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Channel

GitHub Ready | Git

@git_ready

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

5,892subscribers

-18 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002669699135
TypeChannel
Username@git_ready
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/git_ready

Growth

5,8925,9105,9017 August 2026 — 5,910 subscribers7 August 2026 — 5,910 subscribers10 August 2026 — 5,900 subscribers14 August 2026 — 5,892 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net -18. 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 5,889–5,913 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 13:355,892-8
10 Aug 2026, 21:545,900-10
7 Aug 2026, 23:345,910no change
7 Aug 2026, 16:465,910first reading

Engagement

20 posts held, back to 24 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.50%
avg views ÷ 5,892 subscribers
Avg views / post
560
1 post measured
Reaction rate
2.14%
reactions ÷ views · ER floor
Posts in window
1
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 4 August 2026
Posts held20 (24 May 20264 August 2026)
Views total560
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:44 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
19s
Average length
19s

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

98 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 28.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁2828.6%
🔥2525.5%
1717.3%
👎1212.2%
👍1111.2%
🤝55.10%

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 19 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 98reactions 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 24 May 2026 to 4 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

4 Aug 2026, 15:13 UTC560 views12 reactionsread 12 August 2026
Photo

Photo, posted without a caption

😁111

4 Jul 2026, 19:08 UTC≈1,500 views10 reactionsread 12 August 2026
Video

nothing design Кто-то собрал скилл «nothing design» для Claude Code. Просто вызываешь /nothing-design, и он генерирует весь UI в фирменном монохромном индустриальном стиле. Швейцарская типографика, матричные паттерны и глубокий OLED-чёрный — всё зашито прямо в агент. Cсылка на GitHub

6👍2👎2

1 Jul 2026, 10:35 UTC≈1,340 viewsread 12 August 2026

🐍 FastAPI BackgroundTasks: Как запускать тяжелый код, не заставляя пользователя ждать Когда пользователь нажимает кнопку «Зарегистрироваться» или «Скачать отчет», твой бэкенд на FastAPI должен среагировать мгновенно. Если внутри этого запроса ты начнешь отправлять приветственное письмо через SMTP, генерировать тяжелый PDF-документ или парсить данные через Telethon, пользователь будет уныло смотреть на крутящийся спи

24 Jun 2026, 14:32 UTC≈1,400 views3 reactionsread 12 August 2026
Photo

🖱 Экспортёр директорий проекта в читаемые файлы Dir2txt — инструмент командной строки, который позволяет быстро экспортировать структуру и содержимое директории в файлы форматов .txt или .json. 👉 Главная цель тулзы — помощь в структурировании кода для интеграции с AI-пайплайнами, такими как GPT-агенты и Retrieval-Augmented Generation. Клик

👍3

21 Jun 2026, 17:40 UTC≈1,530 views8 reactionsread 12 August 2026
Photo

🎧 ИИ-музыку почти никто не слушает В новом исследовании изучили Spotify и выяснили, что 93% нейротреков не набирают даже 1000 прослушиваний. Авторы называют это music slop. Тысячи композиций заливают пачками в разные жанры, надеясь случайно попасть в рекомендации. Дистрибьюторы почти этому не мешают, а детекторы пока легко обходятся. А как часто вам попадается в реках нейрохрючево? • Источник

😁71

17 Jun 2026, 14:47 UTC≈1,460 views3 reactionsread 12 August 2026
Photo

🍿 ИИ становится более контекстным: пользователям все реже нужны идеальные промпты Руководитель группы продукта «Поиск и Рекомендации» Яндекс Маркета Любовь Горбунова считает, что необходимость в предельно точных формулировках снижается: нейросеть все лучше понимает запросы и в перспективе с ней можно будет общаться как с консультантом в магазине — в свободной форме и с уточнениями по ходу диалога. Еще один тренд —

👎3

16 Jun 2026, 18:24 UTC≈1,030 views2 reactionsread 12 August 2026
Video

🍿 Мультивселенная схлопнулась.

👍2

12 Jun 2026, 12:05 UTC≈1,240 views2 reactionsread 12 August 2026
Photo

LSP Enforcement Kit for Claude Code Механизм принудительного использования LSP-навигации в Claude Code: 6 хуков + 1 трекер состояния, которые блокируют неэффективные поиски через Grep и направляют Claude к использованию LSP-инструментов для навигации по коду. Поддерживаются MCP-серверы cclsp и Serena LSP. По словам автора, в тестах это дало примерно 73% экономии токенов. Cсылка на GitHub

👍2

8 Jun 2026, 13:18 UTC≈1,160 views4 reactionsread 12 August 2026

🔒 Poetry: Наводим идеальный порядок в зависимостях Python-проектов Каждый, кто хоть раз писал более-менее крупный скрипт на Python, сталкивался с болью управления зависимостями. Классический requirements.txt постоянно разрастается, в него попадают лишние подзависимости (транзитивные пакеты), а при попытке развернуть проект на другом сервере всё ломается из-за конфликта версий. Poetry — это современный инструмент, ко

🤝31

6 Jun 2026, 19:55 UTC915 views2 reactionsread 12 August 2026

🐳 FastAPI + Lifespan: Правильный способ управлять запуском и остановкой приложения Когда ты пишешь бэкенд на Python с использованием FastAPI, тебе часто нужно выполнить какой-то код при старте сервера (например, подключиться к базе данных, прогреть кэш в Redis или инициализировать клиента для Telegram-бота через Telethon) и аккуратно закрыть эти соединения при остановке приложения. Раньше для этого использовались де

🔥2

5 Jun 2026, 09:37 UTC872 views6 reactionsread 12 August 2026

🐳 Docker Init: Секретная команда, которая сама напишет Dockerfile за тебя Когда нужно контейнеризировать новый проект на Python, Node.js или Go, процесс всегда начинается одинаково: ты идешь гуглить правильный шаблон Dockerfile, вспоминаешь, как правильно прокидывать зависимости, копировать файлы и настраивать docker-compose.yml. В итоге тратится время на рутину. Но начиная с версии Docker Desktop 4.18 (и в актуальн

5🤝1

2 Jun 2026, 17:19 UTC899 views3 reactionsread 12 August 2026

📝 Pydantic V2: Валидация данных в Python на космической скорости Если ты пишешь бэкенд на Python (особенно на FastAPI), ты точно знаком с Pydantic. Это главная библиотека для парсинга и валидации данных, которая превращает сырой JSON в строгие Python-объекты. Но если в твоем проекте до сих пор используются старые модели первой версии (V1), ты теряешь огромный запас производительности. Вторая версия Pydantic была пол

🔥3

Showing the 12 most recent of 20 posts we hold for @git_ready. 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

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“GitHub Ready | Git” (@git_ready), 5,892 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/git_ready.

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.