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Telegram profile photo for iOS Good Reads – swift, разработка мобильных приложений, архитектура, блокчейн, VR, AR, карьера, IT

Channel

iOS Good Reads – swift, разработка мобильных приложений, архитектура, блокчейн, VR, AR, карьера, IT

@iosgr

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

11,988subscribers

-125 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001076035790
TypeChannel
Username@iosgr
DescriptionСамые интересные статьи, видео и новости, связанные с iOS разработкой. Не больше трёх материалов в день. Регистрация в РКН: https://gosuslugi.ru/snet/67b464d698a28c4e866d827a Размещение рекламы: @tanyasanovna
Created25 August 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/iosgr

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 11 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 the other topics.

Growth

11,98812,11312,050.56 August 2026 — 12,113 subscribers6 August 2026 — 12,113 subscribers7 August 2026 — 12,112 subscribers9 August 2026 — 12,111 subscribers10 August 2026 — 12,108 subscribers11 August 2026 — 12,104 subscribers13 August 2026 — 12,108 subscribers14 August 2026 — 12,102 subscribers16 August 2026 — 12,096 subscribers18 August 2026 — 12,094 subscribers19 August 2026 — 12,095 subscribers20 August 2026 — 12,092 subscribers23 August 2026 — 12,090 subscribers24 August 2026 — 12,080 subscribers25 August 2026 — 12,072 subscribers27 August 2026 — 12,076 subscribers28 August 2026 — 12,077 subscribers29 August 2026 — 12,083 subscribers30 August 2026 — 12,090 subscribers1 September 2026 — 12,080 subscribers3 September 2026 — 12,077 subscribers4 September 2026 — 12,073 subscribers8 September 2026 — 12,075 subscribers11 September 2026 — 12,061 subscribers13 September 2026 — 12,053 subscribers14 September 2026 — 12,051 subscribers16 September 2026 — 12,061 subscribers19 September 2026 — 12,064 subscribers25 September 2026 — 12,060 subscribers4 October 2026 — 12,036 subscribers8 October 2026 — 12,034 subscribers13 October 2026 — 12,041 subscribers14 October 2026 — 12,040 subscribers15 October 2026 — 12,038 subscribers16 October 2026 — 12,041 subscribers18 October 2026 — 12,044 subscribers19 October 2026 — 12,049 subscribers20 October 2026 — 12,048 subscribers22 October 2026 — 12,041 subscribers23 October 2026 — 12,037 subscribers24 October 2026 — 12,026 subscribers25 October 2026 — 12,028 subscribers26 October 2026 — 12,023 subscribers27 October 2026 — 12,022 subscribers28 October 2026 — 12,021 subscribers29 October 2026 — 12,017 subscribers30 October 2026 — 12,010 subscribers31 October 2026 — 12,008 subscribers1 November 2026 — 12,006 subscribers2 November 2026 — 12,003 subscribers3 November 2026 — 12,002 subscribers4 November 2026 — 12,004 subscribers5 November 2026 — 12,001 subscribers6 November 2026 — 12,000 subscribers8 November 2026 — 11,991 subscribers10 November 2026 — 11,988 subscribers6 August 202610 November 2026
56 measurements spanning 96 days, net -125. 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 11,969–12,132 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
10 Nov 2026, 04:2011,988-3
8 Nov 2026, 18:4111,991-9
6 Nov 2026, 10:0412,000-1
5 Nov 2026, 13:2912,001-3
4 Nov 2026, 13:2512,004+2
3 Nov 2026, 14:4612,002-1
2 Nov 2026, 14:0612,003-3
1 Nov 2026, 17:3712,006-2
31 Oct 2026, 14:0612,008-2
30 Oct 2026, 11:4812,010-7
29 Oct 2026, 10:5712,017-4
28 Oct 2026, 06:4812,021-1
27 Oct 2026, 09:0612,022-1
26 Oct 2026, 12:1712,023-5
25 Oct 2026, 09:5512,028+2
24 Oct 2026, 07:2012,026-11
23 Oct 2026, 04:2712,037-4
22 Oct 2026, 01:3712,041-7
20 Oct 2026, 17:0612,048-1
19 Oct 2026, 14:3612,049first reading

Engagement

65 posts held, back to 8 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 65 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
37.5%
avg views ÷ 11,988 subscribers
Avg views / post
4,500
21 posts measured
Reaction rate
0.479%
reactions ÷ views · ER floor
Posts in window
21
of 65 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 11 November 2026
Posts held65 (8 July 2026 – 11 November 2026)
Views total94,450
Reactions total452
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 21:02 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
≈767
Videos
≈72
Links
≈4,320

Lifetime counters from Telegram’s own channel header, read 11 November 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
5s
Average length
5s

Measured directly from 1 video 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

1,573 reactions across 63 posts, in 5 distinct kinds. The most used accounts for 33.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤52233.2%
👍39124.9%
💅32120.4%
👎17911.4%
🔥16010.2%

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 65 of the 65 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 1,598 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 65 most recent posts we hold, published 8 July 2026 to 11 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
15
across the posts below
Posts paid on
13
of 65 we hold a reading for · 20%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @iosgr. 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 65 most recent posts we hold for this entry, published 8 July 2026 to 11 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
3.08%
2 of 65 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
4,690
over 2 measured posts
Median views · rest
4,610
over 63 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqvmnBjG113 July 202613 July 2026
2VtzqwL59hd118 August 202618 August 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 65 most recent posts we hold, published 8 July 2026 to 11 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: 0 of 21 posts held from the last 30 days (0%) 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).

11 Nov 2026, 06:04 UTC≈2,320 views35 reactionsread 11 November 2026
Photo

Reflex – новая архитектура от Shopify Еще одна компания, громко переехавшая с React Native – Shopify. Свои мобильные приложения на натив они переписали с нуля, поэтому решили и переизобрести архитектуру под агентскую разработку. В чем суть: 👉Логика приложения пишется так, чтобы могла запускаться headless, и агенты работали бы с ней через CLI. Никакого UI, никаких импортов платформенных библиотек. 👉Наружу торчат Vi…

🔥24👎7❤2👍2

Signed Egor Tolstoy

10 Nov 2026, 06:02 UTC≈3,180 views39 reactionsread 11 November 2026
Video

Discord дропнул React Native и Electron в пользу Rust React Native бросил еще один проект из топ-10, про которые всегда вспоминали, когда приводили примеры больших и важных приложений на этом фреймворке. Все переписали на Rust, как результат – существенно меньше потребление памяти и в разы более быстрый старт.

❤31👍6👎2

Signed Egor Tolstoy

9 Nov 2026, 06:01 UTC≈3,430 views39 reactionsread 11 November 2026

Автор Skip бросает Swift в пользу Rust Напоминаю, что Skip – это тулчейн, позволяющий запускать Swift приложения под Android. Именно с этого проекта стартанула рабочая группа Swift for Android, и именно благодаря его автору у кучи пакетов появился Android таргет. Так вот, Марк, его автор, вышел из этой рабочей группы, и написал длинный пост, суть которого в следующем – Swift никогда не выйдет за пределы узкоспециал…

💅27❤7👍3👎2

Signed Egor Tolstoy

5 Nov 2026, 06:10 UTC≈4,860 views41 reactionsread 11 November 2026

Apple забирают на поддержку MCP SDK Swift SDK для разработки MCP серверов изначально был разработан Anthropic. Теперь Apple согласились забрать его себе на поддержку, и довести его до Tier 1 уровня.

💅24🔥10❤3👍2👎2

Signed Egor Tolstoy

4 Nov 2026, 06:03 UTC≈4,580 views18 reactionsread 11 November 2026

Новые библиотеки от HuggingFace Mattt продолжает выпускать полезные адаптеры над AI моделями. В этот раз на очереди еще два: 👉AnySpeechRecognizer, который дает использовать новый Apple API для STT поверх любых сторонних моделей 👉AnyDecisionModel дает гонять любые Jev-like модели Оба пакеты интегрированы с HuggingFace и позволяют легко скачать любую локальную модель и запустить на девайсе.

👍13❤5

Signed Egor Tolstoy

3 Nov 2026, 06:05 UTC≈4,200 views5 reactionsread 11 November 2026

Инсайты про пункт 3.2f гайдлайнов App Store Наткнулся случайно на рассылку бывшего руководителя App Store Review команды, который рассказывает довольно интересные вещи про то, как она работает изнутри. Вот, например, разбор недавних изменений в правилах ревью вокруг приложений, генерирующих нюдсы, которые могут выйти боком очень многим.

❤5

Signed Egor Tolstoy

2 Nov 2026, 06:04 UTC≈4,170 views1 reactionsread 11 November 2026
Photo

Как Pocket Casts адаптировали под Duo Еще один очень подробный кейс адаптации приложения под iPhone Duo – разбираются и принципы принятия дизайновых решений, и способы погоняния агентов, и тестирование получившихся сборок.

👍1

Signed Egor Tolstoy

30 Oct 2026, 07:02 UTC≈4,850 views18 reactionsread 11 November 2026

Мобильный RemDev для агентов Shopify рассказывает, как они настроили мобильную инфру из пула Mac машин, и научили агентов пользоваться ей, в результате чего все сборки и запуски приложений ушли в облако, и писать под iOS теперь можно под любой операционкой.

👎11👍5❤1💅1

Signed Egor Tolstoy

29 Oct 2026, 07:03 UTC≈4,550 views1 reactionsread 11 November 2026

Портируем приложение с iPad на Duo Ну и раз мы заговорили про портирование приложений на Duo, вот очень полезный дневник про попытку переноса существующего iPad приложения и все вещи, которые пошли не так.

👎1

Signed Egor Tolstoy

28 Oct 2026, 07:02 UTC≈4,560 views20 reactionsread 11 November 2026

Как дизайнить приложения под Duo Как я и писал в понедельник, основная беда Duo на сегодня – малое количество адаптированных приложений. Поэтому держите статью, которая может вас вдохновить на красивые визуальные решения, если все-таки решите портировать.

👎14❤6

Signed Egor Tolstoy

27 Oct 2026, 07:04 UTC≈4,650 views50 reactionsread 11 November 2026

UIKit vs SwiftUI Последние пару недель в Твиттере в очередной раз разгорелись споры о том, а есть ли вообще смысл в SwiftUI, если его основная ценность была в человеческом DX, а сегодня весь код все равно пишут агенты. Помимо споров, люди горяют разного рода бенчмарки, на которых просят агента сделать одно и то же приложение на двух фреймворках – и SwiftUI консистентно проигрывает везде. Расскажите, а вы-то что дум…

👍46❤4

Signed Egor Tolstoy

26 Oct 2026, 07:05 UTC≈4,360 views2 reactionsread 11 November 2026

Обзор на iPhone Duo На прошлой неделе первые iPhone Duo начали попадать в руки людей, а вместе с ними полетели и отзывы. Вот эта рецензия мне показалась самой полной и интересной. TL;DR: в разложенном режиме великолепно, в сложенном – так себе, с адаптацией приложений пока беда. В итоге я пока что передумал брать себе, скорее всего буду ждать второго поколения.

❤2

Signed Egor Tolstoy

Showing the 12 most recent of 65 posts we hold for @iosgr. 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.

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

25 Aug 2026, 12:50 UTCAnonymous Poll873 voters

Как вы обычно работаете с сессиями AI агента?

  1. Новая сессия под каждую задачу (один план)63%
  2. Одна сессия на несколько связанных задач (несколько планов)19%
  3. Одна сессия на весь проект (очень много планов)4%
  4. Одна сессия на несколько проектов сразу (жесть как много планов)1%
  5. По-разному, устойчивого подхода нет13%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

4 Aug 2026, 14:00 UTCAnonymous Poll843 voters

Используете ли вы планы при работе с агентами над своими обычными задачами?

  1. Да, использую стандартный plan mode44%
  2. Да, прошу агента составить план, но не использую plan mode23%
  3. Да, генерирую спеки с помощью какого-нибудь тулкита или скиллов20%
  4. Не использую, в первом промпте подробно задаю все нужные требования или даю ссылку на таску14%
  5. Не использую, двигаюсь итеративно маленькими промптами17%
  6. Другое3%
  7. Посмотреть результаты15%

The shares total 136%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 65 most recent posts we hold, published 8 July 2026 to 11 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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.

Names

Channels on the register whose handles appear in this channel's 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.

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.

Teamlead Good Reads – ежедневные советы про менеджмент людей и команд
@leadgr · 31,685
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 10 September 2026
Telegram Contests
@contest · 296,966
Telegram ranks this channel #40 of 78 here — alongside 77 others — read 20 August 2026
Newtonlabs Pro
@newtonlabs · 22,486
Telegram ranks this channel #60 of 86 here — alongside 85 others — read 19 September 2026
Осознанная Меркантильность | Антон Назаров
@m0rtymerr_channel · 80,638
Telegram ranks this channel #67 of 87 here — alongside 86 others — read 18 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“iOS Good Reads – swift, разработка мобильных приложений, архитектура, блокчейн, VR, AR, карьера, IT” (@iosgr), 11,988 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/iosgr.

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.