Telegram RegisterThe public register of Telegram
Telegram profile photo for To Dual — Дима Еременко

Channel

To Dual — Дима Еременко

@to_dual

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Referenced elsewhere · Cite this entry

1,030subscribers

+6 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-1002186687987
TypeChannel
Username@to_dual
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live17 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/to_dual

Growth

1,0241,0301,0277 August 2026 — 1,024 subscribers8 August 2026 — 1,024 subscribers10 August 2026 — 1,026 subscribers17 August 2026 — 1,030 subscribers7 August 202617 August 2026
4 measurements spanning 10 days, net +6. 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 1,023–1,031 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 14:071,030+4
10 Aug 2026, 18:311,026+2
8 Aug 2026, 00:311,024no change
7 Aug 2026, 16:101,024first reading

Engagement

9 posts held, back to 3 February 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
15.8%
avg views ÷ 1,030 subscribers
Avg views / post
163
1 post measured
Reaction rate
16.6%
reactions ÷ views · ER floor
Posts in window
1
of 9 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 20 July 2026
Posts held9 (3 February 202620 July 2026)
Views total163
Reactions total27
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:31 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

Video runtime
1m 00s
Average length
1m 00s

Measured directly from 1 video 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

194 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 31.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6131.4%
custom 52963920025632249973920.1%
3317.0%
custom 52829240588648050812110.8%
👏105.15%
🤯105.15%
👍94.64%
custom 528277848524327334863.09%
🤔52.58%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 9 of the 9 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 194reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 3 February 2026 to 20 July 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
6
across the posts below
Posts paid on
6
of 9 we hold a reading for · 67%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @to_dual. 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 9 most recent posts we hold for this entry, published 3 February 2026 to 20 July 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

20 Jul 2026, 14:49 UTC163 views27 reactions1 Starread 8 August 2026
Photo

Почему стоит присмотреться к тому, что сейчас делает Китай в сфере ИИ Сейчас нахожусь в Шанхае, где заканчивается WAIC - международная конференция по ИИ. Про саму выставку рассказывать не так интересно, там довольна классическая история: роботы, стенды, очереди за подарками. А вот что действительно интересно: ⏺️Еще до конференции 29 стран подписали соглашение о создании WAICO, межправительственной организации по ИИ

🔥10👏9🤔53

18 Apr 2026, 16:26 UTC606 views31 reactions1 Starread 8 August 2026
Photo

Claude Design: когда дизайн становится разговором Помните исследование AI Fluency Index? Там Anthropic показал, что чем красивее результат у ИИ — тем меньше мы его проверяем. Но есть и другая сторона этого процесса: ИИ научился делать результат, который выглядит профессионально. Настолько, что Anthropic выкатили Claude Design — отдельный режим, где ты не собираешь макеты в Figma, а ставишь задачи текстом. Пишешь в

custom 529639200256322499711🔥10🤯10

24 Feb 2026, 10:59 UTC761 views19 reactionsread 8 August 2026
Forwarded from @namanatgPhoto

AI fluency index: Anthropic измерил, как мы работаем с ИИ Вчера Anthropic опубликовал исследование AI Fluency Index. Они проанализировали почти 10 тысяч разговоров с Claude и измерили, насколько люди умеют работать с ИИ эффективно. Главная находка: когда ИИ создаёт что-то красивое — код, документ, презентацию — мы перестаем думать критически. К слову, обсуждаем это в TO DUAL уже несколько месяцев Ну и любимое — ци

🔥106custom 52829240588648050813

18 Feb 2026, 17:47 UTC698 views15 reactionsread 8 August 2026
Photo

Часто пишу здесь про то, как ИИ меняет рынок труда и какие навыки становятся критичными. Но одно дело читать посты, а другое системно разобраться в теме и получить качественный диплом. Для тех, кто думает про второй вариант, завтра расскажу про нашу магистратуру "ИИ в маркетинге и управлении продуктом". Зимняя школа — это три дня вебинаров, мастер-классов и воркшопов для тех, кто присматривается к онлайн-магистратур

custom 528292405886480508175🔥3

17 Feb 2026, 10:51 UTC587 views15 reactions1 Starread 8 August 2026
Photo

50% компаний введут тесты без AI MIT провёл исследование: зависимость от ИИ-инструментов снижает обучаемость и глубину понимания даже когда краткосрочные результаты растут. То есть человек с нейросетью делает задачу лучше и быстрее. Но сам при этом становится слабее. Последний год я много работаю с корпоративными командами по ИИ-трансформации. И вижу этот паттерн вживую. Джуны, которые пришли в профессию уже с Cha

🔥8👍3custom 52963920025632249973👏1

13 Feb 2026, 16:50 UTC471 views28 reactions1 Starread 8 August 2026
Photo

Почему я не ставлю OpenClaw (и вам пока не советую) Последние недели все обсуждают OpenClaw — open-source AI-агент, который умеет управлять вашим компьютером, отвечать в мессенджерах, бронировать билеты, работать с почтой и календарём. Проект набрал 180 000 звёзд на GitHub за пару недель и вызвал дефицит Mac mini в американских магазинах. Люди массово покупают железо под домашние серверы с этим агентом. Выглядит ка

custom 5296392002563224997138🔥6👍1

10 Feb 2026, 07:25 UTC612 views14 reactions1 Starread 8 August 2026
Photo

Битва за доверие пользователей: Claude vs ChatGPT На Super Bowl случилось кое-что интересное. Anthropic купила рекламу на самом дорогом слоте в мире и показала ролики с названиями «Предательство», «Обман», «Нарушение». Посыл простой — мы никогда не будем показывать рекламу в нашем продукте, Claude останется чистым навсегда. Контекст такой: OpenAI в это же время начал тестировать рекламу в бесплатной версии ChatGPT,

custom 52963920025632249978custom 52827784852432733486

9 Feb 2026, 18:59 UTC386 views25 reactionsread 8 August 2026
Photo

Ищем человека в команду TO DUAL Мы растём. За последний год запустили несколько новых направлений: корпоративные программы для бизнеса, исследования, консалтинг по внедрению ИИ, а впереди еще и создание собственных ИИ-инструментов. И поняли, что нужен человек, который будет системно развивать всё это с точки зрения продаж и партнёрств. Позиция — менеджер по развитию бизнеса (New Business). Что нужно делать: — Разв

custom 5282924058864805081117🔥7

3 Feb 2026, 14:49 UTC485 views20 reactions1 Starread 8 August 2026
Photo

Почему AI не взлетает даже при больших инвестициях Недавно наткнулся на показательную цифру из отчёта Deloitte: 93% инвестиций в AI идут в технологии и только 7% — в людей, которые должны с ними работать На этом фоне прогноз от Gartner выглядит логично: к 2027 году около 40% проектов с AI-агентами будут закрыты как неудачные. И это не совпадение. Разрыв между «тестируем» и «работает» огромный: 38% компаний запуска

🔥7👍54custom 52963920025632249974

Showing the 9 most recent of 9 posts we hold for @to_dual. 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.

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.

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Wikipedia

One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.

Ерёменко, Дмитрий Игоревич (ru.wikipedia.org)
“…[http://penzadays.ru/person.php?id=1229 Известные люди Пензы] * [https://t.me/to_dual Telegram-канал] {{изолированная статья|дата=2015-02-08}} [[Категория:Каратисты…”
read 16 August 2026

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

“To Dual — Дима Еременко” (@to_dual), 1,030 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/to_dual.

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.