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 100% 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
55 measurements spanning 91 days, net +522. 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 10,092–10,897 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)
Subscribers
Change
5 Nov 2026, 11:19
10,804
+19
4 Nov 2026, 10:18
10,785
-1
3 Nov 2026, 12:49
10,786
+4
2 Nov 2026, 14:38
10,782
+6
1 Nov 2026, 13:24
10,776
+50
31 Oct 2026, 13:28
10,726
+8
30 Oct 2026, 14:18
10,718
+7
29 Oct 2026, 12:37
10,711
+11
28 Oct 2026, 14:18
10,700
+14
27 Oct 2026, 12:39
10,686
+3
26 Oct 2026, 12:46
10,683
+16
25 Oct 2026, 12:57
10,667
+20
24 Oct 2026, 11:07
10,647
+4
22 Oct 2026, 06:46
10,643
+17
21 Oct 2026, 00:27
10,626
+11
19 Oct 2026, 22:41
10,615
+9
18 Oct 2026, 19:29
10,606
+9
16 Oct 2026, 17:28
10,597
+21
15 Oct 2026, 16:16
10,576
+4
14 Oct 2026, 18:58
10,572
first reading
Engagement
43 posts held, back to 12 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.0%
avg views ÷ 10,804 subscribers
Avg views / post
1,720
10 posts measured
Reaction rate
0.407%
reactions ÷ views · ER floor
Posts in window
10
of 43 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 9 of 10 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 2 November 2026
Posts held
43 (12 July 2026 – 2 November 2026)
Views total
17,244
Reactions total
64
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 08:23 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
≈217
Videos
≈23
Links
≈1,270
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3m 24s
Average length
1m 08s
Measured directly from 3 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
329 reactions across 39 posts, in 6 distinct kinds. The most used accounts for 39.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
130
39.5%
🔥
98
29.8%
👏
51
15.5%
🤔
35
10.6%
😱
8
2.43%
😢
7
2.13%
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 40 of the 43 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 329 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 12 July 2026 to 2 November 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
39
across the posts below
Posts paid on
16
of 43 we hold a reading for · 37%
Most on one post
7
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @daily10. 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 43 most recent posts we hold for this entry, published 12 July 2026 to 2 November 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
Telegram’s own ‘edited’ marker: 5 of 10 posts held from the last 30 days (50.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Все становится игрой. Метатренды. Выпуск 5
Я уже несколько лет пишу о том, что все медиа со временем становятся игрой. Блоги победили обычные журналы (по популярности). Видео и запрещенный Instagram победили блоги. А игры (типа Roblox и проч.) в итоге побеждают видео. Это естественный процесс, по по всем законам ТРИЗ и прогресса.
Более того, работа и обучение тоже превращаются в разновидность игр. Я уже не говорю,…
Сделал несколько браузерных игр в Tweekly.
Одна из них: «Краснодар, 90-е», ездишь на убитой «шестерке» по городу, инвестируешь в МММ, крышуешь рынки.
Графика простейшая, чтобы можно было играть в браузере.
Вот тут можно поиграть без регистрации и sms https://tweekly.ru/play/krasnodar/
И тут еще несколько https://tweekly.ru/play/
Главные AI и Tech новости за неделю за 30 секунд
🧩 Anthropic готовится к IPO
Это будет одно из самых громких размещений. Выручка на сотрудника $6.6M. Клиенты через год пользования Claude обычно в следующем году тратят в 9 раз больше. И другие интересные цифры.
Источник
🎙️ Mistral запускает Voxtral 3
Voxtral 3 объединяет распознавание речи, рассуждение, вызов инструментов и голосовой ответ в одном потоке. Такой голо…
Самая дорогая стадия вайб-кодинга и работы с Claude Code: «почти готово».
Интерфейс красивый. Основной сценарий работает. Claude поздравил с успешным завершением задачи.
Осталось немного: разобраться с авторизацией, починить оплату, проверить права доступа, объяснить пользователю, куда нажимать. И найти человека, которому всё это вообще нужно и кто заплатит деньги.
На этом месте очень хочется начать новый проект. …
Куда подключить мозг мухи?
Не так давно ученые оцифровали мозг мухи и выложили на github.
Умельцы из Twitter/X тут же начали подключать эту бедную муху к разным задачам.
Самый интереснй пример — подключить мозг мухи к своему брокерскому счету и уволить управляющего (т.к. муха будет управлять вашими акциями не хуже)
Я тоже недавно скачал себе на Macbook колонию цифровых муравьев и мозг мухи, посмотреть, куда мир к…
Продолжаю эксперименты с разными видами вертикальных видео.
Даже до фотореалистичных добрался (см. пример в запрещенном сервисе https://www.instagram.com/reel/Des9jOEiKr_/)
Пока что лучший результат дал один анимационный ролик, который залетел на 1,2 млн. просмотров
Попробовал 4 разных видов сериалов/концепций:
• Экономическая машина — про экономику (пока что самое массовое)
• Босс агентов (про ИИ-агентов)
• Кух…
Главные AI и Tech новости за неделю за 30 секунд
🧠 Microsoft готовит новые чипы Maia для AI
Microsoft расширяет линейку собственных чипов Azure Maia. Уже работающий Maia 200 используется для Copilot, Teams и Cowork в дата-центрах США, Европы и Австралии. По оценке Microsoft, он выдаёт до 1,7 раза больше токенов на ватт, чем сопоставимые системы на GPU.
Источник
🎯 Microsoft выпустила Decision 1
Microsoft Decision 1 …
🏛️ Anthropic создаёт фонд общественной пользы и передаст ему долю в компании
Anthropic планирует передать новому Public Benefit Fund 5% своих акций — если решение одобрят акционеры. В дальнейшем фонд сможет получать ещё по 2% акций каждый раз, когда стоимость компании вырастет на 50% выше установленного уровня. Решение о передаче дополнительных долей будет принимать совет директоров.
Источник
—
Еще можно успеть запи…
На Youtube сработал примерно тот же алгоритм, что и в запрещенном Instagram.
Пара недель публикации коротких вертикальных видео и вот вам 10 тыс. подписчиков.
Статистика: 7 тыс. подписчиков за 2 недели, в прошлом месяце было около 3-х тысяч. С учетом, что я на это практически не трачу времени, очень неплохо.
Конечно же подпишитесь на мой Youtube-канал.
Завтра в 19.00 мск начинается курс «Фабрика ИИ-контента и лид…
Недавно сделал серию коротких мультфильмов по основам экономики, под названием «Экономическая машина» (почти как у Рэя Далио).
За пару недель у роликов больше 3 млн. просмотров и больше 60 тыс. подписчиков в моем инстаграм (сервис Мета конечно же запрещен в РФ). Полная версия доступна для платных подписчиков tweekly в личном кабинете.
Если хотите научиться делать похожие анимационные видео, приходите на курс «Фабри…
Главные AI и Tech новости за неделю за 30 секунд
🧠 OpenAI представила GPT-6.1 Sol, агентов dots и новый тариф ChatGPT Pro за $500
На DevDay 2026 компания анонсировала более 20 обновлений для ChatGPT, Codex и API. Главная новинка — агенты dots на базе GPT-6 Astra: они получают собственный облачный компьютер, могут постоянно выполнять поручения пользователя и работать в подключённых приложениях. Функция доступна на та…
«Компания без сотрудников» (zero-man company) это пока что маркетинг. Хотя тренд действительно в том, что в компаниях становится все меньше людей и все больше ИИ-агентов.
Вот что работает на самом деле.
В twitter/x есть публиковли интересный кейс: 14 ИИ-агентов, 5 отделов, инфраструктура дешевле $20 в месяц. Запущено в апреле. Что получилось за полгода: 95 статей, 28 инструментов, 3 323 читателя в месяц. Выручка $…
👏9❤2
Showing the 12 most recent of 43 posts we hold for @daily10. 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 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.
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.
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.
GPT/ChatGPT/AI Central Александра Горного @aioftheday · 44,586 Telegram ranks this channel #18 of 97 here — alongside 96 others — read 29 August 2026
Витрина стартапов @showstartup · 26,865 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 11 September 2026
Стартап дня. Александр Горный. @startupoftheday · 62,655 Telegram ranks this channel #28 of 97 here — alongside 96 others — read 22 August 2026
Тёмная сторона / Темнографика @temno · 79,187 Telegram ranks this channel #28 of 99 here — alongside 98 others — read 18 August 2026
💎 Зерокодер | Нейросети и искусственный интеллект @oqode · 39,432 Telegram ranks this channel #56 of 92 here — alongside 91 others — read 30 August 2026
Индекс дятла @dindex · 22,224 Telegram ranks this channel #64 of 98 here — alongside 97 others — read 21 September 2026
СберСтартап @sberstartup · 41,006 Telegram ranks this channel #65 of 100 here — alongside 99 others — read 29 August 2026
Квест Теория Каст и Ролей @alexkrol · 18,764 Telegram ranks this channel #68 of 95 here — alongside 94 others — read 5 October 2026
КапиталопедиЯ |Инвест Идеи @kapitalopedia · 20,810 Telegram ranks this channel #79 of 88 here — alongside 87 others — read 24 September 2026
Венчур по Понятиям @ventureStuff · 20,267 Telegram ranks this channel #86 of 95 here — alongside 94 others — read 3 October 2026
Forbes. Идеи для бизнеса @forbes_business · 26,688 Telegram ranks this channel #88 of 99 here — alongside 98 others — read 12 September 2026
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Антитренды | Алексей Черняк” (@daily10), 10,804 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/daily10.
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.