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Channel

Mobile Development by AppTractor

@apptractor

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

11,014subscribers

-8 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001040370540
TypeChannel
Username@apptractor
Created27 March 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live26 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/apptractor

Topic

Technology — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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

10,96711,02210,994.55 August 2026 — 11,022 subscribers6 August 2026 — 11,022 subscribers6 August 2026 — 11,021 subscribers7 August 2026 — 11,018 subscribers8 August 2026 — 11,014 subscribers9 August 2026 — 11,013 subscribers10 August 2026 — 11,003 subscribers11 August 2026 — 10,999 subscribers12 August 2026 — 10,994 subscribers13 August 2026 — 10,990 subscribers15 August 2026 — 10,988 subscribers16 August 2026 — 10,989 subscribers17 August 2026 — 10,988 subscribers18 August 2026 — 10,990 subscribers20 August 2026 — 10,989 subscribers22 August 2026 — 10,986 subscribers23 August 2026 — 10,987 subscribers25 August 2026 — 10,983 subscribers26 August 2026 — 10,982 subscribers26 August 2026 — 10,979 subscribers28 August 2026 — 10,980 subscribers29 August 2026 — 10,975 subscribers30 August 2026 — 10,971 subscribers31 August 2026 — 10,970 subscribers1 September 2026 — 10,967 subscribers2 September 2026 — 10,969 subscribers3 September 2026 — 10,974 subscribers6 September 2026 — 10,976 subscribers9 September 2026 — 10,990 subscribers11 September 2026 — 10,999 subscribers15 September 2026 — 11,003 subscribers17 September 2026 — 11,002 subscribers19 September 2026 — 10,999 subscribers26 September 2026 — 11,014 subscribers11,0145 August 202626 September 2026
34 measurements spanning 51 days, net -8. 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 10,959–11,030 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
26 Sept 2026, 07:4011,014+15
19 Sept 2026, 09:5810,999-3
17 Sept 2026, 00:4111,002-1
15 Sept 2026, 04:0111,003+4
11 Sept 2026, 19:2110,999+9
9 Sept 2026, 10:1810,990+14
6 Sept 2026, 01:5710,976+2
3 Sept 2026, 19:1610,974+5
2 Sept 2026, 09:1710,969+2
1 Sept 2026, 10:0310,967-3
31 Aug 2026, 08:3310,970-1
30 Aug 2026, 05:1310,971-4
29 Aug 2026, 02:0310,975-5
28 Aug 2026, 00:1710,980+1
26 Aug 2026, 22:1810,979-3
26 Aug 2026, 00:4210,982-1
25 Aug 2026, 04:0310,983-4
23 Aug 2026, 22:1510,987+1
22 Aug 2026, 04:2710,986-3
20 Aug 2026, 00:1210,989first reading

Engagement

55 posts held, back to 23 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 41 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.0%
avg views ÷ 11,014 subscribers
Avg views / post
1,320
3 posts measured
Reaction rate
0.176%
reactions ÷ views · ER floor
Posts in window
3
of 55 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 1 September 2026
Posts held55 (23 July 2026 – 1 September 2026)
Views total3,970
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 02:27 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
51s
Average length
51s

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

253 reactions across 52 posts, in 17 distinct kinds. The most used accounts for 33.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8533.6%
❤7931.2%
✍239.09%
🤡239.09%
🌭72.77%
🔥62.37%
🦄62.37%
🎉51.98%
🌚41.58%
😐41.58%
😁31.19%
⚡20.791%
👨‍💻20.791%
😱10.395%
🤔10.395%
🤩10.395%
🥱10.395%

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 53 of the 55 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 253 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 55 most recent posts we hold, published 23 July 2026 to 1 September 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 55 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @apptractor. 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 55 most recent posts we hold for this entry, published 23 July 2026 to 1 September 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

1 Sept 2026, 17:38 UTC≈1,090 views3 reactionsread 3 September 2026

​Главное оказаться в нужном месте в нужное время. MapQuest оказался в центре внимания после того, как отказался заменить надпись «Озеро Онтарио» на «Озеро Америка» на своей карте в соответствии с указом президента США Дональда Трампа, изданным на прошлой неделе. По состоянию на утро понедельника, приложение MapQuest занимает первое место среди бесплатных приложений для iPhone в чарте App Store в Канаде и четвертое ме…

👍3

31 Aug 2026, 17:28 UTC≈1,380 views3 reactionsread 3 September 2026
Photo

С мест докладывают, что необычно ранний анонс новых моделей Mac mini и Mac Studio, который Apple сделала на прошлой неделе, был связан с неожиданно высоким спросом со стороны корпоративных клиентов на оборудование для ИИ. Смещение Mac mini и Mac Studio в сторону корпоративного сегмента стало заметно ещё в июне, когда Apple провела мероприятие Business at the Park с участием руководителей Ford, Disney и Anthropic. По …

👍3

31 Aug 2026, 06:18 UTC≈1,500 views1 reactionsread 3 September 2026
Photo

Возбуждающая персонализация В этом еженедельном дайджесте надежное выполнение фоновых задач в iOS и детекция лица в реалтайме для биометрии в Android, забавные анимации с меш-градиентами в Jetpack Compose и кастомизация пейволов с Apple Foundation Models, Kotlin Coroutines Channels и Actor‑модель, фоновые задачи в KMP с API как у WorkManager, разработка на Авроре под Аврору, двуногий робот в форме утёнка от Hugging …

👍1

28 Aug 2026, 08:03 UTC≈1,800 views2 reactionsread 3 September 2026
Forwarded from @applibPhoto

📺 Видео и подкасты за неделю • (iOS En) AI-Assisted TDD in Practice (Swift + AI) • (iOS En) Vibe Coding a macOS App in Xcode 27 • (iOS En) Apple Music Reactions Emoji Picker • (And Ru) AI-агент Android-разработчика: как вынести его на сервер и выполнять задачи 24/7 • (And En) Beginner's Guide to Continuous Integration (CI) for Android with GitHub Actions • (And En) Is TDD the next big thing for agentic development o…

❤2

28 Aug 2026, 07:13 UTC≈1,840 views7 reactionsread 3 September 2026
Video

Hugging Face представил Microduck — небольшого двуногого робота в форме утёнка Главная идея проекта — совместить готовую забавную роботизированную игрушку и открытую экспериментальную платформу. Для обычного пользователя это маленький интерактивный робот, а для разработчика — относительно недорогой способ экспериментировать с управлением, компьютерным зрением, симуляциями и reinforcement learning. Робот высотой око…

🦄6❤1

27 Aug 2026, 18:04 UTC≈1,810 views4 reactionsread 3 September 2026

В RevenueCat написали, как можно персонализировать пейвол с помощью Foundation Models от Apple. Собственно, процесс простой - заводите кастомную переменную - пихаете в нее строку, полученную от ИИ по результатам опроса в самом пейволе. Идея в данном подходе, конечно, так себе, но нетрудно представить как можно обогатить пейвол сторонними данными и отталкиваться уже не от того, что вводит пользователь на предыдущих ша…

❤3👍1

26 Aug 2026, 17:32 UTC≈1,920 views4 reactionsread 3 September 2026
Photo

С мест докладывают, что продажи в App Store упали впервые как минимум за 10 лет (полагаю, что вообще впервые). Версий может быть несколько. Основная - перенос платежей за пределы App Store. На самом деле сейчас вообще первый период в истории, когда разработчики в США получили возможности направлять пользователей на внешнюю оплату. Это хорошо согласуется с внешними данными: по оценке Appfigures, комиссия Apple от амер…

❤4

25 Aug 2026, 16:45 UTC≈1,860 views6 reactionsread 3 September 2026
Photo

Apple представила два новых процессора: M6 для нового Mac mini и M5 Ultra для нового Mac Studio. Компания позиционирует их как значительный шаг вперёд по производительности и возможностям локального ИИ. M6 стал первым чипом Apple, изготовленным по 2-нм техпроцессу, а M5 Ultra — первым чипом серии M с архитектурой из четырёх кристаллов. M6 рассчитан на обычных пользователей, студентов, разработчиков, энтузиастов ИИ и…

❤3👍3

24 Aug 2026, 17:59 UTC≈1,820 views1 reactionsread 3 September 2026

​DoorDash построили внутреннюю платформу для облачных AI‑агентов под названием Flux. Масштаб уже впечатляющий: за один месяц 2026 года через неё прогнали 130 000 инженерных задач, включая свыше 25 000 автоматических код‑ревью в неделю и более 10 000 запусков playbook'ов из более чем 300 уникальных сценариев — всё это работает без участия человека, параллельно и круглосуточно. Разработка • Делегирование работы облач…

👍1

24 Aug 2026, 17:58 UTC≈1,620 views2 reactionsread 3 September 2026

​Android В Jetpack Compose всегда были API для линейных и радиальных градиентов. Но если хотелось получить более сложное смешивание цветов, подходящего встроенного решения не было. Теперь оно появилось: в Jetpack Compose 1.12 представлен MeshGradientPainter. • Забавные анимации с меш-градиентами в Jetpack Compose 1.12 • Android Runtime под капотом • Boxlore — умный плеер подкастов для Android • Шпаргалка: Kotlin Co…

❤2

24 Aug 2026, 17:58 UTC≈1,540 viewsread 3 September 2026

​iOS Apple урезает команду, работающую над Vision Pro, своей многострадальной VR-гарнитурой, а также сокращает должности в ряде других команд. По данным источников Bloomberg, в общей сложности было сокращено более 200 должностей, около 100 из которых — в команде Vision Pro. Остальные 100 затронут команду, работающую над Siri, и еще одну команду, Intelligent Systems Experience, которая занимается интеграцией ИИ в уст…

24 Aug 2026, 08:03 UTC≈1,760 views8 reactionsread 3 September 2026
Photo

🧪 Qampanion — Devtool для E2E и регрессионного тестирования мобильных приложений Привет! Мы сделали бесплатное macOS-приложение для E2E и регрессионного тестирования iOS и Android. Хотим собрать обратную связь от первых пользователей. Сценарии быстро собираются в визуальном редакторе, а переменные, скрипты, API и переиспользуемые шаги защищают тесты от превращения в отдельный сложный проект. Кому будет полезно: …

👍8

Showing the 12 most recent of 55 posts we hold for @apptractor. 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.

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

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.

Flutter Heroes
@flutterDev · 22,422
Telegram ranks this channel #52 of 87 here — alongside 86 others — read 20 September 2026
Teamlead Good Reads – ежедневные советы про менеджмент людей и команд
@leadgr · 28,120
Telegram ranks this channel #57 of 96 here — alongside 95 others — read 10 September 2026

This channel appears in 2 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Mobile Development by AppTractor” (@apptractor), 11,014 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/apptractor.

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.