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Channel

Прогер

@proger3

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

87,219subscribers

-3,536 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001238839102
TypeChannel
Username@proger3
DescriptionПрограммирование и айти Сотрудничество: @devmangx Ресурс в перечне: https://tinyurl.com/umnyiprg
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 October 2026
Measurements held41
Confirmed unchanged1 time, most recently 16 October 2026
On Telegramt.me/proger3

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 9 September 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

87,18690,75588,970.56 August 2026 — 90,755 subscribers6 August 2026 — 90,755 subscribers7 August 2026 — 90,743 subscribers8 August 2026 — 90,682 subscribers9 August 2026 — 90,639 subscribers10 August 2026 — 90,578 subscribers11 August 2026 — 90,524 subscribers12 August 2026 — 90,461 subscribers13 August 2026 — 90,409 subscribers14 August 2026 — 90,321 subscribers16 August 2026 — 90,245 subscribers17 August 2026 — 90,173 subscribers18 August 2026 — 90,126 subscribers19 August 2026 — 90,051 subscribers20 August 2026 — 90,003 subscribers22 August 2026 — 89,914 subscribers23 August 2026 — 89,844 subscribers25 August 2026 — 89,740 subscribers26 August 2026 — 89,668 subscribers27 August 2026 — 89,607 subscribers28 August 2026 — 89,550 subscribers29 August 2026 — 89,488 subscribers30 August 2026 — 89,429 subscribers31 August 2026 — 89,351 subscribers1 September 2026 — 89,291 subscribers2 September 2026 — 89,232 subscribers3 September 2026 — 89,161 subscribers5 September 2026 — 89,049 subscribers9 September 2026 — 88,857 subscribers11 September 2026 — 88,739 subscribers13 September 2026 — 88,650 subscribers15 September 2026 — 88,551 subscribers17 September 2026 — 88,461 subscribers19 September 2026 — 88,323 subscribers26 September 2026 — 87,963 subscribers4 October 2026 — 87,549 subscribers9 October 2026 — 87,338 subscribers13 October 2026 — 87,200 subscribers14 October 2026 — 87,186 subscribers15 October 2026 — 87,205 subscribers16 October 2026 — 87,219 subscribers87,2196 August 202616 October 2026
41 measurements spanning 71 days, net -3,536. 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 86,651–91,290 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 41
Measured (UTC)SubscribersChange
16 Oct 2026, 12:3787,219+14
15 Oct 2026, 15:5087,205+19
14 Oct 2026, 18:4087,186-14
13 Oct 2026, 09:3087,200-138
9 Oct 2026, 07:0187,338-211
4 Oct 2026, 17:1687,549-414
26 Sept 2026, 15:2187,963-360
19 Sept 2026, 17:3988,323-138
17 Sept 2026, 05:1788,461-90
15 Sept 2026, 06:1988,551-99
13 Sept 2026, 12:0188,650-89
11 Sept 2026, 15:2188,739-118
9 Sept 2026, 01:3888,857-192
5 Sept 2026, 16:4189,049-112
3 Sept 2026, 13:2089,161-71
2 Sept 2026, 05:2389,232-59
1 Sept 2026, 07:1489,291-60
31 Aug 2026, 09:3689,351-78
30 Aug 2026, 06:5889,429-59
29 Aug 2026, 06:3689,488first reading

Engagement

184 posts held, back to 30 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 150 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.08%
avg views ÷ 87,219 subscribers
Avg views / post
6,170
72 posts measured
Reaction rate
0.66%
reactions ÷ views · ER floor
Posts in window
72
of 184 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 16 October 2026
Posts held184 (30 July 2026 – 16 October 2026)
Views total444,360
Reactions total2,931
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Oct 2026, 05:23 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
≈2,420
Videos
≈436
Links
≈2,240

Lifetime counters from Telegram’s own channel header, read 17 October 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
4h 19m
Average length
6m 39s

Measured directly from 39 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

7,823 reactions across 184 posts, in 24 distinct kinds. The most used accounts for 33.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,59233.1%
😁1,13714.5%
👍1,12414.4%
🤣98612.6%
🔥7319.34%
🤔2683.43%
😢2012.57%
🌚1602.05%
🗿1041.33%
🤩951.21%
🤯851.09%
🤷‍♂680.869%
🐳640.818%
🤨640.818%
😱410.524%
🍌310.396%
🎉260.332%
🌭240.307%
🫡60.077%
🤝50.064%
4 further kinds110.141%

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 184 of the 184 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 7,823 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 184 most recent posts we hold, published 30 July 2026 to 16 October 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
18
across the posts below
Posts paid on
12
of 184 we hold a reading for · 7%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @proger3. 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 184 most recent posts we hold for this entry, published 30 July 2026 to 16 October 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

16 Oct 2026, 16:07 UTC≈2,430 views19 reactionsread 17 October 2026
Video

Нейросеть под микроскопом Исследователи создали CNN Explainer - интерактивный инструмент, позволяет заглянуть внутрь свёрточной нейросети Можно загрузить картинку, подробно исследовать работу отдельных слоёв, посмотреть, как фильтры выделяют признаки, и разобраться в свёртках, ReLU, pooling и классификации. ✅ подписаться

❤13🤯3🤔2😱1

16 Oct 2026, 10:11 UTC≈5,100 views119 reactionsread 17 October 2026
Photo

Claude устроился тимлидом и заставил 161 Codex работать за себя Парень попросил нейросеть сделать минутный ролик. Claude Code обнаружил установленный на компьютере Codex и придумал гениальный план: запустить 161 его сессию для генерации кадров. Сам Claude решил заниматься исключительно менеджментом: раздавать задачи, следить за ошибками и собирать результат. ✅ подписаться

😁109🌚5🤷‍♂3😱2

16 Oct 2026, 09:12 UTC≈4,390 views9 reactionsread 17 October 2026
Video

👩‍💻 Всем программистам посвящается! Вот 14 авторских обучающих IT каналов по самым востребованным областям программирования: Выбирай своё направление: 👩‍💻 Python — t.me/python_ready 🤔 InfoSec & Хакинг — t.me/hacking_ready 🖥 SQL & Базы Данных — t.me/sql_ready 👩‍💻 IT Новости — t.me/it_ready 🤖 AI & ML — t.me/neuro_ready 👩‍💻 Frontend — t.me/frontend_ready 👩‍💻 C/C++ — https://t.me/cpp_ready 👩‍💻 C# & Unity — t.…

❤3🤣3🤨2👍1

16 Oct 2026, 06:07 UTC≈4,650 views36 reactionsread 17 October 2026
Photo

Нейросеть отказалась обманывать тест, чтобы не испортить будущее другим ИИ GLM-5.3 столкнулась с ошибочной проверкой кода, которую можно было пройти только подогнав решение под неправильный результат. Но модель отказалась и объяснила: такой код может попасть в обучающие данные и навредить будущим поколениям нейросетей. В отдельных экспериментах подобные рассуждения возникали даже без упоминания обучения, примерно в…

🤔21👍8🤣6😁1

15 Oct 2026, 16:07 UTC≈5,130 views41 reactionsread 17 October 2026
Photo

В Telegram готовят одно из самых интересных обновлений для каналов В бета-версии Telegram для macOS 13.0 обнаружили новую вкладку «Новости», где будут показываться публикации из каналов и рекомендации под интересы пользователя. ✅ подписаться

❤17🤨11🐳8🤣5

15 Oct 2026, 11:05 UTC≈5,010 views48 reactionsread 17 October 2026
Forwarded from @linuxos_tgPhoto

Линус Торвальдс назвал правила, запрещающие использование ИИ, «ПОЛНЕЙШЕЙ ГЛУПОСТЬЮ» и «идиотизмом». Говоря о разработке ядра Linux, Торвальдс заявил: «Мы не собираемся вводить глупые правила вроде "нельзя использовать инструменты для определённых задач"». https://lkml.iu.edu/2610.1/13255.html @linuxos_tg

❤35😁7🔥4🍌2

15 Oct 2026, 09:01 UTC≈4,870 views24 reactionsread 17 October 2026
Video

В UCLA научили робота ходить с помощью старого смартфона Исследователи разработали PhoneBot - двуногого робота, у которого роль мозга и глаз выполняет обычный Android. Робот ростом 48 см умеет ходить, следовать за человеком и самостоятельно подниматься после падений. Для работы подходят даже смартфоны 2017 года. ✅ подписаться

👍18😁5❤1

15 Oct 2026, 08:00 UTC≈4,640 views12 reactionsread 17 October 2026
Photo

💬👨‍💻🐍💩🤖🤖🐧👩‍💻🧑‍💻👋🦀 Дождались! Ребята сделали крутейший канал про IT новой эпохи Нейросети, ИИ-агенты, вайбкодинг, вайбхакинг и новые инструменты уже меняют привычный мир технологий. Там разбирают эти изменения и другие интересные IT-темы на простых картинках и понятном языке, а еще делятся полезными ресурсами и свежими новостями Подписывайтесь: @IT_Portal

❤6👍3🗿2🤷‍♂1

15 Oct 2026, 07:07 UTC≈4,760 views11 reactionsread 17 October 2026
Video

Подборка видео об AI-агентах от Google 00:00 — Создание AI-агента на Google ADK 08:25 — Память агента: сессии, состояние и предпочтения 28:30 — Длительные задачи: пауза и продолжение работы 40:30 — Подключение MCP-сервера и инструментов 47:50 — MCP и API: в чём разница Больше часа объяснений и практики с примерами. Подробно разбираются, как передавать данные между агентами, сохранять сессии после перезапуска и стро…

❤8👍2🤷‍♂1

14 Oct 2026, 16:07 UTC≈5,000 views9 reactionsread 17 October 2026
Photo

Практические уроки для Backend, Data Engineering и DevOps Площадка с пошаговыми туториалами и облачными окружениями. Изучаем теорию и сразу выполняем команды без настройки локальной среды. В каталоге PostgreSQL, Redis, Docker, Kubernetes, Airflow, Spark и ClickHouse. https://prepare.sh/ ✅ подписаться

❤9

14 Oct 2026, 06:07 UTC≈5,810 views32 reactions1 Starread 17 October 2026
Photo

ИИ-вирус, который живёт в телевизорах и умных устройствах. Anthropic изучила такой сценарий Представьте ИИ, который самостоятельно перебирается с одной Android-приставки на другую, запускает локальную модель и продолжает распространяться без центрального сервера. Исследователи показали, что даже недорогое оборудование может использоваться для запуска моделей. А в отдельном эксперименте GLM-5.2 удалось пройти цепочк…

😱18🔥6🤣6🌭2

13 Oct 2026, 16:07 UTC≈6,120 views31 reactionsread 17 October 2026
Photo

Claude Code от нуля до продвинутого Практическое руководство по Claude Code с тремя уровнями сложности: от установки до skills, hooks, субагентов, MCP и многоагентных сценариев. Все готовые конфигурации и примеры, можно адаптировать под свои проект. ✅ подписаться

❤20😁7🤣3🤷‍♂1

Showing the 12 most recent of 184 posts we hold for @proger3. 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.

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 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.

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.

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 16 October 2026 — this entry's latest reading, not the date you are reading this.

“Прогер” (@proger3), 87,219 subscribers as measured 16 October 2026. Telegram Register, tgregister.com/channel/proger3.

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.