Personal blog — 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 37% 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
34 measurements spanning 43 days, net +459. 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 21,303–21,901 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
19 Sept 2026, 13:00
21,832
+37
17 Sept 2026, 01:01
21,795
+29
15 Sept 2026, 01:20
21,766
+23
13 Sept 2026, 09:02
21,743
+3
11 Sept 2026, 11:15
21,740
+79
8 Sept 2026, 19:00
21,661
+36
5 Sept 2026, 11:15
21,625
+42
3 Sept 2026, 16:22
21,583
+60
2 Sept 2026, 06:47
21,523
-12
1 Sept 2026, 03:53
21,535
-18
31 Aug 2026, 04:38
21,553
+27
30 Aug 2026, 06:15
21,526
-32
29 Aug 2026, 06:35
21,558
-3
28 Aug 2026, 09:42
21,561
-30
27 Aug 2026, 06:18
21,591
+16
26 Aug 2026, 06:07
21,575
+5
25 Aug 2026, 03:29
21,570
+14
23 Aug 2026, 23:37
21,556
+46
22 Aug 2026, 10:56
21,510
+27
21 Aug 2026, 00:57
21,483
first reading
Engagement
20 posts held, back to 29 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.73%
avg views ÷ 21,832 subscribers
Avg views / post
1,030
7 posts measured
Reaction rate
1.68%
reactions ÷ views · ER floor
Posts in window
7
of 20 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 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 1 September 2026
Posts held
20 (29 July 2026 – 1 September 2026)
Views total
7,227
Reactions total
104
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 14:52 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
Video runtime
3m 58s
Average length
30s
Measured directly from 8 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
530 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 69.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
367
69.2%
🔥
92
17.4%
👍
21
3.96%
❤🔥
20
3.77%
😍
19
3.58%
💯
5
0.943%
🥰
4
0.755%
🙏
2
0.377%
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 19 of the 20 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 530 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 29 July 2026 to 1 September 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.
9 месяцев я хожу в зал 3 раза в неделю
понедельник
среда
пятница
без «ой, сегодня нет настроения», без поиска мотивации и без обещаний начать с нового месяца))
// хотя первые месяцы, конечно, периодически хотелось послать всё это //
и недавно я поняла одну вещь:
почти всё, чем я сейчас горжусь, когда-то очень долго не давало мне никакого результата
▪️первые полгода мои Reels почти никто не смотрел
▪️речь я до с…
🎤 возвращаюсь к теме речи из подкаста
там я очень уверенно сказала, что у меня в канале куча уроков по речи, пошла сегодня собирать их для вас и выяснила, что моя «куча» — это два материала 😂
ну ладно…
зато оба действительно полезные, и я бы советовала начать именно с них:
▪️ подкаст: как уверенно держаться в кадре и красиво говорить
разобрала, почему мы зажимаемся перед камерой, что мешает говорить уверенно и ка…
🎙 Продвижение FM: 5 вещей, которые я бы прокачивала в Reels В ПЕРВУЮ ОЧЕРЕДЬ
раз уж вчера показывала вам, как сейчас разгоняется один из моих Reels — сегодня решила записать на эту тему новый выпуск «Продвижение FM» 🤍
и рассказать, какие 5 вещей я бы сама прокачивала в первую очередь, если хочется, чтобы ролики набирали больше просмотров и их лучше досматривали
слушать рекомендую на 1,5х
в подкасте рассказала:
▪…
позавчера вечером у этого Reels было 0 просмотров
сейчас уже — 876 000, и он всё ещё продолжает расти🤍
не буду врать, смотреть на такое приятно 😂))
особенно люблю момент, когда заходишь проверить ролик спустя пару часов, а там ещё +100–200 тысяч))
посмотрим, куда доедет 🫶🏼
🎙 Юля, объясни: с чего начать, если вы полный новичок в нейросетях
в подкасте рассказала: ▪️ какие нейросети я бы изучала в первую очередь и почему вам не нужны десятки сервисов ▪️ почему ChatGPT часто пишет слабые промпты и что влияет на результат ▪️ как исходники и референсы влияют на AI-фото ▪️ почему нейросеть иногда вообще не понимает, что вы от неё хотите ▪️ что учитывать, если создаёте визуал для блогера или …
ИНСТРУКЦИЯ: как собрать себе летнюю фотосессию через нейросеть
// использовала Syntx AI //
1️⃣ Открываем генерацию фото
заходим в бот и идём по маршруту:
▪️ «Меню» → «Изображение»
▪️ выбираем NanoBanano
▪️ открываем «Настройки модели» и ставим:
— модель: NanoBanano Pro
— качество: 2К или 4К (я обычно ставлю 2К, но если хочется максимально чёткую картинку можно выбрать 4К)
— формат: 9:16
▪️после этого нажимаем «Сохр…
давно не приносила вам подборку промтов для нейрофото
// сегодня исправляюсь 😁//
собрала летние варианты, которые можно адаптировать под себя:
пляж, солнце, подсолнухи, отпускной вайб, в общем - красивые кадры для блога
если набираем 70 реакций, следующим постом выкладываю промты 🤍
Инструкция: как разобрать свои отношения с помощью ChatGPT по дате рождения
// если вам нравится шоу «Натальная карта» или любите всякие разборы про себя, вам точно зайдёт //
1️⃣ Куда заходить и что нажимать
▪️ заходим на сайт Syntx AI
▪️ открываем раздел «Текст»
▪️ выбираем нейросеть ChatGPT
▪️ модель: GPT 5.6
2️⃣ Делаем разбор себя
в одно сообщение вставляем:
▪️свою дату рождения, для более точного разбора укажи…
помните, я месяц назад писала, что не хочу вести канал в формате «вот вам это, потому что я сегодня так решила»?
// я тогда ещё устроила опрос, чтобы лучше понять: кто вы, что вам интересно и что вам правда нужно //
а дальше мне жизнь сказала:
сначала день рождения, свадьба, поездки, потом уже твоя аналитика 😁
в общем, ответы всё это время лежали и ждали своего часа
и вот сейчас я к ним вернулась - и, кажется, нак…
🔥22❤4
Showing the 12 most recent of 20 posts we hold for @juli_ivanova_reels. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 29 July 2026 to 1 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Юлия | PRO REELS” (@juli_ivanova_reels), 21,832 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/juli_ivanova_reels.
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.