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Channel

IT База

@main_it_baza

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

7,137subscribers

+52 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-1002095174700
TypeChannel
Username@main_it_baza
DescriptionВся база, что нужна айтишнику 🚀 У нас разбираются интересные вопросы для тех, кто уже в IT, или только хочет попасть По рекламе — @shmyzna
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live2 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 2 November 2026
On Telegramt.me/main_it_baza

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

7,0657,2527,158.57 August 2026 — 7,085 subscribers7 August 2026 — 7,085 subscribers11 August 2026 — 7,134 subscribers14 August 2026 — 7,159 subscribers17 August 2026 — 7,145 subscribers20 August 2026 — 7,125 subscribers23 August 2026 — 7,107 subscribers26 August 2026 — 7,159 subscribers29 August 2026 — 7,148 subscribers1 September 2026 — 7,145 subscribers5 September 2026 — 7,128 subscribers10 September 2026 — 7,111 subscribers14 September 2026 — 7,099 subscribers18 September 2026 — 7,089 subscribers27 September 2026 — 7,065 subscribers5 October 2026 — 7,252 subscribers11 October 2026 — 7,223 subscribers14 October 2026 — 7,214 subscribers17 October 2026 — 7,192 subscribers20 October 2026 — 7,181 subscribers23 October 2026 — 7,167 subscribers27 October 2026 — 7,153 subscribers30 October 2026 — 7,146 subscribers2 November 2026 — 7,137 subscribers7,1377 August 20262 November 2026
24 measurements spanning 87 days, net +52. 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 7,037–7,280 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
2 Nov 2026, 11:057,137-9
30 Oct 2026, 13:287,146-7
27 Oct 2026, 02:557,153-14
23 Oct 2026, 19:177,167-14
20 Oct 2026, 17:477,181-11
17 Oct 2026, 16:177,192-22
14 Oct 2026, 17:177,214-9
11 Oct 2026, 14:177,223-29
5 Oct 2026, 13:207,252+187
27 Sept 2026, 17:177,065-24
18 Sept 2026, 16:207,089-10
14 Sept 2026, 08:157,099-12
10 Sept 2026, 17:167,111-17
5 Sept 2026, 19:387,128-17
1 Sept 2026, 14:447,145-3
29 Aug 2026, 23:547,148-11
26 Aug 2026, 21:047,159+52
23 Aug 2026, 21:397,107-18
20 Aug 2026, 13:427,125-20
17 Aug 2026, 19:187,145first reading

Engagement

81 posts held, back to 2 August 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 15 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.93%
avg views ÷ 7,137 subscribers
Avg views / post
209
20 posts measured
Reaction rate
0.546%
reactions ÷ views · ER floor
Posts in window
20
of 81 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. It is computed over the 7 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 November 2026
Posts held81 (2 August 2026 – 3 November 2026)
Views total4,185
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 13:39 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
≈1,300
Videos
≈5
Links
≈1,560

Lifetime counters from Telegram’s own channel header, read 3 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.

Reaction mix

27 reactions across 23 posts, in 4 distinct kinds. The most used accounts for 70.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1970.4%
🔥414.8%
👍311.1%
💘13.70%

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 81 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 81 most recent posts we hold, published 2 August 2026 to 3 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

3 Nov 2026, 06:35 UTC124 viewsread 3 November 2026
Photo

🎬 Ytconverter — качаем видео с YouTube из терминала Скачивать видео с YouTube можно без браузера и рекламы — достаточно пары команд в терминале. Ytconverter — это Python-обёртка над yt-dlp, которая превращает рутинную загрузку в удобный интерактивный процесс. Инструмент решает боль ручного ввода команд: вместо запоминания флагов yt-dlp вы получаете интерактивное меню с цветным выводом. Поддерживает скачивание видео…

2 Nov 2026, 21:35 UTC191 viewsread 3 November 2026
Photo

♟️ Pawnix — шахматы прямо в терминале Шахматы удобно гонять на Lichess в браузере, но переключаться на вкладку ради быстрой партии раздражает. Pawnix — минималистичный клиент на Python, который держит всю игру в терминале, включая онлайн-матчи. Проблема — запускать шахматы быстро, без лишних окон и кликов. Решение: клиент на curses с локальной игрой на двоих, поддержкой SAN/UCI-ввода, часов, рокировки, превращения …

2 Nov 2026, 18:35 UTC166 views1 reactionsread 3 November 2026

🔥 500+ шпаргалок по ML на русском Если изучаешь машинное обучение и хочешь систематизировать знания, обрати внимание на этот репозиторий. Этот репозиторий — настоящая энциклопедия для тех, кто учит ML. Внутри 500+ шпаргалок на русском: от основ Python и классических алгоритмов до трансформеров и MLOps. Каждая шпаргалка включает теорию, математику, примеры на Python, визуализации и советы. Есть готовые маршруты обуч…

❤1

2 Nov 2026, 14:35 UTC195 viewsread 3 November 2026
Photo

🤖 Hummingbot — фреймворк для торговых ботов на Python Если когда-нибудь задумывался о создании собственного торгового бота, но не знал, с чего начать, есть готовый инструмент на Python. Hummingbot позволяет писать и запускать стратегии для криптобирж без необходимости строить всю инфраструктуру с нуля. Hummingbot — это открытый фреймворк на Python для разработки и запуска торговых ботов на CEX и DEX. За последний г…

2 Nov 2026, 06:35 UTC223 viewsread 3 November 2026
Photo

🐍 100 вопросов для собеседования Python Senior На собеседовании уровня Senior уже не спрашивают про разницу между списком и кортежем. Зато проверяют, как вы понимаете внутреннее устройство CPython, работу GIL и asyncio, метаклассы и типизацию. Авторы собрали 100 реальных вопросов с ответами и примерами к к Подборка покрывает ключевые темы: устройство объектов в CPython и управление памятью, GIL, многопоточность и a…

1 Nov 2026, 22:35 UTC229 viewsread 3 November 2026
Photo

🗺️ Terrascope: карта мира в терминале на Python Для тех, кто проводит много времени в терминале и хочет получать данные о мире без переключения в браузер, Terrascope предлагает интерактивную карту прямо в консоли. Проект написан на Python и использует curses, Unicode-символы Брайля и цвета терминала, чтобы图 Terrascope отображает страны, названия мест, самолёты в реальном времени, погоду в городах, радиолокационные …

1 Nov 2026, 18:35 UTC222 views0 reactionsread 3 November 2026

:globe_with_meridians: HTTPX — HTTP-клиент нового поколения для Python Requests давно стал стандартом для веб-запросов, но у него нет нативной асинхронности и поддержки HTTP/2. HTTPX решает это: совместимый API, но с async и современными протоколами. HTTPX даёт привычный синхронный интерфейс, а при необходимости — асинхронный. Поддерживает HTTP/1.1 и HTTP/2, умеет обращаться напрямую к WSGI и ASGI приложениям, полн…

1 Nov 2026, 14:35 UTC221 viewsread 3 November 2026

🎬 Коллекция вирусных анимаций от Claude Opus 5.5 Генеративная анимация становится всё популярнее, но найти хорошие примеры и промпты для обучения сложно. Репозиторий awesome-opus5-5-videos собирает вирусные видео, созданные с помощью Claude Opus 5.5, и делится промптами, которые их породили. Это не просто галерея — это практический ресурс. В репозитории более 400 видео, сгруппированных по категориям: motion graphic…

1 Nov 2026, 07:20 UTC207 views1 reactionsread 3 November 2026
Photo

🧑‍💻 OpenSpline — живое лицо для голосового ИИ Хотите, чтобы ваш голосовой агент не просто говорил, а еще и визуально выглядел как настоящий собеседник? OpenSpline превращает портрет и генерируемое аудио в синхронизированное видео в реальном времени. Поддерживает Python и Node.js, работает с любыми TTS-пот OpenSpline решает проблему отсутствия визуальной обратной связи у голосовых агентов: вы передаете поток аудио о…

🔥1

31 Oct 2026, 22:20 UTC215 views2 reactionsread 3 November 2026
Photo

📄 PDF2MD — конвертер PDF с проверкой OCR Обычные конвертеры PDF в Markdown выдают текст и молчат, даже если часть страниц потерялась или OCR распознал мусор. Особенно больно, когда речь идет о юридических документах, архивах или бухгалтерии — доверять результату без проверки рискованно. PDF2MD — это десктопное приложение (Tkinter) для Windows, Linux и macOS, которое превращает PDF, сканы, фото и офисные файлы в Mar…

❤1👍1

Showing the 12 most recent of 81 posts we hold for @main_it_baza. 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.

Posts recorded as deleted after publishing

We recorded 5 posts on @main_it_baza as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
20 August 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0

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 2 November 2026 — this entry's latest reading, not the date you are reading this.

“IT База” (@main_it_baza), 7,137 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/main_it_baza.

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.