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 22 September 2026 and assigned it the closest of 31 fixed categories, at 41% 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
10 measurements spanning 66 days, net -40. 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 357–409 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Oct 2026, 11:09
363
-5
2 Oct 2026, 15:14
368
-8
17 Sept 2026, 06:00
376
-4
9 Sept 2026, 10:00
380
-2
30 Aug 2026, 21:44
382
-4
23 Aug 2026, 13:59
386
-10
15 Aug 2026, 17:43
396
-5
8 Aug 2026, 13:10
401
-2
8 Aug 2026, 05:47
403
no change
7 Aug 2026, 17:04
403
first reading
Engagement
7 posts held, back to 3 August 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 8 February 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
9s
Average length
9s
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
14 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 35.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5
35.7%
👎
4
28.6%
🥰
2
14.3%
👍
1
7.14%
💋
1
7.14%
🤩
1
7.14%
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 6 of the 7 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 3 August 2023 to 8 February 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.
🎆Дорогие дамы и господа, минутку вашего внимания
Приглашаю вас посетить кулинарный канал.
Делюсь с вами:
‣ Лайфхаками на кухне
‣ Подробными рецептами
‣ Полезными советами в быту
«Сначала — рецепт. Затем — ужин. И только потом — всё остальное…»
Перейти в канал 👉 @retsepty9
Ребят, подготовили для вас кайфовый мини-тутор по тому как создавать стикеры 💕
🔡 Шаг 1. Загружаем фото в ChatGPT и вставляем этот промпт
Преобразуй изображение в набор из 6 стикеров в стиле [укажите нужный стиль] Персонаж должен иметь [опишите важные для вас элементы] В виде сетки 3х2, с цветом расцветки той, что на фото. Включи следующие позы: [укажите нужные] Фон на фото должен отсутствовать, изображение сделать в…
Как повторить таких милых животных
Идем в syntxaibot -> дизайн с ии -> nano banana pro -> пишем промпт:
Коллекция милых стикеров с животными, сделанными из войлока: медвежонок в зелёном шарфе с красным шариком, пингвинёнок в маленькой шапочке, пушистый зайчик с морковкой, белочка с желудём, мышонок с кусочком сыра, котёнок с клубком ниток, лисёнок с венком из листьев. Каждый персонаж выполнен из мягкой шерстяной ше…
Мультяшные стикеры похожи на вас😊
Идем в НейроБот -> дизайн с ии -> nano banana pro -> отправляем свое фото -> (настройки - nano banana pro - 2К - 1*1) -> пишем промт:
Создай изображение с девятью мультяшными 3D-стикерами, основанными на фотографии человека.
Расположи стикеры на листе бумаги в сетке 3×3: три ряда по три стикера. Все стикеры одинакового размера, с равномерными промежутками между ними.
Сохрани внешн…
Делаем стикеры ко Дню влюблённых в нейросети
Как повторить:
Идем в syntxaibot -> меню -> дизайн с ии -> nano banana pro -> пишем промт:
Коллекция романтических скрап-элементов в винтажном стиле, выполненных в технике мягкой акварели и гуаши. Все элементы изображены без чёрных или белых контуров, без обводки, без жёстких краёв и без белой каймы — края плавные, с естественным размытием, как будто нарисованы кистью п…
6 эмоций за 1 клик: превращаем фото в эмодзи-грид с Nano Banana
Хотите увидеть, как вы или ваш персонаж выражает шесть разных эмоций подряд? Этот промпт создаёт идеальный эмоциональный спектр за одну генерацию.
Как работает:
Загружаете фото в Nano Banana Pro
Копируете промпт:
Create a 3*2 grid and generate these six expressions for the person using the given emojis 😀😁😗😛🤪🤨. Make it in a 16:9 aspect ratio.
Получае…
Showing the 7 most recent of 7 posts we hold for @EMODZI0. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 12 October 2026 — this
entry's latest reading, not the date you are reading this.
“Эмодзи и Стикеры нейросетью” (@EMODZI0), 363 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/EMODZI0.
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.