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Channel

Клуб Игроделов

@igrodely36

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

152subscribers

+102 since we began measuring on 14 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004421486355
TypeChannel
Username@igrodely36
Created1 July 2026 — measured — dated from the channel’s first post
First recorded14 October 2026
Last confirmed live29 October 2026
Measurements held5
Confirmed unchanged1 time, most recently 29 October 2026
On Telegramt.me/igrodely36

Topic

Education — a classification, not a measurement. An on-box language model (qwen3.6:35b-a3b, prompt version 1) read this channel’s own recent posts on 29 October 2026 and assigned it the closest of 31 fixed categories, at 85% 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

5015210114 October 2026 — 50 subscribers14 October 2026 — 50 subscribers15 October 2026 — 73 subscribers23 October 2026 — 110 subscribers29 October 2026 — 152 subscribers14 October 202629 October 2026
5 measurements spanning 15 days, net +102. 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 35–167 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Oct 2026, 11:59152+42
23 Oct 2026, 01:20110+37
15 Oct 2026, 00:3673+23
14 Oct 2026, 15:2250no change
14 Oct 2026, 14:4750first reading

Engagement

12 posts held, back to 1 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
65.8%
avg views ÷ 152 subscribers
Avg views / post
100
6 posts measured
Reaction rate
4.00%
reactions ÷ views · ER floor
Posts in window
6
of 12 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 14 October 2026
Posts held12 (1 July 2026 – 14 October 2026)
Views total600
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Oct 2026, 15:22 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

36 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 80.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2980.6%
👀38.33%
👍38.33%
🙏12.78%

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 10 of the 12 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 36 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 1 July 2026 to 14 October 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

14 Oct 2026, 12:59 UTC76 views5 reactionsread 14 October 2026
Photo

📚 7 книг по архитектуре ПО, которые стоит прочитать разработчику. Здесь и фундаментальные принципы проектирования, и работа с легаси-кодом, и DDD, и функциональное программирование. Сохраняйте подборку: 1. Влад Хононов — «Learning Domain-Driven Design» 2. Роберт Мартин — «Чистая архитектура» 3. Роберт Мартин — «Чистый код» 4. Крэг Ларман — «Применение UML 2.0 и шаблонов проектирования» 5. Эрик Норманд — «Грока…

👍2🔥2🙏1

8 Oct 2026, 12:06 UTC119 views4 reactionsread 14 October 2026
File

Маршрут изучения архитектуры ПО Составил маршрут: какие темы изучать, в какой последовательности и что нужно понять на каждом этапе. 0. DDD Разобраться в языке предметной области и границах контекстов, чтобы не смешивать разные смыслы и бизнес-правила в одной модели. 1. Архитектура и изменения Понять, как границы, зависимости и ответственность помогают менять систему предсказуемо. 2. Сценарии использования Научитьс…

👀2🔥2

6 Oct 2026, 12:26 UTC117 views1 reactionsread 14 October 2026

Здесь собираю материалы с пользой, чтобы долго не искать по каналу: 🟡Исходники игры + рефакторинг по этапам Оригинальный проект, первый use case, доменная модель и очистка сценария от Unity. 👉 https://t.me/igrodely36/4 🟡 Sequence-диаграммы и материалы о слоях Диаграммы, Mermaid-описания и патч к видео. 👉 https://t.me/igrodely36/7 🟡 Промпт для проверки своего кода Поможет найти архитектурные ошибки и слабые места в…

👍1

Signed Евгений Шилов

6 Oct 2026, 12:24 UTC128 views3 reactionsread 14 October 2026
File

Написал промпт, который подсветит проблемы в коде. Не по принципу «работает / не работает», а те характеристики кода, на которые нужно смотреть, если вы делаете что-то бОльшее, чем прототип или поделку для себя. А вообще, если честно, бесит тот факт, что темщики и непрофессионалы в IT и программировании становятся главными голосами того мира, о котором они рассказывают. Вчера чувак рассказывал, как продавать трусы …

🔥3

Signed Евгений Шилов

6 Oct 2026, 12:19 UTC87 views3 reactionsread 14 October 2026

Недавно смотрел конференцию Game Push. Там Саша Щевелёв рассказывал, как использует ИИ для работы с бизнес-метриками и развитием своей игры. Чисто бизнесовая тема. Он загружает в ИИ информацию об игре, прошлых ивентах, поведении игроков и получает идеи, что можно попробовать дальше. Потом сам их разбирает: что-то сразу выкидывает как ерунду, что-то оставляет, дорабатывает и внедряет. Имеем вполне вменяемую схему: И…

🔥3

Signed Евгений Шилов

6 Oct 2026, 12:02 UTC73 views8 reactionsread 14 October 2026

Давайте знакомиться. Я Евгений Шилов. 20 лет в разработке софта. Начинал с крупных корпоративных систем класса ERP. С 2020 года в том числе разрабатываю игры на C# и Unity. Больше 5 лет обучаю программистов как начинающих, так и опытных. Работал в Skillbox, GeekBrains и Нетологии, создал собственные программы «Чистый код» и «Чистая архитектура» для милд разработчиков. За это время 700+ человек повысили квалификацию …

🔥8

Signed Евгений Шилов

28 Aug 2026, 08:37 UTC112 views2 reactionsread 14 October 2026
Photo

Sequence диаграммы в хорошем качестве и в виде Mermaid описания и патч по видео о Слоях лежат тут: https://disk.yandex.ru/d/ko8gdzB7o2Y5AA

🔥2

Signed Евгений Шилов

27 Aug 2026, 11:36 UTC108 views3 reactionsread 14 October 2026

Мужики, привет. Новое видео из серии Архитектурный рефакторинг https://www.youtube.com/watch?v=7cocgXfR2Os Что думаете?

🔥3

Signed Евгений Шилов

15 Jul 2026, 09:51 UTCviews —

Клуб Игроделов pinned «Где взять исходники игры, архитектуру которой я рефакторю? Оригинальные исходники лежат на Patreon авторов: 👉 https://www.patreon.com/PracticAPI/posts/perfect-unity-132380321?collection=1581974 Сам архив я вам дать не могу. Ребята продают его примерно за…»

15 Jul 2026, 09:50 UTC119 views5 reactionsread 14 October 2026

Где взять исходники игры, архитектуру которой я рефакторю? Оригинальные исходники лежат на Patreon авторов: 👉 https://www.patreon.com/PracticAPI/posts/perfect-unity-132380321?collection=1581974 Сам архив я вам дать не могу. Ребята продают его примерно за 4,5 доллара, и это не моя собственность и не мои авторские права. Раз авторы решили продавать проект, а не выкладывать его в открытый доступ, я не могу просто взять…

🔥4👀1

2 Jul 2026, 05:19 UTC99 views2 reactionsread 14 October 2026

Планирую провести стрим по архитектуре игр на Unity. Буду рад, если на стрим придет человек 20. Давайте соберем в этом канале человек 40. По статистике из такого числа подписчиков человек 20 как раз приходят на стрим. Пожалуйста, поприглашайте своих друзей и знакомых, кому тема архитектуры в играх актуальна 🙏 Как только соберем тут 40 человек, так выберем дату стрима.

🔥2

Showing the 12 most recent of 12 posts we hold for @igrodely36. 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.

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.

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 29 October 2026 — this entry's latest reading, not the date you are reading this.

“Клуб Игроделов” (@igrodely36), 152 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/igrodely36.

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.