23 measurements spanning 24 days, net +167. 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 47,113–47,844 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
31 Aug 2026, 07:38
47,760
+19
30 Aug 2026, 05:38
47,741
+65
29 Aug 2026, 03:44
47,676
+37
28 Aug 2026, 05:35
47,639
+47
27 Aug 2026, 02:48
47,592
+37
26 Aug 2026, 05:13
47,555
+11
25 Aug 2026, 07:32
47,544
+49
24 Aug 2026, 07:36
47,495
+128
22 Aug 2026, 13:38
47,367
+1
21 Aug 2026, 01:34
47,366
-1
20 Aug 2026, 02:01
47,367
-1
18 Aug 2026, 23:33
47,368
+61
17 Aug 2026, 21:04
47,307
+110
16 Aug 2026, 17:34
47,197
-16
15 Aug 2026, 01:54
47,213
-52
13 Aug 2026, 17:17
47,265
-46
12 Aug 2026, 19:17
47,311
-42
11 Aug 2026, 18:12
47,353
-45
10 Aug 2026, 18:05
47,398
-11
9 Aug 2026, 20:21
47,409
first reading
Engagement
17 posts held, back to 21 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.8%
avg views ÷ 47,760 subscribers
Avg views / post
6,140
12 posts measured
Reaction rate
0.687%
reactions ÷ views · ER floor
Posts in window
13
of 17 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 23 August 2026
Posts held
17 (21 July 2026 – 23 August 2026)
Views total
73,620
Reactions total
506
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Aug 2026, 16:08 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
404
Videos
67
Links
162
Lifetime counters from Telegram’s own channel header, read 31 August 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 18s
Average length
39s
Measured directly from 2 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
4,379 reactions across 16 posts, in 10 distinct kinds. The most used accounts for 61.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,696
61.6%
🔥
936
21.4%
🥰
472
10.8%
🙏
78
1.78%
🤩
76
1.74%
😍
58
1.32%
❤🔥
41
0.936%
😎
11
0.251%
💯
6
0.137%
👍
5
0.114%
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 16 of the 17 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 4,379 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 21 July 2026 to 23 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
29
across the posts below
Posts paid on
3
of 16 we hold a reading for · 19%
Most on one post
26
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @prodlx. 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 17 most recent posts we hold for this entry, published 21 July 2026 to 23 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.
МНЕ ПОНАДОБИЛОСЬ 3 ГОДА
чтобы понять то, что я завтра начну отдавать вам в SYSTEM 🤩
И я сейчас смотрю на свои первые видео и мне одновременно очень смешно и очень хочется себя тогда обнять))
Я не умела ставить свет, нормально снимать и монтировать. Не понимала, как работают Reels, что показывать в Stories, как упаковывать профиль, откуда брать подписчиков и как вообще сделать так, чтобы блог начал приносить деньги
…
3 ДНЯ ДО СТАРТА SYSTEM, ГОСПОДИ, Я ТАК ДОЛГО К ЭТОМУ ШЛА 🤍
Последние месяцы я буквально жила этим обучением: записывала уроки, переделывала их, тестировала программу, смотрела, что работает у ребят, докручивала задания
И сейчас до первого потока осталось 3 дня))
И знаете, о чём я думаю?
Сколько крутых специалистов сейчас из этого получится 😍
Сколько блогов через несколько месяцев я буду открывать и думать: «бляяя, …
А ЕСЛИ ЗАВТРА У ВАС НЕ БУДЕТ РАБОТЫ? 👀
неважно, вы в найме или работаете на себя
Компания сокращает должность. Главный клиент уходит. Проект заканчивается. И вот здесь вопрос — сколько людей уже знают, что вы классный специалист?
Не от бывших коллег, которым можно срочно написать: «ребят, у вас там никого не ищут?», а от людей, которые сами вспомнят про вас, когда им понадобится человек с вашей экспертизой
Я посто…
ПОКА ВЫ НЕ ПРОШЛИ МОНТАЖ, МНЕ ПРИХОДИТСЯ ПРЕПОДАВАТЬ ЛИЧНО 😂
Хожу, показываю, куда нажимать, что куда накладывать...
Кого-нибудь узнали на видео? 👀
А вообще недавно я сделала то, чего раньше не делала — впервые открыла в закрытом клубе настоящий урок из SYSTEM
Причём именно по монтажу, про который вы спрашиваете у меня постоянно))
Я отдала один из приёмов, который сама использую буквально в каждом втором Reels — к…
4991 → 83 400 ПРОСМОТРОВ
и это нулевой поток 🤩
Я сейчас обучаю кураторов для SYSTEM, и параллельно они сами проходят всю систему на практике
То есть это буквально нулевой поток: мы тестируем, докручиваем, смотрим, где нужно объяснить подробнее, где добавить задание, где человек может застрять
И вот один из результатов ↓
Прикрепляю два видео одной ученицы
До — 4991 просмотров
После — 83 400
И мне здесь даже не са…
КУДА УХОДЯТ ВАШИ КЛИЕНТЫ? И ПОЧЕМУ? 🤩
В маркетинге есть понятие Category Entry Points — точки входа в категорию. Звучит душно, но сама мысль мне очень нравится))
Допустим, есть два дизайнера
Первый постоянно показывает красивые проекты, рассказывает про дизайн, выкладывает жизнь. На него приятно смотреть, его даже запоминают
А второй регулярно появляется в контексте конкретных ситуаций:
→ «запускаете продукт — вот…
КТО НЕ ПОПАЛ НА «СИСТЕМУ БЛОГА»?
В воскресенье мы провели большой бесплатный вебинар про блог. И судя по тому, сколько потом прилетело сообщений «ЯНААА, А ЗАПИСЬ БУДЕТ?» — надо было сразу понимать, чем всё закончится 😂
Запись будет 🤍
Если вы пропустили эфир, можно посмотреть его сейчас
Там я показываю:
— почему блог может не расти, даже когда вы реально много делаете
— чем отличаются Reels на охваты, подписку и пр…
😄 До вебинара остался всего 1 день
Уже завтра в 15:00 встречаемся на бесплатном вебинаре «СИСТЕМА БЛОГА»
Мне очень хочется, чтобы после этого эфира вы наконец перестали искать проблему там, где её нет, потому что многие думают, что блог не растёт:
— из-за Reels
— из-за монтажа
— из-за оформления
— из-за алгоритмов
а потом проходит полгода... и ничего не меняется))
На вебинаре покажу, почему блог может стоять на мес…
😍 Кажется, Instagram решил обновить вообще всё
Пока все обсуждают охваты, платформа тихо выкатывает одну функцию за другой. Часть уже появилась у многих, а другая часть только раскатывается
И если честно... некоторые обновления реально классные))
Сделала для вас одну большую подборку. Листайте карусель 🤍 И да... обратите внимание на слайд про чужой контент
И маленький совет
Не пытайтесь запомнить всё, что есть в …
Showing the 12 most recent of 17 posts we hold for @prodlx. 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
@prodlx edited 1 post 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
12 August 2026
Most recent edit
12 August 2026
Citation-graph rank
Citation-graph rank — 395,715 of 1,629,372 entries 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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 31 August 2026 — this
entry's latest reading, not the date you are reading this.
“Яна ProDesign” (@prodlx), 47,760 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/prodlx.
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.