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 16 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
13 measurements spanning 38 days, net -34. 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 1,963–2,035 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 09:38
1,971
-2
11 Sept 2026, 20:38
1,973
-11
7 Sept 2026, 15:37
1,984
-8
2 Sept 2026, 11:38
1,992
-5
30 Aug 2026, 12:16
1,997
-3
27 Aug 2026, 08:06
2,000
-1
24 Aug 2026, 12:49
2,001
-5
21 Aug 2026, 03:42
2,006
-12
18 Aug 2026, 07:42
2,018
-6
15 Aug 2026, 09:23
2,024
-3
12 Aug 2026, 07:31
2,027
+21
9 Aug 2026, 01:31
2,006
+1
8 Aug 2026, 03:47
2,005
first reading
Engagement
12 posts held, back to 5 November 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 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 12 posts for this entry, the most recent from 4 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
12s
Average length
12s
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
165 reactions across 12 posts, in 26 distinct kinds. The most used accounts for 24.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
41
24.8%
🔥
37
22.4%
🥰
22
13.3%
☃
10
6.06%
🖕
9
5.45%
❤🔥
7
4.24%
🌚
5
3.03%
🦄
5
3.03%
🆒
3
1.82%
🍌
3
1.82%
🍓
3
1.82%
🤣
3
1.82%
👍
2
1.21%
👎
2
1.21%
🤩
2
1.21%
🌭
1
0.606%
🎄
1
0.606%
🏆
1
0.606%
👏
1
0.606%
💊
1
0.606%
6 further kinds
6
3.64%
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 12 of the 12 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 165 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 5 November 2025 to 4 July 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
2
across the posts below
Posts paid on
2
of 12 we hold a reading for · 17%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @RefGenAI. 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 12 most recent posts we hold for this entry, published 5 November 2025 to 4 July 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.
Добавили новый эффект в бот – ФОТО НА ЭМПАЙР СТЕЙТ БИЛДИНГ 🗽
📌 Можно бесплатно сделать одну генерацию
Те самые руферы залезли на шпиль Эмпайр-стейт-билдинг и взорвали интернет 👀
Нажимаешь СЮДА → Активируешь генерацию → Кидаешь свое фото → И вот ты стоишь на шпиле небоскреба в Нью-Йорке 🔥 Выглядит как реальный кадр.
🎁 Первая генерация — полностью БЕСПЛАТНО:
Генерим тут.
Добавили в бот два новых режима – MEDIUM и PRO
Попробуй их бесплатно, в боте под таким же сообщением даем 50 бесплатных токенов 😏
Эти режимы очень круто меняют лица / добавляют новых людей на фото или редактируют текст с окружением.
Они имеют куда выше качество, чем стандартный режим. Также можно настроить размер фото от 1к до 4к.
Забираем токены тут:
@ref_generate_bot
🖼👨🦳Восстанавливаем твоё старое фото
→ Отправляем свое фото в боте @ref_generate_bot
→ Вставляем промпт как описание
→ Отправляем сообщение
→ Ожидаем результат
❗️Важно повернуть фотографию так, чтобы все люди были на ней перпендикулярны земле
Нажми, чтобы скопировать промпт👇
восстанови это фото убрав все царапины потёртости и шероховатости, верни яркие и насыщенные цвета и сделай максимально реалистичный результат…
🎉 Поздравляем тебя с Новым годом!
Итак, пара подарков:
🎁 Подарок №1
🔥 Х2 во ВСЕХ пакетах токенов. Например, покупаете 1800 токенов – приходит 3600 (работает со всеми пакетами). Акция действует до 2 января 2026.
🎁 Подарок №2
100 токенов бесплатно по кнопке в боте (должно было придти похожее сообщение)
А еще, напиши в боте эту команду ➡️ /newyear, и сможешь сгенерировать открытку с собой или близкими!
👕✨Замени одежду на себе
→ Отправляем свое фото (их можно отправлять по отдельности в одном сообщении) в боте @ref_generate_bot
→ Вставляем промпт как описание
→ Отправляем сообщение
→ Ожидаем результат
Нажми, чтобы скопировать промпт👇
замени одежду у парня на эту одежду она оверсайз XXL
Генерировать такие фото можно здесь: ➡️ @ref_generate_bot
🤜🏻🤛🏾Поменяй свой цвет кожи за один промпт
→ Отправляем свое фото в боте @ref_generate_bot
→ Вставляем промпт как описание
→ Отправляем сообщение
→ Ожидаем результат
❗️Бот не понимает оскорбительных N-слов, поэтому рекомендуем использовать "африканцы" или "чернокожие"
Нажми, чтобы скопировать промпт👇
сделай его немного африканцем, чтобы всё ещё можно было узнать оригинального человека, но и понять что он африканец
…
✈️🌇Сфоткайся рядом с достопримечательностью
→ Отправляем свое фото в боте @ref_generate_bot
→ Вставляем промпт как описание
→ Отправляем сообщение
→ Ожидаем результат
Нажми, чтобы скопировать промпт👇
сделай будто он делает сэлфи на фоне Парижа при этом одет в белую майку
Генерировать такие фото можно здесь: ➡️ @ref_generate_bot
💥🚙Разбиваем тачку твоего друга
→ Отправляем свое фото в боте @ref_generate_bot
→ Вставляем промпт как описание
→ Отправляем сообщение
→ Ожидаем результат
Нажмите, чтобы скопировать промпт👇
разбей эту бэху в хлам будто она попала в аварию и на капоте крупным граффити написано ЛОХ
Генерировать такие фото можно здесь: ➡️ @ref_generate_bot
🤯🎆Фоткаем тебя вместе с любой знаменитостью
→ Отправляем фото себя и знаменитости (двумя картинками в одном сообщении) в боте @ref_generate_bot
→ Вставляем промпт как описание
→ Отправляем сообщение
→ Ожидаем результат
Нажмите, чтобы скопировать промпт👇
сделай будто это их общее фото / сэлфи и они на нём обнимаются как друзья
Генерировать такие фото можно здесь: ➡️ @ref_generate_bot
📸 🔥Делаем фото с тобой и горящей машиной
→ Отправляем свое фото в боте @ref_generate_bot
→ Вставляем промпт как описание
→ Отправляем сообщение
→ Ожидаем результат
Нажмите, чтобы скопировать промпт👇
A cinematic night scene showing a person standing confidently in front of a burning car. Person wears a dark oversized sweatshirt, jeans, and sneakers, holding a cigarette as smoke rises around her face. The flames cast…
📸 Делаем себя лысым
→ Отправляем свое фото в боте @ref_generate_bot
→ Вставляем промпт как описание
→ Отправляем сообщение
→ Ожидаем результат
Нажмите, чтобы скопировать промпт👇
Create a highly realistic version of this exact person, but make them bald. Keep the same facial features, proportions, skin tone, lighting, and overall composition completely unchanged. Do not alter the background, clothing, expression, o…
🥰5☃4❤4🔥2👍1
Showing the 12 most recent of 12 posts we hold for @RefGenAI. 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.
Mentions
Named by 1 registered channel — 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.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“RefGen AI – Канал” (@RefGenAI), 1,971 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/RefGenAI.
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.