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 8 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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
4 measurements spanning 1 day, net -533,297. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 23:03
8
-533,170
7 Aug 2026, 19:58
533,178
-127
7 Aug 2026, 17:45
533,305
no change
7 Aug 2026, 17:35
533,305
first reading
Engagement
18 posts held, back to 25 February 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 4 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
969431.8%
avg views ÷ 8 subscribers
Avg views / post
77,600
11 posts measured
Reaction rate
0.113%
reactions ÷ views · ER floor
Posts in window
11
of 18 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 7 August 2026
Posts held
18 (25 February 2026 – 7 August 2026)
Views total
853,100
Reactions total
966
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 11:48 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
Video runtime
15s
Average length
15s
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
3,326 reactions across 18 posts, in 18 distinct kinds. The most used accounts for 18.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
613
18.4%
👍
575
17.3%
💔
474
14.3%
😍
465
14.0%
❤🔥
389
11.7%
😭
166
4.99%
🍓
165
4.96%
🌚
130
3.91%
👾
88
2.65%
🐳
81
2.44%
💘
53
1.59%
🦄
50
1.50%
💅
38
1.14%
☃
19
0.571%
🆒
10
0.301%
🎅
6
0.18%
🎄
2
0.06%
😎
2
0.06%
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 18 of the 18 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 3,326reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 25 February 2026 to 7 August 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
9
across the posts below
Posts paid on
4
of 18 we hold a reading for · 22%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @GPTooli. 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 18 most recent posts we hold for this entry, published 25 February 2026 to 7 August 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.
پرامپت عکس بارداری در استودیو 🤍📸
Кинематографический черно-белый портрет с использованием модели из загруженного фотореференса. Строго сохранены лицо, пропорции, индивидуальность и естественные черты лица. Без изменений черт лица. Живая текстура кожи, естественные тени, без пластиковой ретуши.
Модель находится в студии. Композиция соответствует референсу: она стоит или сидит в профиль 3/4, одна рука мягко лежит на ж…
🎨 پرامپت عکس دختر در ساحل هنگام غروب ☀️🥺
Фотореалистичный beach lifestyle кадр на закате. Локация: песчаный пляж у моря, люди отдыхают на фоне, линия горизонта ровная, спокойная вода. Небо — яркий “cotton candy” sunset: градиент розовый/персиковый/лавандовый с мягкими облаками.
Композиция и ракурс: полный рост, модель по центру сидит верхом на светло-голубом деревянном ограждении/перилах (пастельный выцветший голуб…
🎨 پرامپت عکس دختر زیر باران 🌈🥰
Вертикальный черно-белый близкий кинематографичный кадр ночного города под дождём: сильное боке городских огней на заднем плане, плотный видимый дождь, люди с зонтами в размытом фоне. Акцент на силуэте женщины, не меняй черты лица с мокрыми волосами и блестящим, усыпанным каплями лаковом плаще— текстура капель на ткани и отражения на мокром асфальте. Женщина оборачивается и смотрит в к…
پرامپت عکس مرد کنار BMW در پمپ بنزین 🚗🌙
Промпт - мужчина со своей BMW на заправке
продолжаем неделю мужских фото.
## Заголовок сцены
Фотореалистичный ночной кадр, вертикальный формат 9:16
## Внешность
- Сохранить лицо на 100% точно так, как на загруженных фото
- Внешность, черты лица и телосложение — полностью перенести с референсных фото, без изменений
- Не добавлять и не менять черты лица
## Одежда и аксессуар…
پرامپت دخترونه با وایب یخیییی|❄️❄️
Use the face from the reference photo and preserve the exact facial identity, proportions, skin tone, and realistic skin texture with visible pores.
Create an ultra-realistic fine-art fashion editorial portrait of an ethereal snow princess, photographed directly overhead in a spacious three-quarter-body composition (knees upward). She lies diagonally across a hand-painted canvas b…
دختر داخل دستگاه چنگکی صورتییی 🙏
Ультра-реалистичная фотосессия девушки в розовом автомате с игрушками
Красивая женщина, чье лицо и личность основаны на предоставленной фотографии. Используйте изображение-образец, чтобы точно воспроизвести черты лица, пропорции, тон кожи и общее сходство девушки. У девушки на фотографии-образце гламурный макияж, пухлые губы и соблазнительное, игривое выражение лица.
Она одета в ко…
🎨 پرامپت عکس پرتره دخترونه گندمزار 🌾
یک پرتره هنری، فضاساز و کاملاً فوتورئالیستی از یک زن ایجاد کنید، بدون هیچ تغییری در ویژگیهای چهره. فرم صورت، چشمها، بینی، لبها، ابروها و هویت چهره باید دقیقاً مطابق تصویر مرجع حفظ شوند.
پرتره بهصورت کلوزآپ از زنی که به حالت چمباتمه در میان دشتی از علفهای بلند، خشک و طلایی نشسته است. علفها تا روی شانههای او امتداد دارند و حس غوطهور بودن در طبیعت را ایجاد میکنند. بخشی از ع…
پرامپت آوردم براتون عکساتونو میبره تو کاور GTA6 و یه تصویر باحال اینجوری میسازه ازتون
پرامپتش:
Transform this image into an official GTA
VI-style promotional poster (3:4 ratio).
Keep the character instantly recognizable,
preserving facial likeness and original pose.
Render as a full-body playable GTA
protagonist from an extreme low-angle
perspective.
Use Rockstar's signature promotional art
style: realistic-but-sty…
😁184❤🔥39😭22👍15💔13👾12☃8🐳7
Showing the 12 most recent of 18 posts we hold for @GPTooli. 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
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“gptooli” (@GPTooli), 8 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/GPTooli.
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.