🤩🤩🤩🤩🤩🤩🤩🤩🤩 🔥 За отзывы и участие!)

Channel
ИИ, это Яна 🤖
@v_contente
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
21,187subscribers
+1,081 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 | -1001515448537 |
|---|---|
| Type | Channel |
| Username | @v_contente |
| Description | Здесь делюсь, как использовать нейросети - просто, понятно и с пользой. Для связи: @yana_polyakovaa Мой Inst: https://www.instagram.com/oireels |
| Created | Between 1 August 2021 and 28 February 2023 — 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 | 32 |
| Confirmed unchanged | 1 time, most recently 8 October 2026 |
| On Telegram | t.me/v_contente |
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 76% 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, 12:01 | 21,187 | +49 |
| 4 Oct 2026, 00:17 | 21,138 | +90 |
| 25 Sept 2026, 04:57 | 21,048 | +91 |
| 17 Sept 2026, 08:55 | 20,957 | +36 |
| 15 Sept 2026, 06:56 | 20,921 | +25 |
| 13 Sept 2026, 15:59 | 20,896 | +30 |
| 11 Sept 2026, 17:56 | 20,866 | +94 |
| 9 Sept 2026, 06:37 | 20,772 | +156 |
| 5 Sept 2026, 21:22 | 20,616 | +17 |
| 3 Sept 2026, 17:01 | 20,599 | +24 |
| 2 Sept 2026, 08:28 | 20,575 | +21 |
| 1 Sept 2026, 09:48 | 20,554 | +12 |
| 31 Aug 2026, 08:37 | 20,542 | +44 |
| 30 Aug 2026, 05:24 | 20,498 | +41 |
| 29 Aug 2026, 01:42 | 20,457 | +44 |
| 28 Aug 2026, 03:13 | 20,413 | +24 |
| 27 Aug 2026, 02:06 | 20,389 | +27 |
| 26 Aug 2026, 01:36 | 20,362 | +58 |
| 24 Aug 2026, 22:14 | 20,304 | +35 |
| 23 Aug 2026, 11:04 | 20,269 | first reading |
Engagement
97 posts held, back to 31 July 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 57 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.75%
- avg views ÷ 21,187 subscribers
- Avg views / post
- 370
- 11 posts measured
- Reaction rate
- 3.95%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 97 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 3 of 11 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 | 97 (31 July 2026 – 9 October 2026) |
| Views total | 4,071 |
| Reactions total | 64 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Oct 2026, 19:41 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
- ≈3,640
- Videos
- ≈708
- Links
- ≈696
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.
- Video runtime
- 2h 21m
- Average length
- 7m 52s
Measured directly from 18 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
1,400 reactions across 74 posts, in 11 distinct kinds. The most used accounts for 68.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 957 | 68.4% | |
| custom 5377399612661324412 | 133 | 9.50% | |
| custom 5375593424294539533 | 100 | 7.14% | |
| custom 5253730848326321928 | 67 | 4.79% | |
| custom 5413379283844370308 | 30 | 2.14% | |
| custom 5377336407922600247 | 29 | 2.07% | |
| custom 5346044474499819220 | 23 | 1.64% | |
| custom 5413523087939371281 | 20 | 1.43% | |
| 😱 | 15 | 1.07% | |
| custom 5242569856116602811 | 14 | 1.00% | |
| custom 5370610867094166617 | 12 | 0.857% |
Custom emoji. 9 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 74 of the 97 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 1,400 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 97 most recent posts we hold, published 31 July 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
Мне нейрочеллендж осень понравился🔥❤️. Как мини практика получилась для меня. Спасибо 🔥🔥🔥
Яна,спасибо огромное за такое приятное,полезное времяпрепровождение.Мне очень интересно было участвовать в таком мероприятии.Я редко дохожу до финала в таких мероприятия,а здесь прямо все 5 дней с интересом ждала заданий.Еще раз спасибо💐💐💐Девочкам,участникам тоже спасибо за такие классные работы🔥🔥🔥
Яночка, спасибо вам огромное! ❤️ Вы просто гений, честное слово! Это был не просто нейрочеллендж, а какой-то потрясающий творческий эксперимент! Столько эмоций, новых идей! Я даже не представляла, насколько это может затянуть и увлечь. 😍 Отдельное спасибо за вашу фантазию, щедрость, энергию и умение зажечь в других желание творить! Я получила огромное удовольствие и теперь ловлю себя на мысли, что хочется ещё и ещё! …
Пост для заданий 🧡 🎃 Если сделали День 5 - ставьте тыкву) И буду также рада вашей обратной связи, как вам наш нейрочеллендж ⭐️
custom 524256985611660281114custom 53706108670941666173
Шаг 2. Загружаем карточку в Syntx AI и делаем видео Для тех, кто впервые пробует бот Syntx AI: Можно использовать @syntxaibot Для новеньких там есть скидка 10% на подписку по промокоду oireels Главное — заходите по моей партнёрской ссылке: 👉 https://t.me/syntxaibot?start=aff_236570563 Как сделать видео в Syntx AI 1. Зайдите в бот @syntxaibot 2. Нажмите Video / Видео 3. Выберите Seedance 4. Нажмите Настроить и запу…
🎃Задание дня: Присылайте в комментарии: 1. свою карточку персонажа 2. и итоговое видео Очень хочу посмотреть, у кого какой финальный образ получится 💥
🔥19custom 53706108670941666179
🎬 ДЕНЬ 5. ДЕЛАЕМ ВИДЕО В SEEDANCE 2.5 Ну что, финал нашего нейрочелленджа 🎃 Сегодня делаем не просто картинку, а видео-трансформацию. Сначала создаём карточку персонажа, а потом загружаем её в Seedance 2.5 и превращаем в короткий атмосферный Halloween-ролик. Итог: у вас получится видео, где вы стоите в осеннем лесу, держите тыквенный фонарь, а затем ваш образ плавно трансформируется в красивое готическое couture-п…
ПРОМПТ ДЛЯ SEEDANCE 2.5 Use @ref1 as the exact 1:1 identity and starting-look reference for the same woman throughout the entire video. Preserve her face, age, body proportions, skin texture, hair, facial features and recognizable appearance exactly as shown in @ref1. At the beginning of the video, she must appear exactly as she does in @ref1, including her starting outfit and styling. The environment must remain…
Do not completely destroy the image with white light. Keep the final frame cinematic and detailed. VISUAL PRIORITIES Highest priority: exact identity consistency with @ref1; realistic natural forest; beautiful high-fashion gothic couture dress; realistic cinematic lighting; natural fabric movement; subtle transformation effects. The transformation must feel like practical cinematic VFX rather than AI fantas…
У всех такие классные диорамы получаются! Что даже не выбрать - все потрясные 🥰
custom 537739961266132441216custom 52537308483263219283
Ну вы поняли да😏
🔥21custom 53773364079226002475
Showing the 12 most recent of 97 posts we hold for @v_contente. 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.
Posts edited after publishing
@v_contente edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 25 August 2026
- Most recent edit
- 25 August 2026
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.
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.
@creative_vibe_only · 11,695#1
@creators_eyes · 18,103#2
@sosroseesmm · 7,252#3
@stickerssosrosee · 11,592#4
@charmingcreate · 15,696#5
@stickers_bar · 13,602#6
@stikersss_m · 9,928#7
@stickersbyseredulya · 17,673#8
@visual_lokanellaa · 10,401#9
@lokanellaa · 10,150#10
@mama_vizuala_reserv · 7,736#11
@panova_SOSmyslom · 269#12
@ksysha_yanina · 655#13
@creative_blogging · 35,460#14
@gang_content · 14,502#15
@visualcreate · 7,385#16
@pekurvugare · 16,045#17
@pavelburdelll · 5,137#18
@catewna_blog · 3,080#19
@smmtonya · 616#20
@oksayatsenko · 651#21
@popimilk · 3,712#22
@mo_narchi · 1,803#23
@reelsclubdi · 1,061#24
@odnanaulitse · 660#25
@lera_trushnyblog · 1,665#26
@lizosooma · 12,027#27
@temchikprod · 260#28
@irina_promontazh · 9,921#29
@bovareevgenia · 684#30
@nowisyourtimee · 5,209#31
@neprostrip · 464#32
@kondrashovab · 2,573#33
@kontentoshnaya · 19,053#34
@polinaprostories · 2,034#35
@mediatiqua · 3,292#36
@instaznayka_teg · 860 (as read 25 September 2026)#37
@aartcore · 4,080#38
@sbitneva_nastia · 6,948#39
@capcutshabs · 1,404#40
@capcut_asst · 34,413#41
@krasnovatut · 452#42
@belinkovna · 14,147#43
@fotowish_spb · 205#44
@mamahak_new · 529#45
@poollyzu · 7,807#46
@tcagen · 1,683#47
@olly_tg_official · 711#48
@verchun_marketing · 1,230#49
@polina_loginova_online · 159#50
@macvlia2 · 17,199#51
@danas_hut · 160#52
@cconcordiaa9 · 343#53
@ramanava_knows · 8,766#54
@lerriweb · 1,442#55
@instasweetpirat · 5,230#56
@videoperehodi · 1,942#57
@animationsforvideo · 1,036#58
@marrusyalive · 1,975#59
@iriskakimi · 456#60
@vicreatom_onair · 345#61
@alivershhh · 3,644#62
@alina_veretelnikova · 3,131#63
@blogging_extra · 6,922#64
@imarymake · 795#65
@polinarule · 22,727#66
@ionova_astrolog · 160#67
@creativevikusiii · 1,040 (as read 25 September 2026)#68
@teleshinina · 206#69
@johannasvis · 13,564#70
@visualityy · 8,975#71
@psymed_0rlova · 177#72
@sovamariia · 903#73
@brandsiren · 646#74
@soliha_frilans · 1,128#75
@komol_alina_art · 369#76
@ekaterinamitireva · 306#77
@feelangels · 148#78
Read from Telegram’s recommendation API, most recently 25 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.
@vnuk_m · 45,265
Telegram ranks this channel #18 of 70 here — alongside 69 others — read 22 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 8 October 2026 — this entry's latest reading, not the date you are reading this.
“ИИ, это Яна 🤖” (@v_contente), 21,187 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/v_contente.
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.