Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 48% 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 why it has no browse page of its own yet.
Growth
47 measurements spanning 80 days, net -631. 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 21,797–22,620 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)
Subscribers
Change
25 Oct 2026, 01:08
21,892
-15
24 Oct 2026, 00:05
21,907
+2
23 Oct 2026, 03:26
21,905
-5
22 Oct 2026, 01:18
21,910
-8
20 Oct 2026, 21:40
21,918
-22
19 Oct 2026, 21:38
21,940
-7
18 Oct 2026, 20:19
21,947
-26
16 Oct 2026, 20:39
21,973
-12
15 Oct 2026, 18:48
21,985
-15
14 Oct 2026, 20:08
22,000
-1
13 Oct 2026, 08:38
22,001
-91
9 Oct 2026, 07:18
22,092
-74
4 Oct 2026, 23:00
22,166
+10
27 Sept 2026, 20:39
22,156
-88
17 Sept 2026, 14:59
22,244
-11
15 Sept 2026, 11:00
22,255
-15
13 Sept 2026, 16:18
22,270
-18
11 Sept 2026, 21:16
22,288
-23
9 Sept 2026, 09:57
22,311
-47
6 Sept 2026, 01:39
22,358
first reading
Engagement
28 posts held, back to 24 May 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 74 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
36.4%
avg views ÷ 21,892 subscribers
Avg views / post
7,970
15 posts measured
Reaction rate
1.48%
reactions ÷ views · ER floor
Posts in window
15
of 28 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 12 October 2026
Posts held
28 (24 May 2026 – 12 October 2026)
Views total
119,620
Reactions total
1,775
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Oct 2026, 23:08 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
19s
Average length
19s
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
5,133 reactions across 28 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,133
100.0%
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 28 of the 28 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 5,133 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 24 May 2026 to 12 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.
Telegram Stars
Stars received
197
across the posts below
Posts paid on
15
of 28 we hold a reading for · 54%
Most on one post
73
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dumik. 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 28 most recent posts we hold for this entry, published 24 May 2026 to 12 October 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.
— а что с джунами будет, Кость?
— я вижу людей, которые нанимают джунов. они существуют.
— успокоил)
созванивались с Костей Горским (ссылка на канал). Костя много лет строил дизайн в Яндексе и Intercom, а сейчас в Ирландии делает hirehire: агентство по найму дизайнеров, продактов и разработчиков и ai-агента для рекрутеров. то есть смотрит на рынок найма с обеих сторон.
статистику не смотрел, говорит Костя. нанимают…
когда жил в сан-франциско, купил себе коврик.
лежал перед входной дверью, на нём по-английски: вся твоя жизнь вела тебя в эту точку.
становишься на коврик — и чувствуешь вес. все действия, которые ты принял за свою жизнь, результировали в то, что ты стоишь здесь.
я обожаю новый год. праздновать — нет, мне нравится сам момент: точка перехода, которая у всех и так стоит в календарях. оглядываешься на год, присваивае…
полгода, больше года, тринадцать лет и вся жизнь.
это четыре срока. я к ним вернусь.
в конце июля 100+ человек из 30 стран зашли в третий сезон WNDR.
три месяца, три темы подряд: «моя игра», “мастермайнд” и «смелость». на каждую — подкаст, мастерская с разборами и три недели, когда каждый пишет в чат, что он с этой темой делает. 678 таких заметок за сезон.
параллельно комьюнити жило своей жизнью. ребята собиралис…
на второй день проснулся и подумал — нах*ра я все это начал)
«все это» — pure & nocaf game, 50 дней без стимуляторов. без кофе, чая, матчи, энергетиков, разгоняющих саплементов и даже без какао. забросил оффер в чат WNDR, и через день нас там было 25. пару дней назад закрыл 50/50.
после напряженных месяцев (тревел, события, новый стартап) я почувствовал, что раскачалась нервная система. впереди длинный забег, а я з…
9/8 бонус
на панели про agi со сцены спросили зал: кто за три года с ai стал работать меньше? ни одной руки. а кто больше? весь зал.
неопределенности больше, скорость выше, и мы пытаемся все это удержать через мнимый контроль продуктивности.
а в конце был блиц: какие качества нужны человеку после agi.
люди, которые на фронтире технологической революции ответили:
любопытство.
спокойствие.
sense of purpose.
умение …
8/8 ответственность за результат — не завайбкодить.
клиент соберет себе инструмент для деклараций за два дня. но декларацию, за которую кто-то отвечает, он себе не соберет. за это и будут платить.
7/8 и наоборот: классический бизнес делать все еще можно, но строить его сразу ai-native.
в классическом бизнесе еще очень много операционной неэффективности. если с первого дня по максимуму собирать контекст, хранить и обрабатывать его, ставить автоматизации, агентов, harness, то эта неэффективность превращается в маржинальность.
6/8 технологические бизнесы превращаются в операционные.
компания моего знакомого построила ии-операционную систему для бизнеса и продает то, что раньше делал консультант mckinsey. ии интервьюирует команду, они смотрят в цифры, находят процесс с максимальным roi и сразу его автоматизируют.
продается не софт, а переход в новое состояние. бизнеса, сотрудника, команды.
5/8 если не за софт, то за что будут платить? за результат.
мы платили за лицензию навсегда, потом за подписку, сейчас за токены. каждый шаг ближе к фактическому использованию.
следующий шаг -- дайте мне результат: горячего лида на созвоне, заполненные и поданные декларации, качественный рилс, готовый к публикации.
4/8 классический saas тает с трех сторон.
за сложный софт платить будут. а огромный рынок «база данных + красивый интерфейс» съедают diy внутри компаний, сами llm-ки (chatgpt выкатывает фичу, и целый слой бизнеса исчезает) и красный океан 20-30-летних, которые запустились за два дня.
вы не хотите быть в этом месте. и я не хочу.
3/8 сложный софт все еще делать сложно.
и его пока не завайбкодить. люди часто не понимают, насколько сложно собрать хорошее, архитектурно сложное приложение без fundamentals. это называется неинформированный оптимизм.
и он влияет на принятие решения о покупке (да сами сделаем!).
❤69
Showing the 12 most recent of 28 posts we hold for @dumik. 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
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
Named by 9 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Matskevich - brains, love and robots @Matskevich · 25,052#1
Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
deep mind 2.0 @mindfulleadersrussia · 20,189 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 29 September 2026
The Future Of Work @thefutureofwork · 20,687 Telegram ranks this channel #1 of 99 here — alongside 98 others — read 26 September 2026
Matskevich - brains, love and robots @Matskevich · 25,052 Telegram ranks this channel #1 of 98 here — alongside 97 others — read 14 September 2026
FounderWoman @FounderWoman · 44,970 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 27 August 2026
Daily Reminder @justakindreminder · 36,430 Telegram ranks this channel #5 of 98 here — alongside 97 others — read 1 September 2026
Dasha’s notes | люди и смыслы @technohumanist · 38,129 Telegram ranks this channel #7 of 95 here — alongside 94 others — read 1 September 2026
состояние потока @optimalexperience · 20,480 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 26 September 2026
Итак, это Панов @itakblet · 25,297 Telegram ranks this channel #11 of 96 here — alongside 95 others — read 15 September 2026
Ваня Замесин @zamesin · 50,002 Telegram ranks this channel #11 of 97 here — alongside 96 others — read 25 August 2026
Максим Спиридонов @mspiridonov · 68,625 Telegram ranks this channel #11 of 98 here — alongside 97 others — read 21 August 2026
Rinat Aliev | Channel @telega_Rinata · 19,169 Telegram ranks this channel #12 of 97 here — alongside 96 others — read 4 October 2026
Olymarkes Daily @markesdaily · 27,762 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 9 September 2026
Linguamarina @mogilkomarina · 56,132 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 23 August 2026
kyrillic @kyrillic · 60,875 Telegram ranks this channel #19 of 96 here — alongside 95 others — read 22 August 2026
Мама в Телеграме @mamavtelegrame · 46,732 Telegram ranks this channel #20 of 88 here — alongside 87 others — read 26 August 2026
Oh, world! @ohwrld · 26,656 Telegram ranks this channel #22 of 88 here — alongside 87 others — read 12 September 2026
Денис Семенихин @DenisSemenikhin · 34,259 Telegram ranks this channel #23 of 93 here — alongside 92 others — read 8 September 2026
Masha Ivakova @mashaivakova · 39,226 Telegram ranks this channel #23 of 88 here — alongside 87 others — read 31 August 2026
Лидерская позиция | Андрей Шапенко @leadership_position · 27,412 Telegram ranks this channel #25 of 98 here — alongside 97 others — read 11 September 2026
Sokolovskiy @sokolay · 109,209 Telegram ranks this channel #28 of 94 here — alongside 93 others — read 14 August 2026
Макс Трейси @maxtreysi · 44,776 Telegram ranks this channel #29 of 83 here — alongside 82 others — read 28 August 2026
ХУЦПА <-> Женя Давыдов @hutzp · 42,954 Telegram ranks this channel #32 of 98 here — alongside 97 others — read 27 August 2026
VadimAlesya_Key @vadimalesyakey · 37,101 Telegram ranks this channel #34 of 90 here — alongside 89 others — read 5 October 2026
Павел Гительман @potok_gitelman · 38,543 Telegram ranks this channel #34 of 91 here — alongside 90 others — read 1 September 2026
This channel appears in 77 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 October 2026 — this
entry's latest reading, not the date you are reading this.
“Dumik” (@dumik), 21,892 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/dumik.
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.