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Channel

Иван Доронин | Карьера за рубежом

@ivandoronin

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

12,779subscribers

-117 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-1001624372579
TypeChannel
Username@ivandoronin
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged2 times, most recently 18 September 2026
On Telegramt.me/ivandoronin

Topic

Technology — 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 67% 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.

Growth

12,77912,90012,839.56 August 2026 — 12,896 subscribers7 August 2026 — 12,900 subscribers8 August 2026 — 12,893 subscribers9 August 2026 — 12,892 subscribers10 August 2026 — 12,886 subscribers11 August 2026 — 12,881 subscribers12 August 2026 — 12,879 subscribers13 August 2026 — 12,869 subscribers14 August 2026 — 12,862 subscribers16 August 2026 — 12,860 subscribers17 August 2026 — 12,859 subscribers18 August 2026 — 12,874 subscribers19 August 2026 — 12,877 subscribers21 August 2026 — 12,873 subscribers22 August 2026 — 12,869 subscribers24 August 2026 — 12,859 subscribers25 August 2026 — 12,851 subscribers26 August 2026 — 12,853 subscribers27 August 2026 — 12,852 subscribers28 August 2026 — 12,844 subscribers29 August 2026 — 12,846 subscribers30 August 2026 — 12,844 subscribers31 August 2026 — 12,840 subscribers1 September 2026 — 12,829 subscribers2 September 2026 — 12,834 subscribers3 September 2026 — 12,829 subscribers5 September 2026 — 12,819 subscribers8 September 2026 — 12,807 subscribers11 September 2026 — 12,796 subscribers13 September 2026 — 12,795 subscribers14 September 2026 — 12,789 subscribers16 September 2026 — 12,779 subscribers6 August 202616 September 2026
32 measurements spanning 41 days, net -117. 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 12,761–12,918 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
16 Sept 2026, 10:4112,779-10
14 Sept 2026, 18:1612,789-6
13 Sept 2026, 06:1512,795-1
11 Sept 2026, 11:1912,796-11
8 Sept 2026, 18:4212,807-12
5 Sept 2026, 13:5812,819-10
3 Sept 2026, 18:4112,829-5
2 Sept 2026, 12:1712,834+5
1 Sept 2026, 09:0412,829-11
31 Aug 2026, 12:0412,840-4
30 Aug 2026, 14:4412,844-2
29 Aug 2026, 13:5412,846+2
28 Aug 2026, 12:3312,844-8
27 Aug 2026, 15:0312,852-1
26 Aug 2026, 12:4212,853+2
25 Aug 2026, 11:1412,851-8
24 Aug 2026, 14:3712,859-10
22 Aug 2026, 19:3312,869-4
21 Aug 2026, 07:4312,873-4
19 Aug 2026, 13:0512,877first reading

Engagement

33 posts held, back to 14 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 48 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.28%
avg views ÷ 12,779 subscribers
Avg views / post
1,190
4 posts measured
Reaction rate
3.42%
reactions ÷ views · ER floor
Posts in window
4
of 33 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 2 September 2026
Posts held33 (14 July 2026 – 2 September 2026)
Views total4,742
Reactions total162
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 20:53 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
33s
Average length
11s

Measured directly from 3 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

1,674 reactions across 32 posts, in 22 distinct kinds. The most used accounts for 29.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥49029.3%
❤36221.6%
👍1569.32%
❤‍🔥1478.78%
🎉1468.72%
✍1066.33%
🤩905.38%
🆒392.33%
🤗281.67%
🍾241.43%
👏231.37%
💯171.02%
🤝120.717%
⚡80.478%
🙏70.418%
😍60.358%
👌50.299%
☃30.179%
🏆20.119%
🌚10.06%
2 further kinds20.119%

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 33 of the 33 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 1,711 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 14 July 2026 to 2 September 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
61
across the posts below
Posts paid on
14
of 33 we hold a reading for · 42%
Most on one post
40
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ivandoronin. 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 33 most recent posts we hold for this entry, published 14 July 2026 to 2 September 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

2 Sept 2026, 05:35 UTC802 views31 reactionsread 2 September 2026
Video

Топ 10 скиллов, которые я использую для Claude, Codex, Zcode (GLM) Ниже моя подборка 10 скилов, которые работают каждый день. Все их можно скачать либо в открытых репо на гите, либо в маркетплейсе сам Коротко, что такое skill и зачем он нужен? Это папка с инструкцией в markdown, которую AI подгружает сам, когда задача подходит. Не промпт, который вы копируете каждый раз, а упакованная логика: собрали один раз, дал…

🔥19💯4🤩3🆒2👍1🤗1🤝1

Signed Ivan Doronin

1 Sept 2026, 06:14 UTC≈1,110 views31 reactionsread 2 September 2026
Photo

Как можно быстро построить личный бренд в Linkedin? И можно ли? Мой гость набрала 1490 органических подписчиков за 3,5 недели. Так что ответ, кажется, есть. Зовут в эфир Женю Мархалюк, и это будет разговор про личный бренд в Linkedin. За 4 года Женя прошла путь от фриланс-SMM в Минске до SMM Team Lead в ОАЭ. Сейчас помогает строить личные бренды и стратегии для компаний. Вместо красивых слов - цифры: +1 490 орган…

❤21🤗4✍3🤩2🔥1

Signed Ivan Doronin

31 Aug 2026, 06:33 UTC≈1,290 views32 reactions1 Starread 2 September 2026
Photo

Теперь в моём калькуляторе IT-зарплат 134 страны и 160 ролей. Но главное изменение не в цифрах, а в том, как эти цифры считаются. Сначала о росте. Страны: было 122, стало 134. Роли: было 141, стало 160. Грейдов также 5 - от Junior до C-level. Теперь про методику, и это важнее. Раньше по части рынков вилка опиралась на один источник. Раньше по части рынков вилка опиралась на один источник, и если он ошибался, ошиб…

❤15🔥9🤩3🤗2😍2✍1

Signed Ivan Doronin

28 Aug 2026, 06:06 UTC≈1,540 views68 reactions1 Starread 2 September 2026
Photo

Заполнение каждой анкеты при отклике это двадцать минут вбивания того, что уже есть в резюме. Имя, email, телефон, история работы. И так на каждой вакансии заново. Буквально пару дней мне подписчик задал вопрос “Ваня, какое приложение ты рекомендуешь для заполения анкет на сайте”? Так зачем мне рекомендовать, если я могу создать свое. 😉 Вызов сделан! Через сутки мое приложение уже прошло модерацию в Chrome Web Stor…

❤37🔥19✍4🤩4👍3🆒1

Signed Ivan Doronin

25 Aug 2026, 06:00 UTC≈1,660 views38 reactionsread 2 September 2026
Video

Я провёл 100 раундов слепых тестов, чтобы выбрать модели для своих агентов. Не по бенчмаркам, а на своих реальных задачах. Получилось 10 моделей на 6 задачах для 20 агентов. Смысл в том, что «лучшая модель» вообще не существует. Это я понял спустя недею тестов. Есть лучшая модель под конкретный шаг конвейера, и это как правило разные модели. Почему слепые тесты, а не бенчмарки? Публичные бенчмарки меряют не то, ч…

🔥16❤7⚡6👍3🆒3✍1❤‍🔥1🤩1

Signed Ivan Doronin

24 Aug 2026, 05:30 UTC≈1,610 views42 reactionsread 2 September 2026
Photo

За последние 3 дня я закрыл покрытие зарплатного калькулятора на 98%. И он стал доступен всем. 122 страны. 139 ролей. 66 713 зарплатных вилок. 3 798 ссылок на источники - у каждого рынка написано, чем измерено и как. Это больше, чем у любого подобного инструмента в мире. Из 139 ролей 124 не имеют ни одного пробела: junior, middle, senior и lead есть на всех 122 рынках. Ещё у 10 не хватает по одной клетке. То есть …

❤‍🔥23🔥11✍4😍2👍1🤗1

Signed Ivan Doronin

21 Aug 2026, 05:30 UTC≈1,870 views48 reactionsread 2 September 2026
Photo

Я собрал свой уникальный калькулятор зарплат в IT, т.к. не смог найти универсального. Самое интересное в нём то, что в него не попало. 105 стран, 77 ролей,34 домена, 5 грейдов от Junior до C-level, 7 767 зарплатных вилок и 3 633 источников данных. Проделана просто мега работа и потрачены миллионы токенов. 😎 Но цифры - не главное. Главное - сколько пришлось пофиксить прежде, чем релизить калькулятор в прод. «Иордан…

🔥22❤10👏6✍3⚡2❤‍🔥2☃1👍1

Signed Ivan Doronin

20 Aug 2026, 05:39 UTC≈1,740 views38 reactionsread 2 September 2026
Video

Когда говорят “AI-агент для поиска работы”, обычно представляют бота, который парсит телеграм каналы и веером рассылает отклики. Я собрал прямо противоположное. 20 агентов, 6 этапов. Каждый занят одним своим делом и передаёт работу дальше. Показываю, как это устроено внутри. Фундамент. Сначала сверяем резюме, LinkedIn и то, что человек рассказал о себе на созвоне. Эти три источника почти всегда противоречат друг др…

✍9💯9🔥8🤩5🆒4👌3

Signed Ivan Doronin

19 Aug 2026, 05:30 UTC≈1,770 views40 reactions1 Starread 2 September 2026
Photo

Где тебе искать работу? Я обновил список источников вакансий: было 65, стало 100. Ссылка ниже. И вообще почему я пишу такие посты? Тут все просто. Такие подборки генерируются пачками, гуляют по всему интернету, и половина ссылок в них не работает уже год. Человек в поиске открывает 20 вкладок, половина упирается в 404 или в промо-заглушку, и он делает вывод, что поиск не работает. Хотя не работает список, по котор…

❤‍🔥17❤8🙏7🔥3👍2🤗1🤩1🆒1

Signed Ivan Doronin

18 Aug 2026, 08:47 UTC≈1,840 views53 reactionsread 2 September 2026
Photo

Мандраж на интервью не про плохой английский. Он про то, что тебя оценивают. И это лечится только практикой. Поэтому проведём её вживую. Зову на live mock-интервью с Сергеем Голуновым. Сергей, карьерный консультант с 8 годами, 4000+ часами практики и 300+ клиентами, которые получили офферы. Раньше HR-директор Bacardi по Восточно-Европейскому хабу (33 филиала), до этого HR-директор Beiersdorf (NIVEA) и talent-менедж…

🔥29❤7🤩5👍4🤗3🆒2❤‍🔥1👌1

Signed Ivan Doronin

17 Aug 2026, 05:32 UTC≈1,770 views25 reactionsread 2 September 2026
Video

Какие AI-навыки я использую каждый день? Собрал список тех, на которых держатся мои 20 ИИ-агентов для поиска работы. И понял, что половина списка вообще не про AI. Это не «что учить в 2026». Это то, чем я пользуюсь каждый день, чтобы агенты вели поиск работы за моих клиентов. Что заметил, пока собирал? Половина навыков - скучная, но супер важная база. Автоматизация по расписанию, хранение состояния, взаимозаменя…

✍8❤8🔥6❤‍🔥1🤝1🤩1

Signed Ivan Doronin

14 Aug 2026, 05:33 UTC≈1,950 views31 reactions2 Starsread 2 September 2026
Photo

За неделю ИИ-симулятор “LinkedIn под ключ” прошли 60+ человек, и за это время я внёс больше 20 изменений, обновим его до версии 2.0. Почти каждое изменение из чьего-то сообщения в личке. Расскажу про 2 главных из них. Первое. Отчёт по алгоритмам LinkedIn, все данные по состоянию на август 2026. 20 страниц, 17 источников с прямыми ссылками. Внутри: как устроена система алгоритмов 360Brew и почему пост сначала прох…

🔥17👍8❤‍🔥3👏2🤩1

Signed Ivan Doronin

Showing the 12 most recent of 33 posts we hold for @ivandoronin. 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

@ivandoronin edited 2 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
18 August 2026
Most recent edit
2 September 2026

Forward network

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.

Named by

Channels on the register whose posts name this channel's handle.

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.

AgileFluent: карьера без границ
@agilefluent · 45,636
Telegram ranks this channel #15 of 95 here — alongside 94 others — read 28 August 2026
Карьера в топ от Анны Знаменской
@annaznamenskaya · 30,843
Telegram ranks this channel #23 of 98 here — alongside 97 others — read 6 September 2026

This channel appears in 2 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“Иван Доронин | Карьера за рубежом” (@ivandoronin), 12,779 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/ivandoronin.

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.