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Channel

Олег: raw data

@oleglimited

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

11,624subscribers

+118 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002353892841
TypeChannel
Username@oleglimited
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live31 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 31 October 2026
On Telegramt.me/oleglimited

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 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 the other topics.

Growth

11,48711,68011,583.57 August 2026 — 11,506 subscribers8 August 2026 — 11,503 subscribers9 August 2026 — 11,502 subscribers10 August 2026 — 11,499 subscribers11 August 2026 — 11,501 subscribers12 August 2026 — 11,497 subscribers13 August 2026 — 11,498 subscribers14 August 2026 — 11,495 subscribers17 August 2026 — 11,493 subscribers18 August 2026 — 11,496 subscribers19 August 2026 — 11,491 subscribers20 August 2026 — 11,487 subscribers23 August 2026 — 11,504 subscribers25 August 2026 — 11,543 subscribers25 August 2026 — 11,568 subscribers26 August 2026 — 11,574 subscribers28 August 2026 — 11,580 subscribers28 August 2026 — 11,584 subscribers29 August 2026 — 11,589 subscribers30 August 2026 — 11,591 subscribers31 August 2026 — 11,593 subscribers1 September 2026 — 11,595 subscribers2 September 2026 — 11,599 subscribers4 September 2026 — 11,611 subscribers6 September 2026 — 11,616 subscribers9 September 2026 — 11,627 subscribers12 September 2026 — 11,641 subscribers13 September 2026 — 11,654 subscribers15 September 2026 — 11,666 subscribers17 September 2026 — 11,674 subscribers26 September 2026 — 11,680 subscribers4 October 2026 — 11,674 subscribers9 October 2026 — 11,676 subscribers13 October 2026 — 11,678 subscribers14 October 2026 — 11,675 subscribers15 October 2026 — 11,663 subscribers16 October 2026 — 11,655 subscribers17 October 2026 — 11,653 subscribers18 October 2026 — 11,651 subscribers20 October 2026 — 11,650 subscribers23 October 2026 — 11,642 subscribers24 October 2026 — 11,643 subscribers25 October 2026 — 11,642 subscribers26 October 2026 — 11,638 subscribers28 October 2026 — 11,636 subscribers29 October 2026 — 11,641 subscribers30 October 2026 — 11,636 subscribers31 October 2026 — 11,624 subscribers11,6247 August 202631 October 2026
48 measurements spanning 85 days, net +118. 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 11,458–11,709 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
31 Oct 2026, 14:5011,624-12
30 Oct 2026, 13:1711,636-5
29 Oct 2026, 12:2811,641+5
28 Oct 2026, 08:3711,636-2
26 Oct 2026, 08:1411,638-4
25 Oct 2026, 08:0611,642-1
24 Oct 2026, 05:2111,643+1
23 Oct 2026, 02:5411,642-8
20 Oct 2026, 19:4911,650-1
18 Oct 2026, 17:3111,651-2
17 Oct 2026, 15:1611,653-2
16 Oct 2026, 16:2611,655-8
15 Oct 2026, 18:0511,663-12
14 Oct 2026, 16:3711,675-3
13 Oct 2026, 05:5711,678+2
9 Oct 2026, 00:0011,676+2
4 Oct 2026, 17:0011,674-6
26 Sept 2026, 19:1811,680+6
17 Sept 2026, 13:5711,674+8
15 Sept 2026, 16:0111,666first 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 22 posts for this entry, the most recent from 31 August 2026. An engagement rate over an empty window would be a number about nothing.

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
ReactionCountShareShare, drawn
🤝74530.6%
✍56223.1%
🙏32313.3%
😎2259.25%
🐳2168.88%
👀1455.96%
🤔1204.93%
🫡712.92%
💊160.658%
🗿90.37%

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.

Recent posts

31 Aug 2026, 13:30 UTC≈4,220 views43 reactions1 Starread 3 September 2026

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

🙏18🐳10✍7🤝5🤔2😎1

22 Aug 2026, 13:07 UTC≈8,560 views68 reactions1 Starread 3 September 2026

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

🙏28🤝23🐳8💊3✍2🫡2👀1🤔1

31 Jul 2026, 12:10 UTC≈11,300 views44 reactions3 Starsread 3 September 2026

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

😎24✍7👀5🤝4💊3🫡1

1 Jul 2026, 16:24 UTC≈15,000 views101 reactions35 Starsread 3 September 2026

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

🤝73😎11👀9🤔5✍2🐳1

29 Jun 2026, 12:31 UTC≈12,600 views77 reactionsread 3 September 2026

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…

🤔50✍16🐳6🤝3😎2

5 Jun 2026, 12:54 UTC≈12,800 views71 reactionsread 3 September 2026
Photo

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…

😎44✍15🤝10👀2

31 May 2026, 19:03 UTC≈14,000 views129 reactions5 Starsread 3 September 2026

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…

🙏56🤝44🐳11😎11✍5🫡2

14 May 2026, 13:57 UTC≈15,600 views46 reactionsread 3 September 2026

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

👀18🐳10🤝8🙏8🗿2

30 Apr 2026, 20:28 UTC≈18,700 views126 reactions5 Starsread 3 September 2026

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 …

✍67🐳27👀14🤔7🤝7😎3💊1

3 Apr 2026, 15:35 UTC≈18,700 views108 reactions5 Starsread 3 September 2026

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…

✍55🙏20🤝16😎10👀4🫡2🗿1

2 Mar 2026, 11:46 UTC≈23,600 views154 reactions5 Starsread 3 September 2026

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…

👀60🤝54🐳15😎11✍8🤔3🙏2🫡1

26 Feb 2026, 19:36 UTC≈19,200 views97 reactions5 Starsread 3 September 2026

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 31 October 2026 — this entry's latest reading, not the date you are reading this.

“Олег: raw data” (@oleglimited), 11,624 subscribers as measured 31 October 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.