Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
36 measurements spanning 44 days, net -180. 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 24,711–24,945 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:56
24,738
-4
16 Sept 2026, 15:39
24,742
-10
14 Sept 2026, 21:39
24,752
-8
13 Sept 2026, 08:41
24,760
-6
11 Sept 2026, 12:19
24,766
-12
8 Sept 2026, 16:17
24,778
-22
5 Sept 2026, 09:40
24,800
-4
3 Sept 2026, 10:58
24,804
-8
2 Sept 2026, 07:42
24,812
-1
1 Sept 2026, 08:58
24,813
-5
31 Aug 2026, 06:24
24,818
-3
30 Aug 2026, 09:35
24,821
-1
29 Aug 2026, 10:13
24,822
-4
28 Aug 2026, 08:13
24,826
-2
27 Aug 2026, 09:03
24,828
-4
26 Aug 2026, 10:46
24,832
-4
25 Aug 2026, 13:16
24,836
-3
24 Aug 2026, 13:07
24,839
-5
22 Aug 2026, 22:36
24,844
-1
21 Aug 2026, 11:43
24,845
first reading
Engagement
6 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 58 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4s
Average length
4s
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
12 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 75.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
9
75.0%
❤
1
8.33%
👍
1
8.33%
😍
1
8.33%
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 6 of the 6 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 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 23 July 2026 to 7 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.
Хочешь научиться взламывать и защищать сложные IT-системы, стать «белым хакером» и получать топовый доход?
Переходи по ссылке и оставляй заявку на курс по кибербезопасности ☝️
🟣 спрос на специалистов растет на 40% каждый год
🟣 практика на симуляторах реально совершенных хакерских атак
🟣 помощь с трудоустройством от партнера
Мы в MAX: https://max.ru/geekbrains_bot
Выбирать профессию в 2026 году – это не про выбор «один раз и на всю жизнь». Это умение выбрать навык, который даст свободу, удаленку и финансовую независимость 🚀💸
Мы открыли набор на 4 самых востребованных и прибыльных направления этого года. Листай карусель и выбирай, что нравится тебе 👉
Переходи по ссылке и бронируй за собой место по лучшей цене ☝️
Мы в MAX: https://max.ru/geekbrains_bot
Хочешь выйти за рамки простого декора и научиться с нуля проектировать интерьеры коммерческого уровня, работать с планировками, светом, материалами и реалистичной 3D-визуализацией – ждем тебя на курсе «Дизайнер интерьера» в GeekBrains.
Забирай обучение со скидкой до 65% на нашем масштабном SALE!
Мы в MAX: https://max.ru/geekbrains_bot
Мы не смогли оставить тебя без крутых скидок до конца лета 😉
Переходи по ссылке, выбирай любую профессию со скидкой до 75% и получай 3 курса в подарок ☝️
Мы в MAX: https://max.ru/geekbrains_bot
Большинство людей используют ChatGPT как продвинутый Гугл или синонимайзер: «напиши пост», «сократи текст», «переведи на английский». И упускают 90% его реальной мощи ⚡️
Если ты хочешь перестать просто копировать чужие промты и научиться применять ИИ на профессиональном уровне – ждем тебя на курсе «Нейросети. Оптимальный пакет».
Успей зафиксировать место на последнем потоке со скидкой до 60%
Оставляй заявку по ссы…
Лето в самом разгаре, а значит – время почиллить и зарядиться правильной мотивацией 🛋
Собрали для тебя 7 мощных сериалов, которые показывают IT со всех сторон: от сурового кибербеза и квантовых лабораторий до стартап-хаоса и офисного юмора. Листай карусель, выбирай свой вайб и смотри, какие навыки делают героев этих шоу незаменимыми специалистами.
Оставляй заявку по ссылке ⬆️
Мы в MAX: https://max.ru/geekbrains_bot
Showing the 6 most recent of 6 posts we hold for @geekbrains_ru. 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.
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.
Read from Telegram’s recommendation API, most recently 15 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.
Skillbox: образовательная платформа @skillboxru · 36,724 Telegram ranks this channel #55 of 97 here — alongside 96 others — read 3 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“GeekBrains” (@geekbrains_ru), 24,738 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/geekbrains_ru.
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.