25 measurements spanning 30 days, net +110. 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 11,468–11,635 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
6 Sept 2026, 14:41
11,616
+5
4 Sept 2026, 06:41
11,611
+12
2 Sept 2026, 20:56
11,599
+4
1 Sept 2026, 21:13
11,595
+2
31 Aug 2026, 23:18
11,593
+2
30 Aug 2026, 22:55
11,591
+2
29 Aug 2026, 21:28
11,589
+5
28 Aug 2026, 21:48
11,584
+4
28 Aug 2026, 00:41
11,580
+6
26 Aug 2026, 23:15
11,574
+6
25 Aug 2026, 21:43
11,568
+25
25 Aug 2026, 00:49
11,543
+39
23 Aug 2026, 13:45
11,504
+17
20 Aug 2026, 17:57
11,487
-4
19 Aug 2026, 21:26
11,491
-5
18 Aug 2026, 18:17
11,496
+3
17 Aug 2026, 18:55
11,493
-2
14 Aug 2026, 21:28
11,495
-3
13 Aug 2026, 13:16
11,498
+1
12 Aug 2026, 14:45
11,497
first reading
Engagement
22 posts held, back to 13 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 45 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
55.0%
avg views ÷ 11,616 subscribers
Avg views / post
6,390
2 posts measured
Reaction rate
0.869%
reactions ÷ views · ER floor
Posts in window
2
of 22 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 31 August 2026
Posts held
22 (13 September 2025 – 31 August 2026)
Views total
12,780
Reactions total
111
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:32 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.
Reaction mix
2,432 reactions across 22 posts, in 10 distinct kinds. The most used accounts for 30.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤝
745
30.6%
✍
562
23.1%
🙏
323
13.3%
😎
225
9.25%
🐳
216
8.88%
👀
145
5.96%
🤔
120
4.93%
🫡
71
2.92%
💊
16
0.658%
🗿
9
0.37%
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 22 of the 22 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 2,432 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 13 September 2025 to 31 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
250
across the posts below
Posts paid on
19
of 22 we hold a reading for · 86%
Most on one post
86
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @oleglimited. 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 22 most recent posts we hold for this entry, published 13 September 2025 to 31 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.
В новом видосе заставил Kimi K3 разрабатывать и тестировать код в цикле, пока результат не будет отвечать критериям качества.
Попробовал несколько различных сетапов, меняя количество агентов и настройки цикла тестирования. Некоторые из запусков уходили работать на 20+ часов)
Видос тут: https://youtu.be/u3gbL1cEEUs
Все исходники, промпты + созвон по командам агентов тут: club.stefanov.tech
Запилил видос, где затестил все способы работы с субагентами на реальных задачах. Заюзал subagents, agent teams, dynamic workflows + запилил свою кастомную гига систему для одновременного запуска 100+ агентов в различных рабочих архитектурах.
Видео: https://www.youtube.com/watch?v=gNsjZvzdGEE
Примеры видосов, которые собраны через ИИ тут
Промпты и исходный код всего из видео: club.stefanov.tech
Пока готвлю большой видос по командам агентов (который выйдет на следующей неделе), затестил модель M3 от MiniMax в связке с их MiniMax Code.
Видос тут: https://www.youtube.com/watch?v=_MAjc4JgFlo
Утилита для монтажа в DaVinci Resolve через терминал тут: club.stefanov.tech
Запилил видос про свои правила промптинга с AI агентами
В нем поделился подходами, которые выработал за год работы с Claude Code, Codex и другими ии кодинг тулами. И, конечно, разобрал каждый из них на конкретных примерах.
Видео: https://www.youtube.com/watch?v=iZXi1si4sjo
Что если дать AI агенту возможность редактировать свою память?
Есть мысль, что в текущих harness'ах возможно не хватает одной штуки.
Сейчас у агентов есть дофига способов обогатить свой контекст (добавить данные в сессию):
— memory tools
— всякие RAG по документам
— MCP серверы, которые ходят в файлы/базы/таски
— разные rules/AGENTS.md/CLAUDE.md
Но почти все эти вещи лишь добавляют данные в контекст. Сессия расте…
15 июня выступаю на конфе
Ребята из Podlodka AI Crew собрали сезон "AI-First Development", чтобы обсудить новые инженерные подходы, в которых AI становится частью команды (а не просто инструмент для генерации кода).
Я вписался выступить, чтобы рассказать как мы в Salmon пилим автоматизации рутиных процессов с помощью CLI-агентов.
Расскажу и покажу:
• Что такое CLI агенты и как их использовать для AI-автоматизаций…
Сделал гайд по Codex.
Постарался продемонстрировать все основные фишки этого инструмента, подсветил важные детали + капнул в различные формы кодекса: Codex App, Codex CLI, codex exec, codex app-server (в чем различия, когда что лучше использовать)
Ну и запилил пару прикольных проектов по дороге.
Видео вот: https://youtu.be/9j9pmM1OnLM
Клуб вайб-кодеров тут: https://t.me/tribute/app?startapp=sLrD
Там будет фулл со…
Запилил небольшой видос, где вайбкожу автоматизацию для постинга видосов, сгенерированных в моем недавнем проекте chertila.app, в x.com
Видос: https://youtu.be/P-mUxay7EYg
Код автоматизации из видео тут: https://github.com/coderroleggg/x-com-chertila-posting
Я снова попробовал заспидранить создание микро проектов.
Так как нейронки становятся все мощнее, решил в этот раз взять в разработку сразу 3 идеи.
В итоге управился примерно за 30 часов. Не все прошло идеально, но в целом удалось дойти до какого-то результата.
В новом видео рассказал с какими трудностями столкнулся, какие подходы использовал, что в итоге вышло.
Видос: https://www.youtube.com/watch?v=ZijGaPNyxBE
…
Почти год назад я зарелизил Fanfy— мой первый AI микро стартап
В новом видео рассказываю всё, что происходило после запуска. Что я улучшал и где дорабатывал. Какие в итоге цифры получились и сколько реально смог заработать.
Видос: https://www.youtube.com/watch?v=E0KML1B1ssg
Сырые цифры, графики и данные из видео тут: https://t.me/tribute/app?startapp=sLrD
(подписывайтесь, если просто хотите поддержать канал, там п…
Сделал видос про AI агентов
• Разобрал из чего они состоят, как работают
• Какие есть способы работать с памятью: compacting, RAG, Auto memory, графы памяти
• Как сделать своего агента
• Мультиагентные системы: subagents, agent teams и кое что еще
Видео: https://youtu.be/kgSy4NPWZ_4
Клуб по AI. Код проектов из видео тут: https://t.me/tribute/app?startapp=sLrD
(подписывайтесь, если просто хотите поддержать канал, т…
Сделал небольшое видео про AI кодинг фронтенда.
На примере своего пет проекта показал как можно оформлять UI с ИИ кодинг агентами, не получая в результате базовый фиолетовый AI стиль.
Видос: https://www.youtube.com/watch?v=Xh4ydlZ8lPQ
Проект из видео тут: https://t.me/tribute/app?startapp=sLrD (подписывайтесь, если просто хотите поддержать канал, там пока просто чат + пару материалов из роликов)
😎38✍25🤝17🐳6🗿5🤔3🙏2💊1
Showing the 12 most recent of 22 posts we hold for @oleglimited. 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.
Mentions
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.
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 6 September 2026 — this
entry's latest reading, not the date you are reading this.
“Олег: raw data” (@oleglimited), 11,616 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/oleglimited.
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.