Веду проекты на 6млн+ юзеров.
Устроил челлендж по запуску 12 маленьких IT-проектов за 12 месяцев. Показываю как разрабатываем, где продвигаем, что зашло и что не очень. Делюсь метриками, которые обычно скрывают.
Связь с автором: @ig_zuev
Created
Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 21 August 2026 and assigned it the closest of 31 fixed categories, at 92% 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
30 measurements spanning 35 days, net +3,033. 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 79,615–83,558 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
10 Sept 2026, 08:41
83,103
+410
7 Sept 2026, 04:17
82,693
+88
4 Sept 2026, 08:59
82,605
+208
2 Sept 2026, 23:46
82,397
+203
1 Sept 2026, 17:43
82,194
+66
31 Aug 2026, 16:43
82,128
+109
30 Aug 2026, 15:37
82,019
+60
29 Aug 2026, 12:23
81,959
+91
28 Aug 2026, 09:48
81,868
+135
27 Aug 2026, 09:08
81,733
+300
26 Aug 2026, 06:58
81,433
+42
25 Aug 2026, 03:56
81,391
+139
23 Aug 2026, 21:58
81,252
-4
22 Aug 2026, 08:34
81,256
-5
20 Aug 2026, 23:54
81,261
+17
19 Aug 2026, 21:52
81,244
-34
19 Aug 2026, 00:34
81,278
-28
17 Aug 2026, 23:52
81,306
+54
16 Aug 2026, 22:06
81,252
+68
15 Aug 2026, 15:27
81,184
first reading
Engagement
40 posts held, back to 1 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 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.5%
avg views ÷ 83,103 subscribers
Avg views / post
17,900
16 posts measured
Reaction rate
1.20%
reactions ÷ views · ER floor
Posts in window
16
of 40 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
Window
Rolling 30 days · latest post in window 11 September 2026
Posts held
40 (1 July 2026 – 11 September 2026)
Views total
285,660
Reactions total
3,433
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Sept 2026, 20:33 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
259
Videos
6
Links
321
Lifetime counters from Telegram’s own channel header, read 11 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
7,834 reactions across 38 posts, in 8 distinct kinds. The most used accounts for 45.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
3,536
45.1%
❤
2,239
28.6%
👍
1,757
22.4%
😱
109
1.39%
❤🔥
82
1.05%
🐳
42
0.536%
🤩
36
0.46%
😈
33
0.421%
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 39 of the 40 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 7,948 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 1 July 2026 to 11 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
53
across the posts below
Posts paid on
23
of 39 we hold a reading for · 59%
Most on one post
7
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @its_capitan. 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 40 most recent posts we hold for this entry, published 1 July 2026 to 11 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.
👦🏻 Проверка на адекватность перед стартом!
Прежде чем делать новое приложение, я как обычно пошел убедиться, что конкурентов на нашем рынке куча.
Не убегать от конкуренции (как делают обычно), а убедиться, что наша идея УЖЕ работает и зарабатывает.
Это первый шаг, который мы делаем всегда.
Например, у этого начинающего приложения выручка около $20К/месяц 👆
Что внутри:
– выбираешь иностранные слова
– к каждому с…
Первая версия игры для изучения иностранных слов 👆
Блин, мне прямо заходит!
Как делал:
Взял 1000 самых частых английских слов.
Собрал из них наборы: 50 самых частых, 100, 300 и 1000.
В начале игры выбираешь набор и тренируешь.
Механика такая:
Слово летит сверху. Если угадал, твой персонаж его облетает.
Если не угадал, то врезаешься в слово, игра останавливается.
Когда появляется правильный ответ, диктор прог…
🇬🇧 Запускаю игру для изучения иностранных слов!
Так получилось, что в университете мне достался английский и венгерский.
Венгерский – самый сложный язык Европы. Там одних только падежей около 30 штук (сами венгры не договорились, сколько точно))
6 лет учил его в мгимо вместе с английским, потом 4 года жил в Венгрии)
Главный вывод за все эти годы:
Пофиг на правила, если не знаешь слов.
Можно годами зубрить 12 вр…
Конкурент – это лучший партнер
У нас в комьюнити есть формат, который со стороны выглядит странно.
Суть простая: два человека работают в одной сфере. Например, оба делают AI-продукты для работы с документами.
По факту они – конкуренты.
Мы объединяем таких конкурентов в группы, где они помогают друг другу.
Звучит как абсурд. Но только для тех, кто ни разу так не пробовал)
Конкретный пример из комьюнити.
Иван ра…
Возможен ли ИИ-агент, который сам продвигает и монетизирует проекты?
Алхимики когда-то мечтали открыть философский камень. Т.е. превращать в золото что угодно.
У современных "алхимиков" мечта новая: завайбкодить систему, которая сама продвигает и монетизирует проекты.
В твиттере такие попытки вирусятся уже несколько лет – каждый месяц кто-то показывает очередную систему, которая "все сама": создает проект, продвиг…
👀 Как идут дела у наших выпускников на дистанции
Сегодня – про участника нашего самого-самого первого потока.
На нашей программе Рома запустил простой проект – электронную подпись документов в 1 клик.
Обычно для этого используют КриптоПро. Кто пользовался – знает, какие танцы с бубном приходится устраивать, чтобы подписать там документ без дополнительного софта.
А ставить Диадок или СБИС ради пары документов в ме…
Мой любимый момент из подкаста с сооснователем Skyeng
Это тот самый момент, где Денис Сметнев (сооснователь Skyeng – одного из самых известных стартапов в СНГ) говорит, что начинать со стартапа не стоит.
В этом моменте зарыта куча смысла.
Главный – начать с маленького увеличивает шансы сделать большое, а не уменьшает.
А начать сразу с большого – как раз наоборот, эти шансы снижает.
Парадокс, но вот так.
Если не…
Мы встретились в оффлайне. Личная история для тех, кто был вчера.
Вчера мы с Пашей Хегаем организовали оффлайн-ивент. Собрали выпускников нашей программы.
В Москве живет меньше 5% нашего комьюнити. Но вечер нетворкинга получился бомбезный 🔥
Это повод рассказать личную историю.
На дворе 2013 год, я счастлив, что поступил в мгимо.
И тогда на первом курсе в 2013-2014 казалось, что до чего ни дотронешься – все полет…
Подписка – топ. One-time платежи – фу! 🙅
После прошлого поста прилетел вопрос в личку:
Подожди, Игорь. Ты же 17 евро заплатил один раз, а не подписку.
Какой толк от такой модели в моем проекте, где платят один раз, а пользуются сколько угодно?
Другое дело, подписка. С нее денежки капают постоянно.
Вот это "постоянно" – главная ловушка.
Мозг часто воспринимает подписку как "вечные платежи".
Откуда это?
Снова из…
Купил микро-проект за €17.15 👆
Сегодня купил Bartender.
Это ярчайший пример микро-проекта. В узких кругах – почти легенда.
Все, что он делает – наводит порядок в меню-баре на маке.
Переставляет иконки, раскладывает по папочкам. И больше ничего)
Зачем мне это? Из меню-бара я открываю задачник, календарь и важные мне дашборды компании во всплывающих окнах, без браузера.
В итоге нет соблазна "заодно почту гляну". …
🚧 Где AI больше не поможет.
Спросите ChatGPT или Claude, как продвинуть свой сайт. Они навалят 101 идею. Красиво и по пунктам, как они умеют.
Только есть нюанс.
Если продвигать так, как советует AI, то получим то, о чем в Интернете пишут годами. Модель обучена на среднем по Интернету.
А специфика продвижения как раз в том, чтобы знать нюансы, которые опережают средние знания в Интернете.
И так в любой сфере.
Мы…
🔥61❤44👍44😈4❤🔥2🤩1
Showing the 12 most recent of 40 posts we hold for @its_capitan. 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.
Posts edited after publishing
@its_capitan edited 13 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
11 August 2026
Most recent edit
9 September 2026
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 52 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.
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 10 September 2026 — this
entry's latest reading, not the date you are reading this.
“Короче, капитан – Запускаем мини-приложения” (@its_capitan), 83,103 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/its_capitan.
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.