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Channel

Chad Protocol - карьера, IT, успех

@chad_protocol

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

11,030subscribers

+125 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-1001983260268
TypeChannel
Username@chad_protocol
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/chad_protocol

Growth

10,90511,03010,967.56 August 2026 — 10,905 subscribers6 August 2026 — 10,909 subscribers7 August 2026 — 10,911 subscribers8 August 2026 — 10,914 subscribers10 August 2026 — 10,916 subscribers11 August 2026 — 10,996 subscribers12 August 2026 — 11,019 subscribers13 August 2026 — 11,028 subscribers14 August 2026 — 11,030 subscribers6 August 202614 August 2026
9 measurements spanning 9 days, net +125. 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 10,886–11,049 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:2711,030+2
13 Aug 2026, 06:2611,028+9
12 Aug 2026, 08:1211,019+23
11 Aug 2026, 10:5310,996+80
10 Aug 2026, 14:1610,916+2
8 Aug 2026, 16:0110,914+3
7 Aug 2026, 14:1610,911+2
6 Aug 2026, 17:3010,909+4
6 Aug 2026, 03:3410,905first reading

Engagement

27 posts held, back to 16 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
48.7%
avg views ÷ 11,030 subscribers
Avg views / post
5,370
27 posts measured
Reaction rate
0.475%
reactions ÷ views · ER floor
Posts in window
27
of 27 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 12 August 2026
Posts held27 (16 July 202612 August 2026)
Views total144,930
Reactions total689
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 04:28 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 49s
Average length
1m 49s

Measured directly from 1 video 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

633 reactions across 26 posts, in 22 distinct kinds. The most used accounts for 39.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥25239.8%
17026.9%
🤗375.85%
🤓345.37%
🐳294.58%
👍213.32%
💅152.37%
😎132.05%
🍓111.74%
🤯111.74%
101.58%
🕊71.11%
🙊50.79%
🍾40.632%
😱40.632%
20.316%
👾20.316%
💋20.316%
❤‍🔥10.158%
💘10.158%
2 further kinds20.316%

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 27 of the 27 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 689reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 16 July 2026 to 12 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

12 Aug 2026, 15:05 UTC≈1,860 views12 reactionsread 13 August 2026

Почему нельзя игнорить рекрутеров Одна ошибка может перечеркнуть 6 собеседований и сразу два оффера. На наших курсах есть менторская программа, где мы сопровождаем ребят до оффера. И вот поучительная история: Разработчик прошёл больше 6 этапов в одну компанию и получил долгожданный оффер. Но пока длился отбор, его цели изменились, и он понял, что не готов принять это предложение (с нами он получил ещё более жирный

🔥102

10 Aug 2026, 17:43 UTC≈2,980 views65 reactionsread 13 August 2026
Video message

Video message, posted without a caption

🤗37💅12🍓10💋21🔥1🤩1🤯1

10 Aug 2026, 17:43 UTC≈2,710 views6 reactionsread 13 August 2026

У России три пути: 18+, ***** и IT И кажется, у нас случился переход между карьерными треками… Нам неважно, какой у человека бэкграунд и чем он занимался раньше. Важно, куда он хочет прийти и что готов для этого делать. Наша студентка, Алина, решила кардинально сменить сферу, пришла на «СТАРТ» и теперь готовится к своей новой цели — получить оффер в Яндекс. Можно следить за успехами и учиться вместе с Алиной. На н

🤯6

10 Aug 2026, 15:50 UTC≈3,960 views12 reactionsread 13 August 2026

Кому сейчас проще найти работу в эпоху ИИ Кто-то ловит офферы пачками за месяц, а кто-то и сидит без приглашений и не понимает, что происходит. Виной всему - не столько кризис, сколько влияние ИИ и перенасыщение рынка некоторыми специалистами. В этом посте разложу ситуацию по каждой специальности, опираясь на реальные кейсы, и расскажу, за кем ИТ-компании сейчас охотятся по-настоящему, а кто рискует остаться за борт

👍64🔥2

10 Aug 2026, 13:45 UTC≈2,770 views19 reactionsread 13 August 2026
Photo

КИТАЙ vs ЗАПАД: Kimi K3 vs Claude 16 июля вышла новая китайская модель Kimi K3. Она абсолютно бесплатная, держит 1 000 000 токенов контекста и работает на уровне топовых закрытых моделей. Помните как я тестировал Claude для своих подписок? Тоже самое решил сделать через Kimi. В Telegram через настройки выгрузил архив своих подписок и загрузил файл в нейросеть. Модель выбрала каналы, которые чаще всего пересекались

🤓9🐳82

8 Aug 2026, 09:24 UTC≈4,800 views23 reactionsread 13 August 2026

Почему автоотклики - полный кринж В последнее время у зумеров стали популярны всякие ИИ-агенты и подобная нечесть, которая за тебя и LinkedIn, и GitHub заполнит, и вакансии найдёт, и под каждую напишет резюме с сопроводительным письмом, и с рекрутером пообщается, и собес пройдёт, и испытательный срок… и жену твою… Короче, полный кринж. Почему это всё не работает? 1. Профили, заполненные нейроскопом, LinkedIn отправ

11🤓8🔥3🤯1

6 Aug 2026, 16:04 UTC≈4,240 views10 reactionsread 13 August 2026

Сейчас растет спрос на аналитиков, так как из-за ИИ возникло очень много смежных задач, которые традиционно сваливаются на аналитиков (дата сайнтистов). При этом порог входа в аналитику относительно низкий. Специально для всех желающих вкатиться подготовил 5 пет проектов, которые гарантирует оффер крепкого джуна! Смотрим! Смотрим! https://www.instagram.com/reel/Dba4YXKs8qV/?igsh=MXN2emFyOG43b29xYQ==

🔥82

5 Aug 2026, 15:19 UTC≈6,030 views12 reactionsread 13 August 2026
File

Вопросы зарубежного HR Собрали гайдик с популярными вопросами HR на зарубежном собесе. Советую сохранить и репетировать в очереди/метро. Полный гайд 100+ вопросами доступен в нашем блоке по карьере зарубежом. Сейчас многих специалистов посещает хорошая мысль рассматривать карьерные возможности зарубежом. Специально для них мы добавили новый блок "карьера зарубежом" в наши новые курсы линейки ПРО. Собрали все самое

🔥12

4 Aug 2026, 17:04 UTC≈4,760 views7 reactionsread 13 August 2026

C какими айтишницами стоит строить отношения, а какие - ред флаг? В новом ролике разобрал все бигтехи по фактам: Яндекс, ВК, Т-банк, Озон, Сбер. Смотрим! Смотрим! И не говорите потом, что не предупреждал! https://www.youtube.com/shorts/d_lUVE5oo7A

4💅3

4 Aug 2026, 14:49 UTC≈5,550 views15 reactionsread 13 August 2026

Поиск работы череp Linkedin Отклики через headhunter сейчас работают фигово: мало вакансий-много кандидатов, много вкатунов-накрутчиков. Вакансии пишутся рекрутерами через гпт, поэтому могут быть странные или высокие требования. По итогу большинство вакансий отсеиваются еще на этапе скрининга, проходят единицы только при идеальном мэтче. Хотя и рекрутер, и компания готовы предложить и условие повыгоднее и требования

102🔥2👍1

3 Aug 2026, 15:10 UTC≈4,100 views13 reactionsread 13 August 2026
Photo

ИИ-агенты стали еще доступнее OpenAI резко обвалила цены на API: модель GPT-5.6 Luna подешевела сразу на 80%. Это важное событие, ведь именно она идеально подходит для массовой автоматизации повседневных задач. При этом многие думают, что автономные агенты нужны только разработчикам. Но на самом деле их возможности давно вышли за пределы кодинга: агенты могут в фоне вести веб-серфинг, парсить и структурировать инфо

🤓10👾2🔥1

2 Aug 2026, 10:03 UTC≈2,620 views2 reactionsread 13 August 2026
Forwarded from @postypashki_oldPhoto

Разбор контеста на стажировку в Яндекс за подписку! Чтобы получить разбор: ➡️Подпишитесь на нас в запрещенной странице тут ➡️Поставьте «+» в комментариях под последней каруселью тут ➡️После этого бот пришлёт вам материал в директ Внутри будет разбор контеста и заданий, которые помогут подготовиться к отбору в Яндекс

👍2

Showing the 12 most recent of 27 posts we hold for @chad_protocol. 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.

Citation-graph rank

Citation-graph rank — 606,787 of 1,340,412entries 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

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.

Named by

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

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.

Young&&Yandex
@Young_and_Yandex · 110,414
Telegram ranks this channel #5 of 92 here — alongside 91 others — read 14 August 2026
Т-Образование
@tbank_education · 111,441
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 14 August 2026
XOR
@xor_journal · 158,618
Telegram ranks this channel #90 of 93 here — alongside 92 others — read 12 August 2026

This channel appears in 3 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Chad Protocol - карьера, IT, успех” (@chad_protocol), 11,030 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/chad_protocol.

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.