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
35 measurements spanning 52 days, net +4,600. 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 79,380–85,360 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
26 Sept 2026, 20:40
84,670
+981
17 Sept 2026, 13:58
83,689
+288
15 Sept 2026, 16:19
83,401
+135
14 Sept 2026, 01:58
83,266
-5
12 Sept 2026, 10:15
83,271
+168
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
first reading
Engagement
48 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.0%
avg views ÷ 84,670 subscribers
Avg views / post
19,500
16 posts measured
Reaction rate
0.889%
reactions ÷ views · ER floor
Posts in window
16
of 48 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 25 September 2026
Posts held
48 (1 July 2026 – 25 September 2026)
Views total
311,600
Reactions total
2,770
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 12:21 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
266
Videos
6
Links
329
Lifetime counters from Telegram’s own channel header, read 27 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
9,410 reactions across 46 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
🔥
4,242
45.1%
❤
2,635
28.0%
👍
2,163
23.0%
😱
137
1.46%
❤🔥
86
0.914%
😈
54
0.574%
🐳
51
0.542%
🤩
42
0.446%
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 47 of the 48 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 9,524 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 1 July 2026 to 25 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
67
across the posts below
Posts paid on
32
of 47 we hold a reading for · 68%
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 48 most recent posts we hold for this entry, published 1 July 2026 to 25 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.
Это график роста запросов вокруг Custom GPTs 👆
OpenAI решила их закрыть.
Для пользователей – это проблема. Но для нас с вами - возможность.
Когда закрывается большая платформа, одновременно происходят две вещи:
1. Огромное количество людей к ней привыкло и начинает судорожно искать замену.
2. Прямых аналогов нет. Ведь никому и в голову не приходило, что большая платформа может закрыться.
В итоге большой спрос н…
Custom GPTs – всё! 🪦
OpenAI объявила, что до конца года закрывает стор кастомных GPTs и пересаживает всех на плагины.
Google следом сворачивает Gemini Gems.
Большие компании хором закрывают AI-сторы "первой версии" и переводят юзеров на полноценные сторы с плагинами. Т.е. весь фокус – на новых типах сторов.
Для обычного пользователя это "ну ок".
Для нас с вами – новые сторы с еще большими возможностями.
Почему …
У продукта $4К/мес. Сделали такой же – но для юристов!
Вот тут рассказывал, как наш bota.chat прошел отметку в $4К/мес.
Это AI-чат, который за 5 месяцев неплохо так подрос.
Масштабируем его через спин-оффы.
Вытаскиваем одну функцию – например, AI для документов. И запускаем отдельный проект на той же базе, но заточенный только под эту функцию.
Так появился ai-flip.ru – чисто для документов, который уже приносит …
🤯 +$300 000 на простом Chrome расширении за 60 дней
В этом примере есть все. И везение, и талант, и как пользователи умеют платить за простые проекты.
Но обо всем по порядку.
Ребята нашли одну простую боль:
Вы вайбкодите проект. На написание промптов сейчас уходит больше времени, чем на сам продукт!
И они сделали простое расширение для браузера:
1. Открываете ChatGPT или другую LLM
2. Вводите идею. Например: Хо…
Где тут грабли? Начинаем в 15:00 🔥
Сегодня в прямом эфире свои самые болезненные фейлы разберут:
– Денис Сметнев, сооснователь Skyeng
– Павел Хегай, основатель heg.ai и Romantic AI
– Роман Белодед, основатель AI Practiq и управляющий партнёр венчурного фонда YellowRocks.vc
Каждый спикер поделится своими наработками, чтобы вы не наступили на те же грабли и сэкономили в своих проектах самое ценное, что у нас с вам…
Масштабируем $4К/месяц через создание экосистемы 🛰 🛰🛰
Итак, наш bota.chat из поста выше через 5 месяцев после запуска вышел на +$4К/месяц.
Когда у проекта начинает получаться, мы масштабируем его через экосистему.
Вот пример:
В bota.chat мы здорово прокачали работу с документами. Но многие люди ищут в поиске не "AI помощник", а конкретно "нейросеть для работы с документами".
Так почему бы не сделать под этот зап…
Наш bota.chat прошел отметку $4K в месяц!
Сейчас прорабатываем каждую фичу, чтобы еще больше улучшить LTV.
Заметили, что многие используют наш бот для работы с документами.
В итоге запустили целый движок, который позволяет прямо в чате генерировать документы, смотреть их и править в удобном сайдбаре 👆
А после того, как документ создан, выгружаем в PDF или Word в 1 клик.
Важно, что бот создает не просто рандомные…
🔥 Фейлы предпринимателей с огромным опытом
У нас третий эпизод реалити Где тут грабли!
На этот раз буду проводить с 3 друзьями – предпринимателями с огромным опытом.
Каждому задам простой вопрос: какой ваш главный фейл в онлайн-проектах? И какие уроки вы из него вынесли?
С учетом уровня спикеров цель ивента – сэкономить зрителям 10+ лет экспериментов за 1,5 часа встречи.
Вот кого позвал:
Денис Сметнев. Сооснова…
👦🏻 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…
🔥90👍59❤48😱5🤩2❤🔥1
Showing the 12 most recent of 48 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 14 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
19 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 57 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Короче, капитан – Запускаем мини-приложения” (@its_capitan), 84,670 subscribers as measured 26 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.