Telegram RegisterThe public register of Telegram
Telegram profile photo for MINTLAB • NANO • промты

Channel

MINTLAB • NANO • промты

@mintlabai

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

6,113subscribers

+72 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001735328111
TypeChannel
Username@mintlabai
DescriptionТут все про нейровизуал, который легко может сделать любой в лучшей ai боте https://t.me/MintLab_ai_bot
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/mintlabai

Topic

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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

6,0416,1166,078.57 August 2026 — 6,041 subscribers7 August 2026 — 6,041 subscribers8 August 2026 — 6,043 subscribers11 August 2026 — 6,042 subscribers15 August 2026 — 6,048 subscribers21 August 2026 — 6,050 subscribers24 August 2026 — 6,063 subscribers27 August 2026 — 6,061 subscribers30 August 2026 — 6,062 subscribers3 September 2026 — 6,067 subscribers7 September 2026 — 6,059 subscribers12 September 2026 — 6,081 subscribers15 September 2026 — 6,080 subscribers25 September 2026 — 6,102 subscribers4 October 2026 — 6,104 subscribers11 October 2026 — 6,115 subscribers14 October 2026 — 6,112 subscribers17 October 2026 — 6,113 subscribers20 October 2026 — 6,116 subscribers23 October 2026 — 6,109 subscribers26 October 2026 — 6,106 subscribers29 October 2026 — 6,110 subscribers1 November 2026 — 6,105 subscribers4 November 2026 — 6,113 subscribers6,1137 August 20264 November 2026
24 measurements spanning 89 days, net +72. 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 6,030–6,127 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
4 Nov 2026, 10:466,113+8
1 Nov 2026, 05:206,105-5
29 Oct 2026, 12:566,110+4
26 Oct 2026, 22:166,106-3
23 Oct 2026, 16:406,109-7
20 Oct 2026, 21:156,116+3
17 Oct 2026, 19:186,113+1
14 Oct 2026, 23:066,112-3
11 Oct 2026, 11:006,115+11
4 Oct 2026, 20:006,104+2
25 Sept 2026, 00:566,102+22
15 Sept 2026, 09:196,080-1
12 Sept 2026, 03:196,081+22
7 Sept 2026, 10:596,059-8
3 Sept 2026, 00:566,067+5
30 Aug 2026, 14:056,062+1
27 Aug 2026, 14:386,061-2
24 Aug 2026, 22:376,063+13
21 Aug 2026, 12:466,050+2
15 Aug 2026, 02:586,048first reading

Engagement

61 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 12 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.2%
avg views ÷ 6,113 subscribers
Avg views / post
805
16 posts measured
Reaction rate
0.668%
reactions ÷ views · ER floor
Posts in window
17
of 61 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 4 November 2026
Posts held61 (4 August 2026 – 4 November 2026)
Views total12,882
Reactions total86
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 01:04 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

Photos
≈3,410
Videos
≈41
Links
≈1,800

Lifetime counters from Telegram’s own channel header, read 5 November 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.

Video runtime
9s
Average length
9s

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

162 reactions across 55 posts, in 5 distinct kinds. The most used accounts for 58.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9558.6%
❤3924.1%
❤‍🔥1911.7%
👍63.70%
🥰31.85%

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 55 of the 61 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 162 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 61 most recent posts we hold, published 4 August 2026 to 4 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 3 of 17 posts held from the last 30 days (17.6%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 08:11 UTC242 views2 reactionsread 5 November 2026
Photo

Осенняя предметная съемка Используй загруженное фото продукта как единственный референс бутылочки. Строго сохрани её оригинальную форму, размер, пропорции, материал, цвет, крышку, этикетку, логотип и все надписи без изменений. Не придумывай новый дизайн упаковки, не заменяй текст и не добавляй декоративные элементы на бутылочку. Создай фотореалистичную осеннюю предметную фотографию в вертикальном формате 3:4. Бутыло…

❤1🔥1

3 Nov 2026, 12:34 UTC384 views9 reactionsread 5 November 2026
Video

🍂 Видео с падающими осенними листьями Шаг 1. Создаём фото в боте MINTLAB Генерируем фотографию в Nano Banana 2, используя этот промпт для фото. Шаг 2. Оживляем фотографию Переходим в раздел «Создать видео» и выбираем модель Kling — вариант без звука. Следуем инструкции в боте, загружаем полученную фотографию и добавляем промпт для оживления. ✨ Мои настройки: Продолжительность — 10 секунд. Стоимость — 2 генерации.…

❤4🔥3👍2

3 Nov 2026, 12:13 UTC359 views1 reactionsread 5 November 2026
Photo

Осенний портрет на улице Используй загруженное портретное фото как единственный источник внешности человека. Перенеси именно этого человека в новую сцену, максимально сохранив исходное лицо, его индивидуальную геометрию, форму и цвет глаз, нос, губы, подбородок, щёки, естественную асимметрию, оттенок кожи и причёску. Preserve model identity, facial features, hairstyle, hair color, skin tone, body proportions, realis…

🔥1

2 Nov 2026, 07:25 UTC433 views1 reactionsread 5 November 2026
Photo

Чтобы сделать такое же фото, нажимайте на промт и он автоматически скопируется Используй загруженное фото как единственный и главный референс внешности человека. Максимально точно перенеси исходное лицо без изменений. Строго сохрани форму и размер глаз, их настоящий цвет, нос, губы, линию челюсти, щёки, подбородок, естественную асимметрию, оттенок кожи и индивидуальные особенности. Не улучшай внешность, не делай лиц…

🔥1

30 Oct 2026, 16:36 UTC566 views10 reactionsread 5 November 2026
Photo

Чтобы сделать такое же фото, нажимайте на промт и он автоматически скопируется Используй загруженную фотографию как единственный референс внешности человека. Строго сохрани реальное лицо, исходный цвет глаз, форму и посадку глаз, нос, губы, щёки, подбородок, индивидуальную асимметрию, тон кожи, причёску и пропорции тела. Не создавай модельную версию человека, не улучшай внешность, не меняй анатомию лица и не применяй…

🔥6❤2🥰2

29 Oct 2026, 09:25 UTC589 views5 reactionsread 5 November 2026
Photo

Скоро Хеллоуин 👻 Используй загруженное фото как единственный референс внешности человека. Строго сохрани узнаваемость, черты лица, пропорции тела, тон кожи и исходную причёску. Не заменяй лицо, не идеализируй и не изменяй индивидуальные особенности. Создай фотореалистичную ночную Halloween-фотографию в образе дерзкой пиратки. На девушке белая блуза с глубоким вырезом, объёмными рукавами и кружевными вставками, чёрны…

🔥3❤1🥰1

24 Oct 2026, 12:54 UTC863 views6 reactionsread 5 November 2026
Photo

Осеннее закатное солнце сквозь тучи Используй загруженное фото человека как единственный референс внешности. Максимально точно сохрани узнаваемость, индивидуальные черты лица, пропорции, возраст, тон кожи и исходную причёску. Не изменяй и не идеализируй внешность. Создай кинематографичный портрет по пояс среди высокого сухого осеннего поля. Человек одет в объёмный чёрный вязаный свитер с высоким воротником и широким…

🔥4👍2

24 Oct 2026, 12:05 UTC777 views2 reactionsread 5 November 2026
Photo

На фоне своего портрета Используй загруженное фото как единственный референс внешности человека. Максимально точно сохрани узнаваемость, индивидуальные черты лица, пропорции, возраст, цвет глаз, тон кожи и исходную причёску. Не изменяй и не идеализируй внешность. Создай стильную фотореалистичную студийную композицию с двойным портретом одного человека. На переднем плане человек сидит на тёмном деревянном полу в расс…

❤1🔥1

18 Oct 2026, 09:47 UTC≈1,060 views3 reactionsread 5 November 2026
Photo

С Днем Отца! Промт для папы и дочки Используй загруженные фотографии папы и дочки как единственные референсы их внешности. Точное портретное сходство обоих — главный приоритет. Сохрани индивидуальные черты, пропорции лиц, причёски и возраст с фотографий. Особенно точно передай лицо дочки: форму и посадку глаз, форму носа и губ, щёк и подбородка. Не увеличивай глаза, не уменьшай нос, не округляй лицо, не меняй причёс…

🔥2❤1

16 Oct 2026, 09:50 UTC≈1,140 views13 reactionsread 5 November 2026
Photo

Универсальный осенний коллаж Используй загруженное фото как единственный референс внешности человека. Максимально точно сохрани лицо, индивидуальные черты, пропорции, цвет глаз, тон кожи, возраст, телосложение и причёску. Не меняй внешность, не идеализируй и не создавай другое лицо. Во всех кадрах должен быть один и тот же узнаваемый человек. Создай фотореалистичный осенний коллаж 2×2, вертикальный формат 3:4. Едины…

❤6❤‍🔥4🔥3

14 Oct 2026, 07:24 UTC≈1,150 views4 reactionsread 5 November 2026
Photo

Почувствуй себя персонажем мультика Тима Бертона Используй загруженную фотографию исключительно как референс внешности человека. Создай полноценного мультяшного персонажа в эстетике кукольных мультфильмов Тима Бёртона «Труп невесты» и «Франкенвини». Результат должен выглядеть как настоящий кадр из трёхмерного кукольного мультфильма, а не как фотография человека в готическом костюме. Сохрани узнаваемые индивидуальные…

🔥3👍1

12 Oct 2026, 14:09 UTC999 views2 reactionsread 5 November 2026
Photo

Чтобы сделать такое же фото, нажимайте на промт и он автоматически скопируется Используй загруженное фото человека как единственный референс внешности. Строго сохрани личность, узнаваемость, индивидуальные черты лица, форму глаз, носа, губ, подбородка, естественные пропорции лица и тела, оттенок кожи, возраст, цвет и длину волос, исходную причёску. Не заменяй лицо другой моделью, не идеализируй внешность и не изменя…

🔥2

Showing the 12 most recent of 61 posts we hold for @mintlabai. 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

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

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.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“MINTLAB • NANO • промты” (@mintlabai), 6,113 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/mintlabai.

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.