👨💻У ChatGPT обнаружили ещё один талант, о котором почему-то все молчат. Пробуйте заставить своего ChatGPT петь здесь ❤️ Unitool
😁2

Channel
@unitool
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
40,388subscribers
+2,448 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002983862654 |
|---|---|
| Type | Channel |
| Username | @unitool |
| Description | Новостной Telegram-канал Unitool.ai Пишем о последних обновлениях, делимся полезными промтами на генерации и задаем тренды. По всем вопросам – @unitool_support |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 24 October 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 24 October 2026 |
| On Telegram | t.me/unitool |
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 9 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Oct 2026, 19:21 | 40,388 | +16 |
| 23 Oct 2026, 17:46 | 40,372 | +52 |
| 22 Oct 2026, 16:50 | 40,320 | +76 |
| 21 Oct 2026, 11:34 | 40,244 | +27 |
| 20 Oct 2026, 11:17 | 40,217 | +69 |
| 19 Oct 2026, 13:04 | 40,148 | +88 |
| 18 Oct 2026, 10:15 | 40,060 | +67 |
| 17 Oct 2026, 11:54 | 39,993 | +37 |
| 16 Oct 2026, 14:06 | 39,956 | -2 |
| 15 Oct 2026, 16:27 | 39,958 | +43 |
| 14 Oct 2026, 16:27 | 39,915 | +4 |
| 13 Oct 2026, 05:08 | 39,911 | +10 |
| 8 Oct 2026, 22:56 | 39,901 | +96 |
| 4 Oct 2026, 12:42 | 39,805 | +206 |
| 26 Sept 2026, 06:18 | 39,599 | +48 |
| 19 Sept 2026, 10:01 | 39,551 | +78 |
| 16 Sept 2026, 21:19 | 39,473 | +173 |
| 15 Sept 2026, 01:19 | 39,300 | +83 |
| 13 Sept 2026, 09:21 | 39,217 | +80 |
| 11 Sept 2026, 13:15 | 39,137 | first reading |
179 posts held, back to 7 August 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 136 pages of Telegram’s post history, 20 posts per page.
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 49 of 59 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 October 2026 |
|---|---|
| Posts held | 179 (7 August 2026 – 25 October 2026) |
| Views total | 151,241 |
| Reactions total | 546 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 07:27 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.
Lifetime counters from Telegram’s own channel header, read 25 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.
Measured directly from 39 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.
1,658 reactions across 161 posts, in 7 distinct kinds. The most used accounts for 36.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 600 | 36.2% | |
| custom 5386811745727714189 | 516 | 31.1% | |
| 🤯 | 183 | 11.0% | |
| ⚡ | 171 | 10.3% | |
| 😍 | 112 | 6.76% | |
| 🙈 | 51 | 3.08% | |
| 😈 | 25 | 1.51% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 162 of the 179 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 1,658 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 179 most recent posts we hold, published 7 August 2026 to 25 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @unitool. 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 179 most recent posts we hold for this entry, published 7 August 2026 to 25 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.
👨💻У ChatGPT обнаружили ещё один талант, о котором почему-то все молчат. Пробуйте заставить своего ChatGPT петь здесь ❤️ Unitool
😁2
❗️ Kling 4.0 — теперь в Unitool! Придумайте сцену и превратите её в видео: опишите действие, добавьте фото, персонажей и голоса - и дайте своей истории движение. Что доступно: ✅ Видео длительностью от 3 до 30 секунд. ✅До 10 фото в качестве референсов. ✅До 7 персонажей и предметов — обращайтесь к ним в описании через @Имя. ✅ До 3 голосов по образцу записи. От короткого рекламного сюжета до фантастической сцены - на…
😍4
👨💻Мем: нейросети научились считать количество семян на одном побеге кукурузы Настоящую магию показала связка из ИИ-агента GPT Astra с моделькой SAM ❤️ Unitool
Цифровой эффект ASCII на фотографиях Превращаем обычные снимки в атмосферные кадры с элементами цифрового искусства Для создания: ✅ Заходим в GPT Imagе 2.5 ✅ Прикрепляем фото ✅ Скопируйте и отправьте этот промпт You are a symbolic ASCII overlay generator. IMPORTANT: The original image is LOCKED. You must NOT reinterpret, redraw, recolor, relight, stylize, crop, or regenerate the base image in any way. Your task i…
😍4
👨💻Сохраняем промпт для эскиза тату ❤️ Unitool
😁19
Твой персонаж в ретро-файтинге Превращаем обычные фотографии в пиксельных бойцов из аркадных игр 90-х по этому промпту Для создания: ✅ Заходим в GPT Imagе 2.5 ✅ Прикрепляем фото ✅ Скопируйте и отправьте этот промпт Transform the character and surroundings from the uploaded image into pixel art in the style of a 16-bit retro arcade fighting game. Maintain the character’s recognizability, but redesign their clothing …
⚡7
🤖Роботы Unitree научились СПАСАТЬ ЖИЗНИ — китайцы дропнули новую модельку H2-X Kung Fu Legend Guardian, которая готова сфидить вместо вас Он резво пугает грабителей парой приемов из кунг-фу, легко поднимает автомобиль и даже готов оттолкнуть вас от машины. Надо брать ❤️ Unitool
😁11⚡4
📸Готовимся к Хэллоуину Создаем милые фото в кукольном стиле с героями фильмов ужасов по этому гайду: ✅ Заходим в GPT Imagе 2.5 ✅ Прикрепляем фото и меняем текст в [] ✅ Скопируйте и отправьте этот промпт Используй персонажа с референса как единственный эталон внешности. Сохрани его узнаваемые черты, форму головы, пропорции, анатомию, расцветку, материалы и характерные детали. Не очеловечивай нечеловеческих персонаже…
⚡5🤯3🙈3
👨💻Вот почему в промптах важны запятые ❤️ Unitool
😁21
📸 Фото за пределами рамки Эффект превращает обычные фотографии в объёмные композиции по этому промпту: Для создания: ✅ Заходим в GPT Imagе 2.5 ✅ Прикрепляем фото ✅ Скопируйте и отправьте этот промпт Transform the reference photo into a premium 3D pop-out editorial photograph. Place the original image inside a vertical rectangular photo frame on a warm off-white textured paper background. Make the main subject and f…
😁2
👨💻Нейрослоп генерит в вашей памяти ложные воспоминания — внезапный факт открыли учёные. Они поставили эксперимент, где участникам показывали обычные фото, а потом версии, изменённые ИИ. Люди же путались в деталях и были уверены, что вспоминают всё правильно. Похожий эффект выдавали дипфейки и ИИ-тексты: люди выдавали выдуманные события за реальные. Перед сном ленту не скроллим. ❤️ Unitool
👨💻Dendi мог остановить развитие ИИ — случай произошел на The International 2017 по Dota 2 Легендарный мидер вышел 1х1 на СФах с ботом OpenAI (тогда это еще был непопулярный стартап). Dendi проиграл две катки, а от третьей отказался заявив, что «нужно остановить это насилие». Сам Dendi теперь шутит, что мог остановить ИИ-бум. А экс-сотрудник OpenAI заявил, что выиграв тогда человек, инвесторы бы не вложили такие ог…
😈7🙈2
Showing the 12 most recent of 179 posts we hold for @unitool. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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.
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 24 October 2026 — this entry's latest reading, not the date you are reading this.
“Unitool AI” (@unitool), 40,388 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/unitool.
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.