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 95% 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
81 measurements spanning 67 days, net +129. 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, most recent 20 of 81
Measured (UTC)
Subscribers
Change
13 Oct 2026, 18:09
30,036
+3
10 Oct 2026, 00:16
30,033
+29,966
7 Oct 2026, 19:55
67
-5
6 Oct 2026, 23:38
72
-30,000
5 Oct 2026, 21:17
30,072
+29
30 Sept 2026, 09:40
30,043
+29,990
27 Sept 2026, 14:17
53
-7
26 Sept 2026, 07:15
60
-29,969
18 Sept 2026, 02:18
30,029
-6
15 Sept 2026, 19:59
30,035
-13
14 Sept 2026, 05:56
30,048
-50
12 Sept 2026, 17:16
30,098
+30,061
12 Sept 2026, 10:21
37
+32
10 Sept 2026, 19:17
5
-30,304
10 Sept 2026, 13:21
30,309
-1
10 Sept 2026, 11:17
30,310
+11
7 Sept 2026, 15:20
30,299
+10
7 Sept 2026, 07:18
30,289
+5
7 Sept 2026, 03:20
30,284
+17
4 Sept 2026, 17:17
30,267
first reading
Engagement
128 posts held, back to 4 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 97 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.99%
avg views ÷ 30,036 subscribers
Avg views / post
1,800
63 posts measured
Reaction rate
0.968%
reactions ÷ views · ER floor
Posts in window
63
of 128 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 13 October 2026
Posts held
128 (4 August 2026 – 13 October 2026)
Views total
113,308
Reactions total
1,097
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Oct 2026, 12:59 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
47s
Average length
16s
Measured directly from 3 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
2,234 reactions across 128 posts, in 7 distinct kinds. The most used accounts for 37.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
829
37.1%
🔥
783
35.0%
👀
256
11.5%
😍
174
7.79%
🤣
133
5.95%
👎
44
1.97%
🤯
15
0.671%
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 128 of the 128 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 2,234 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 128 most recent posts we hold, published 4 August 2026 to 13 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
5
across the posts below
Posts paid on
4
of 128 we hold a reading for · 3%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @prompty. 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 128 most recent posts we hold for this entry, published 4 August 2026 to 13 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.
🚬 Мужское фото в дыму
Создаём атмосферный чёрно-белый портрет крупным планом с сигаретой по этому промпту:
Use the reference image to keep the exact same face and identity of the person, place them into this scene: dramatic black and white portrait shot from a low angle looking up, shirtless with a thin necklace chain visible, head tilted back with eyes closed in a relaxed sensual expression, short tousled curly ha…
📞 Звонок с другой стороны экрана
Создаём необычный кадр приёма звонка от лица смартфона по этому промпту:
Use my uploaded photo as the face reference. 3:4 vertical. Point-of-view shot from inside a grey fleece-lined bag looking up. The soft
fuzzy lining frames every edge of the image. the person in reference, keeping his exact face, hairstyle and identity, reaches down into the
bag toward the camera, his fingers fo…
📱За пределами фотографии
Создаём необычный 3D-кадр в интерфейсе iOS по этому промпту:
Use my uploaded photo as the face reference. 3:4 vertical. An iOS share sheet on a light grey background: top left reads "1 Photo
Selected" with an "Options >" pill below it, a round X close button top right, then a horizontal carousel of three photo thumbnails, and a
bottom row of app icons labeled "AirDrop", "Messages", "Mail", …
😈 Старый интернет
Создаём яркий ретро-коллаж в стиле старого интернета по этому промпту:
[SUBJECT] in an early internet nostalgia visual concept. Combine editorial image-making with retro digital print aesthetics: halftone dot grid screen, Risograph grain, ink bleed, early GUI interface fragments, 8-bit pixel geometry, soft airbrush gradients, and stencil overspray texture. Build the layout with browser-window fram…
🤝 Бизнес-вумен
Создаём вас в деловом костюме, разговаривая по винтажному телефону, с этим промптом:
A straight-on wide shot of a young woman with medium skin tone, approximately in her 20s, lounging in a modern leather chair. She is dressed in an oversized, textured plaid blazer with a tailored white shirt and black tie, paired with a pleated skirt. Her accessories include large, thick-rimmed eyeglasses and black c…
🐩 В компании доберманов
Создаём дерзкий кадр в эстетике 90-х по этому промпту:
Cinematic fashion shoot for a fashion publication: surreal, high-contrast, cinematic studio photograph. In the center, on a large patterned vintage Persian rug, sits the person from the first photo. Strictly preserve his likeness from the attached first photo, without distortion. In front of him sit two muscular Doberman Pinschers; the d…
⌨️ Вайб рабочей недели
Генерируем креативное фото с вашей внешностью, где вы лежите на асфальте с ноутбуком, по этому промпту:
A candid, humorous street-style photograph of [person from uploaded photo], preserving the person's face, hair, skin tone, body proportions, and the exact outfit they are wearing in the uploaded photo (same clothes, shoes, glasses, and accessories, unchanged). The subject is lying flat on t…
🕶 Монохромный портрет в движении
Создаём стильный чёрно-белый портрет по этому промпту:
Ultra-realistic cinematic B&W portrait using the provided identity photos as the exact subject reference. Preserve the person's facial identity, proportions, jawline, eyes, nose, lips, skin texture, hairstyle and natural features. Do not copy the reference person's identity. Recreate the reference composition: three-quarter prof…
🌙 Лунная ночь на пляже
Создаём атмосферный ночной портрет на море по этому промпту:
Внешность сохранить на 100%. Не изменять черты лица, пропорции. Canon G7X Mark III со вспышкой: девушка стоит ночью на берегу моря, полная луна. У нее спокойный взгляд в камеру. Одна рука поправляет волосы на макушке, вторая свободно опущена. Чистая сияющая кожа, легкий идеальный макияж, длинные ресницы. Ракурс прямой. Дорогая качес…
☕️ Селфи в винтажном кафе
Создаём атмосферный кадр в старинном кафе по этому промпту:
Reimagine the uploaded selfie as a playful vintage-cafe mirror portrait photographed with a strong fisheye lens. Preserve the adult subject's recognizable face, hair, skin tone, age, and gender presentation. Keep the subject and phone naturally reflected in one large round mirror while the cafe curves dramatically around the frame…
🔥8👍7👀4👎2
Showing the 12 most recent of 128 posts we hold for @prompty. 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 7 registered channels — 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 7 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Neuro Arts @neuro_artss · 25,655 Telegram ranks this channel #1 of 45 here — alongside 44 others — read 12 September 2026
Ринат Шакиров | Промпты для Midjourney | ChatGPT | @dailyprompts · 42,731 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 29 August 2026
Midjourney Креативы @midjourney_home · 152,428 Telegram ranks this channel #1 of 94 here — alongside 93 others — read 12 August 2026
TurboText AI. Нейросети @turbotext_ai · 44,879 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 27 August 2026
MainConnect @main_connect · 28,539 Telegram ranks this channel #3 of 65 here — alongside 64 others — read 20 September 2026
Промты для нейросетей @iidlyabi · 22,505 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 20 September 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney @neural_houses · 44,331 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 28 August 2026
SYNTX FAMILY @syntxfamily · 323,652 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 22 August 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 59,134 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 22 August 2026
Midjourney Prompts Daily @neirodrive · 19,689 Telegram ranks this channel #4 of 82 here — alongside 81 others — read 30 September 2026
Midjourney / Нейросеть / Нейронка № 7053203535 @midjourneyneiroseti · 23,827 Telegram ranks this channel #5 of 50 here — alongside 49 others — read 16 September 2026
Neural Brain - Нейросети @neural_braining · 21,431 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 23 September 2026
НейроНатали | Обучение Нейросетям @Neyronatali · 20,136 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 30 September 2026
Nano Banana, GPT Images, Veo 3, Midjourney - Новости YES Ai @yes_ai_official · 98,225 Telegram ranks this channel #7 of 83 here — alongside 82 others — read 22 August 2026
NeuroADEPT @neuroadepts · 40,902 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 29 August 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 39,880 Telegram ranks this channel #10 of 94 here — alongside 93 others — read 29 August 2026
Stable Diffusion News | Нейросети @StableDiffusionBest · 32,465 Telegram ranks this channel #11 of 84 here — alongside 83 others — read 4 September 2026
ChatGPT, помоги! @GPThelp_ru · 522,329 Telegram ranks this channel #12 of 91 here — alongside 90 others — read 10 August 2026
Нейроконцентрат | нейросети, технологии @AIConcentrate · 30,937 Telegram ranks this channel #13 of 95 here — alongside 94 others — read 6 September 2026
ИИ Представляет @iirepresent · 118,365 Telegram ranks this channel #13 of 86 here — alongside 85 others — read 23 August 2026
💎 Зерокодер | Нейросети и искусственный интеллект @oqode · 39,405 Telegram ranks this channel #14 of 92 here — alongside 91 others — read 30 August 2026
Технологии | Нейросети | AIgram @aiaiai · 175,491 Telegram ranks this channel #15 of 93 here — alongside 92 others — read 12 August 2026
Илья Филиппов. Лаборатория нейросетей @moremarketingisaid · 23,230 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 18 September 2026
Robots & Art — AI Images and Pictures @images024 · 55,588 Telegram ranks this channel #20 of 88 here — alongside 87 others — read 23 August 2026
This channel appears in 59 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 13 October 2026 — this
entry's latest reading, not the date you are reading this.
“Промпты для нейросетей” (@prompty), 30,036 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/prompty.
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.