Channel
@artprompting
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,153subscribers
-2 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003326028711 |
|---|---|
| Type | Channel |
| Username | @artprompting |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 16 August 2026 |
| On Telegram | t.me/artprompting |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 20:34 | 1,153 | -2 |
| 9 Aug 2026, 16:00 | 1,155 | no change |
| 9 Aug 2026, 15:47 | 1,155 | first reading |
8 posts held, back to 30 July 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 1 pageof 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.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 8 (30 July 2026 – 9 August 2026) |
| Views total | 2,844 |
| Reactions total | 47 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 16:00 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.
47 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 46.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 22 | 46.8% | |
| 🔥 | 12 | 25.5% | |
| ❤ | 9 | 19.1% | |
| 🤓 | 2 | 4.26% | |
| 🐳 | 1 | 2.13% | |
| 🤣 | 1 | 2.13% |
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 8 of the 8 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 47reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 30 July 2026 to 9 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.
🎥 Netflix вышел из шкафа И это - "не повестка"). Вчера узнал о том, что практически ВСЕ голливудские студии используют ИИ в производстве. Причем, делается это на фоне громкой критики и возмущений и даже чуть ли не исков, что ИИ надо запретить. Возбуждена даже целая гильдия киноактеров. Но оно и понятно - баснословные гонорары (за что?), дутый бизнес (говорят, что лучшая отмывочная денег мафии) и картинка в картинке…
❤2
Новый Grok Imagine Вышла новая "революционная модель" от Илона Маска, которая рвет всех! Именно так, скорее всего, будут кричать уже завтра блогеры, пишущие рилсы про ИИ для домохозяек. Но нам с вами нужна проверка на практике, а практика показывает, что вышла шляпа. Судите сами - референс не держит, физиология местами вообще никуда. Выкладываю вам изображения, сделанные новой версией Grok Image и Nano Banana 2. Пр…
👍5🤓2❤1🤣1
👙Белье из логотипа Немного не имел возможности делать посты из-за тотальной занятости, но зато компенсирую хорошим промтом это время ). Создаем из ЛЮБОГО логотипа брендовое белье в стиле референсного бренда. Как вам такой поворот?) На самом деле, применение этого промта широкое - от прикола в корпоративных подарках, до расширения мерча. Ловите, ChatGPT Image 2: Transform the uploaded logo into a premium lingerie co…
👍3❤2🔥2
👾Графитовый промт Превращаем любой референс в карандашный рисунок, GPT Image 2: Prompt: A highly expressive graphite pencil portrait on textured fine art drawing paper, 4:5 aspect ratio. Create the drawing with approximately 85–90% completion, intentionally leaving unfinished passages, open contours, construction lines, and visible artistic decisions. The portrait should feel like a museum-quality graphite study r…
👍8
😒 Claude code на локалке и Kimi3 Claude code запустился на Ollama через Qwen. Звучит, как дичь, но зато Opus 5 без списания токенов. В тоже время Kimi 3 K3 вывалили в открытый доступ. Правда, ресурсов у меня не хватит - там уже нужен серверный кластер.) Тем не менее, если кому надо - вот он официально. #ollama #qwen #opus5 #claude ИИшница | Подписаться
❤2
⌨️ Локалка Поставил себе Ollama на съемный SSD. Знаете, для чего? Для того, чтобы в некоторых приложениях, которые я делаю с помощью вайбкодинга, не платить за API. Танцы с бубном с подписками, VPN и т.д. Ну и при отладке приложений съедает много. Так-то работает через терминал, но я накатил Web UI и теперь все в привычной среде. Через нее же можно теперь запускать хоть Claude Code, хоть Open Claw, хоть ChatGPT без …
👍5🔥3
🔥Еще один многослой На этот раз с более гибкими настройками. Создаем постер на любую тематику, например спорт. Хорош для рекламы товаров, мотивирующего визуала и т.д. Хороша как банана (2,3), так и gpt image (1). Вместо скобок вставляем нужное: Prompt: Create a 9:16 editorial poster in the HUMAN FRAGMENTS visual system. Theme: [Theme] Subject: [Subject Description] Action: [Action Description] Scene: [Scene Descri…
❤2🔥2👍1
🚬Рисуем в стиле Gorillaz Помните таких? В общем, копируем стилистику с помощью GPT Image 2, вместо скобок ставим нужное: Two-dimensional alternative character illustration of [CHARACTER], occupying approximately seventy-five percent of the frame in [POSE], with [HAIR] and [EXPRESSION]. Oversized rounded cranium, a short flattened lower face, a narrow jaw, a long thin neck, slightly oversized ears, huge pale oval ey…
🔥5🐳1
Showing the 8 most recent of 8 posts we hold for @artprompting. 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.
Citation-graph rank — 760,490 of 1,549,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“ИИшница” (@artprompting), 1,153 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/artprompting.
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.