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 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 the other topics.
Growth
23 measurements spanning 87 days, net +863. 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 5,730–7,383 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
2 Nov 2026, 14:17
6,793
-31
30 Oct 2026, 11:04
6,824
-11
27 Oct 2026, 15:09
6,835
-24
24 Oct 2026, 11:45
6,859
-21
21 Oct 2026, 05:09
6,880
-17
18 Oct 2026, 05:07
6,897
-22
15 Oct 2026, 03:36
6,919
-23
11 Oct 2026, 23:41
6,942
-33
5 Oct 2026, 19:39
6,975
-58
27 Sept 2026, 23:59
7,033
-86
15 Sept 2026, 19:57
7,119
-11
12 Sept 2026, 03:57
7,130
-34
8 Sept 2026, 03:20
7,164
-28
2 Sept 2026, 21:05
7,192
+1
31 Aug 2026, 00:25
7,191
+43
27 Aug 2026, 22:53
7,148
+12
24 Aug 2026, 18:23
7,136
+13
21 Aug 2026, 08:27
7,123
+585
18 Aug 2026, 04:15
6,538
+612
15 Aug 2026, 01:18
5,926
first reading
Engagement
38 posts held, back to 12 June 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 11 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.12%
avg views ÷ 6,793 subscribers
Avg views / post
484
1 post measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
1
of 38 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 30 October 2026
Posts held
38 (12 June 2026 – 30 October 2026)
Views total
484
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 17:14 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
530
Videos
128
Links
156
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1m 57s
Average length
39s
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
196 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 63.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
125
63.8%
❤
49
25.0%
👍
14
7.14%
🥰
5
2.55%
🙏
2
1.02%
🤣
1
0.51%
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 25 of the 38 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 196 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 12 June 2026 to 30 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
Telegram’s own ‘edited’ marker: 1 of 1 post held from the last 30 days (100.0%) 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).
Люблю промпты , которые показывают разные стороны твоей личности , был тренд на заполнить коробку , сейчас новый - отрисуй портреты. Приложи свое фото Промпт (просто тыкни он скопируется)👇🏻👇🏻👇🏻
Создай групповой портрет разных сторон моей личности, опираясь на то, что ты обо мне знаешь. Выбирай устойчивые черты, интересы и жизненные роли, а не случайные эпизоды.
Пусть все мои версии стоят вместе в полный рост: с узн…
🎁 СЕГОДНЯ ПОСЛЕДНИЙ ДЕНЬ!
Сегодня, 30 сентября, последний день, когда можно присоединиться к моему курсу по нейросетям и принять участие в розыгрыше ГОДОВОЙ подписки Virale + ChatPlace 💜
Сейчас такая подписка стоит 27 000 ₽, а один из моих студентов получит её БЕСПЛАТНО на целый год!
И неважно, какой тариф вы выберете:
• мастер-класс
• полное обучение
Для участия подходит ЛЮБОЙ тариф.
Главное - успеть СЕГОДНЯ п…
🎁 РОЗЫГРЫШ ГОДОВОЙ ПОДПИСКИ VIRALE + CHATPLACE
Если вы давно присматриваетесь к моему курсу по нейросетям - сейчас есть ещё один повод присоединиться 💜
До 30 сентября включительно вы можете приобрести ЛЮБОЙ тариф курса и автоматически получить возможность принять участие в розыгрыше годовой подписки сразу на два сервиса:
💜 Virale - нейросети и инструменты для создания контента.
💜 ChatPlace - боты, воронки и автомат…
Добрый день! Ищу начинающего монтажёра / рилсмейкера для себя и своих клиентов.
📌 Объём: 15–30 Reels и VK Клипов в месяц для 1 проекта.
Я даю готовые сценарии и ТЗ, от вас:
🔹 монтаж роликов;
🔹 субтитры, заголовки, акценты;
🔹 динамика, переходы, простые эффекты;
🔹 если есть идеи, как сделать ролик интереснее - предложения принимаю.
Сложный монтаж не нужен. Важно чувствовать контент и не перегружать ролики эффектами…
Прикольный тренд в чате GPT . Отправляете в чат пустую коробку (приложу в комментариях) и промпт:
«На основании того , что ты знаешь обо мне , заполни коробку»
Делюсь еще одним интересным промптом . Какая роль в кино подошла бы лучше всего моему типу внешности .
Прикрепляете ваши фото , и промпт который оставлю в описании. Чат GPT проводит полный анализ , а потом просто просите составить его коллаж 😁
Получается очень любопытно . Промпт оставлю в комментариях. И там же делитесь вашими результатами 💜
Новый тренд в нельзяграме , как бы я выглядела в 80х 😎
Прикрепляете свое фото и промпт 👇🏻 если мужчина поменяй на men 😉
What would women have looked like in the 80s
Кидайте ваши версии в комментарии. Мне, кстати , мой образ очень нравится 💅
Я НАВАЙБКОДИЛА СЕБЕ НОВЫЙ САЙТ 😂🤩👇👇
http://zhenyalavrikai.store
Если вы ещё не знаете, что такое вайбкодинг, объясняю на человеческом:
Вы буквально пишете нейросети словами, ЧТО хотите получить.
Например:
«Хочу сайт для своего продукта. Вот мои цвета, вот информация, вот какие блоки мне нужны».
А нейросеть уже сама пишет код, собирает страницы, добавляет кнопки, формы и весь текст и оформление
И вот так я НАВА…
Вот что происходит у моих учеников после обучения.
Многие из них:
🚀 начинают набирать аудиторию даже на новых аккаунтах
🚀 делают ролики на сотни тысяч просмотров
🚀 выступают на конференциях
🚀 зарабатывают на создании контента
И самое интересное —
видео, которые они публикуют, они не снимают.
Они генерируют их с помощью нейросетей.
Именно этому я обучаю:
как использовать ИИ не ради интереса, а как инструмент для …
Если у вас есть вопросы по курсу , вы всегда можете задать их мне в чате 💜
Или куратору Наталье @Volobosha , она лично ответить , поможет , расскажет про рассрочку и варианты оплат
Showing the 12 most recent of 38 posts we hold for @reelsbyzhenyalavrik. 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 2 November 2026 — this
entry's latest reading, not the date you are reading this.
“Zhenyalavrik💜 Reels&Нейросети” (@reelsbyzhenyalavrik), 6,793 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/reelsbyzhenyalavrik.
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.