опытному специалисту оценить …

🤡13❤5🔥5💯2👍1🙈1

18 Oct 2026, 10:25 UTC≈2,520 views9 reactionsread 21 October 2026

Сеньор против вайбкодера: кто напишет проект быстрее, если отключить интернет? Говорят, AI скоро заменит разработчиков. Мы решили проверить это: посадили рядом сеньора и вайбкодера, дали одно тестовое и начали усложнять. Отключили интернет, подключили чайка-менеджера и в какой-то момент удалили весь проект 👇 https://www.youtube.com/watch?v=qzNzHfJ24bE https://www.youtube.com/watch?v=qzNzHfJ24bE https://www.youtube…

😁7❤1🔥1

15 Oct 2026, 13:35 UTC≈3,490 views12 reactionsread 21 October 2026

Как работать с AI, чтобы он не заменил тебя, а ускорил / Ультимативный курс по AI Мы собрали полный курс по AI для айтишников: от базы, которая нужна каждому, до отдельных глав для бэкенда, фронта, мобилок, QA и аналитиков. Почти 6 часов практики без воды 👇 https://youtu.be/1XIuYoHev-Y https://youtu.be/1XIuYoHev-Y https://youtu.be/1XIuYoHev-Y ✔️ ChatGPT, Claude, Gemini, Perplexity и DeepSeek: чем они отличаются и …

🔥9❤3

14 Oct 2026, 05:32 UTC≈4,210 views57 reactionsread 21 October 2026
Forwarded from @m0rtymerr_channel

Posted without readable text

😁27❤20🔥6👍3👏1

8 Oct 2026, 13:30 UTC≈1,980 views7 reactionsread 13 October 2026
Forwarded from @m0rtymerr_channel

Откуда брать клиентов, если бюджета на маркетинг нет / Подкаст с Антоном Власовым Позвал в гости Антона Власова, чтобы поговорить про маркетинг и построение личного бренда: кому надо, сколько стоит денег и можно ли без них. https://www.youtube.com/watch?v=MQR6X9v6f2o https://www.youtube.com/watch?v=MQR6X9v6f2o https://www.youtube.com/watch?v=MQR6X9v6f2o В подкасте разобрали: ✔️ сколько денег реально закладывать на…

🤡3❤2👍1🔥1

8 Oct 2026, 06:25 UTC≈5,970 views19 reactionsread 21 October 2026
Forwarded from @platform_2rVideo

Как тратить меньше времени на поиск работы В 2026 году процесс трудоустройства может занимать от 3 до 6 месяцев. Рынок заполонил нейрорекрутинг: прежде чем поговорить с живым человеком, нужно пройти ATS-фильтры. 👾 Это только начало. Дальше могут быть интервью с HR, техлидом, руководителем и тестовое задание. На каждый этап уходит время, а гарантий нет: после всей этой воронки кандидату все равно могут отказать на ф…

🤡12👍4😁3

6 Oct 2026, 13:33 UTC≈2,920 views22 reactionsread 13 October 2026
Forwarded from @m0rtymerr_channel

Поговорили с со-основателем Хантфлоу, а не стыдно ли ему https://www.youtube.com/watch?v=oO6-jH9K44Y https://www.youtube.com/watch?v=oO6-jH9K44Y https://www.youtube.com/watch?v=oO6-jH9K44Y Ладно, это рофл, дискуссия получилась интересная: где-то прижимали меня, где-то давил я. Обсудили из чего строится выручка ATS компаний, как они обращаются с персональными данными и продают ли их куда-то. Является ли хантфлоу ин…

👍9🤡9❤2🔥2

4 Oct 2026, 15:20 UTC≈1,390 views47 reactionsread 5 October 2026
Forwarded from @m0rtymerr_channelVideo message

Video message, posted without a caption

🤡44👍2🗿1

Showing the 12 most recent of 65 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 2 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“Отзывы об IT Компаниях” (@nazarov_interviews), 22,788 subscribers as measured 7 November 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.