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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

33,061subscribers

+447 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 live19 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 19 September 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 why it has no browse page of its own yet.

Growth

32,61133,06132,8365 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 subscribers5 August 202619 September 2026
32 measurements spanning 44 days, net +447. 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 32,544–33,129 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
19 Sept 2026, 09:5533,061+27
17 Sept 2026, 01:2033,034+29
14 Sept 2026, 23:3633,005+47
13 Sept 2026, 12:3732,958+19
11 Sept 2026, 13:5832,939+38
8 Sept 2026, 22:4032,901+32
5 Sept 2026, 16:1632,869+15
3 Sept 2026, 15:1432,854+35
2 Sept 2026, 08:1532,819+34
1 Sept 2026, 05:2632,785-3
30 Aug 2026, 02:5532,788+12
29 Aug 2026, 02:2532,776+5
27 Aug 2026, 22:5632,771+14
25 Aug 2026, 20:0232,757+20
24 Aug 2026, 23:1432,737-2
23 Aug 2026, 07:3332,739+1
21 Aug 2026, 21:0832,738-18
20 Aug 2026, 14:4232,756+17
19 Aug 2026, 17:4432,739-1
18 Aug 2026, 16:1332,740first reading

Engagement

25 posts held, back to 23 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 75 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.7%
avg views ÷ 33,061 subscribers
Avg views / post
3,880
12 posts measured
Reaction rate
0.98%
reactions ÷ views · ER floor
Posts in window
12
of 25 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 22 September 2026
Posts held25 (23 July 202622 September 2026)
Views total46,540
Reactions total456
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 18:11 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
1,630
Videos
49
Links
618

Lifetime counters from Telegram’s own channel header, read 22 September 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

875 reactions across 25 posts, in 9 distinct kinds. The most used accounts for 23.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
20623.5%
👍18220.8%
custom 525817732488865664117419.9%
🔥15617.8%
❤‍🔥12213.9%
😢131.49%
🎉121.37%
👎70.8%
😁30.343%

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 25 of the 25 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 875 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 23 July 2026 to 22 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.

Recent posts

22 Sept 2026, 15:31 UTC≈1,240 views17 reactionsread 22 September 2026
Photo

*️⃣ Как выпустить фичу без бэкенда и не сорвать дедлайн? Представьте: вы получили задачу разработать новый финансовый инструмент. Дедлайн через три месяца, команды фронта и мобилки готовы начинать, но бэкенд будет готов только через полтора месяца. Мы были в такой же ситуации и успели выпустить фичу в срок благодаря инструментам перехвата и мокирования трафика. В карточках рассказываем, что помогает в таких случая

6👍5❤‍🔥3custom 52581773248886566413

18 Sept 2026, 09:53 UTC≈3,460 views26 reactionsread 22 September 2026
Photo

🔥 Как мы научили VLM проходить тест-кейсы вместо человека В нашем мобильном приложении десятки тысяч тест-кейсов. Регресс проводится дважды в месяц, и каждый цикл съедает значительную часть ресурсов QA-команд. Мы построили AI-QA-агента, который проходит тест-кейсы так же, как это делает человек: запускает приложение на симуляторе, шаг за шагом выполняет сценарий, анализирует экраны с помощью VLM и автоматически сра

13👍8🔥4custom 52581773248886566411

16 Sept 2026, 08:46 UTC≈3,600 views22 reactionsread 22 September 2026
Photo

✨ Обучаем рекомендательную модель с помощью Perseus Летом мы выложили в открытый доступ фреймворк Perseus, который объединяет данные из разных источников в одну последовательность и обучает трансформерные модели. Если фреймворк показался вам сложным — смотрите подробный туториал, где по шагам рассказываем, как его использовать в ваших задачах. Вы научитесь: ↗️ Подготавливать данные для дальнейших экспериментов. ↗

👍9❤‍🔥6custom 525817732488865664152

13 Sept 2026, 07:38 UTC≈4,370 views42 reactionsread 22 September 2026
Photo

🧡 На работе техдиры, а в душе — юные инженеры, футболисты и капитаны дальнего плавания Мы рассказали о том, как последние 20 лет развивались технологии Т-Банка — от самого «детства» до сегодняшнего дня. А в День разработчика решили узнать, как рождались амбиции и мечты людей, которые стоят за этими технологиями. В карточках поделились детскими мечтами наших технических директоров. Если хотите поближе познакомиться

❤‍🔥23🔥10🎉63

11 Sept 2026, 14:38 UTC≈4,280 views47 reactionsread 22 September 2026

Posted without readable text

20👍13custom 525817732488865664110👎4

9 Sept 2026, 12:44 UTC≈4,300 views23 reactionsread 22 September 2026
Photo

*️⃣ Почему React перестал лагать на больших списках? Все дело в новой архитектуре Бывало такое, что печатаете в input, а интерфейс начинает лагать на большом списке? Это классическая проблема старого React из-за синхронного рекурсивного обхода дерева: он не мог прерваться, чтобы отдать управление браузеру. Чтобы исправить это, в React переписали архитектуру. Отказались от рекурсивного стека, изобрели новую структур

10custom 52581773248886566417👍5🔥1

7 Sept 2026, 11:37 UTC≈2,490 views35 reactionsread 9 September 2026
Photo

🔥 R&D-центр, ИИ-агенты, генеративные интерфейсы — так выглядит технологическое будущее Т-Банка Мы уже рассказывали, какой путь прошли с 2006 года и как развивались мобильное приложение, экосистема Core Tech и платформа данных. А сегодня поделимся, как мы строим банк будущего, опережаем запросы рынка и меняем разработку и пользовательское поведение с помощью ИИ-агентов. ⚡️ — если тоже считаете, что лучший способ п

custom 525817732488865664120🔥7❤‍🔥6👍2

4 Sept 2026, 10:43 UTC≈3,970 views33 reactionsread 9 September 2026
Photo

⚡️ Как мы сократили потребление памяти на 18% и CPU на 31% в Kubernetes Переезд автоматизированной банковской системы в K8s не прошел гладко. Приложения долго стартовали, поды умирали с OOMKill, heap рос неделями, а утилизация ресурсов была низкой. Мы перепробовали все: настраивали JVM, меняли GC, пересматривали количество реплик и даже заменили аллокатор памяти. В итоге сократили потребление памяти на 18%, CPU — н

18🔥9custom 52581773248886566415😁1

2 Sept 2026, 15:33 UTC≈4,260 views42 reactionsread 9 September 2026

Posted without readable text

custom 525817732488865664115👍12🔥114

31 Aug 2026, 11:42 UTC≈4,520 views61 reactionsread 9 September 2026

Posted without readable text

❤‍🔥32😢13custom 525817732488865664110🎉6

28 Aug 2026, 10:00 UTC≈5,370 views32 reactionsread 9 September 2026
Photo

☑️ Как заставить камеру на Android делать четкие фото для биометрии Представьте: клиент хочет перевести крупную сумму и мобильный банк запрашивает подтверждение по селфи. Человек наводит камеру, делает фото, а на бэкенд уходит размытый кадр потолка с кусочком лица. Клиент получает отказ, звонит в поддержку, злится и теряет доверие к банку. Чтобы не допускать таких случаев, мы сделали Face-Shot — библиотеку для Andr

🔥17👍8custom 52581773248886566416👎1

26 Aug 2026, 16:59 UTC≈4,680 views76 reactionsread 4 September 2026
Photo

*️⃣ Монолит → экосистема с 90 тысячами встреч в день До таких масштабов выросла наша Платформа доставок, которая ежедневно распределяет около 90 тысяч встреч, учитывает более 20 параметров и работает 24/7 без права на сбой. Когда команда выросла с 20 до 100 инженеров, а количество сервисов перевалило за десятки, старые подходы перестали работать. Мы перешли от монолита к микросервисам, от ручного планирования к алг

🔥41❤‍🔥20custom 525817732488865664111👍4

Showing the 12 most recent of 25 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 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.

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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#94
42 секунды
@ftsec · 19,395
#95
Фичизм
@fichism · 25,378
#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 · 43,300
Telegram ranks this channel #1 of 95 here — alongside 94 others — read 29 August 2026
ИТ-Пикник
@IT_picnic · 23,242
Telegram ranks this channel #4 of 94 here — alongside 93 others — read 18 September 2026
Ozon Tech
@ozon_tech · 29,730
Telegram ranks this channel #7 of 98 here — alongside 97 others — read 8 September 2026
AvitoTech
@avitotech · 25,625
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 14 September 2026
Yandex for Developers
@Yandex4Developers · 28,505
Telegram ranks this channel #11 of 94 here — alongside 93 others — read 9 September 2026
Яндекс нанимает | Вакансии для разработчиков
@ya_jobs · 32,756
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 5 September 2026
Alfa Digital
@alfadigital_jobs · 54,393
Telegram ranks this channel #18 of 99 here — alongside 98 others — read 24 August 2026
VK Team
@vkjobs · 25,707
Telegram ranks this channel #21 of 97 here — alongside 96 others — read 13 September 2026
Ozon Team
@ozonteam · 22,823
Telegram ranks this channel #27 of 89 here — alongside 88 others — read 19 September 2026
Злой коллега
@zloy_kollega · 45,064
Telegram ranks this channel #28 of 98 here — alongside 97 others — read 28 August 2026
МТС Банк | Карьера
@mtsbankcareer · 30,304
Telegram ranks this channel #29 of 99 here — alongside 98 others — read 7 September 2026
Avito Career
@avito_career · 66,216
Telegram ranks this channel #32 of 98 here — alongside 97 others — read 21 August 2026
Яндекс Образование
@Education_Yandex · 37,959
Telegram ranks this channel #35 of 96 here — alongside 95 others — read 31 August 2026
Т-Образование
@tbank_education · 113,248
Telegram ranks this channel #38 of 91 here — alongside 90 others — read 14 August 2026
Т-Банк: работа с клиентами
@tbank_team · 68,169
Telegram ranks this channel #51 of 96 here — alongside 95 others — read 20 August 2026
Карьера в Сбере!
@careersber · 136,237
Telegram ranks this channel #56 of 96 here — alongside 95 others — read 13 August 2026
Young&&Yandex
@Young_and_Yandex · 111,329
Telegram ranks this channel #74 of 92 here — alongside 91 others — read 14 August 2026

This channel appears in 17 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Код Желтый” (@kod_zheltyi), 33,061 subscribers as measured 19 September 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.