Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 22 August 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 why it has no browse page of its own yet.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
45 measurements spanning 77 days, net -1,926. 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 97,711–100,215 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)
Subscribers
Change
23 Oct 2026, 16:01
98,000
-35
22 Oct 2026, 17:18
98,035
-77
21 Oct 2026, 15:41
98,112
-24
20 Oct 2026, 09:17
98,136
+9
19 Oct 2026, 10:08
98,127
-10
18 Oct 2026, 13:29
98,137
-8
17 Oct 2026, 15:01
98,145
-35
16 Oct 2026, 13:05
98,180
-36
15 Oct 2026, 15:28
98,216
+5
14 Oct 2026, 15:16
98,211
-14
13 Oct 2026, 05:27
98,225
-59
8 Oct 2026, 19:56
98,284
-143
4 Oct 2026, 06:20
98,427
-169
25 Sept 2026, 13:15
98,596
-136
17 Sept 2026, 06:19
98,732
-4
15 Sept 2026, 06:58
98,736
-80
13 Sept 2026, 12:40
98,816
+6
11 Sept 2026, 13:40
98,810
-125
9 Sept 2026, 00:57
98,935
-99
5 Sept 2026, 18:42
99,034
first reading
Engagement
40 posts held, back to 1 April 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 160 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.45%
avg views ÷ 98,000 subscribers
Avg views / post
6,330
10 posts measured
Reaction rate
0.59%
reactions ÷ views · ER floor
Posts in window
10
of 40 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 23 October 2026
Posts held
40 (1 April 2026 – 23 October 2026)
Views total
63,250
Reactions total
373
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 03:06 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
≈1,050
Videos
≈146
Links
≈682
Lifetime counters from Telegram’s own channel header, read 24 October 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.
Reaction mix
1,458 reactions across 40 posts, in 35 distinct kinds. The most used accounts for 24.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
354
24.3%
👍
281
19.3%
🔥
196
13.4%
❤🔥
166
11.4%
🎉
84
5.76%
✍
69
4.73%
🥰
44
3.02%
🏆
34
2.33%
💯
30
2.06%
👌
23
1.58%
😭
18
1.23%
😱
16
1.10%
🤩
16
1.10%
😍
15
1.03%
🙏
12
0.823%
🤝
12
0.823%
👏
9
0.617%
👨💻
8
0.549%
👻
8
0.549%
🦄
8
0.549%
15 further kinds
55
3.77%
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 40 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 1,458 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 1 April 2026 to 23 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
19
across the posts below
Posts paid on
15
of 40 we hold a reading for · 38%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @yes_ai_official. 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 40 most recent posts we hold for this entry, published 1 April 2026 to 23 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.
🚀 Вышло обновление Yes AI WEB 2.8
Добавлена новая нейросеть Kling AI 4.0
Ссылка: https://yesai.su/ru/kling
Новый Kling может создавать ролики длительностью до 30 секунд, а также поддерживает соотношение сторон 21:9.
Наконец-то переходы между стартовым и финальным кадрами стали достаточно органичными.
Хотя официально об этом не заявлялось, на практике Kling стал лучше генерировать диалоги на русском языке. Также мож…
💡 Недавно мы открыли доступ к новой нейросети для увеличения изображений Image Upscaler
Напомним, она является универсальной, т.е. может увеличивать размер и качество не только генераций из нейросетей, но и любых фотографий, которые вы в нее загрузите.
Кстати, теперь она может увеличивать фото до разрешения 5K.
Вам может пригодиться инструкция по работе с этой нейросетью...
👉 Ссылка на статью
・・・・・・・・・・・・・
📖 Для…
🎬 Как освоить Veo 3.1 и собрать видео без лишней путаницы
Если вы пока только присматриваетесь к нейросети или уже пробовали, но не поняли, как получить нужный результат, — начните с нашего гайда.
📖 Новая статья — "Всё, что нужно знать про нейросеть Veo 3.1"
Разбираем путь от знакомства с интерфейсом до создания длинных роликов:
— как пользоваться Veo 3 в веб-интерфейсе Yes AI
— как создать видео: пошаговые инстр…
🚀 Вышла новая версия Yes AI WEB 2.7 https://yesai.su
Новая нейросеть [Image Upscaler] — Увеличение фотографий и изображений до 2K и 4K. Функция апскейла через Image upscaler добавлена в качестве дополнительной опции во все нейросети для генерации изображений, т.е. теперь функция увеличения доступна даже в тех нейросетях, которые сами не умеют делать апскейл.
📖 Для разработчиков опубликовали [API Image upscaler]
・・…
💡 ChatGPT умеет строить графики, диаграммы и блок-схемы
Данная функция очень полезна для анализа и визуализации данных, но этим она не ограничивается.
👉 Рекомендуем прочитать подробный обзор в нашей новой статье
🚀 Обновления в Yes AI WEB 2.6
— Добавлена нейросеть Nano Banana 2.1. Она стала дешевле [см. прайс], лучше понимает промты и точнее следует указаниям.
⚠️ ВАЖНО! Если вы используете наш API для Nano Banana, то рекомендуем в запросах переключить версию на 'v.2.1' - [см. документацию]
— Добавлена возможность продления видео. Теперь вы можете продлить видео, созданные в нейросетях, которые поддерживают эту функцию: Klin…
🍌 Опубликовали новую инструкцию по нейросети Nano Banana
В статье показываем, как управлять лицом, одеждой, позой и фоном через типы референсов. Для экспериментов опубликовали готовые промты.
📖 Перейти к разбору Nano Banana с примерами
・・・・・・・・・・・・・
🎨 Попробовать Nano Banana — https://yesai.su/ru/nanobanana
📖 Подробная инструкция по работе с нейросетью GPT Images
Мы разобрали все возможности нейросети: генерацию по промтам и референсам, обработку генераций и пр.
Особое внимание уделили вопросу выбора типов референсов - эта функция сильно упростит вам жизнь.
👉 Рекомендуем к прочтению всем, кто генерирует изображения в нейросетях [открыть статью]
・・・・・・・・・・・・・
📌 Доступ к GPT Images - https://yesai.su/ru/gptimages
🚀 Обновление Yes AI WEB 2.5 - yesai.su
— Анимация готовых изображений из любой нейросети. Нажмите «Анимировать» в окне просмотра сгенерированной картинки, выберите Kling или Veo — изображение автоматически прикрепится в скрепку в соответствующем чате. Останется описать желаемое движение и подать задание.
— Графики и диаграммы прямо в ответах. Добавили отображение схем, графиков и диаграмм в чатах с GPT, построить и…
📲 Теперь вы можете добавить ярлык-приложение Yes AI на свой iPhone / iPad или устройство с Android
Это полезно, когда требуется быстрый доступ к нейросетям.
💡 Ярлык-приложение — это иконка, которая будет отображаться прямо на рабочем столе вашего устройства наряду с приложениями, установленными из Apple Store / Play Market.
👉 Мы написали [пошаговую инструкцию]
🚀 Опубликована новая версия Yes Ai WEB 2.4 — https://yesai.su
На этот раз у нас ряд полезных функций:
1️⃣ Добавлена поддержка разных типов референсов для Nano Banana и GPT Images — лицо, персонаж, поза, одежда, фон, стиль и элементы.
Теперь для каждой загруженной картинки можно указать, что именно нейросеть должна с нее взять. Например, с первой фото - рефенерс одежды, со второй - референс персонажа и т.д. Это мож…
✴️ OpenAI действительно решила задачу тысячелетия или это обман?
Помните, недавно компания OpenAI объявила о том, что ее нейросеть решила задачу тысячелетия, связанную с уравнениями Навье — Стокса?
Все сильнее разгорается скандал вокруг этой темы. В частности, сотрудники Anthropic подозревают, что нейросеть OpenAI просто "подсмотрела" их наработки, ведь они пользовались Codex для проведения части своих исследований…
👍9🥰4😱4✍3🤣2😁2
Showing the 12 most recent of 40 posts we hold for @yes_ai_official. 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.
Posts edited after publishing
@yes_ai_official edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
30 August 2026
Most recent edit
2 September 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Актуальные новости из мира нейросетей и обновления в проекте Yes Ai73%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 40 most recent posts we hold, published 1 April 2026 to 23 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 2 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.
Read from Telegram’s recommendation API, most recently 22 August 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.
Colibri | ИИ боты @Colibri_bots · 134,292 Telegram ranks this channel #9 of 48 here — alongside 47 others — read 22 August 2026
TurboText AI. Нейросети @turbotext_ai · 44,745 Telegram ranks this channel #11 of 80 here — alongside 79 others — read 27 August 2026
MainConnect @main_connect · 28,366 Telegram ranks this channel #19 of 65 here — alongside 64 others — read 20 September 2026
Stable Diffusion News | Нейросети @StableDiffusionBest · 32,402 Telegram ranks this channel #40 of 84 here — alongside 83 others — read 4 September 2026
SYNTX FAMILY @syntxfamily · 323,860 Telegram ranks this channel #44 of 93 here — alongside 92 others — read 22 August 2026
Три Богатыря @tribogatyraaa · 32,471 Telegram ranks this channel #57 of 64 here — alongside 63 others — read 7 September 2026
This channel appears in 6 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 23 October 2026 — this
entry's latest reading, not the date you are reading this.
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.