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Channel

Библиотека мобильного разработчика | Android, iOS, Swift, Retrofit, Moshi, Chuck

@mobileproglib

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

9,217subscribers

+9 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-1001194965543
TypeChannel
Username@mobileproglib
Created23 July 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/mobileproglib

Growth

9,2089,2179,212.56 August 2026 — 9,208 subscribers6 August 2026 — 9,210 subscribers10 August 2026 — 9,208 subscribers12 August 2026 — 9,217 subscribers6 August 202612 August 2026
4 measurements spanning 7 days, net +9. 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 9,207–9,218 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 23:389,217+9
10 Aug 2026, 05:509,208-2
6 Aug 2026, 21:129,210+2
6 Aug 2026, 05:529,208first reading

Engagement

20 posts held, back to 20 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 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.74%
avg views ÷ 9,217 subscribers
Avg views / post
621
20 posts measured
Reaction rate
0.42%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 7 of 20 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 8 August 2026
Posts held20 (20 July 20268 August 2026)
Views total12,426
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 15:26 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

18 reactions across 7 posts, in 6 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁738.9%
🔥527.8%
211.1%
🎉211.1%
👍15.56%
👏15.56%

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 7 of the 20 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 20 July 2026 to 8 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

8 Aug 2026, 10:31 UTC507 views1 reactionsread 12 August 2026
Photo

⚙️ Kinetics — настраиваемые примитивы физического движения для SwiftUI Kinetics привносит естественное ощущение реальной физики в ваши анимации SwiftUI. Разработанный на основе Swift 6 с строгим соблюдением принципов многопоточности, он предоставляет современную и безопасную основу для создания анимаций, которая реагируют на действия пользователя, учитывают границы и выглядят реалистично. 💻 Kinetics на GitHub 🐸 Б

🔥1

8 Aug 2026, 09:40 UTC373 views2 reactionsread 12 August 2026
Forwarded from @proglib_academyPhoto

🤔 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

2

8 Aug 2026, 09:40 UTC479 viewsread 12 August 2026

Кажется, у онлайн-обучения появился формат, которого давно не хватало 👇

30 Jul 2026, 16:01 UTC808 views1 reactionsread 12 August 2026
Photo

⚙️ LNPopupController — всплывающие окна поверх других контроллеров представлений LNPopupController — это фреймворк для отображения контроллеров представлений в виде всплывающих окон для других контроллеров представлений, аналогично мини-плеерам Apple Music и Podcasts. Фреймворк спроектирован как универсальное решение, подходящее для большинства сценариев, поэтому он реализован в виде категории для UIViewController.

👍1

30 Jul 2026, 13:10 UTC619 viewsread 12 August 2026
Forwarded from @proglib_academyPhoto

😎 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

30 Jul 2026, 13:10 UTC591 viewsread 12 August 2026

От AI-сомелье до собственного деплоя с разбором логов — хороший пример того, как пет-проект может вырасти в полезный инструмент 😑

30 Jul 2026, 08:38 UTC620 views5 reactionsread 12 August 2026

✏️ git rebase -i – мощный инструмент для «переписывания» истории коммитов 🔍 Что делает ключ -i (interactive)? Позволяет интерактивно редактировать цепочку коммитов перед их применением. Это как «машина времени» для вашего кода. 💡 Основные возможности: git rebase -i HEAD~5 # Редактируем последние 5 коммитов Откроется редактор с меню, где можно: • pick – оставить коммит как есть • reword – изменить сообщение ко

🔥4👏1

29 Jul 2026, 13:17 UTC477 viewsread 12 August 2026
Forwarded from @proglib_academyPhoto

😱 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

29 Jul 2026, 13:17 UTC597 views1 reactionsread 12 August 2026

Куда на самом деле уходят токены во время агентного кодинга? ⚡️

🎉1

28 Jul 2026, 18:03 UTC715 views1 reactionsread 12 August 2026

🕯 Kotlin исполняется 15 лет Kotlin — кроссплатформенный, статически типизированный, объектно-ориентированный язык программирования, работающий поверх Java Virtual Machine и разрабатываемый компанией JetBrains. Язык разрабатывался с 2010 года под руководством Андрея Бреслава и он был представлен общественности в июле 2011. Авторы ставили целью создать язык более лаконичный и типобезопасный, чем Java, и более простой

🎉1

27 Jul 2026, 18:03 UTC695 viewsread 12 August 2026
Photo

🗓 Новости недели Приготовили для вас дайджест по актуальному из мира iOS, Android и кроссплатформы. 🔵 Как Apple в iOS 27 удалось сократить время запуска на 30% Каждые несколько лет Apple выводит системных инженеров из спячки, чтобы они немного улучшили динамический компоновщик, планирование процессора или предварительную загрузку данных. 🔵 Интеллектуальные приложения для Android: введение в Jetpacker В этой сери

25 Jul 2026, 16:10 UTC657 viewsread 12 August 2026
Forwarded from @proglib_academyPhoto

😳 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

Showing the 12 most recent of 20 posts we hold for @mobileproglib. 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 — 361,359 of 1,160,990entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 7 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.

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

“Библиотека мобильного разработчика | Android, iOS, Swift, Retrofit, Moshi, Chuck” (@mobileproglib), 9,217 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/mobileproglib.

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.