Telegram RegisterThe public register of Telegram

Channel

Мобильное Чтиво

@mobilefiction

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

1,705subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001970926182
TypeChannel
Username@mobilefiction
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/mobilefiction

Growth

1,7031,7051,7046 August 2026 — 1,704 subscribers7 August 2026 — 1,704 subscribers10 August 2026 — 1,703 subscribers12 August 2026 — 1,705 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +1. 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 1,703–1,705 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:041,705+2
10 Aug 2026, 00:551,703-1
7 Aug 2026, 07:061,704no change
6 Aug 2026, 20:331,704first reading

Engagement

16 posts held, back to 11 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
50.5%
avg views ÷ 1,705 subscribers
Avg views / post
862
4 posts measured
Reaction rate
2.26%
reactions ÷ views · ER floor
Posts in window
4
of 16 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 held16 (11 May 20267 August 2026)
Views total3,447
Reactions total78
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:42 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
1m 09s
Average length
17s

Measured directly from 4 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

385 reactions across 16 posts, in 21 distinct kinds. The most used accounts for 42.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥16342.3%
👍9725.2%
4712.2%
😁225.71%
👎153.90%
🤡82.08%
🥴61.56%
🥱51.30%
41.04%
🆒30.779%
👏30.779%
🤬20.519%
🦄20.519%
🐳10.26%
💘10.26%
💩10.26%
🖕10.26%
😍10.26%
🤔10.26%
🤮10.26%
1 further kind10.26%

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 16 of the 16 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 385reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 11 May 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mobilefiction. 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 16 most recent posts we hold for this entry, published 11 May 2026 to 7 August 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

7 Aug 2026, 16:29 UTC220 views22 reactionsread 7 August 2026
Video

Красивейшие карточки на CMP 🃏 Эта красота лежит вот тут SwipingCards ⭐️ Буду рад вашим звездочкам Несколько месяцев назад я игрался, чтобы сделать прикольный контрол карточек на Андроид. И вот недавно решил его добить до Compose Multiplatform. И получилось очень красиво, как по мне! На iOS выглядит также и по всем анимациям и всему прочему тоже также. • колода перемещается "против" ваших движений • после перехода

🔥19👍21

Signed Maxim Kachinkin

29 Jul 2026, 14:29 UTC697 views13 reactionsread 7 August 2026
Video

Увидимся на Мобиусе! 🙃 На этот раз будет парная сессия с iOS разработчиком Ромой Могутновым, где мы расскажем как мы делали Upside Down на Андроид и на iOS. #android #ios #strangerthings #mobius

🔥9👍1👎1🤬1😍1

Signed Maxim Kachinkin

24 Jul 2026, 13:14 UTC≈1,170 views18 reactionsread 7 August 2026
Photo

🟢 Call for Papers на Android Podlodka Crew #16 Друзья, следующая Android Podlodka Crew будет 21-25 сентября! Тема сезона: «Android × AI: новый workflow разработки» Я уверен, что многие из вас делают и пробуют крутые штуки на стыке Android и AI. Нас интересуют в особенности темы: 1. Новый workflow Android-разработчика с AI-агентами 2. Харнес для AI-агента, который сам пишет приложение 3. Guardrails для AI в Android-

🔥9👎4👍3🤔1🤬1

Signed Maxim Kachinkin

15 Jul 2026, 18:15 UTC≈1,360 views25 reactionsread 7 August 2026
Photo

👩‍💻 Офис будущего выглядит так! Я чаще работаю из дома, но иногда хожу в каворкинг или, когда приезжаю в города, где есть наши офисы наши, то хожу в офисы. Я люблю работать в офисе но если честно, теперь мне сложно, потому что мне нужно всегда говорить! Да я теперь общаюсь с агентами только голосом. Я стараюсь почти не писать. Ну и сложно сидеть в офисе и вслух довольно громко говорить просто постоянно с Клодом ил

😁19👍32🔥1

Signed Maxim Kachinkin

10 Jul 2026, 17:32 UTC≈1,290 views17 reactionsread 7 August 2026
Photo

Выбираем тему нового сезона Podlodka Android Crew! Кому лень читать — переходите и выбирайте тему тут! Сначала была мысль пойти (опять!) против течения и сделать сезон НЕ про AI. Типа все вокруг уже говорят про AI, конференции, посты, агенты, промпты, вайб-кодинг, вот это все. Может, нам надо быть выше этого? Но чем больше мы обсуждали, тем очевиднее становилось: у нас у всех уже изменилась работа. Android-разр

🔥10👎5👍1🖕1

Signed Maxim Kachinkin

6 Jul 2026, 16:08 UTC≈1,250 views17 reactionsread 7 August 2026
Photo

Написал TBD-плагин для AI-агентов 🤖 Я в основном работаю в Claude Code и OpenCode. И постоянно сталкиваюсь с одной и той же штукой: даешь агенту большую задачу, а он легко может уйти в огромный PR на несколько тысяч строк. Для меня это плохо, потому что я люблю работать по Trunk-Based Development. То есть стараюсь резать работу на маленькие PR’ы, которые: • можно нормально отревьюить • можно быстро смержить • не л

👍9🔥7🆒1

Signed Maxim Kachinkin

24 Jun 2026, 12:30 UTC≈1,190 views21 reactionsread 7 August 2026
Photo

🚧 Не дай AI свернуть не туда! Когда много работаешь с AI-агентами, быстро появляется красивая мечта типо: «А давайте агент сам напишет приложение, а мы просто посмотрим результат» 😅 Звучит классно. Но есть проблема. У нас, людей, очень много контекста живет где-то в голове: • как правильно организовать модули • какие зависимости можно, а какие нельзя • где должен лежать код • какие архитектурные правила у проекта

👍9🔥541💘1😁1

Signed Maxim Kachinkin

23 Jun 2026, 16:23 UTC≈1,010 views32 reactionsread 7 August 2026
Photo

🤖 AI на собеседованиях: как теперь правильно? Кажется, все уже поняли, что AI с нами навсегда. Ну или почти все 😅 (иногда встречаю людей, которые всё ещё делают вид, что ничего не поменялось, но да ладно) Что лично я вижу: единого консенсуса, как теперь проводить интервью по-новому пока нет. Недавно я проходил собеседование, где задача была написать приложение. Но не “запрещаем AI”, а наоборот: "пиши с AI!" Ну т

👍14🤡8🔥6🥴3👎1

Signed Maxim Kachinkin

29 May 2026, 14:27 UTC≈1,560 views17 reactions1 Starread 7 August 2026
Photo

Давайте добавим AI ради AI! Это НЕ про нашу фичу Drinkit Lab 😅 Я понимаю, что со стороны это может так выглядеть. Сейчас AI добавляют вообще везде, и иногда правда непонятно зачем. Но поверьте человеку, который пришел с этой идеей на внутренний хакатон: изначально мысль была вообще не про хайп. Мысль была такая: мне лень тыкать во все эти кнопки и свайпать слайдеры. Ведь в Drinkit можно очень гибко кастомизироват

🔥75👍4🥱1

Signed Maxim Kachinkin

25 May 2026, 18:24 UTC≈1,460 views20 reactionsread 7 August 2026
Photo

🇰🇿 Увидимся в Алматы на Android Meetup 28 мая буду выступать на Bereke Android Meetup в Алматы. Расскажу про наш опыт постепенного перехода на Kotlin Multiplatform в Drinkit. О чем буду рассказывать: • как заходить в KMP постепенно • что у нас сработало, а что не очень • как смотреть на это с архитектурной точки зрения • что по размеру бинарников • и как быть с командными вопросами 😅 Кроме меня будут ещё классные

🔥125👍3

Signed Maxim Kachinkin

22 May 2026, 05:22 UTC≈1,710 views41 reactionsread 7 August 2026
Video

🐳 Запускаем Дринкит Лаб Сегодня запускаем фичу, про которую я рассказывал на докладах "Готовим кофе с помощью AI". Фича называется Дринкит Лаб! ⭐️ Сегодня планируется помпезный запуск фичи, я про него расскажу позже. А пока покажу короткий рилсик! #drinkit #ai #agent

🔥27👍5🥴3👏2😁2🐳1🥰1

Signed Maxim Kachinkin

18 May 2026, 17:56 UTC≈1,990 views18 reactionsread 7 August 2026
Photo

💃 Наконец-то нормальный changelog для Jetpack Compose Если у вас тоже, как у меня, были проблемы чтобы понять, а что нового изменилось в Jetpack Compose BOM, и надо было ходить по страницам типо такой и собирать изменения, то вам понравится, этот пост 😅 Вася Малеев сделал сайт, где это легко увидеть в одном месте! Мне очень нравится! Можно накидать звездочек на github, чтобы Google заметил и сделал сам нормальное

👍152🔥1

Signed Maxim Kachinkin

Showing the 12 most recent of 16 posts we hold for @mobilefiction. 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.

Citation-graph rank

Citation-graph rank — 544,394 of 1,169,250entries 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.

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 3 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.

“Мобильное Чтиво” (@mobilefiction), 1,705 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/mobilefiction.

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.