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Channel

پرامپت هوش مصنوعی

@PromptChat_GPT

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

285,976subscribers

+106,868 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001534464539
TypeChannel
Username@PromptChat_GPT
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live27 October 2026
Measurements held51
Confirmed unchanged1 time, most recently 27 October 2026
On Telegramt.me/PromptChat_GPT

Topic

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 97% 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 the other topics.

Growth

174,509288,381231,4456 August 2026 — 179,108 subscribers7 August 2026 — 174,509 subscribers8 August 2026 — 176,152 subscribers9 August 2026 — 177,510 subscribers10 August 2026 — 179,939 subscribers11 August 2026 — 184,120 subscribers12 August 2026 — 186,929 subscribers13 August 2026 — 189,620 subscribers14 August 2026 — 193,112 subscribers16 August 2026 — 197,699 subscribers17 August 2026 — 199,789 subscribers18 August 2026 — 201,229 subscribers19 August 2026 — 203,338 subscribers20 August 2026 — 203,972 subscribers21 August 2026 — 204,422 subscribers22 August 2026 — 205,884 subscribers24 August 2026 — 208,817 subscribers25 August 2026 — 209,519 subscribers26 August 2026 — 210,715 subscribers27 August 2026 — 212,323 subscribers28 August 2026 — 213,450 subscribers29 August 2026 — 214,282 subscribers30 August 2026 — 215,427 subscribers31 August 2026 — 216,390 subscribers1 September 2026 — 217,430 subscribers2 September 2026 — 218,285 subscribers3 September 2026 — 219,245 subscribers6 September 2026 — 211,440 subscribers9 September 2026 — 236,187 subscribers11 September 2026 — 244,472 subscribers13 September 2026 — 245,815 subscribers15 September 2026 — 247,157 subscribers17 September 2026 — 249,373 subscribers25 September 2026 — 244,343 subscribers3 October 2026 — 278,231 subscribers8 October 2026 — 278,699 subscribers12 October 2026 — 280,061 subscribers14 October 2026 — 279,705 subscribers15 October 2026 — 279,510 subscribers16 October 2026 — 279,286 subscribers17 October 2026 — 279,226 subscribers18 October 2026 — 278,890 subscribers19 October 2026 — 278,583 subscribers20 October 2026 — 288,381 subscribers21 October 2026 — 288,039 subscribers22 October 2026 — 287,782 subscribers23 October 2026 — 287,518 subscribers24 October 2026 — 287,199 subscribers25 October 2026 — 286,853 subscribers26 October 2026 — 286,409 subscribers27 October 2026 — 285,976 subscribers285,9766 August 202627 October 2026
51 measurements spanning 82 days, net +106,868. 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 157,428–305,462 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 51
Measured (UTC)SubscribersChange
27 Oct 2026, 16:44285,976-433
26 Oct 2026, 15:14286,409-444
25 Oct 2026, 16:41286,853-346
24 Oct 2026, 18:07287,199-319
23 Oct 2026, 20:05287,518-264
22 Oct 2026, 22:38287,782-257
21 Oct 2026, 19:20288,039-342
20 Oct 2026, 18:00288,381+9,798
19 Oct 2026, 20:54278,583-307
18 Oct 2026, 19:19278,890-336
17 Oct 2026, 17:18279,226-60
16 Oct 2026, 14:49279,286-224
15 Oct 2026, 11:17279,510-195
14 Oct 2026, 09:50279,705-356
12 Oct 2026, 20:58280,061+1,362
8 Oct 2026, 09:14278,699+468
3 Oct 2026, 22:14278,231+33,888
25 Sept 2026, 07:02244,343-5,030
17 Sept 2026, 07:38249,373+2,216
15 Sept 2026, 09:41247,157first reading

Engagement

994 posts held, back to 5 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 168 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.45%
avg views ÷ 285,976 subscribers
Avg views / post
12,700
337 posts measured
Reaction rate
0.123%
reactions ÷ views · ER floor
Posts in window
337
of 994 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
WindowRolling 30 days · latest post in window 27 October 2026
Posts held994 (5 August 2026 – 27 October 2026)
Views total4,292,570
Reactions total5,261
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Oct 2026, 12:35 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
2m 56s
Average length
22s

Measured directly from 8 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.

Reaction mix

17,139 reactions across 980 posts, in 5 distinct kinds. The most used accounts for 84.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤14,54084.8%
💘1,1076.46%
😍5803.38%
❤‍🔥5593.26%
🥰3532.06%

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 993 of the 994 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 17,288 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 994 most recent posts we hold, published 5 August 2026 to 27 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.

Telegram Stars

Stars received
17
across the posts below
Posts paid on
7
of 994 we hold a reading for · 0.7%
Most on one post
8
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @PromptChat_GPT. 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 994 most recent posts we hold for this entry, published 5 August 2026 to 27 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.

Recent posts

27 Oct 2026, 11:48 UTC≈1,280 views6 reactionsread 27 October 2026
Photo

🤖 با این پرامپت میتونی خودتو به دسته گل تبدیل کنی. If this person were a bouquet, what would they look like? Using the uploaded portrait, create one photorealistic photograph of a distinctive, professionally arranged bouquet inspired by this specific person’s visible appearance. DESIGN A NEW BOUQUET, NOT A RECOLORED TEMPLATE Study the portrait’s most distinctive visual qualities: shapes, lines, hair texture, contr…

❤6

27 Oct 2026, 10:17 UTC≈3,110 views15 reactionsread 27 October 2026
Photo

🤖پرامپت مستربین: Create a cinematic portrait of the person in the uploaded photo standing beside animated Mr. Bean inside his familiar London world. IDENTITY Use the uploaded photo as the identity reference for the human only. Preserve their recognizable facial features, facial proportions, age, skin tone, hairstyle, and gender presentation. Keep realistic skin texture, subtle imperfections, and natural facial asym…

❤11😍4

27 Oct 2026, 07:37 UTC≈4,670 views13 reactionsread 27 October 2026
Photo

🤖 پرامپت دخترونه تو جنگل ☘️ Фотореалистичное селфи на вытянутую руку, телефон не виден в кадре. Стильный выразительный макияж, длинные ресницы, аккуратные стрелки и нюдовые глянцевые губы. Волосы собраны в высокий хвост, свободные пряди обрамляют лицо. На ней чёрный лонгслив и белый жилет без рукавов. Локация — осенний парк с голыми деревьями и опавшей листвой на земле. Естественный прохладный свет, спокойная приглу…

❤13

26 Oct 2026, 18:26 UTC≈7,630 views13 reactionsread 27 October 2026
Photo

🤖 پرامپت دخترونه 🔥 Сохрани внешность девушки с референса без изменений. Фотореалистичное селфи на iPhone 17 Pro, экстремально крупный план с нижнего ракурса. Девушка сильно наклоняется к камере, руки вытянуты вниз вправо. Длинные прямые волосы с объёмом у корней и мягко подкрученными концами обрамляют лицо. Слегка загорелая кожа, макияж в нюдовых тонах, губы оттенка пыльной розы. Уверенный кокетливый взгляд, губы сл…

❤13

26 Oct 2026, 17:14 UTC≈8,130 views14 reactionsread 27 October 2026
Photo

🤖 پرامپت دخترونه ❤️ Фотореалистичный fashion-портрет девушки, сохрани внешность с референса 1:1. Она позирует у белой каменной балюстрады в роскошном французском парке, руки раскинуты в стороны, голова слегка наклонена, взгляд направлен в камеру. Оъёмные волосы с мягкими волнами, естественный макияж. Чёрное облегающее платье с длинными рукавами и драпировкой по фигуре. На фоне симметричные клумбы, подстриженные куст…

❤11💘3

26 Oct 2026, 16:15 UTC≈8,240 views17 reactionsread 27 October 2026
Photo

🤖 پرامپت لگویی واسه پسرا 🧱 Transforme a pessoa da foto em uma minifigura LEGO hiper-realista totalmente feita de metal cromado espelhado. Preserve fielmente a identidade da pessoa, adaptando seus traços faciais para o estilo LEGO: olhos, sobrancelhas, boca, expressão e características visuais devem ser claramente inspirados na pessoa original. O cabelo deve manter o mesmo penteado da pessoa, mas recriado em metal cr…

❤17

26 Oct 2026, 14:43 UTC≈8,560 views11 reactionsread 27 October 2026
Photo

🤖 پرامپت دخترونه ⚡️ iPhone 17 Pro Max photo, rear camera, vertical, low candid angle, warm indoor ambiance. A young woman leaning down toward the camera inside a cozy restaurant or café with glowing golden ceiling lights and angular geometric light fixtures softly blurred in the background, large green leafy plant on the left. She wears an oversized black leather biker jacket with a silver zipper, worn over a grey d…

❤8🥰3

26 Oct 2026, 13:49 UTC≈8,430 views15 reactionsread 27 October 2026
Photo

🤖 پرامپت کاپلی خاص 👀 Фотореалистичный кинематографичный портрет пары в тёмной воде, снятый крупным планом сверху. Девушка и мужчина лежат лицом друг к другу, их мокрые волосы расплываются по поверхности, кожа покрыта каплями воды. Спокойные, глубокие взгляды, лица расположены очень близко, почти соприкасаясь. Монохромная холодно-синяя цветокоррекция, глубокие тени, электрические голубые блики на воде и коже, тёмный …

❤15

26 Oct 2026, 12:22 UTC≈8,540 views13 reactionsread 27 October 2026
Photo

🤖 پرامپت سلفی دخترونه تو برف ❄️ Фотореалистичное зимнее селфи крупным планом. Сохрани внешность девушки с референса 1:1. Она укутана в серый объёмный шарф и тёмную зимнюю куртку, голова покрыта капюшоном. На ресницах, бровях, шарфе и одежде лежат мелкие снежинки, кончик носа слегка покраснел от мороза. Выразительные глаза, густые брови, объёмные губы с розовым матовым оттенком. Лёгкая улыбка, нежный взгляд в камеру.…

❤13

26 Oct 2026, 11:25 UTC≈8,750 views18 reactionsread 27 October 2026
Photo

🤖 پرامپت دخترونه تو کوهستان برفی 🤩 Snowy mountain terrace at daytime, wooden table with breakfast plates and cups, blue cushioned chairs, dramatic cloudy sky and mountain peaks in background. Model sitting sideways on the terrace chair, legs crossed, camera framed mid-thigh, slight back arch emphasizing waist and hip line, one hand holding takeaway hot chocolate cup with marshmallows. Outfit: oversized white fluffy…

❤12💘3😍3

26 Oct 2026, 09:58 UTC≈9,020 views19 reactionsread 27 October 2026
Photo

🤖 پرامپت عکس با دسته گل 🌹 A natural vertical smartphone mirror selfie of a young adult woman sitting on a wooden chair in a cozy, neutral-toned room. She has long, slightly tousled dark wavy hair, soft curtain bangs, brown eyes, thick eyebrows, and minimal everyday makeup. Her head tilts gently toward a large bouquet of deep burgundy red roses, with a small, relaxed smile visible just above the flowers. She wears a…

❤15🥰3💘1

26 Oct 2026, 09:01 UTC≈9,020 views17 reactionsread 27 October 2026
Photo

🤖 پرامپت سلفی دخترونه 🔥 Создай живое кинематографичное селфи на фронтальную камеру смартфона, крупный план с лёгким ракурсом снизу. Сохрани внешность девушки с референса 1:1, не изменяя черты лица. Девушка на фоне высоких деревьев и насыщенно-голубого неба. Волосы свободно развеваются, отдельные пряди обрамляют лицо. Прямой взгляд в камеру, естественное расслабленное выражение. Лёгкий сияющий макияж, аккуратные бров…

❤14🥰3

Showing the 12 most recent of 994 posts we hold for @PromptChat_GPT. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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 27 October 2026 — this entry's latest reading, not the date you are reading this.

“پرامپت هوش مصنوعی” (@PromptChat_GPT), 285,976 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/PromptChat_GPT.

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.