🦞 SOLO предприниматель, строю проекты вместе с AI-агентами и консультирую.
Программа AI-агенты для предпринимателей: https://agentos.edgelab.space
Ищи тренды в рилсах: https://loore.ai
git https://github.com/qwwiwi
dm @eshievdashi
Created
Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Marketing & affiliate — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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
51 measurements spanning 81 days, net +8,860. 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 24,629–36,147 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 51
Measured (UTC)
Subscribers
Change
28 Oct 2026, 05:07
34,818
+101
27 Oct 2026, 04:48
34,717
+78
26 Oct 2026, 01:58
34,639
+117
25 Oct 2026, 05:20
34,522
+89
24 Oct 2026, 04:16
34,433
+86
23 Oct 2026, 05:50
34,347
+104
22 Oct 2026, 06:05
34,243
+168
20 Oct 2026, 21:22
34,075
+153
19 Oct 2026, 19:59
33,922
+107
18 Oct 2026, 21:45
33,815
+56
17 Oct 2026, 18:30
33,759
+34
16 Oct 2026, 17:26
33,725
+53
15 Oct 2026, 16:16
33,672
+23
14 Oct 2026, 17:57
33,649
+2
13 Oct 2026, 09:54
33,647
+356
9 Oct 2026, 04:19
33,291
+639
4 Oct 2026, 18:56
32,652
+396
26 Sept 2026, 22:58
32,256
+1,464
17 Sept 2026, 13:02
30,792
+328
15 Sept 2026, 12:58
30,464
first reading
Engagement
109 posts held, back to 13 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 137 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.4%
avg views ÷ 34,818 subscribers
Avg views / post
5,370
40 posts measured
Reaction rate
0.559%
reactions ÷ views · ER floor
Posts in window
40
of 109 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. It is computed over the 39 of 40 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 26 October 2026
Posts held
109 (13 July 2026 – 26 October 2026)
Views total
214,920
Reactions total
1,178
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Oct 2026, 14:12 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
357
Videos
37
Links
316
Lifetime counters from Telegram’s own channel header, read 28 October 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.
Video runtime
10m 19s
Average length
48s
Measured directly from 13 videos 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
3,966 reactions across 107 posts, in 12 distinct kinds. The most used accounts for 31.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,231
31.0%
👍
961
24.2%
🔥
737
18.6%
😁
527
13.3%
🤝
231
5.82%
💯
81
2.04%
🤯
70
1.77%
👀
52
1.31%
❤🔥
25
0.63%
🤪
23
0.58%
😱
15
0.378%
👏
13
0.328%
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 108 of the 109 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 3,966 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 109 most recent posts we hold, published 13 July 2026 to 26 October 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.
Work life balance или hard work?
Глянул последнее интервью Николая Сторонского, видео сильно набирает популярность в X.
Цитаты с его интервью и я с ним согласен, по другому никак. Чистый hardwork.
🟠Генеральный директор Revolut Ник Сторонский: «США не так уж конкурентоспособны. Европа еще менее конкурентоспособна».
«Китай конкурентоспособен».
«Китай — это 9/9/6. Даже если вы хороши в Европе или в США, как вы може…
Агенты меня каждую неделю чем-то удивляют.
Например, только что я похвалил и Сильвана поставила сердечку ❤️
Я такую функцию не задавал в боте или промптах, она сама нашла как поставить эмодзи и сделала это.
Мелочь, но прикольно.
Записки AI энтузиаста.
Реально ли агентам делегировать рутину?
Множество мифов ходит вокруг автоматизаций и главное, как не уйти в over engineering.
1. Автоматизации строятся на готовых процессах и готовых платформах (своих или чужих)
Продажи? тогда у вас AmoCRM или своя срм должна быть.
Финансы? 1с или готовые свои решения.
И так далее.
2. Для автоматизаций нужны уже готовые и проверенные скиллы (проверенные вами лично вручную)
Нуж…
Сегодня в 19:00 МСК – мастер-класс «Как внедрить AI-агентов в любой бизнес»
Почти все, кто мне пишет, уже пользуются ChatGPT, Claude или Codex. Но дальше – тупик. Открыли чат, что-то спросили, а что делать дальше – непонятно.
И тут два пути.
Первый – остаться заложником чата.
Сидеть по 5–10 часов, писать один и тот же промпт, а модель тупит, и вы не понимаете почему.
Второй – научиться оркестрации агентов. Это к…
Настолько ли клод хорош, чтобы заморачиваться над впн, документами, картой и еще чем то?
Я пользуюсь кодексом и клодом ежедневно, бывает по 4-8 часов без перерыва.
Давайте по конкретным задачам:
1️⃣Если вы хотите использовать для текста, сценариев и все что касается написанного контента.
Модель opus 5.5 пишет текст отлично и справляется со сценариями для рилсов, каруселей и постов.
Но ИИ текст все же легко идент…
Нужно ли собственнику самому уметь в AI-агентов
Я работаю с предпринимателями в рамках программы AgentOS, и самый частый вопрос 👇🏻
должен ли владелец бизнеса сам вайбкодить и управлять агентами.
Ответил голосовым, по своему опыту.
0:33 – Крупный бизнес: вам кодить не нужно, нужна команда, которая умеет
1:51 – Главное условие – команда должна хотеть внедрять
2:41 – Малый бизнес, как у меня: собственник учится сам
…
Мой сетап Claude Code, как кодить быстрее и дешевле.
Последние пару недель с моим товарищем тестируем новое решение, перенесли работу с субагентов на отдельные Claude -p (мы их назвали джобы).
Agent Jobs:
https://github.com/qwwiwi/agent-jobs
Почему считаю это решение удобным?
Основная сессия агента держит контекст на 1 млн токенов и на каждом шаге перечитывает его целиком.
(я экономлю и сессию макс урезаю до 400…
AI агенты для бизнеса или как стать в 10 раз эффективнее и быстрее.
Часто у меня спрашивают откуда у меня такой опыт в AI без опыта работы в крупных компаниях.
Все очень просто, у меня 80% окружения AI инженеры или data science ребята.
Работают в западных бигтехах, пример на скрине.
Например, один из моих друзей внутри компании прошел на позицию AI engineer.
Будет строить Agent platform внутри компании, компания…
❤12🤝3👍2
Showing the 12 most recent of 109 posts we hold for @dashi_agent. 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.
Posts edited after publishing
@dashi_agent edited 2 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
3 October 2026
Most recent edit
4 October 2026
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Готовлю новый воркшоп для предпринимателей, как создать AI агента и управлять своим бизнесом. Вопрос к вам, насколько важно использовать ChatGPT или Claude?
Важно, хочу именно Claude37%
Без разницы, главное чтобы работало34%
ChatGPT (Codex) проще и без блокировок, лучше создать агент на нем34%
The shares total 105%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Если бы вам сказали выбрать только одну LLM модель, какую бы выбрали?
Kimi5%
GPT TERRA3%
Grok2%
Minimax1%
GPT SOL15%
FABLE23%
OPUS 552%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 109 most recent posts we hold, published 13 July 2026 to 26 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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
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 28 October 2026 — this
entry's latest reading, not the date you are reading this.
“Записки AI энтузиаста” (@dashi_agent), 34,818 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/dashi_agent.
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.