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Proglib.academy | IT-курсы

@proglib_academy

On this record: Topic · Observations · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

3,926subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001727734638
TypeChannel
Username@proglib_academy
Created23 November 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/proglib_academy

Topic

Education — 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 11 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

23,900 average views per post against 3,926 subscribers — an engagement rate of 608.8%. Across the 39,583 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Russian — the middle half sit between 7.01% and 25.8%, with a median of 13.9%.

What this was computed from
Window30 days (17 July 2026 16 August 2026)
Posts measured16 of 16 published in the window (4 exact, 12 rounded by Telegram)
Views totalled382,449
Mature posts only629.1% over 15 posts read at least 24h after publication
Subscribers3,926 measured 13 August 2026
Cohortb3162:rus · 39,583 channels · p10 3.39% · p25 7.01% · p50 13.9% · p75 25.8% · p90 42.6%
Position in cohort99.980th percentile · 43.9× the cohort median
Uncertainty±0.078% of the figure, from Telegram’s rounding
Post languageRussian · 100.0%of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 16 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

3,9253,9313,9286 August 2026 — 3,926 subscribers6 August 2026 — 3,926 subscribers6 August 2026 — 3,925 subscribers9 August 2026 — 3,931 subscribers13 August 2026 — 3,926 subscribers3,9266 August 202613 August 2026
5 measurements spanning 7 days. 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 3,924–3,932 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 06:283,926-5
9 Aug 2026, 21:323,931+6
6 Aug 2026, 16:033,925-1
6 Aug 2026, 04:213,926no change
6 Aug 2026, 01:363,926first reading

Engagement

18 posts held, back to 15 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
608.8%
avg views ÷ 3,926 subscribers
Avg views / post
23,900
16 posts measured
Reaction rate
0.014%
reactions ÷ views · ER floor
Posts in window
16
of 18 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 7 August 2026
Posts held18 (15 July 20267 August 2026)
Views total382,449
Reactions total54
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:57 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.

Reaction mix

59 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 32.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1932.2%
👍1932.2%
🔥915.3%
👾35.08%
😁35.08%
😍23.39%
🤔23.39%
🎉11.69%
🥱11.69%

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 18 of the 18 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 61reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 15 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.

Recent posts

7 Aug 2026, 09:18 UTC≈12,000 views1 reactionsread 8 August 2026
Photo

🤔 У большинства разработчиков уже есть подписки на IDE, GitHub Copilot, Claude, ChatGPT или облачные сервисы. Логично, что обучение тоже постепенно приходит к той же модели: не покупать отдельный курс под каждую новую тему, а иметь доступ ко всей библиотеке и выбирать, что актуально именно сейчас. Такой формат недавно появился и в Proglib Academy. Вместо одного курса — доступ сразу ко всей библиотеке и новым матери

👍1

5 Aug 2026, 14:40 UTC198 views2 reactionsread 8 August 2026

⚡Коллеги, Т-Банк даёт кэшбек 25% за покупку курсов у нас в https://proglib.academy. Если вы думали учиться и откладывали обучение, это знак свыше 🏋️‍♂️

2

4 Aug 2026, 06:40 UTC≈20,600 views4 reactionsread 8 August 2026
Photo

👅 Самое сложное — выбрать не курс, а направление Сегодня хочется разобраться в AI-агентах. Через пару недель появляется задача, где нужны алгоритмы. Потом понимаешь, что неплохо бы освежить Python или математику для Data Science. 🔜 Именно поэтому подписка на обучение многим оказывается удобнее отдельных курсов. Можно спокойно переключаться между темами, когда меняются задачи, а не покупать новую программу каждый ра

2👍2

3 Aug 2026, 15:08 UTC210 views2 reactionsread 8 August 2026
Photo

📊 Опрос закончился, и почти половина проголосовавших честно выбрала «просто верю и надеюсь». И это не лень, тут всё понятно: читать AI-код построчно устаёшь на третьем PR, а зелёные тесты выглядят как железное «всё ок, можно жать мёрж». ✅ Зелёные тесты сами по себе ничего не гарантируют. Агент может написать тест под собственную ошибку и закрепить её как норму. Формально всё проходит, а баг остаётся — теперь просто

1🎉1

1 Aug 2026, 12:04 UTC194 views3 reactionsread 8 August 2026

Голосуйте, потом расскажем, как сделать так, чтобы четвёртый вариант перестал быть смешным, а третий — заработал по-настоящему 😧

👍21

31 Jul 2026, 09:18 UTC≈2,360 views2 reactionsread 8 August 2026
Photo

AI написал код, тесты прошли — а мержить всё равно страшно. На выходных разобрали, почему так происходит. Делимся записью 🔥 Поговорили о том, как задавать агенту правила, подключать независимого ревьюера, проверять сгенерированные тесты и почему дорогая модель сама не разберётся в архитектуре проекта. 🔜 Особенно зайдёт тем, кто уже пишет код с AI, но периодически тратит на исправления больше времени, чем сэкономил.

👍2

30 Jul 2026, 05:21 UTC≈27,400 views4 reactionsread 8 August 2026
Photo

🎯 У разработчика, DevOps-инженера и техлида разные причины задуматься о системной работе с AI-агентами Но цель одна: перейти от случайных удачных запусков к управляемому процессу на реальном проекте — с понятными правилами, ревью, контролем расходов и безопасности ✔️ На курсе «ИИ для разработчиков» участники выстраивают такой процесс на практике: подключают инструменты, задают границы для агента и учатся понимать,

2🔥2

29 Jul 2026, 09:04 UTC≈10,800 views3 reactionsread 8 August 2026
Photo

😎 Продолжаем рубрику про проекты студентов Сегодняшний герой — backend-разработчик, который начал с AI-сомелье для пива: говоришь ему настроение и что на столе — он подбирает подходящий сорт. Забавная штука для пятничного вечера 🍻🍻 Но по пути к этому сомелье он собрал кое-что посерьёзнее — свою систему деплоя с AI-ассистентом, который сам читает логи и разбирается, что сломалось. Как из пивного пет-проекта выросло

🔥2👍1

28 Jul 2026, 07:40 UTC≈33,700 views3 reactionsread 8 August 2026
Photo

😱 Знакомо? Лимит уже закончился, а задача всё ещё не готова. Часть токенов могла уйти на повторное чтение файлов, лишний контекст и неудачные попытки. ⚡️ Этому посвящён отдельный блок курса «ИИ для разработчиков». Вы разберёте расходы на собственных проектах, сравните подходы и найдёте места, где агент выполняет лишнюю работу. В итоге станет понятнее, сколько ресурсов выделять на запуск, когда его останавливать и в

👍2😁1

27 Jul 2026, 08:20 UTC≈30,400 views8 reactionsread 8 August 2026
Photo

У вас в проекте есть файл вроде utils_v2_final_FIX.py, который все боятся трогать ❓ Что делаете с таким легаси? ❤️ Не трогаю: работает — и ладно 👍 Переписываю с нуля и надеюсь на лучшее 🔥 Сначала покрываю тестами, потом рефакторю по частям 👾 У нас такого нет — честно-честно На курсе «ИИ для разработчиков» разберём третий подход: как с помощью агента зафиксировать текущее поведение легаси-кода тестами, а затем меня

👾3🔥31👍1

25 Jul 2026, 06:01 UTC≈35,700 views2 reactionsread 8 August 2026
Photo

😳 Documentation Driven Development звучит как ещё один модный термин. Пока не попробуешь объяснить свой проект AI. Агент работает только с тем контекстом, который ему дали. Если документация неполная или устарела, он начинает додумывать — отсюда появляется неверный код. 🔘 На курсе «ИИ для разработчиков» эту тему разбирает Арсений Харланов. Он покажет, как подготовить документацию и контекст, чтобы агент понимал арх

2

Showing the 12 most recent of 18 posts we hold for @proglib_academy. 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.

Citation-graph rank

Citation-graph rank — 1,835 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

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

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@cpp_interview_lib · 4,604
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7 posts
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@php_problems_lib · 2,330
7 posts
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@py_interview_lib · 5,947
7 posts
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@py_problems_lib · 6,450
7 posts
Азбука айтишника
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6 posts
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@csharp_interview_lib · 5,636
6 posts
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@devops_problems_lib · 3,010
6 posts
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@hackproglib · 12,748
6 posts
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@java_problems_lib · 5,683
6 posts
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6 posts
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@proglib_jobs · 9,510
6 posts
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@cpp_problems_lib · 5,458
5 posts
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@csharpdevjob · 10,036
5 posts
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@datajob · 14,487
5 posts
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@go_interview_lib · 7,491
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5 posts
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@java_interview_lib · 6,471
5 posts
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@mobiledevjob · 5,122
5 posts
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5 posts
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@phpdevjob · 6,104
5 posts
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@cppdevjob · 6,749
4 posts
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4 posts
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@csharpproglib · 21,720
4 posts
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@devopsslib · 10,404
4 posts
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@ds_problems_lib · 3,997
4 posts
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4 posts
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@godevjob · 11,008
4 posts
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@hackdevjob · 3,093
4 posts
hahacker_news
@hahacker_news · 25,783
4 posts
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@javadevjob · 13,731
4 posts
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4 posts
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@jsdevjob · 9,367
4 posts
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@phpproglib · 10,550
4 posts
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@proglibrary · 78,447
4 posts
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@pydevjob · 9,560
4 posts
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4 posts
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4 posts
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4 posts
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@devopssjob · 4,336
3 posts
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3 posts
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3 posts
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@frontendproglib · 21,080
2 posts
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@sitesbydtron · 1
1 post

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 50 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.

Named by

Channels on the register whose posts name this channel's handle.

hahacker_news
@hahacker_news · 25,783
64 posts
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26 posts
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@itmemlib · 9,673
22 posts
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@csharp_problems_lib · 4,977
21 posts
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@mobileproglib · 9,217
20 posts
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@cppproglib · 16,885
18 posts
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17 posts
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@godevjob · 11,008
17 posts
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@cpp_interview_lib · 4,604
16 posts
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@go_interview_lib · 7,491
16 posts
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@hackproglib · 12,748
16 posts
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@javadevjob · 13,731
16 posts
IT Job Hub | Работа и вакансии в IT
@proglib_jobs · 9,510
16 posts
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@java_problems_lib · 5,683
15 posts
Библиотека собеса по Python | вопросы с собеседований
@py_interview_lib · 5,947
15 posts
Библиотека задач по C++ | тесты, код, задания
@cpp_problems_lib · 5,458
14 posts
Библиотека собеса по C# | вопросы с собеседований
@csharp_interview_lib · 5,636
14 posts
Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
@dsproglib · 18,391
14 posts
Библиотека пхпшника | PHP, Laravel, Symfony, CodeIgniter
@phpproglib · 10,550
14 posts
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 14,487
13 posts
Javascript jobs — вакансии по фронтенду, джаваскрипт, React, Angular, Vue
@jsdevjob · 9,367
13 posts
Библиотека девопса | DevOps, SRE, Sysadmin
@devopsslib · 10,404
12 posts
Книги для программистов
@progbook · 140,147
12 posts
Python jobs — вакансии по питону, Django, Flask
@pydevjob · 9,560
12 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Proglib.academy | IT-курсы” (@proglib_academy), 3,926 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/proglib_academy.

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.