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Channel

Тимлид Очевидность | Евгений Антонов

@general_it_talks

On this record: Growth · Engagement · Reactions · Stars · Advertising · Posts · Citations · Cite this entry

14,935subscribers

-31 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-1001105933307
TypeChannel
Username@general_it_talks
Created24 December 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/general_it_talks

Growth

14,93514,96614,950.56 August 2026 — 14,966 subscribers7 August 2026 — 14,964 subscribers8 August 2026 — 14,959 subscribers9 August 2026 — 14,955 subscribers10 August 2026 — 14,947 subscribers11 August 2026 — 14,946 subscribers12 August 2026 — 14,938 subscribers13 August 2026 — 14,935 subscribers6 August 202613 August 2026
8 measurements spanning 7 days, net -31. 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 14,930–14,971 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 10:1414,935-3
12 Aug 2026, 12:0514,938-8
11 Aug 2026, 10:4714,946-1
10 Aug 2026, 10:1514,947-8
9 Aug 2026, 08:1114,955-4
8 Aug 2026, 04:5114,959-5
7 Aug 2026, 02:1414,964-2
6 Aug 2026, 03:5114,966first reading

Engagement

20 posts held, back to 7 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
20.7%
avg views ÷ 14,935 subscribers
Avg views / post
3,090
16 posts measured
Reaction rate
1.35%
reactions ÷ views · ER floor
Posts in window
16
of 20 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 11 August 2026
Posts held20 (7 July 202611 August 2026)
Views total49,470
Reactions total666
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 01:40 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.

Reaction mix

840 reactions across 20 posts, in 15 distinct kinds. The most used accounts for 33.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
28133.5%
👍20824.8%
🔥18221.7%
🎉769.05%
💯283.33%
212.50%
182.14%
👎131.55%
👏40.476%
😁30.357%
😴20.238%
👾10.119%
😭10.119%
🤔10.119%
🤯10.119%

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 20 of the 20 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 840reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 7 July 2026 to 11 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
11
across the posts below
Posts paid on
2
of 20 we hold a reading for · 10%
Most on one post
10
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @general_it_talks. 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 20 most recent posts we hold for this entry, published 7 July 2026 to 11 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.

Advertising

Ad load
15.0%
3 of 20 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
2,930
over 3 measured posts
Median views · rest
3,540
over 17 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqwnmxHQ123 July 202623 July 2026
2W5zFG4qskm120 July 202620 July 2026
2W5zFGeyHZK110 August 202610 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 20 most recent posts we hold, published 7 July 2026 to 11 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

11 Aug 2026, 07:52 UTC≈1,530 views69 reactionsread 13 August 2026

Я принес. Четыре тысячи недель на всё: Меньше планов — больше жизни Недавно прочитал (на самом деле прослушал, в Яндекс Книгах есть отличная аудиоверсия) книгу https://books.yandex.ru/books/nC441pwV и спешу принести её вам. Судя по названию, я ожидал, что она будет про что-то типа «в жизни всего четыре тысячи недель, успевай давай, братишка, всё, что можешь». Ну то есть такая FOMO-разгоняющая и стимулирующая активн

🔥3913👍125

10 Aug 2026, 07:33 UTC≈1,980 views10 reactionsread 13 August 2026
Advertisementerid 2W5zFGeyHZKPhoto

Пока одни хоронят свою профессию из-за AI, а другие называют это не более чем хайпом, на TeamLead Сибирь собрали тех, кто уже внедрил ИИ и считает результат в деньгах и часах. Сложность ведь не в том, чтобы подключить очередного агента. Компании требуют внедрять AI, бестпрактисы меняются каждую неделю, а от тимлида ждут, что он с этим разберется сам. Самый большой трек конференции — как раз об этом: 15 докладов про

4👍3🔥3

8 Aug 2026, 14:34 UTC≈2,550 views57 reactionsread 13 August 2026

Какой тебе еще роадмап тимлида? У нас свой дома есть! Многие тимлиды и прочие айтишные управленцы слышали и видели роадмап тимлида который еще давно (в 2019м году) создали и несколько лет дорабатывали Егор Толстой и Стас Цыганов из любимого мной подкаста Podlodka. Так вот несколько месяцев назад мы (десятки менеджеров разного уровня из разных отраслей и компаний) в Менеджмент Хабе собрались с нашими товарищами из С

🔥2617👍14

7 Aug 2026, 07:27 UTC≈2,560 views50 reactions10 Starsread 13 August 2026

Входная точка в проект Недавно с коллегами на работе делали стандартизацию ведения проектов разного размера: от одной команды на 3–6 месяцев до нескольких команд на пару-тройку лет. Так вот, у нас внезапно случилась любопытная синергия, и получилось, что «хотели как лучше, а получилось еще лучше». Что сделали? Утвердили набор всяких стандартных вещей, которые по проекту надо вести. Команда, смежники, заказчики, д

👍2413🔥11👏2

6 Aug 2026, 09:16 UTC≈2,380 views14 reactionsread 13 August 2026
Photo

Сколько «продукта» должно быть в менеджере? На ИТ-рынке много говорят о продуктовом подходе, метриках, CJM, A/B-тестах и юнит-экономике. Но в реальной работе продактам приходится разбираться в архитектуре, системном анализе и согласовывать ресурсы с другими командами. У каждого специалиста формируется свой профессиональный профиль. Кто-то хорошо работает с метриками и понимает пользователей, но теряется в техническ

👍4🔥43😴21

4 Aug 2026, 07:35 UTC≈3,110 views32 reactionsread 13 August 2026

Я принес. Обучение и удержание Сегодня сразу два поста от титана оргпсихологии — Дмитрия Болдырева. Один про то, как строить обучение взрослых людей на работе так, чтобы оно действительно работало: https://t.me/dmiboldyrev/129 Второй про удержание ценного сотрудника: https://t.me/dmiboldyrev/130 Я хочу отметить, что данные посты представляют собой компактные, но по сути довольно емкие чеклисты и инструкции к дейс

👍13🔥109

3 Aug 2026, 09:26 UTC≈3,030 views16 reactionsread 13 August 2026
Photo

AI‑агенты меняют игру. Но кто расскажет, как это выглядит в проде? 😏 Возможно, именно ты! Если у тебя есть реальный кейс — лови приглашение на сцену Технохаб Конф 19 сентября. Никаких общих слов: готовь пайплайны, метрики, интеграции, честные ошибки и неочевидные решения! ✌️ Два трека: ✔️ Инженерия и AI‑Disrupt PDLC — про код, архитектуру и инфраструктуру. ✔️ Человек в мире агентов — про роли, команды и психологи

👍5👎52🔥21👾1

31 Jul 2026, 08:32 UTC≈3,610 views72 reactionsread 13 August 2026

Социально неудобное вслух Я иногда в шутку (в которой только доля шутки) говорю, что меня зовут порой на важные встречи для того, чтобы я там сказал вслух некие вещи, которые все хотят сказать, но то ли стесняются, то ли боятся, то ли это политически будет некорректно. Какая от этого польза? Иногда это помогает всем участникам стронуться с мертвой точки. Танцевали вокруг да около социальные танцы, а тут все признал

38👍20🔥13🤯1

28 Jul 2026, 07:19 UTC≈3,580 views22 reactionsread 13 August 2026

Я принес. Настроение Иногда слушаешь публичные заявления и доклады высоких управленцев из разных компаний, и там всё четенько: «продуктовый подход, аналитика, цифры, KPI, метрики, прогнозные значения». Всё по науке, как надо работать и принимать решения. И в целом-то да, НО... Не устаю повторять, что во всём этом всегда будет очень много человеческого фактора. Иррационального, эмоционального и, может быть, даже са

10👍7🔥5

25 Jul 2026, 08:24 UTC≈4,750 views29 reactionsread 13 August 2026
Photo

Август в менеджмент хабе будет особенным! Мало того, что у нас будут одни из моих любимых экспертов и тем, включая заседание книжного клуба по книге, которую я неоднократно советовал, — «Радикальная прямота», так ещё и первый официальный оффлайн митап сообщества. У нас было несколько оффлайн сходок в Питере, Екатеринбурге, Новосибирске и Москве, но в этот раз всё будет максимально официально.💪 3 зала с воркшопами

14🔥10👍5

24 Jul 2026, 07:56 UTC≈3,540 views116 reactionsread 13 August 2026

Люди ходят в отпуск. Вот это новость! Так как сейчас я хорошенечко отдыхаю (надеюсь, что так, ведь это отложка, которую я написал заранее) в отпуске, то хочется сегодня и поговорить про то, что есть у людей такая опция. А еще, что большинство ей регулярно пользуется. Ну ё-моё, всё же очевидно, скажете вы, но я вам возражу, что это так в теории, но не так на практике. Сюрприз! Всем руководителям и менеджерам приход

🎉761816👍6

23 Jul 2026, 13:33 UTC≈2,930 views25 reactionsread 13 August 2026
Advertisementerid 2VtzqwnmxHQPhoto

Вчера открылась регистрация на Avito.Tech.Conf. Если ещё не слышали, это конференция от Авито для тим/техлидов и C-level. Она проходит уже второй год, и в этот раз состоится 26 сентября в Москве. Видно, что в этом году команда особенное внимание уделила зонам для нетворка (а это главное на на таких мероприятиях). Например, будет реальный гараж от вертикали Авто и коллекционные вещи от Товаров. Конечно, будет класси

10👍65🔥3👎1

Showing the 12 most recent of 20 posts we hold for @general_it_talks. 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 — 35,062 of 1,169,250entries 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 18 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Тимлид Очевидность | Евгений Антонов” (@general_it_talks), 14,935 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/general_it_talks.

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.