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Channel

AI-тишник Твердохлебов: неизбежные технологии

@dimatverdai

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

2,939subscribers

+10 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002230751092
TypeChannel
Username@dimatverdai
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/dimatverdai

Growth

2,9262,9392,932.57 August 2026 — 2,929 subscribers7 August 2026 — 2,929 subscribers10 August 2026 — 2,926 subscribers14 August 2026 — 2,939 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net +10. 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 2,924–2,941 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 05:272,939+13
10 Aug 2026, 23:412,926-3
7 Aug 2026, 16:532,929no change
7 Aug 2026, 13:332,929first reading

Engagement

18 posts held, back to 21 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.1%
avg views ÷ 2,939 subscribers
Avg views / post
738
3 posts measured
Reaction rate
2.75%
reactions ÷ views · ER floor
Posts in window
3
of 18 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
WindowRolling 30 days · latest post in window 5 August 2026
Posts held18 (21 April 20265 August 2026)
Views total2,215
Reactions total61
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 13:33 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.

Reaction mix

728 reactions across 18 posts, in 24 distinct kinds. The most used accounts for 32.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
23532.3%
👍20428.0%
🔥11716.1%
😁628.52%
😱243.30%
👎121.65%
🙏91.24%
🤡91.24%
🌚81.10%
💯70.962%
🙉70.962%
👻50.687%
💩50.687%
😈50.687%
❤‍🔥40.549%
👏40.549%
🤔30.412%
20.275%
🆒10.137%
🖕10.137%
4 further kinds40.549%

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 18 of the 18 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 728reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 21 April 2026 to 5 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
22
across the posts below
Posts paid on
18
of 18 we hold a reading for · 100%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dimatverdai. 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 18 most recent posts we hold for this entry, published 21 April 2026 to 5 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

5 Aug 2026, 05:00 UTC489 views32 reactions1 Starread 7 August 2026

А сегодня хороним корпорации в их нынешней топологии, порвав попутно пару баянов, хотя казалось бы: причем тут ИИ? Крупнейшая корпорация в истории человечества не знала ни KPI, ни OKR-ов, ни опенспейсов, ни даже еженедельных совещаний. Ее структурной единицей был не департамент и даже не отдел, а банальный корабль. Ост-Индская компания на пике контролировала больше половины мировой торговли и держала частную армию

18🔥11👍3

24 Jul 2026, 09:08 UTC875 views16 reactions1 Starread 7 August 2026
Forwarded from @ai_nom

«Опыт разработчика — это минус»: как ex-директор по ИИ МТС собрал пилоты для ВТБ и Bacardi [часть 2] Вторая часть разговора с Дмитрием Твердохлебовым, основателем ИИ-агентства Omnius Team. В первой части - про то, почему он берёт вайб-кодеров вместо разработчиков. Здесь - про саму бизнес-модель: как один человек закрывает пилоты для «Сибура» и ВТБ. 🔴Зачем тебе вайб-кодеры в целом? Дешевле, быстрее, или есть стратег

7❤‍🔥3👍3🔥2💩1

22 Jul 2026, 12:40 UTC851 views13 reactions1 Starread 7 August 2026
Forwarded from @ai_nomPhoto

«Опыт разработчика — это минус»: как ex-директор по ИИ МТС собрал пилоты для ВТБ и Bacardi [часть 1] Мы поговорили с Дмитрием Твердохлебовым, бывшим директором по искусственному интеллекту МТС, ех-VK, ex-Яндекс и основателем ИИ-агентства Omnius Team. За прошлый год он в одиночку собрал 15 работающих ИИ-пилотов для крупнейших российских компаний - от «Сибура» и «Газпром нефти» до ВТБ, «Райффайзена», Bacardi и Mars.

5👍3🔥2👎1💩1🤮1

15 Jul 2026, 12:46 UTC≈1,130 views20 reactions1 Starread 7 August 2026

Куда пойти учиться ИИ уже сегодня? Например ко мне 😏 Ну как ко мне, точнее и ко мне тоже, но на самом деле к нам, в школу лабораторию AiMindset Labs на программу AI-native organizations, и это уже третий поток. Это точно для вас, если вам прямо сегодня необходимо: • увидеть, где именно ИИ меняет рынок • снять (ну или изрядно убрать) рутину • настроить работу и кожаной команды, и AI-агентов • собрать ИИ-инфраструктур

🔥982👎1

12 Jun 2026, 03:31 UTC≈1,800 views38 reactions1 Starread 7 August 2026

Пока я(мы) активно нанимаем вайбкодеров к себе в omnius.team (и скоро анонсируем отдельную артель), становится все более очевидным, что бэкграунд разработчика у кандидатов -- это не плюс, а даже скорее минус. Объясню на примерах, но сначала “позволю себе маленькую историческую справку” © В 1967 году в швейцарском Невшателе собрали первый в мире кварцевый механизм для наручных часов — Beta 21. Швейцарцы держали в рук

👍2012🔥5💯1

8 Jun 2026, 04:03 UTC≈1,420 views14 reactions1 Starread 7 August 2026

Вчера пообещал пост про зоопарк боевых человекоподобных роботов, если насыпете тревожных реакций. Спасибо, насыпали, наш зоопарк открывается: В 1908 году в США было больше 250 производителей автомобилей. Каждый делал свой формат: свое топливо (бензин, керосин, пар, электричество), свой руль (палка, штурвал, рычаг), свое расположение педалей (тормоз справа, газ слева, потом наоборот, потом еще пять вариантов). Полов

7👍6😁1

7 Jun 2026, 12:58 UTC≈1,120 views41 reactions1 Starread 7 August 2026
Video

поставьте любую тревожную реакцию к этому видео, если хотите, чтобы уже завтра (в понедельник) в канале вышел новый пост не только (и не сколько) про AI, а про неизбежно грядущий зоопарк боевых человекоподобных роботов и их место в нашей жизни через три года, а также и про наше место в ИХ жизни лет не более чем через 10 😬🤖 <!-- AI-тишник Твердохлебов напоминает, что словами "я же говорил" этого не передать © -->

😱24🌚8😈5👏2👍1🆒1

25 May 2026, 02:25 UTC≈1,530 views143 reactions2 Starsread 7 August 2026

Три всадника апокалипсиса или “Особенности национального корпоративного ИИ-внедрения примерно во все процессы и продукты”. Но сначала краткая история отечественного ИИстроения: 2022: выход ChatGPT на GPT-3.5 Люди -- за неделю понимают, что можно писать письма, резюме, посты, домашки и объяснения “как будто мне 5 лет”. Бизнес -- собирает комитет, чтобы выяснить, не опасно ли использовать инструмент, который многие с

👍84🔥3419😁4💩1💯1

15 May 2026, 10:57 UTC≈1,600 views66 reactions1 Starread 7 August 2026
Video

#FridayHumor Кто в корпорации армии служил, тот в цирке не смеется © <!-- AI-тишник Твердохлебов обещает уже в понедельник написать откровенный пост про три всадника апокалипсиса основные ошибки при внедрении ИИ в бизнес, но только если это видео наберет 30+реакций. Вы знаете, что делать 👍 -->

👍44🤡9🙉7👻5🖕1

8 May 2026, 12:20 UTC≈2,000 views43 reactions1 Starread 7 August 2026
Photo

#FridayHumor <--! AI-тишника Твердохлебова -->

😁36🤔3👏2🤣1🙈1

6 May 2026, 09:44 UTC≈1,530 views24 reactions1 Starread 7 August 2026
Forwarded from @cryptoEssay

Шесть стадий, которые проходит любая компания, чтобы стать AI-native: 0. CEO говорит, что AI это важно, но никто ничего не делает кроме красивых презентаций, встреч и вздохов с придыханием "да, важно" и "нас заменююююют" 1. Люди вручную скармливают контекст чат-ботам: загрузил эксель в клода, скопировал пейпер в GPT, открыл миро доску через claude code, попросил отписаться в слак и сделать вид что ты работаешь 2.

👍11💯5👎42💩2

4 May 2026, 13:14 UTC≈1,480 views12 reactions1 Starread 7 August 2026
Forwarded from @doowhile

Забыл сделать анонс одного крутого мероприятия для руководителей компаний и лидеров команд. Сейчас исправлюсь и объясню почему надо идти. Итак, какая самая частая и дорогая ошибка в процессах трансформации в AI-first компанию сейчас? Думать, что активность = внедрение. Ваша команда уже пользуется всякими ChatGPT, кодинговыми агентами, начинает делать харнесс. Кто-то собрал ассистента для продажников. Во внутренних

👍5👎4🔥2❤‍🔥1

Showing the 12 most recent of 18 posts we hold for @dimatverdai. 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.

Citation-graph rank

Citation-graph rank — 25,100 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 3 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“AI-тишник Твердохлебов: неизбежные технологии” (@dimatverdai), 2,939 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/dimatverdai.

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.