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Channel

IT Portal

@IT_Portal

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

118,983subscribers

+17,289 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002102826919
TypeChannel
Username@IT_Portal
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held46
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/IT_Portal

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 10 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 the other topics.

Growth

16119,50559,760.56 August 2026 — 101,694 subscribers7 August 2026 — 101,697 subscribers8 August 2026 — 101,644 subscribers9 August 2026 — 101,615 subscribers10 August 2026 — 101,720 subscribers11 August 2026 — 101,705 subscribers12 August 2026 — 101,656 subscribers13 August 2026 — 101,596 subscribers14 August 2026 — 101,498 subscribers16 August 2026 — 101,461 subscribers17 August 2026 — 101,421 subscribers18 August 2026 — 101,379 subscribers19 August 2026 — 101,340 subscribers20 August 2026 — 101,295 subscribers21 August 2026 — 101,232 subscribers22 August 2026 — 101,184 subscribers24 August 2026 — 101,118 subscribers25 August 2026 — 101,085 subscribers26 August 2026 — 101,015 subscribers27 August 2026 — 100,973 subscribers28 August 2026 — 100,868 subscribers29 August 2026 — 100,836 subscribers30 August 2026 — 100,775 subscribers31 August 2026 — 100,696 subscribers1 September 2026 — 100,639 subscribers2 September 2026 — 100,568 subscribers4 September 2026 — 100,552 subscribers6 September 2026 — 100,558 subscribers10 September 2026 — 100,454 subscribers12 September 2026 — 100,399 subscribers14 September 2026 — 100,325 subscribers15 September 2026 — 100,255 subscribers17 September 2026 — 100,284 subscribers30 September 2026 — 99,978 subscribers5 October 2026 — 99,777 subscribers9 October 2026 — 99,726 subscribers13 October 2026 — 16 subscribers21 October 2026 — 38 subscribers29 October 2026 — 119,505 subscribers30 October 2026 — 119,427 subscribers31 October 2026 — 119,318 subscribers1 November 2026 — 119,153 subscribers2 November 2026 — 119,077 subscribers3 November 2026 — 118,993 subscribers4 November 2026 — 118,957 subscribers5 November 2026 — 118,983 subscribers118,9836 August 20265 November 2026
46 measurements spanning 90 days, net +17,289. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)SubscribersChange
5 Nov 2026, 03:28118,983+26
4 Nov 2026, 05:51118,957-36
3 Nov 2026, 06:56118,993-84
2 Nov 2026, 05:10119,077-76
1 Nov 2026, 06:09119,153-165
31 Oct 2026, 06:45119,318-109
30 Oct 2026, 08:14119,427-78
29 Oct 2026, 11:19119,505+119,467
21 Oct 2026, 09:1638+22
13 Oct 2026, 16:1916-99,710
9 Oct 2026, 19:2299,726-51
5 Oct 2026, 15:1599,777-201
30 Sept 2026, 00:3899,978-306
17 Sept 2026, 23:21100,284+29
15 Sept 2026, 18:18100,255-70
14 Sept 2026, 01:01100,325-74
12 Sept 2026, 09:57100,399-55
10 Sept 2026, 06:56100,454-104
6 Sept 2026, 22:57100,558+6
4 Sept 2026, 08:42100,552first reading

Engagement

205 posts held, back to 28 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 161 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.6%
avg views ÷ 118,983 subscribers
Avg views / post
16,100
51 posts measured
Reaction rate
0.942%
reactions ÷ views · ER floor
Posts in window
51
of 205 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 November 2026
Posts held205 (28 July 2026 – 4 November 2026)
Views total823,310
Reactions total7,754
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 02:35 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
42m 44s
Average length
40s

Measured directly from 64 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

20,808 reactions across 205 posts, in 24 distinct kinds. The most used accounts for 24.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5,19124.9%
😁3,92118.8%
🤣3,54217.0%
🔥2,66812.8%
👍2,14010.3%
😢4782.30%
😱4722.27%
🫡4131.98%
🤯3761.81%
🌚2571.24%
🗿2491.20%
🤔2431.17%
🍌2241.08%
🤷‍♂1710.822%
🎉1350.649%
🤨1170.562%
🐳540.26%
🤩470.226%
🕊280.135%
🌭250.12%
4 further kinds570.274%

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 205 of the 205 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 20,808 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 205 most recent posts we hold, published 28 July 2026 to 4 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.

Telegram Stars

Stars received
9
across the posts below
Posts paid on
7
of 205 we hold a reading for · 3%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @IT_Portal. 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 205 most recent posts we hold for this entry, published 28 July 2026 to 4 November 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.

Advertising

Ad load
2.93%
6 of 205 posts carry an ad marker
Regulatory tokens
6
posts carrying an erid · 6 distinct tokens
Median views · ads
11,000
over 6 measured posts
Median views · rest
11,600
over 199 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjdVRoes121 August 202621 August 2026
2VtzqvyQkCa128 July 202628 July 2026
2W5zFGjkknD118 September 202618 September 2026
2W5zFJ7ggG9120 August 202620 August 2026
2W5zFKAE8KT130 October 202630 October 2026
CQH36pWzJqE1dR7FmB2pdvWuQpfyd4gEmAgZVLtmfbEWJZ121 September 202621 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 205 most recent posts we hold, published 28 July 2026 to 4 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 51 posts held from the last 30 days (3.92%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 10:12 UTC≈9,970 views69 reactionsread 5 November 2026
Photo

Пользователь Reddit выяснил, почему недельные лимиты Claude Code стали расходоваться почти в четыре раза быстрее. Он собрал статистику использования токенов за прошлую и текущую недели и обнаружил существенную разницу. Раньше на каждый 1% недельного лимита приходилось около 119 тысяч выходных токенов. Теперь этот показатель упал до 31 тысячи, то есть эффективность использования лимита снизилась в 3,8 раза. Среди в…

🌚41❤13🐳7👍5😢2🤣1

4 Nov 2026, 07:50 UTC≈10,300 views81 reactionsread 5 November 2026
Photo

Руководитель направления прикладной ИИ-разработки OpenAI Вульфи Бейн поделился четырьмя советами по составлению резюме. За годы работы в BCG, стартапах и OpenAI он изучил тысячи резюме и выделил четыре главных правила: 1. Пишите кратко. В идеале резюме должно занимать не больше одной страницы. 2. Убирайте всё, что не имеет отношения к вакансии. 3. Рассказывайте о результатах, а не просто перечисляйте выполненные за…

🤣62❤10👍7🔥2

4 Nov 2026, 04:49 UTC≈11,600 views127 reactionsread 5 November 2026
Photo

ИИ по-прежнему не стоит доверять безоговорочно. Разработчик попросил OpenAI Codex перезагрузить сервер, а вместо этого получил ущерб более чем на 10 тысяч долларов. В отчёте об ошибке на GitHub он рассказал, что ИИ-агент нарушил работу дисков, systemd и контейнеров. Вдобавок самостоятельно запустил скрипты, о которых его никто не просил. Codex впоследствии признал, что не имел права вносить подобные изменения, и и…

🤯70😁36❤12🗿3😢3🤔2🍌1

3 Nov 2026, 17:19 UTC≈14,300 views177 reactionsread 5 November 2026
Photo

Revolut перевела около 2000 инженеров на локально развёрнутые модели GLM для программирования, а Claude Code и Codex теперь используются лишь в исключительных случаях. По словам Дэвида Абитбола, руководителя направления ИИ-операций компании, для этого задействовали 56 ускорителей Nvidia B200. Средняя стоимость составила всего 30 центов за миллион токенов, примерно в десять раз меньше, чем компания платила Anthropic …

🔥128👍25❤20🍌2😁2

3 Nov 2026, 04:51 UTC≈16,200 views197 reactionsread 5 November 2026
Video

ЧТООО: Исследователи MIT показали, что GPT-6 Astra способна улучшать другие ИИ-модели, напрямую изменяя их веса без дополнительного обучения. 😰 В ходе эксперимента Astra повысила точность Qwen3.5-0.8B на математическом бенчмарке MATH-500 с 7,9% до 48,1%, изменив всего 0,016% весов нейросети. Исследователи предоставили Astra доступ к весам Qwen через Python-ноутбук и разрешили выполнить до 50 тестовых запусков на ма…

❤105👍43🔥19🤣12🫡7😱7🍌2🏆2

2 Nov 2026, 15:17 UTC≈16,100 views85 reactions2 Starsread 5 November 2026

Гарвард бесплатно открыл один из самых подробных курсов по инженерии систем машинного обучения. Курс CS249r выходит далеко за рамки архитектуры нейросетей. Основное внимание уделено инженерной инфраструктуре, от которой зависит обучение и эффективный запуск моделей: процессорам, иерархии памяти, передаче данных, ускорителям, распределённым вычислениям, инференсу, квантованию, сервингу, надёжности и развёртыванию. В…

❤58🔥16👍8🗿3

2 Nov 2026, 08:10 UTC≈16,400 views66 reactionsread 5 November 2026
Photo

После вчерашнего эксперимента Андрея Карпати, который за два часа создал HackerTube с помощью Opus 5.5, появился ещё один похожий проект — HackerBooks. Он собирает книги, упоминаемые в публикациях и обсуждениях на Hacker News. В каталог попало более 15 000 книг, но учитываются только те, которые упомянули как минимум два человека. Получилась весьма интересная библиотека рекомендаций. Среди наиболее популярных книг …

❤43🔥16👍5🤔2

2 Nov 2026, 05:03 UTC≈17,100 views382 reactionsread 5 November 2026
Photo

Как поймать Скам Альтмана. @IT_Portal

🤣301❤47😁29🔥3🌚1👍1

1 Nov 2026, 15:18 UTC≈18,000 views139 reactionsread 5 November 2026
Photo

На GitHub выложили полноценный практический курс по DevOps с подготовкой инфраструктуры к продакшену. Курс включает 18 лабораторных работ, в ходе которых вы научитесь развёртывать одно приложение, последовательно осваивая Docker, CI/CD, Terraform, Kubernetes, Helm, Argo CD, Prometheus, Grafana и методы постепенного развёртывания обновлений. https://github.com/inno-devops-labs/DevOps-Core-Course @IT_Portal

🔥100❤30🍌4👍3🏆2

1 Nov 2026, 12:51 UTC≈18,600 views113 reactionsread 5 November 2026

CLAUDE СТУКАЧ. После ответа Claude тайно составляет и сохраняет отчёт о подозрительной активности пользователя. Несколько таких отчётов могут объединяться на уровне организации и передаваться специалистам Anthropic для расследования. Claude и раньше напоминал чопорную гувернантку с палкой в заднице. Теперь же после каждого разговора эта гувернантка ещё и тайно заводит на вас досье, а о повторяющихся непристойных мы…

🤷‍♂62🤯21❤15😁9👍3🌭1🍌1🕊1

1 Nov 2026, 05:01 UTC≈17,900 views174 reactionsread 5 November 2026
Video

Ничего необычного, просто разработчик создаёт редактор персонажей для Oblivion VR, в котором можно буквально лепить лица руками. 🤓 @IT_Portal

😁107🤣43❤16🗿8

31 Oct 2026, 18:21 UTC≈19,400 views418 reactionsread 5 November 2026
Video

Сэм Альтман объяснил, почему оперативной памяти не хватает. Оказывается, слишком много людей держат её в собственных ПК. «Многие хотят запускать модели локально и почему-то считают, что с появлением open-source моделей проблема уже решена. Теперь мы сможем запускать их на собственных компьютерах, а значит, вся инфраструктура дата-центров нам больше не понадобится. Однако с точки зрения глобального распределения рес…

😁180🤣146🍌44🗿18❤15👍5🤨5🌭4

Showing the 12 most recent of 205 posts we hold for @IT_Portal. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@IT_Portal edited 2 posts 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
4 September 2026
Most recent edit
6 September 2026

Posts recorded as deleted after publishing

We recorded 12 posts on @IT_Portal 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
3 November 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
2

Forward network

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 34 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

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Хауди Хо - IT юмор, жизнь программиста
@howdyho_official · 77,635
#35
Склад айтишки
@skladitshki · 7,205
#36
Простой Python | Программирование
@python_piton_javascript · 124,064
#37
Frontend | Вопросы собесов
@easy_javascript_ru · 17,343
#38
Хабр
@habr_com · 134,037
#39
Библиотека программиста
@devs_storage · 18,982
#40
Social Engineering
@Social_engineering · 124,777
#41
Pro Python • IT
@PythonTechCode · 4,148
#42
ZeroDay | Кибербезопасность
@cybersec_academy · 42,652
#43
Логово верстальщика
@webdevlair · 7,830
#44
infosec
@it_secur · 63,299
#45
C# Portal | Программирование
@KodBlog · 13,205
#46
Frontend Matrix
@frontendmatrix · 2,226
#47
QA Portal | Тестирование
@QAPortal · 8,410
#48
JSON → Айти Memes
@json_tg · 1,580
#49
Kali Linux
@linuxkalii · 55,818
#50
Machinelearning
@ai_machinelearning_big_data · 276,512
#51
Мемы для фронтендеров
@frontendmems · 1,277
#52
python_practics
@python_practics · 5,111
#53
CodHub | Программирование
@CodHub_CH · 10,801
#54
Node.JS [ru] | Серверный JavaScript
@we_use_js · 10,627
#55
Bash Days | Linux | DevOps
@bashdays · 23,629
#56
Golang
@Golang_google · 40,475
#57
Javascript
@javascriptv · 16,710
#58
GameDev Portal | Разработка Игр
@GameDevgx · 8,210
#59
ВойтиВАйТи
@uneed_it · 2,854
#60
Руслан Куянец | Reactify x YeaHub
@reactify_IT · 6,287
#61
Backend Matrix
@backendmatrix · 2,546
#62
Анализ данных (Data analysis)
@data_analysis_ml · 51,924
#63
Склад разработчика
@devs_store · 11,649
#64
Библиотека программиста
@proglibrary · 77,711
#65
infosecurity
@tg_infosec · 26,862
#66
CodeLang | Английский в IT
@code_language · 4,333
#67
Эксплойт
@exploitex · 2,029,038
#68
Pythoner
@pythonercode · 6,542
#69
Бэкдор
@whackdoor · 1,545,164
#70
Секреты Java
@JavaScriptLove1 · 7,332
#71
Java | Вопросы собесов
@easy_java_ru · 11,292
#72
Python | Вопросы собесов
@python_easy_ru · 12,544
#73
Physics.Math.Code
@physics_lib · 146,693
#74
Python | Тесты
@easy_python_tests · 5,700
#75
Грокаем C++
@grokaemcpp · 9,344
#76
DevOps | Вопросы собесов
@easy_devops · 5,564
#77
1337
@media1337 · 1,107,839
#78

Read from Telegram’s recommendation API, most recently 15 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.

Python Developer
@python_tg · 21,181
Telegram ranks this channel #3 of 85 here — alongside 84 others — read 25 September 2026
Montana.exe
@dejavu041 · 49,559
Telegram ranks this channel #3 of 80 here — alongside 79 others — read 25 August 2026
Python Portal
@PythonPortal · 50,970
Telegram ranks this channel #3 of 80 here — alongside 79 others — read 25 August 2026
InfoSec Portal
@cybersecinform · 20,005
Telegram ranks this channel #5 of 75 here — alongside 74 others — read 2 October 2026
Frontend Portal
@FrontendPortal · 36,296
Telegram ranks this channel #5 of 90 here — alongside 89 others — read 1 September 2026
Английский для программиста | EnglishScript
@EnglishScript · 44,445
Telegram ranks this channel #8 of 82 here — alongside 81 others — read 27 August 2026
Простой Python | Программирование
@python_piton_javascript · 124,064
Telegram ranks this channel #9 of 84 here — alongside 83 others — read 13 August 2026
Open IT | Архив
@openit_archive · 18,770
Telegram ranks this channel #10 of 59 here — alongside 58 others — read 5 October 2026
Code Ready | Frontend
@code_ready · 21,578
Telegram ranks this channel #10 of 89 here — alongside 88 others — read 23 September 2026
[PYTHON:TODAY]
@python2day · 63,386
Telegram ranks this channel #11 of 91 here — alongside 90 others — read 21 August 2026
GitHub Community
@github · 155,170
Telegram ranks this channel #12 of 87 here — alongside 86 others — read 12 August 2026
Хауди Хо - IT юмор, жизнь программиста
@howdyho_official · 77,635
Telegram ranks this channel #13 of 90 here — alongside 89 others — read 18 August 2026
Windows Club | КДЧ
@pcTeapot · 39,441
Telegram ranks this channel #14 of 53 here — alongside 52 others — read 30 August 2026
Windows Community
@wind_community · 40,893
Telegram ranks this channel #14 of 74 here — alongside 73 others — read 29 August 2026
Python Learning
@Python_per_month · 27,897
Telegram ranks this channel #16 of 86 here — alongside 85 others — read 9 September 2026
Сайтодел | GitHub, Верстка, Сайты, Вайбкодинг
@sitodel · 25,459
Telegram ranks this channel #17 of 89 here — alongside 88 others — read 13 September 2026
Заметки Бэкендера
@backend_it · 18,721
Telegram ranks this channel #18 of 73 here — alongside 72 others — read 4 October 2026
Поколение Python 🐍
@pygen_ru · 50,307
Telegram ranks this channel #18 of 93 here — alongside 92 others — read 25 August 2026
Porscode | CMD
@porscode_tg · 28,143
Telegram ranks this channel #21 of 77 here — alongside 76 others — read 9 September 2026
Python Hacks
@python_secrets · 40,387
Telegram ranks this channel #21 of 82 here — alongside 81 others — read 30 August 2026
Python/ django
@pythonl · 58,382
Telegram ranks this channel #21 of 84 here — alongside 83 others — read 22 August 2026
Однажды в трендах
@trendo · 66,624
Telegram ranks this channel #21 of 90 here — alongside 89 others — read 20 August 2026
Stepik – онлайн-курсы
@stepik_courses · 28,934
Telegram ranks this channel #22 of 93 here — alongside 92 others — read 16 September 2026
Белый хакер
@bezopasno_soft · 29,633
Telegram ranks this channel #23 of 78 here — alongside 77 others — read 8 September 2026

This channel appears in 63 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“IT Portal” (@IT_Portal), 118,983 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/IT_Portal.

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.