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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
58 measurements spanning 92 days, net +66. 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 14,431–14,563 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
6 Nov 2026, 02:56
14,525
-1
4 Nov 2026, 22:48
14,526
-4
4 Nov 2026, 00:30
14,530
-2
3 Nov 2026, 00:36
14,532
-4
1 Nov 2026, 21:11
14,536
-12
31 Oct 2026, 23:50
14,548
+8
30 Oct 2026, 01:20
14,540
+2
29 Oct 2026, 00:19
14,538
-8
27 Oct 2026, 20:20
14,546
+13
26 Oct 2026, 21:29
14,533
+10
25 Oct 2026, 21:39
14,523
-3
24 Oct 2026, 20:50
14,526
+1
24 Oct 2026, 00:17
14,525
+1
23 Oct 2026, 03:35
14,524
-3
22 Oct 2026, 05:40
14,527
-5
20 Oct 2026, 20:09
14,532
+7
19 Oct 2026, 18:31
14,525
-6
18 Oct 2026, 17:18
14,531
+3
16 Oct 2026, 21:35
14,528
-5
15 Oct 2026, 23:56
14,533
first reading
Engagement
39 posts held, back to 8 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
37.0%
avg views ÷ 14,525 subscribers
Avg views / post
5,370
5 posts measured
Reaction rate
1.73%
reactions ÷ views · ER floor
Posts in window
5
of 39 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 1 November 2026
Posts held
39 (8 August 2025 – 1 November 2026)
Views total
26,870
Reactions total
465
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 05:52 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
94
Videos
9
Links
202
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. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
4,395 reactions across 39 posts, in 46 distinct kinds. The most used accounts for 24.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,081
24.6%
😁
957
21.8%
👍
491
11.2%
🔥
384
8.74%
💯
365
8.30%
❤🔥
291
6.62%
🆒
114
2.59%
🤣
94
2.14%
🦄
72
1.64%
🤯
64
1.46%
🗿
60
1.37%
👎
56
1.27%
🤔
47
1.07%
🫡
37
0.842%
🥴
31
0.705%
💘
30
0.683%
🐳
24
0.546%
🌚
18
0.41%
🤪
16
0.364%
🥰
16
0.364%
26 further kinds
147
3.34%
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 39 of the 39 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 4,395 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 8 August 2025 to 1 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
49
across the posts below
Posts paid on
14
of 39 we hold a reading for · 36%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aihappens. 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 39 most recent posts we hold for this entry, published 8 August 2025 to 1 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: 1 of 5 posts held from the last 30 days (20.0%) 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).
я очень не люблю дихотомию новостей в целом, и про ии особенно. либо он сейчас захватит весь мир и надо срочно покупать все, на чем написано ai (или увольнять всех). либо акции упали, пузырь лопнул и технология внезапно нахер никому не нужна.
эта неделя как раз во втором режиме. alphabet после отчета упал на 12,6%, на следующий день nasdaq потерял 2,9%, reddit и intel примерно по минус 29%. а ft пишет, что openai ур…
клод массово банит аккаунты в рф через процедуру KYC. если вам пришла проверка - ggwp.
вот вам топ факторов, которые влияют на риск блокировки на основе китайского интернета:
1. не прыгайте между ip и странами. выберите один стабильный vpn-сервер и пользуйтесь им постоянно.
2. проверьте, что весь трафик claude идёт через vpn. настройте подключение для всего устройства и проверьте утечки dns и webrtc.
3. пользуйте…
ну как, чувствуете, насколько чаще большие компании начали падать с развитием ии? я тут сел и выписал, что случилось только за последние полторы недели.
в ночь на 12 октября кто-то удаленно включил разморозку в холодильниках нескольких сотен французских супермаркетов: intermarché, carrefour, super u, monoprix. в одном интермарше в нормандии в камере было 80 градусов, оплавилось оборудование. глава mousquetaires гово…
блин, какой маск конечно машина.
знаете, я глубоко убежден, что сууупер важное свойство для любого человека - двигаться с кайфом. не пытаться всегда оптимизировать деньги / власть или что-то подобное. а просто делать с кайфом! вот маск делает. запускает огнеметы, такие тачки, а из чего-то рождаются проекты вроде space x.
и интересно, что человек с такой ментальностью зарабатывает больше всех расчетливых Безосов, Б…
короче, я очень тупой.
я завёл новостной телеграм-канал @aihappens_news и решил, что главная метрика, которую буду оптимизировать, это шеринг постов. если люди хотят чем-то поделиться, значит, делаем что-то интересное. логично же.
ну и смотрю на статистику. у всех постов ноль пересылок. вообще у всех.
ещё специально настроил бота, чтобы он анализировал, сколько в новостном канале аудитории не из ai happens. а она …
мне кажется, для работы с ии один из самых важных навыков, которые у людей быстро деградирует - внимательно читать то, что он тебе написал, включая длинные тексты.
не пробежать глазами и поймать общий вайб. а разобраться, что именно ты сейчас одобряешь.
ты обсуждаешь с моделью задачу, она пишет тз. потом выполняет работу и присылает результат. и то и другое нужно внимательно проверить.
в тз надо разобраться: модел…
я читаю оч много новостей и обсуждений про ЫЫ, но писать их сюда в канал - какой-то скам.
я сделал отдельный канал @aihappens_news, в него мой АГЕНТ будет писать новости.
цепочка там такая:
1) источник, который я читаю, чет опубликовал - я ревьюю (возможно, пока) - публикуется в канал
2) я нашел чет новое - кидаю АГЕНТУ, он пишет и публикует.
источники (может хотите подписаться на что-то)
https://share.nevel.ai…
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.
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 продуктивностью.
а в конце был блиц: какие качества нужны человеку после agi.
люди, которые на фронтире технологической революции ответили:
любопытство.
спокойствие.
sense of purpose.
умение…
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.
❤7🔥4
Signed Alexey Hahunov
Showing the 12 most recent of 39 posts we hold for @aihappens. 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 4 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.
Matskevich - brains, love and robots @Matskevich · 25,023 Telegram ranks this channel #4 of 98 here — alongside 97 others — read 14 September 2026
e/acc @cryptoEssay · 63,694 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 21 August 2026
Dumik @dumik · 21,776 Telegram ranks this channel #12 of 98 here — alongside 97 others — read 21 September 2026
Daily Reminder @justakindreminder · 36,357 Telegram ranks this channel #15 of 98 here — alongside 97 others — read 1 September 2026
Neural Shit @NeuralShit · 54,660 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 24 August 2026
Малоизвестное интересное @theworldisnoteasy · 74,240 Telegram ranks this channel #15 of 94 here — alongside 93 others — read 19 August 2026
Сиолошная @seeallochnaya · 81,039 Telegram ranks this channel #16 of 97 here — alongside 96 others — read 19 August 2026
GPT/ChatGPT/AI Central Александра Горного @aioftheday · 44,575 Telegram ranks this channel #17 of 97 here — alongside 96 others — read 29 August 2026
эйай ньюз @ai_newz · 98,218 Telegram ranks this channel #17 of 94 here — alongside 93 others — read 16 August 2026
Ai molodca @strangedalle · 47,590 Telegram ranks this channel #19 of 94 here — alongside 93 others — read 27 August 2026
Метаверсище и ИИще @cgevent · 53,530 Telegram ranks this channel #19 of 92 here — alongside 91 others — read 25 August 2026
TechSparks @techsparks · 46,767 Telegram ranks this channel #21 of 97 here — alongside 96 others — read 27 August 2026
addmeto @addmeto · 71,985 Telegram ranks this channel #25 of 95 here — alongside 94 others — read 20 August 2026
Not Boring Tech @notboring_tech · 21,103 Telegram ranks this channel #26 of 91 here — alongside 90 others — read 26 September 2026
Kali Novskaya @rybolos_channel · 19,138 Telegram ranks this channel #28 of 93 here — alongside 92 others — read 4 October 2026
Миша, давай по новой @misha_davai_po_novoi · 19,106 Telegram ranks this channel #28 of 95 here — alongside 94 others — read 4 October 2026
Kostya Gorsky’s Channel @desprod · 25,634 Telegram ranks this channel #28 of 97 here — alongside 96 others — read 13 September 2026
Силиконовый Мешок @prompt_design · 92,784 Telegram ranks this channel #29 of 96 here — alongside 95 others — read 18 August 2026
Техасский Вестник @starbasepost · 19,242 Telegram ranks this channel #30 of 92 here — alongside 91 others — read 4 October 2026
gonzo-обзоры ML статей @gonzo_ML · 24,681 Telegram ranks this channel #33 of 93 here — alongside 92 others — read 16 September 2026
Ваня Замесин @zamesin · 50,087 Telegram ranks this channel #33 of 97 here — alongside 96 others — read 25 August 2026
Denis Sexy IT 🤖 @denissexy · 140,405 Telegram ranks this channel #34 of 95 here — alongside 94 others — read 13 August 2026
Бурый @sburyi · 20,224 Telegram ranks this channel #38 of 93 here — alongside 92 others — read 4 October 2026
Olymarkes Daily @markesdaily · 27,646 Telegram ranks this channel #38 of 85 here — alongside 84 others — read 9 September 2026
This channel appears in 52 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“AI Happens” (@aihappens), 14,525 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/aihappens.
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.