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Channel

Код Желтый

@kod_zheltyi

Verified by Telegram

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

33,557subscribers

+943 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001476882161
TypeChannel
Username@kod_zheltyi
DescriptionРассказываем про технологии и инженерные практики. Делимся подкастами, анонсами ИТ-мероприятий и исследованиями. ВК: vk.com/kod_zheltyi Команда и вакансии в Т: t.me/t_crew ИТ-профессии в Т: l.tbank.ru/it_folders Перечень РКН: l.tbank.ru/knd_tg
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/kod_zheltyi

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Growth

32,61133,55733,0845 August 2026 — 32,614 subscribers6 August 2026 — 32,614 subscribers7 August 2026 — 32,623 subscribers8 August 2026 — 32,611 subscribers9 August 2026 — 32,706 subscribers10 August 2026 — 32,702 subscribers11 August 2026 — 32,722 subscribers12 August 2026 — 32,728 subscribers13 August 2026 — 32,735 subscribers14 August 2026 — 32,744 subscribers16 August 2026 — 32,729 subscribers17 August 2026 — 32,726 subscribers18 August 2026 — 32,740 subscribers19 August 2026 — 32,739 subscribers20 August 2026 — 32,756 subscribers21 August 2026 — 32,738 subscribers23 August 2026 — 32,739 subscribers24 August 2026 — 32,737 subscribers25 August 2026 — 32,757 subscribers27 August 2026 — 32,771 subscribers29 August 2026 — 32,776 subscribers30 August 2026 — 32,788 subscribers1 September 2026 — 32,785 subscribers2 September 2026 — 32,819 subscribers3 September 2026 — 32,854 subscribers5 September 2026 — 32,869 subscribers8 September 2026 — 32,901 subscribers11 September 2026 — 32,939 subscribers13 September 2026 — 32,958 subscribers14 September 2026 — 33,005 subscribers17 September 2026 — 33,034 subscribers19 September 2026 — 33,061 subscribers26 September 2026 — 33,101 subscribers4 October 2026 — 33,251 subscribers8 October 2026 — 33,312 subscribers13 October 2026 — 33,348 subscribers14 October 2026 — 33,366 subscribers15 October 2026 — 33,423 subscribers16 October 2026 — 33,474 subscribers17 October 2026 — 33,476 subscribers18 October 2026 — 33,473 subscribers19 October 2026 — 33,491 subscribers20 October 2026 — 33,520 subscribers21 October 2026 — 33,549 subscribers22 October 2026 — 33,555 subscribers24 October 2026 — 33,551 subscribers25 October 2026 — 33,542 subscribers26 October 2026 — 33,539 subscribers27 October 2026 — 33,545 subscribers28 October 2026 — 33,546 subscribers29 October 2026 — 33,543 subscribers30 October 2026 — 33,535 subscribers31 October 2026 — 33,530 subscribers1 November 2026 — 33,538 subscribers2 November 2026 — 33,535 subscribers3 November 2026 — 33,526 subscribers4 November 2026 — 33,537 subscribers5 November 2026 — 33,529 subscribers6 November 2026 — 33,548 subscribers7 November 2026 — 33,557 subscribers5 August 20267 November 2026
60 measurements spanning 93 days, net +943. 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 32,469–33,699 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
7 Nov 2026, 06:4133,557+9
6 Nov 2026, 07:1033,548+19
5 Nov 2026, 07:3133,529-8
4 Nov 2026, 04:2933,537+11
3 Nov 2026, 07:3933,526-9
2 Nov 2026, 10:4633,535-3
1 Nov 2026, 14:1033,538+8
31 Oct 2026, 17:2633,530-5
30 Oct 2026, 18:3733,535-8
29 Oct 2026, 20:0833,543-3
28 Oct 2026, 18:0933,546+1
27 Oct 2026, 17:0633,545+6
26 Oct 2026, 15:3633,539-3
25 Oct 2026, 18:5533,542-9
24 Oct 2026, 21:5733,551-4
22 Oct 2026, 18:0133,555+6
21 Oct 2026, 14:0133,549+29
20 Oct 2026, 12:3033,520+29
19 Oct 2026, 14:3733,491+18
18 Oct 2026, 16:1733,473first reading

Engagement

54 posts held, back to 23 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 165 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.3%
avg views ÷ 33,557 subscribers
Avg views / post
3,780
18 posts measured
Reaction rate
1.30%
reactions ÷ views · ER floor
Posts in window
18
of 54 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 6 November 2026
Posts held54 (23 July 2026 – 6 November 2026)
Views total67,960
Reactions total885
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 18:56 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

Photos
≈1,740
Videos
≈50
Links
≈638

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
23s
Average length
23s

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

2,023 reactions across 53 posts, in 11 distinct kinds. The most used accounts for 33.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤67533.4%
👍34317.0%
🔥33716.7%
custom 525817732488865664132516.1%
❤‍🔥27313.5%
🎉221.09%
👎170.84%
😢130.643%
😁80.395%
😱50.247%
🤩50.247%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 53 of the 54 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 2,023 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 23 July 2026 to 6 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 18 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).

6 Nov 2026, 14:54 UTC≈2,000 views13 reactionsread 7 November 2026
Photo

*️⃣ Как мы ушли с Karma на Vitest и наладили Allure для unit-тестов Долгое время unit-тесты фронтенда у нас крутились на Karma + Jasmine. Но в какой-то момент Karma официально признали deprecated, а отгрузка отчетов в Allure иногда стала работать некорректно. В карточках рассказываем, как выбирали между Jest и Vitest, почему в итоге остановились на Vitest и как устроен итоговый сетап. А больше подробностей читайте …

❤6🔥4custom 52581773248886566413

4 Nov 2026, 12:05 UTC≈2,940 views15 reactionsread 7 November 2026
Photo

↗️ Как отслеживать бизнес-операции, искать аномалии в метриках и автоматизировать SRE-дежурства? Эти и другие вопросы разобрали на SRE-техтолке. Смотрите записи выступлений: ✨ «Wombat — мониторинг операций» — Елена Гаврикова, старший инженер, Центр надежности информационных систем Рассмотрели, как наш внутренний инструмент Wombat оценивает последствия сбоя для бизнеса и собирает данные о жизненном цикле операций. 📹…

❤7🔥4custom 52581773248886566414

2 Nov 2026, 15:32 UTC≈3,660 views14 reactionsread 7 November 2026

Posted without readable text

🎉5👍4custom 52581773248886566414❤1

2 Nov 2026, 15:30 UTC≈3,490 views17 reactionsread 7 November 2026

Posted without readable text

🔥8custom 52581773248886566415❤4

30 Oct 2026, 08:30 UTC≈4,140 views32 reactionsread 7 November 2026
Photo

📚 Как увидеть всю жизнь заявки от создания до получения продукта Заявка на дополнительную карту проходит путь за секунды, а заявка на кредит может обрабатываться несколько дней. В обоих случаях внутри происходит много запросов и каждый оставляет след. Но, если где-то возникнет ошибка, найти концы в десятках сервисов почти невозможно. Audit — наш сервис платформы Origination, который хранит каждую ключевую точку обр…

🔥20custom 52581773248886566417👍5

29 Oct 2026, 09:27 UTC≈3,930 views26 reactionsread 6 November 2026
Photo

🔥 Выложили доклады с Platform Engineering Night для всех, кто строит платформы в разных областях На конференции обсудили внутренние платформы, которые помогают продуктовым командам быстрее разрабатывать, запускать и сопровождать сервисы. А еще разобрали, как не потерять контроль, когда растет количество пользователей, сервисов и связей между ними. Выбирайте удобную площадку и сохраняйте плейлисты: 📹 Ютуб 💬 ВКонтак

🔥11custom 52581773248886566418❤7

26 Oct 2026, 10:42 UTC≈4,930 views40 reactionsread 6 November 2026
Photo

📁 Как построить торгового робота без интеграции с брокером Раньше для автоматизации торгового алгоритма нужен был Python, API брокера, cron и обработка ошибок на все случаи жизни. Теперь благодаря слою MCP между LLM и брокерским API вы можете описать задачу словами, а модель сама получит состояние портфеля, посмотрит стакан и выставит заявку. Подробнее о том, как работает публичный MCP-сервер в Т-Инвестициях, чем а…

🔥26👍7❤‍🔥5❤1😱1

23 Oct 2026, 09:48 UTC≈4,530 views32 reactionsread 4 November 2026
Photo

Почему безопасность важно учитывать еще на этапе проектирования? Как встроить проверки и исправление уязвимостей в работу агентов? Что помогает и мешает атакующим на практике? Эти и другие вопросы мы разобрали на конференции по практическому сдвигу в защите Security Shift. Если хотите глубже погрузиться в тему кибербезопасности — от архитектурных решений и ошибок дизайна до реальных атак и новых векторов угроз, — с…

👍13🔥9custom 52581773248886566416❤4

22 Oct 2026, 09:23 UTC≈4,200 views32 reactionsread 2 November 2026
Photo

🔒 Как ИИ меняет правила кибербезопасности и почему хакеры все больше используют нейросети? Разбираемся в новом выпуске подкаста «ТехноБалкон» с Дмитрием Гадарем — вице-президентом и директором департамента информационной безопасности Т-Банка. ИИ меняет правила безопасности и на уровне пользователей, и на уровне целых компаний. Мы советуемся с нейросетями, загружаем в них документы и делимся личным. Но кто может вос…

🔥14❤8👍8custom 52581773248886566412

21 Oct 2026, 10:04 UTC≈3,680 views29 reactionsread 30 October 2026
Video message

Video message, posted without a caption

❤12❤‍🔥9🔥6👎1custom 52581773248886566411

21 Oct 2026, 10:04 UTC≈3,830 views29 reactionsread 2 November 2026
Photo

🔥 Что происходит с Zeebe при долгой эксплуатации В прошлый раз мы разобрали архитектуру Zeebe, отказоустойчивость и асинхронную обработку. Но за высокой производительностью в начале эксплуатации может скрываться постепенное замедление. Мы столкнулись с этим на практике: диск заполнялся event-логами, Elasticsearch переставал справляться, а история в Operate отставала на часы. В карточках разбираем, почему это происх…

❤13custom 525817732488865664110👍6

19 Oct 2026, 12:11 UTC≈4,540 views22 reactionsread 30 October 2026
Photo

*️⃣ Библиотека конфигурации, которая не теряет источники значений В прошлых постах мы разобрали, как индустрия пришла к современным подходам конфигурации, и проверили четыре популярные библиотеки по семи требованиям. Ни одна из них не закрыла все пункты, поэтому мы решили создать свою. Она загружает данные из произвольных источников в обычный dataclass из стандартной библиотеки, не захватывает точку входа и не навя…

👍11❤7🔥4

Showing the 12 most recent of 54 posts we hold for @kod_zheltyi. 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

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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#83
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 47,077
#84
ФКН НИУ ВШЭ
@fcs_hse · 14,719
#85
I’m CEO, beach
@imceobeach · 64,996
#86
Альфа-Будущее
@alfafuture · 52,353
#87
Системный анализ | Ольга Пономарева
@system_analyse · 31,215
#88
Ozøn Design
@ozondesign · 17,875
#89
Ваня Замесин
@zamesin · 50,084
#90
Sharovatov
@vsharovatov · 5,770
#91
Андрей Смирнов | Викенд в IT
@itsmirnov · 6,859
#92
#безвотэтоговотвсего
@bvevvs · 7,683
#93
Yandex Cloud
@yandexcloudnews · 23,967
#94
42 секунды
@ftsec · 19,398
#95
Фичизм
@fichism · 25,270
#96

Read from Telegram’s recommendation API, most recently 4 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

T-Crew
@t_crew · 43,576
Telegram ranks this channel #1 of 95 here — alongside 94 others — read 29 August 2026
ИТ-Пикник
@IT_picnic · 22,808
Telegram ranks this channel #4 of 94 here — alongside 93 others — read 18 September 2026
Ozon Tech
@ozon_tech · 30,151
Telegram ranks this channel #7 of 98 here — alongside 97 others — read 8 September 2026
AvitoTech
@avitotech · 25,778
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 14 September 2026
Yandex for Developers
@Yandex4Developers · 28,660
Telegram ranks this channel #11 of 94 here — alongside 93 others — read 9 September 2026
Яндекс нанимает | Вакансии для разработчиков
@ya_jobs · 33,136
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 5 September 2026
Alfa Digital
@alfadigital_jobs · 53,823
Telegram ranks this channel #18 of 99 here — alongside 98 others — read 24 August 2026
VK Team
@vkjobs · 25,867
Telegram ranks this channel #21 of 97 here — alongside 96 others — read 13 September 2026
Ozon Team
@ozonteam · 23,460
Telegram ranks this channel #27 of 89 here — alongside 88 others — read 19 September 2026
Злой коллега
@zloy_kollega · 44,738
Telegram ranks this channel #28 of 98 here — alongside 97 others — read 28 August 2026
МТС Банк | Карьера
@mtsbankcareer · 30,406
Telegram ranks this channel #29 of 99 here — alongside 98 others — read 7 September 2026
8БИТ. Журнал Яндекс Образования
@journal_yandex_education · 18,794
Telegram ranks this channel #32 of 97 here — alongside 96 others — read 4 October 2026
Avito Career
@avito_career · 67,451
Telegram ranks this channel #32 of 98 here — alongside 97 others — read 21 August 2026
Яндекс Образование
@Education_Yandex · 38,048
Telegram ranks this channel #35 of 96 here — alongside 95 others — read 31 August 2026
Т-Образование
@tbank_education · 113,580
Telegram ranks this channel #38 of 91 here — alongside 90 others — read 14 August 2026
Работа в Т-Банке
@tbank_team · 66,979
Telegram ranks this channel #51 of 96 here — alongside 95 others — read 20 August 2026
Карьера в Сбере!
@careersber · 134,284
Telegram ranks this channel #56 of 96 here — alongside 95 others — read 13 August 2026
Young&&Yandex
@Young_and_Yandex · 113,001
Telegram ranks this channel #74 of 92 here — alongside 91 others — read 14 August 2026
Системный Аналитик
@sys_sa · 19,101
Telegram ranks this channel #86 of 96 here — alongside 95 others — read 3 October 2026
getmatch: канал про карьеру в IT
@g_jobchannel · 18,983
Telegram ranks this channel #87 of 95 here — alongside 94 others — read 5 October 2026

This channel appears in 20 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“Код Желтый” (@kod_zheltyi), 33,557 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/kod_zheltyi.

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.