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Channel

Lexy | Промты • ИИ • Новости

@lexygpt

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

200,737subscribers

-466 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002421757799
TypeChannel
Username@lexygpt
DescriptionСоздаю премиум-портреты из ваших фото. Как после съемки у топ-фотографа ✨ Попробуй: https://t.me/lexygpt_bot?start=NEWS_ref0 Поддержка: @lexygpt_support
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/lexygpt

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 73% 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

200,737201,203200,9707 August 2026 — 201,203 subscribers8 August 2026 — 201,175 subscribers9 August 2026 — 201,104 subscribers10 August 2026 — 201,044 subscribers11 August 2026 — 200,975 subscribers12 August 2026 — 200,892 subscribers13 August 2026 — 200,820 subscribers14 August 2026 — 200,737 subscribers7 August 202614 August 2026
8 measurements spanning 7 days, net -466. 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 200,667–201,273 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 17:17200,737-83
13 Aug 2026, 05:08200,820-72
12 Aug 2026, 05:46200,892-83
11 Aug 2026, 03:01200,975-69
10 Aug 2026, 03:31201,044-60
9 Aug 2026, 05:54201,104-71
8 Aug 2026, 09:05201,175-28
7 Aug 2026, 16:33201,203first reading

Engagement

54 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.58%
avg views ÷ 200,737 subscribers
Avg views / post
9,190
54 posts measured
Reaction rate
0.205%
reactions ÷ views · ER floor
Posts in window
54
of 54 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 14 August 2026
Posts held54 (6 August 202614 August 2026)
Views total495,990
Reactions total1,015
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 06:50 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
2,760
Videos
157
Links
1,030

Lifetime counters from Telegram’s own channel header, read 15 August 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
7s
Average length
7s

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

1,015 reactions across 54 posts, in 13 distinct kinds. The most used accounts for 60.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
61060.1%
❤‍🔥12512.3%
🔥10410.2%
😍838.18%
🥰474.63%
👍333.25%
🎉30.296%
💔20.197%
😇20.197%
🙏20.197%
🤩20.197%
😱10.099%
🤪10.099%

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 54 of the 54 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 1,015reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 6 August 2026 to 14 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
4
across the posts below
Posts paid on
4
of 54 we hold a reading for · 7%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lexygpt. 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 54 most recent posts we hold for this entry, published 6 August 2026 to 14 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.

Recent posts

14 Aug 2026, 17:01 UTC≈5,550 views14 reactionsread 15 August 2026
Photo

Шикарный фотосет в ресторане 💫 Атмосферные кадры, которые идеально подойдут для украшения ваших соцсетей 😍 Сделать очень просто: загрузите свое портретное фото и получите готовые кадры 💙 Получить фотосет в боте ✨ Посмотреть остальные фотосеты

🔥7❤‍🔥32😍2

14 Aug 2026, 15:29 UTC≈5,960 views15 reactionsread 15 August 2026
Photo

Вечерние кадры с букетом 💐 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 по референсу — лицо, черты, пропорции, тон кожи, цвет глаз, цвет и длину волос как на референсе. Формат 3:4. Лицо скрыто за айфоном, естественно

15

14 Aug 2026, 13:29 UTC≈6,480 views14 reactionsread 15 August 2026
Photo

Серия кадров в воде озера 🖤 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Художественный фэшн-снимок. Девушка по пояс погру

8🔥6

14 Aug 2026, 11:29 UTC≈6,990 views11 reactionsread 15 August 2026
Photo

Серия летних кадров на пикнике 🧺 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат: 9:16. Реалистичное фото, средний крупный план. Дев

8❤‍🔥3

14 Aug 2026, 09:29 UTC≈7,590 views18 reactionsread 15 August 2026
Photo

Серия утонченных кадров в ресторане с видом на Питер 🌟 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат: 9:16. Реалистичное фото. Жен

10😍5❤‍🔥3

14 Aug 2026, 07:29 UTC≈8,410 views14 reactionsread 15 August 2026
Photo

Серия селфи на курорте 😎 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Пляжный бьюти-портрет в формате селфи. Девушка в черн

9🔥3❤‍🔥2

13 Aug 2026, 17:01 UTC≈10,200 views19 reactionsread 15 August 2026
Photo

Фотосессия для мальчика в стиле Человека-паука 🕷 Эти кадры очень понравятся любому мальчику, пусть почувствует себя героем любимого комикса! Как получить: загрузи фото и получи готовый фотосет в течении 3х минут! 🕷Получить фотосет в боте

15❤‍🔥2🔥1😍1

13 Aug 2026, 15:29 UTC≈9,830 views19 reactionsread 15 August 2026
Photo

Серия кадров в кинотеатре 🕷️ 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Портрет женщины с уложенными объемными волнами во

11😍5🥰3

13 Aug 2026, 13:29 UTC≈9,850 views12 reactionsread 15 August 2026
Photo

Серия кадров с подругой на летней веранде 🍸 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 по референсу для обеих девушек — лица, черты, пропорции. Формат 9:16. Средний план, камера на уровне глаз, взгляд в объектив. S

9🔥2🥰1

13 Aug 2026, 11:29 UTC≈9,920 views18 reactionsread 15 August 2026
Photo

Серия элегантных кадров в тропиках 🩵 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, тон кожи, цвет глаз, оттенок и длину волос как на референсе. Формат 9:16. Взгляд в сторону, чуть вдаль. Сред

10😍4🔥2😇2

13 Aug 2026, 09:29 UTC≈10,200 views17 reactionsread 15 August 2026
Photo

Серия забавных кадров с обезьянкой 🐒 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Фотография в стиле селфи, на фронтальную

7❤‍🔥5👍3🙏2

13 Aug 2026, 07:29 UTC≈8,250 views16 reactionsread 14 August 2026
Photo

Романтичные черно-белые кадры в городе 🤍 1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot 2️⃣Отправляй качественное фото, где чётко видны пропорции лица 3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇): Кадр 1: СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Стильная парная ч/б фотография в горо

13👍3

Showing the 12 most recent of 54 posts we hold for @lexygpt. 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

Citation-graph rank — 326,369 of 1,478,351entries 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.

Mentions

Named by 3 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Lexy | Промты • ИИ • Новости” (@lexygpt), 200,737 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/lexygpt.

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.