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Channel

КиберХаб - IT и Нейросети

@kyberhub

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

60,729subscribers

-1,263 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001979710445
TypeChannel
Username@kyberhub
DescriptionАвторский контент о Нейросетях, IT и технологиях. Важные новости. Гайды. ChatGPT @ai_apps_bot По рекламе: @MillionBrurries, @neptunion, @reklama_nikita Ссылка на канал: @kyberhub Зарегистрирован в РКН
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/kyberhub

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 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

60,72961,99261,360.57 August 2026 — 61,992 subscribers8 August 2026 — 61,963 subscribers9 August 2026 — 61,935 subscribers9 August 2026 — 61,918 subscribers11 August 2026 — 61,878 subscribers11 August 2026 — 61,840 subscribers12 August 2026 — 61,807 subscribers14 August 2026 — 61,761 subscribers15 August 2026 — 61,705 subscribers17 August 2026 — 61,654 subscribers18 August 2026 — 61,619 subscribers19 August 2026 — 61,599 subscribers20 August 2026 — 61,566 subscribers21 August 2026 — 61,527 subscribers22 August 2026 — 61,485 subscribers24 August 2026 — 61,437 subscribers25 August 2026 — 61,393 subscribers26 August 2026 — 61,330 subscribers27 August 2026 — 61,291 subscribers28 August 2026 — 61,261 subscribers29 August 2026 — 61,230 subscribers30 August 2026 — 61,198 subscribers31 August 2026 — 61,163 subscribers1 September 2026 — 61,124 subscribers2 September 2026 — 61,091 subscribers4 September 2026 — 61,064 subscribers6 September 2026 — 61,018 subscribers9 September 2026 — 60,967 subscribers12 September 2026 — 60,933 subscribers13 September 2026 — 60,869 subscribers15 September 2026 — 60,810 subscribers17 September 2026 — 60,729 subscribers7 August 202617 September 2026
32 measurements spanning 42 days, net -1,263. 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 60,540–62,181 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 21:2060,729-81
15 Sept 2026, 17:5960,810-59
13 Sept 2026, 22:5960,869-64
12 Sept 2026, 04:1660,933-34
9 Sept 2026, 20:5960,967-51
6 Sept 2026, 14:4161,018-46
4 Sept 2026, 02:2161,064-27
2 Sept 2026, 13:3461,091-33
1 Sept 2026, 10:5761,124-39
31 Aug 2026, 10:3461,163-35
30 Aug 2026, 09:2661,198-32
29 Aug 2026, 10:0961,230-31
28 Aug 2026, 08:5761,261-30
27 Aug 2026, 09:3561,291-39
26 Aug 2026, 09:0461,330-63
25 Aug 2026, 06:4261,393-44
24 Aug 2026, 05:3461,437-48
22 Aug 2026, 14:5461,485-42
21 Aug 2026, 06:5261,527-39
20 Aug 2026, 03:5261,566first reading

Engagement

220 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 97 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.95%
avg views ÷ 60,729 subscribers
Avg views / post
2,400
135 posts measured
Reaction rate
0.7%
reactions ÷ views · ER floor
Posts in window
135
of 220 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 134 of 135 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 21 September 2026
Posts held220 (3 August 202621 September 2026)
Views total323,739
Reactions total2,251
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 03:54 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
3,720
Videos
3,910
Links
5,170

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
16m 42s
Average length
46s

Measured directly from 22 videos 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

3,540 reactions across 213 posts, in 10 distinct kinds. The most used accounts for 31.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣1,12431.8%
63317.9%
😨57616.3%
🔥44912.7%
👍41511.7%
😎1052.97%
👨‍💻752.12%
👾722.03%
🎉581.64%
330.932%

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 218 of the 220 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 3,540 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 220 most recent posts we hold, published 3 August 2026 to 21 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.

Telegram Stars

Stars received
8
across the posts below
Posts paid on
8
of 220 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kyberhub. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 220 most recent posts we hold for this entry, published 3 August 2026 to 21 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

21 Sept 2026, 20:31 UTC839 views10 reactionsread 22 September 2026
Photo

Пока мы ищем работу, муха уже вышла на доход в 2 млн рублей в год. КиберХаб | БотGPT

🤣82

21 Sept 2026, 18:14 UTC≈1,280 views3 reactionsread 22 September 2026
Photo

🤖 Grok 4.7 местами обходит GPT-5.6 Sol xAI выпустила Grok 4.7 — новая модель особенно хорошо справляется с кодом, инженерными и юридическими задачами, а также неплохо показывает себя в 3D-дизайне. В некоторых повседневных задачах она обходит GPT-5.6 Sol и Fable 5.1. При этом цены остались прежними — $2 за миллион входных и $6 за миллион выходных токенов, а контекст составляет 500 тысяч токенов. Модель уже доступна

3

21 Sept 2026, 15:03 UTC≈1,700 views21 reactionsread 22 September 2026
Photo

🤖 Gemini случайно взломал три реальные компании Во время теста безопасности ИИ от Google по ошибке получил доступ к настоящему интернету и решил, что реальные компании — часть симуляции. Gemini получил доступ к трём организациям: в одном случае перебирал пароли, а в двух других воспользовался найденными в открытом доступе данными для входа. Google заявила, что ущерба удалось избежать, а Gemini остановился, когда п

🔥7🤣7😨32👨‍💻2

21 Sept 2026, 13:39 UTC≈1,750 views3 reactionsread 22 September 2026
Photo

🎮 PS6 может приблизиться к топовым видеокартам По слухам, консоль получит мощный GPU AMD на RDNA 5, память GDDR7 и производительность около 34–40 Тфлопс в обычной графике. Также ожидаются PSSR 3 и серьёзно улучшенная трассировка лучей. В некоторых сценариях с path tracing PS6 якобы сможет обгонять RX 9070 XT до 70%. При этом напрямую сравнивать консоль с RTX 5080 или 5090 только по Тфлопсам нельзя. КиберХаб | Бот

3

21 Sept 2026, 07:54 UTC≈2,050 views34 reactionsread 22 September 2026
Video

🧬 Вот кто работает внутри вас 24/7 Так выглядит кинезин — молекулярный «курьер» внутри клеток. Он передвигается по микротрубкам на двух своеобразных «ножках» и переносит клеточные грузы. По сути, это крошечный молекулярный транспорт, который постоянно работает внутри организма. Так что в следующий раз, когда устанете на работе, вспомните про него. КиберХаб | БотGPT

🔥276👍1

20 Sept 2026, 20:48 UTC≈2,250 views20 reactionsread 22 September 2026
Photo

📱 Владельцам прошлогоднего iPhone советуют не спешить с обновлением Инсайдер Марк Гурман считает, что переходить на iPhone 18 Pro с предыдущей модели особого смысла нет — изменений слишком мало. Он также призвал осторожнее относиться к восторженным отзывам блогеров, поскольку часть устройств они получают в рамках сотрудничества с Apple. КиберХаб | БотGPT

🤣154👨‍💻1

20 Sept 2026, 14:48 UTC≈2,380 views27 reactionsread 22 September 2026
Photo

🤯 ИИ взломал шифр, который не могли разгадать 83 года GPT-6 Astra расшифровала немецкую радиограмму времён Второй мировой, зашифрованную с помощью «Энигмы». На задачу ушло около 10 часов. Модель нашла связанные архивные сообщения, написала инструменты для криптоанализа и восстановила текст радиограммы. После этого Astra ещё и собрала сайт с историей расшифровки и 3D-симулятором «Энигмы». КиберХаб | БотGPT

😨145👍4🤣4

20 Sept 2026, 08:47 UTC≈2,330 views42 reactionsread 22 September 2026
Photo

Если не знали, куда деть свои старые айфоны, то вот ответ: КиберХаб | БотGPT

🤣33🔥9

19 Sept 2026, 17:29 UTC≈2,440 views23 reactionsread 22 September 2026
Photo

✈️ Пилот нарисовал Мона Лизу прямо в небе Американский пилот на Cessna повторил очертания картины Леонардо да Винчи своим маршрутом полёта. На воздушный «рисунок» ушло 3 часа 47 минут, а в реальном времени за ним следили около 70 тысяч человек. Strava-арты вышли на новый уровень. КиберХаб | БотGPT

21👨‍💻2

19 Sept 2026, 11:55 UTC≈2,370 views29 reactionsread 22 September 2026
Photo

🤯 Из-за ИИ чуть не началась Третья мировая война Нейросеть сообщила американским военным, что китайское судно якобы перевозит компоненты для ядерного оружия. Самолёты уже подняли в воздух для возможного перехвата. К счастью, доклад решили перепроверить — оказалось, ИИ просто ошибся и придумал фейковую информацию. Роботы уничтожат человечество, но пока им мешает фактчекинг. КиберХаб | БотGPT

😨17🤣91🔥1😎1

19 Sept 2026, 07:20 UTC≈2,400 views18 reactionsread 22 September 2026
Photo

💀 OpenAI взломали с помощью Claude Команде белых хакеров Hacktron понадобилось всего 72 часа, чтобы найти две критические уязвимости — в обработке изображений и авторизации. Через одну из них исследователи получили доступ к нескольким аккаунтам ChatGPT, включая аккаунт сотрудника OpenAI с доступом к внутреннему GitHub. Им даже удалось внести изменение в репозиторий. Уязвимости передали OpenAI, а за находку команда

🤣126

19 Sept 2026, 05:41 UTC≈2,400 views25 reactionsread 22 September 2026
Photo

🤯 ChatGPT 7 готовит ответ Gemini и Claude Появились слухи о мультимодальном ChatGPT 7, который якобы нацелен конкурировать с Google Gemini Omni 1.1 Flash и Claude Opus 5. Если слухи подтвердятся, следующая гонка AI обещает быть жаркой. КиберХаб | БотGPT

14👍3🔥32🤣2😨1

Showing the 12 most recent of 220 posts we hold for @kyberhub. 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 edited after publishing

@kyberhub edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
6 September 2026
Most recent edit
6 September 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 2 registered channels — 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.

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.

Бэкдор
@whackdoor · 1,603,481
#1
NN
@naebnet · 2,172,222
#2
Не баг, а фича
@bugfeature · 574,657
#3
1337
@media1337 · 1,152,508
#4
Rozetked
@rozetked · 656,361
#5
Сегодня в тренде
@trends · 1,149,945
#6
Цифровой Журнал | IT, Neiroseti
@chatgptv · 1,855,495
#7
Не баг, а фича
@bugnotfeature · 1,045,696
#8
ChatGPT | Нейросети
@gptpublic · 270,410
#9
Нейродвиж
@neuraldvig · 295,695
#10
в IT и выйти
@techmedia · 1,460,193
#11
Техномотель
@technomotel · 2,804,199
#12
Рестарт
@remedia · 703,568
#13
CodeCamp
@codecamp · 181,400
#14
Technodeus
@technodeus2023 · 103,069
#15
GPT | ChatGPT | Midjourney — GPTMain News
@GPTMainNews · 1,667,989
#16
Технотренды
@techno_media · 790,765
#17
GigaChat
@official_gigachat · 307,595
#18
Нажми Enter | Тренды, ІТ и бизнес
@PushEnter · 91,426
#19
Провод
@provod · 1,466,601
#20
GamersHub
@gamershubrus · 32,223
#21
Droider
@droidergram · 103,400
#22
ТЕХНО: Яндекс про технологии
@techno_yandex · 226,241
#23
IT Юмор
@ithumor · 60,490
#24
Движитал
@dvizhitall · 481,120
#25
Мой Компьютер
@mknewsru · 209,518
#26
Айтишная
@aitshnya · 70,273
#27
Технологии | Нейросети | Боты
@aiaiai · 176,423
#28
Атом Пульс
@atom_pulse · 10,602
#29
GeekNeural
@geekneural · 63,099
#30
КБ. Игры
@cb_games · 379,956
#31
AI Insider
@ai_ins · 42,069
#32
Яндекс
@yandex · 582,624
#33
Programmer & IT Memes
@itmemes · 123,509
#34
NEUROHUB
@neurohub · 15,318
#35
Bard AI | Нейросети & IT
@NeuralToday · 30,447
#36
Hi, AI • Новости технологий
@hiaimedia · 2,644,747
#37
Нейро
@neuro_code · 56,268
#38
Исходный код
@source_code · 33,558
#39
Точка сингулярности💥
@singularityp0int · 13,222
#40
Нейроновости
@neuranews · 19,813
#41
Эксплойт
@exploitex · 2,041,128
#42
Пекарня
@pekagame · 1,091,300
#43
Lifegoodd
@lifegoodd1 · 176,101
#44
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,094,211
#45
Москвач • Новости Москвы
@moscowach · 4,111,005
#46
Код.ру
@d_code · 404,952
#47
TrendWatching
@trendwatching24 · 1,446,765
#48
Романцев768 | Romancev768
@Romancev768 · 764,394
#49
Big Geek
@biggeekru · 575,464
#50
4ch
@why4ch · 1,045,447
#51
Джейпег Малевича
@malepeg · 511,765
#52
Первый Московский
@mosguru · 3,180,311
#53
Epic Games Store
@egs_tg · 71,093
#54
808
@rbtshki · 200,980
#55
Ты в тренде или уходи
@trendsetter · 1,417,532
#56
бумеры смотрят телек
@boomers_TV · 160,058
#57
Маркетинг нефильтрованный
@costperlead · 109,893
#58
о чём говорят коллеги
@kollegi · 207,939
#59
Москва сегодня
@moscow · 2,655,291
#60
Айбелив Айкенфлаев
@ibelieveicanf · 39,024
#61
concertzaal
@concertzaal · 835,965
#62
коллеги, не сутультесь
@bardachko · 565,267
#63
Русский ритейл и бизнес
@retailrus · 291,790
#64
ок, согласовано
@notypicmarketing · 342,096
#65
КудаМосква
@kudamsk24 · 230,378
#66
Передали коллегам
@collegi · 137,793
#67
Сбер
@sberbank · 733,135
#68
nerds
@nerds · 415,438
#69
⚡️ИгроNews⚡️
@in_gme · 19,908
#70
ТОПЛЕС
@toplesofficial · 511,065
#71
Мир PlayStation
@world_playstation · 307,979
#72
Трендач
@trendach · 1,285,000
#73
DIGITALRAZOR
@digitalrazor_pc · 125,306
#74
Куб маркетинга
@cubemark · 60,461
#75
Naked Science
@nsmag · 191,976
#76
Типичная Москва
@moskva_only · 1,353,208
#77
merkulova
@merkulovaai · 3,676
#78
Авто.ру
@carsnosleep · 497,653
#79
Share
@sharemed · 219,854
#80
Ситилинк
@citilink_official · 58,631
#81
эйай ньюз
@ai_newz · 96,889
#82
Москва+
@moscowplus · 1,199,829
#83
Магазин путешествий
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#84
Москва на максималках
@mosjournal · 386,973
#85
Газета.Ru
@gazetaru · 203,935
#86
Дай Откусить
@dauotkysit · 271,838
#87
СберБизнес
@sberbusiness · 243,023
#88

Read from Telegram’s recommendation API, most recently 22 August 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.

Фриланс и Удаленная работа | let media
@let_media · 64,263
Telegram ranks this channel #12 of 76 here — alongside 75 others — read 21 August 2026
Bard AI | Нейросети & IT
@NeuralToday · 30,447
Telegram ranks this channel #18 of 85 here — alongside 84 others — read 7 September 2026
Midjourney | Диджитал
@digital_midjourney · 29,382
Telegram ranks this channel #28 of 81 here — alongside 80 others — read 8 September 2026
Нейролента
@neirosety · 30,294
Telegram ranks this channel #30 of 87 here — alongside 86 others — read 7 September 2026
NeuroADEPT
@neuroadepts · 41,375
Telegram ranks this channel #32 of 85 here — alongside 84 others — read 29 August 2026
MDJ School | IT, нейросети
@mdj_school · 24,649
Telegram ranks this channel #35 of 88 here — alongside 87 others — read 15 September 2026
Lifegoodd
@lifegoodd1 · 176,101
Telegram ranks this channel #36 of 62 here — alongside 61 others — read 12 August 2026
PRO | Нейросети
@pro_neiroset · 31,879
Telegram ranks this channel #38 of 86 here — alongside 85 others — read 5 September 2026
Айтишная
@aitshnya · 70,273
Telegram ranks this channel #39 of 93 here — alongside 92 others — read 20 August 2026
Technodeus
@technodeus2023 · 103,069
Telegram ranks this channel #39 of 76 here — alongside 75 others — read 15 August 2026
Магазин путешествий
@magputru · 27,924
Telegram ranks this channel #41 of 43 here — alongside 42 others — read 10 September 2026
GeekNeural
@geekneural · 63,099
Telegram ranks this channel #47 of 92 here — alongside 91 others — read 21 August 2026
GPT-4 Community
@gpt4_tg · 54,375
Telegram ranks this channel #51 of 90 here — alongside 89 others — read 23 August 2026
ГуголЪ | IT и Тренды
@google_trends2 · 394,056
Telegram ranks this channel #54 of 88 here — alongside 87 others — read 10 August 2026
Айбелив Айкенфлаев
@ibelieveicanf · 39,024
Telegram ranks this channel #70 of 84 here — alongside 83 others — read 30 August 2026
Троянский конь | IT, технологии
@trojan_anonym · 64,576
Telegram ranks this channel #72 of 82 here — alongside 81 others — read 21 August 2026

This channel appears in 16 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“КиберХаб - IT и Нейросети” (@kyberhub), 60,729 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/kyberhub.

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.