Education — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
33 measurements spanning 41 days, net +352. 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 11,926–12,417 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 12:20
12,335
+2
15 Sept 2026, 14:41
12,333
-11
14 Sept 2026, 00:19
12,344
-16
12 Sept 2026, 10:40
12,360
+12
10 Sept 2026, 07:57
12,348
+55
7 Sept 2026, 03:36
12,293
+87
4 Sept 2026, 09:36
12,206
+15
2 Sept 2026, 18:42
12,191
+19
1 Sept 2026, 16:13
12,172
+26
31 Aug 2026, 16:44
12,146
+13
30 Aug 2026, 19:25
12,133
+16
29 Aug 2026, 19:04
12,117
+19
28 Aug 2026, 16:46
12,098
+2
27 Aug 2026, 18:03
12,096
+7
26 Aug 2026, 17:09
12,089
+3
25 Aug 2026, 17:09
12,086
+18
24 Aug 2026, 18:29
12,068
-9
23 Aug 2026, 00:04
12,077
+1
21 Aug 2026, 15:17
12,076
-7
20 Aug 2026, 10:43
12,083
first reading
Engagement
44 posts held, back to 18 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.8%
avg views ÷ 12,335 subscribers
Avg views / post
1,830
12 posts measured
Reaction rate
4.34%
reactions ÷ views · ER floor
Posts in window
12
of 44 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 1 September 2026
Posts held
44 (18 July 2026 – 1 September 2026)
Views total
21,980
Reactions total
954
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 22:50 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
41m 12s
Average length
5m 09s
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
2,951 reactions across 41 posts, in 9 distinct kinds. The most used accounts for 78.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
2,311
78.3%
👍
471
16.0%
❤🔥
111
3.76%
👏
22
0.746%
⚡
12
0.407%
🏆
9
0.305%
🆒
8
0.271%
👌
4
0.136%
custom 5368529160870306132
3
0.102%
Custom emoji. One row above is a 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 count beside it is 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 41 of the 44 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 2,951 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 18 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.
Telegram Stars
Stars received
11
across the posts below
Posts paid on
7
of 41 we hold a reading for · 17%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @youtubedenzltg. 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 44 most recent posts we hold for this entry, published 18 July 2026 to 1 September 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.
Ниша для новичков, бери не думая.
записал урок.
На канале 8 млн просмотров за 30 дней.
Мои мастер промпты здесь
https://disk.yandex.ru/i/wkXDPpb9xMh1uQ
Ставь 🔥, газанем для след ниши )
Приватная группа 900+ ниш и монтаж
"нейромания"
-живые созвоны
-разборы каналов
-мастер классы
https://denzlstore.tilda.ws/neiromaniya_info
Продолжается набор в 16-й поток полного обучения по ютубу.
Сейчас занято 22 места с супер бонусами.
ВыделЯю еще несколько мест, потом скорее всего уже сделаю без бонусов.
Начало обучения 19 сентября и продлится до 10 декабря.
Вся информация здесь:
https://denzlstore.tilda.ws/shkolayoutuba
Если нужно задать вопросы я здесь:
@denis_trener
Обещал? Сделал!
Вот полный урок по этой нише.
https://www.youtube.com/@Mr.Why13/videos
Мои мастер промпты здесь
https://disk.yandex.ru/i/U2zTQ_g8kn5iDw
Ставь 🔥, увижу сколько здесь работяг по ютубу
https://youtu.be/CT5PtnpiCws?si=672H70OpoQHUUw1U
Для тех кто желает обучаться в школе ютуба и закрыть все пробелы а так же приобрести навыки до проф уровня.
Чтобы быстрее заработать и больше не топтаться на месте я сделал полный обзор своей школы ютуба.
На данный момент уже 17 участников, мест осталось мало.
Личка @denis_trener
Ниша крутая, делается элементарно с моим мастер промптами за пару часов.
Дарю свой урок.
Пробуйте. Конкурентов мало.
https://www.youtube.com/@MinecraftCozy1/videos
Промпты тут
https://disk.yandex.ru/i/WPeHGNim-i9Yhg
Приватная группа по нейросетям
900+ ниш
уроки по монтажу
мастер классы
https://denzlstore.tilda.ws/neiromaniya_info
Всем привет! Как обещал вот хорошая ниша с ИИ.
https://www.youtube.com/@Mr.Why13
Такая тема делается легко.
Возможно использование вьетнамского софта для быстрой генерации.
Плюсы?
нет референсов, тупо один стиль стикмен + фото и видео анимация.
Затраты минимальные.
Можно обойтись одной подпиской вьетнамского софта вео 3.
Советую делать именно на русскоязычную аудиторию, тут сейчас мало конкуренции
Ставь 👍 и есл…
🔥Набор в 16-й поток открыт!🔥
Это полное с нуля обучение работе по заработку на ютубе.
Подойдет абсолютно всем:
✔️без опыта
✔️без знания языков
✔️без съемок
✔️мамам в декрете
✔️совмещая с обычной работой
✔️тем кто собирается переехать в другую страну
🏃♂Работая от 2-х часов в день вы сможете организовать себе сеть ютуб каналов, которая в долгосрочной перспективе будет приносить дополнительный заработок , или основной…
Всем привет!
Многие до сих пор сталкиваются с проблемой оплаты нейросетей и зарубежных сервисов.
Так же сами веб сервисы по онлайн картам стали блокировать.
Я часто создаю виртуальные карты даже для того, чтобы просто не забыть что у меня за подписка.
Потому что такое часто бывает, списываются деньги, а ты уже забыл за что и обидно когда за год набегает сумма в размере 200-300 долларов за не понятные подписки.
Коро…
Отлично коллеги! Вот еще 2 ниши!
https://www.youtube.com/@maxedgesurv/videos
https://www.youtube.com/@TheStateExplorer-z4j/videos
Наберем 150🔥 дам еще
🔥182
Signed Denzl
Showing the 12 most recent of 44 posts we hold for @youtubedenzltg. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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
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.
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.
Асан Дедлайн (Все про 🇺🇸Ютуб) @dadlineasan · 59,270 Telegram ranks this channel #8 of 42 here — alongside 41 others — read 22 August 2026
Всё для видеомонтажа @dzhmaterials · 34,071 Telegram ranks this channel #29 of 56 here — alongside 55 others — read 3 September 2026
Деньги Есть! 🏆 dengi4444 @dengi4444 · 24,048 Telegram ranks this channel #33 of 74 here — alongside 73 others — read 17 September 2026
AI Guy @ai_guy_official · 30,058 Telegram ranks this channel #36 of 42 here — alongside 41 others — read 15 September 2026
Serge_AI 1.0 @serge_ai · 57,484 Telegram ranks this channel #79 of 99 here — alongside 98 others — read 23 August 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“DenzL YouTube club (НИШИ,ГАЙДЫ,МОНТАЖ) 🇺🇸” (@youtubedenzltg), 12,335 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/youtubedenzltg.
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.