Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Elegant brunette woman walking along a charming European street, oversized chocolate-brown blazer, white top, straight-leg jeans and leather loafers, natural hair moving in the breeze, carrying a small paper coffee cup, soft overcast light, photorealist…

Channel
𝓝𝓲𝓴𝓪 ♡
@nika_promt
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
23,677subscribers
-2,403 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003545073131 |
|---|---|
| Type | Channel |
| Username | @nika_promt |
| Description | По всем вопросам @Liana97_Ai |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 8 October 2026 |
| On Telegram | t.me/nika_promt |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Oct 2026, 06:56 | 23,677 | -201 |
| 3 Oct 2026, 20:19 | 23,878 | -283 |
| 25 Sept 2026, 00:21 | 24,161 | -205 |
| 18 Sept 2026, 22:21 | 24,366 | -97 |
| 16 Sept 2026, 13:38 | 24,463 | -57 |
| 14 Sept 2026, 21:01 | 24,520 | -89 |
| 13 Sept 2026, 05:18 | 24,609 | -55 |
| 11 Sept 2026, 08:19 | 24,664 | -91 |
| 8 Sept 2026, 15:57 | 24,755 | -90 |
| 5 Sept 2026, 07:59 | 24,845 | -52 |
| 3 Sept 2026, 09:08 | 24,897 | -33 |
| 2 Sept 2026, 03:04 | 24,930 | -33 |
| 1 Sept 2026, 02:44 | 24,963 | -34 |
| 31 Aug 2026, 03:36 | 24,997 | -61 |
| 30 Aug 2026, 02:57 | 25,058 | -26 |
| 29 Aug 2026, 05:07 | 25,084 | -32 |
| 28 Aug 2026, 08:17 | 25,116 | -40 |
| 27 Aug 2026, 07:55 | 25,156 | -58 |
| 26 Aug 2026, 06:02 | 25,214 | -48 |
| 25 Aug 2026, 04:25 | 25,262 | first reading |
Engagement
209 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 81 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.927%
- avg views ÷ 23,677 subscribers
- Avg views / post
- 220
- 79 posts measured
- Reaction rate
- 0.584%
- reactions ÷ views · ER floor
- Posts in window
- 79
- of 209 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. It is computed over the 70 of 79 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 October 2026 |
|---|---|
| Posts held | 209 (5 August 2026 – 9 October 2026) |
| Views total | 17,342 |
| Reactions total | 94 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Oct 2026, 14:18 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
- ≈1,630
- Links
- ≈1,610
Lifetime counters from Telegram’s own channel header, read 9 October 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.
Reaction mix
241 reactions across 183 posts, in 6 distinct kinds. The most used accounts for 91.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 221 | 91.7% | |
| 🔥 | 10 | 4.15% | |
| 🥰 | 4 | 1.66% | |
| 👍 | 3 | 1.24% | |
| 💘 | 2 | 0.83% | |
| 👎 | 1 | 0.415% |
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 185 of the 209 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 241 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 209 most recent posts we hold, published 5 August 2026 to 9 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.
Recent posts
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Beautiful brunette woman sitting on a kitchen countertop near an open window, wearing a fitted white tank top and relaxed blue jeans, naturally wavy hair, holding a ceramic coffee cup, warm sunlight illuminating her face, realistic skin texture, effortl…
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Beautiful brunette woman taking a casual full-length mirror selfie in a minimalist apartment, fitted black long-sleeve top, loose gray sweatpants and white socks, slightly messy hair, relaxed posture, natural window light, authentic smartphone photo, re…
💘2❤1
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Natural brunette woman standing barefoot on a rocky seaside promenade, oversized pale-blue linen shirt and white shorts, wind blowing through her loose hair, looking toward the water, soft cloudy sky, muted natural colors, realistic skin and fabric text…
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Natural brunette woman sitting at an outdoor café table after sunset, dark green knit sweater, relaxed jeans and ankle boots, loose wavy hair, warm lights softly glowing behind her, holding a coffee with a gentle smile, realistic skin and cinematic colo…
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Beautiful brunette woman walking home through a quiet residential street, long beige coat, white sweater, wide-leg dark trousers and sneakers, natural loose hair, small shoulder bag, soft blue-hour light, realistic textures and effortless elegance, Leic…
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Brunette woman lying comfortably on a soft rug beside a low coffee table, oversized gray sweater and loose white trousers, messy hair, open book and tea beside her, soft window light, natural skin texture, completely relaxed atmosphere, Leica SL3, 50mm …
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Beautiful brunette woman walking out of a modern office building, oversized charcoal blazer, simple black top, straight jeans and loafers, hair slightly messy after a long day, carrying a small handbag, warm evening sunlight, realistic cinematic lifesty…
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Natural brunette woman standing in a small local market choosing fresh peaches, fitted white top, relaxed blue jeans and simple sneakers, loose natural hair, canvas tote on her shoulder, soft daylight, realistic skin texture, effortless feminine lifesty…
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Beautiful brunette woman leaning on a small balcony railing, oversized cream shirt and loose beige trousers, naturally messy wavy hair, holding a warm coffee, soft early sunlight, realistic skin texture and subtle imperfections, peaceful genuine express…
❤1
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Beautiful brunette woman walking along a quiet tree-lined street before sunset, oversized denim jacket, white fitted top, wide-leg cream trousers and sneakers, natural wavy hair, small shoulder bag, warm golden light, realistic skin texture, effortless …
❤1
Сделано в Nano Banana 2 Как делаю: 1. Захожу в этот бот 2. Нажимаю - Нейросети 3. Нажимаю - Nano banana 2 4. Добавляю фото или несколько фото и вставляю этот промт 👇 Natural brunette woman standing beside a wooden bookshelf, dark brown cardigan, straight blue jeans and ankle boots, holding an open book, loose natural hair, warm lamps and soft shadows, genuine thoughtful expression, realistic cinematic photography, C…
❤1
Showing the 12 most recent of 209 posts we hold for @nika_promt. 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.
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 8 October 2026 — this entry's latest reading, not the date you are reading this.
“𝓝𝓲𝓴𝓪 ♡” (@nika_promt), 23,677 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/nika_promt.
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.