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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
58 measurements spanning 90 days, net +343. 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 21,198–21,802 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
5 Nov 2026, 11:38
21,611
-9
4 Nov 2026, 13:34
21,620
-15
3 Nov 2026, 13:07
21,635
-18
2 Nov 2026, 14:28
21,653
-8
1 Nov 2026, 10:56
21,661
-7
31 Oct 2026, 08:54
21,668
-9
30 Oct 2026, 05:31
21,677
+5
29 Oct 2026, 08:21
21,672
-12
28 Oct 2026, 05:09
21,684
+4
27 Oct 2026, 05:29
21,680
+4
26 Oct 2026, 02:28
21,676
+6
25 Oct 2026, 05:20
21,670
-2
24 Oct 2026, 06:46
21,672
-3
23 Oct 2026, 07:56
21,675
+1
22 Oct 2026, 08:19
21,674
-16
21 Oct 2026, 03:06
21,690
-6
20 Oct 2026, 01:08
21,696
+1
19 Oct 2026, 04:05
21,695
-10
17 Oct 2026, 07:01
21,705
-22
16 Oct 2026, 04:28
21,727
first reading
Engagement
80 posts held, back to 17 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 74 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.2%
avg views ÷ 21,611 subscribers
Avg views / post
5,230
35 posts measured
Reaction rate
2.68%
reactions ÷ views · ER floor
Posts in window
35
of 80 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 5 November 2026
Posts held
80 (17 July 2026 – 5 November 2026)
Views total
183,180
Reactions total
4,918
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 02:51 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
846
Videos
79
Links
329
Lifetime counters from Telegram’s own channel header, read 6 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
9m 08s
Average length
1m 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
13,165 reactions across 80 posts, in 14 distinct kinds. The most used accounts for 43.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,659
43.0%
🔥
3,926
29.8%
❤🔥
1,376
10.5%
😁
907
6.89%
👍
751
5.70%
😎
120
0.912%
🤯
108
0.82%
🤔
102
0.775%
🕊
50
0.38%
👏
47
0.357%
🐳
43
0.327%
🌚
40
0.304%
😢
23
0.175%
😱
13
0.099%
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 80 of the 80 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 13,165 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 17 July 2026 to 5 November 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
168
across the posts below
Posts paid on
41
of 80 we hold a reading for · 51%
Most on one post
50
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @noukashblog. 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 80 most recent posts we hold for this entry, published 17 July 2026 to 5 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 11 of 35 posts held from the last 30 days (31.4%) 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).
Всем спасибо, кто пришел на стрим!!!!
♥️Лампово посидели и много чего обсудили
Разобрали оч много вопросов, прошлись по примерам оформления опыта, аутрича в Линкдин и поговорили про будущее профессий.
Запись и презентация + скидка на ближайший поток курса "От 0 до оффера" ЗДЕСЬ — ССЫЛКА
Ребята, к стриму прислали больше ста вопросов 🤯
СЕГОДНЯ будет ТОП. Разложил всё по темам, вот что будем разбирать:
📝️️️️️️РЕЗЮМЕ РЕЗЮМЕ РЕЗЮМЕ. ЧТО ПИСАТЬ. КАК ПИСАТЬ. ЧТО СЧИТАЕТСЯ РЕЗУЛЬТАТОМ, обязательно ли следовать стандартным формулам и как подходить к переписыванию резюме
🧩 LinkedIn. Работает ли он как нетворк на западном рынке, нужен ли вообще в эпоху ИИ и что писать людям, чтобы получить реферал, а не игн…
Смотрим выборы в Америке!!
Сейчас проходят выборы в Сенат и Палату представителей.
Мы собрались с нашими друзьями пенсионерами американцами и смотрим результаты лайв!
🍺Взяли пива и пиццы и наслаждаемся!! Американская политика это оооооочень интересно
💙💙💙Похоже будет синяя волна и большинство будет у демократов и в Сенате и в Палате представителей! Впервые за 40 лет у Техаса будет демократ в Сенате и губернатор 😱
СТРИМ! Ребята - в четверг провожу стрим для всех, кто сейчас ищет работу.
Тема - Поиск работы на западном рынке в 2026. Новые тренды, AI в ATS, новые форматы интервью и все, что помогает найти работу в это нелегкое время.
❓️️️️️️️ О ЧЕМ СТРИМ? Я РАЗБЕРУ:
📝️️️️️️ Как написать идеальное резюме, которое скушает любой AI ATS, чтобы вас позвали на собеседования
🔍️️️️️️ Как меняются собеседования. Покажу формы для инте…
Проведу в четверг карьерный стрим!! Расскажу про рынок, дам полезные лайфхаки по поиску работы, покажу инсайдерскую информацию из ДорДаша по найму 🤫
Из интересного - теперь с AirCareer я вижу по логам какие резюме получают собеседования, а какие нет - и могу на этом тренировать свою модель. Моя цель использовать эти данные (в анонимизированном общем виде конечно), чтобы помогать всем получать собесы!
НУ И ПРОСТО П…
Life update: WE ARE SO BACK!
Чувствую прилив сил и ВЕЛИКОЛЕПНОЕ настроение (это не маничка честное слово 😁).
За этот месяц AirCareer выходит на $10.000 МРР!
Всем хорошей недели ❤️
Посмотрите какое чудесное промо AirCareer я собрал с Claude + Eleven labs
Смотреть со звуком 🔉
Claude сделал весь дизайн + анимации, а звуки + музыка это eleven labs.
Самое сложное тут было это сделать музыку в такт тому, что происходит на экране - он все время пытался сделать ambient. Для этого мы расписали ключевые моменты по секундам, чтобы он понимал в генерации, где нужно сделать акцент.
📚Первые версии, ко…
Хвалим себя даже из состояния паники
У меня паничка на этой неделе потому что я приболел))
Каждый раз, когда я болею - на меня накатывает страх, что я никогда больше не смогу жить как раньше и теперь я ничего не могу
Я начинаю цепляться за крупицы энергии и пытаться что-то вымучать. Оооочень сложно расслабиться и полностью уделить время восстановлению, когда сил вообще нет.
При этом в обычном режиме я уже научи…
Снял можно сказать свой первый полноценный рилз в инстаграм!
ВОТ ОН РОДНЕНЬКИЙ
Во первых узнал, что то что я делаю называется Founder-Led-Distribution! Не хухры мухры, блогер, а FOUNDER LED.
🔥Во вторых я в приятном шоке насколько хорошо работает ПРОСТО РАССКАЗЫВАТЬ про свой продукт и то, что ты делаешь. AirCareer уже на отметке $2900 MRR и похоже нас не остановить.
Для меня отметка к которой я стремлюсь - $10k MR…
Рассказываю про успехи и планы нашего стартапа в видео
Вышло видео на канале, где я делюсь успехами AirCareer после второй недели, нашими планами, мыслями и первыми победами. Внутри:
🔎 Рассказываю как я написал скауту крупного венчурного фонда и что он ответил.
💸Показываю сколько мы заработали, делюсь нашей выручкой
🫂️️️️️️Показываю отзывы от первых пользователей и делюсь их победами
♥️Просто рассказываю про то…
Что посмотреть из англоязычного контента?
🇺🇸 Если вы хотите больше смотреть и слушать на английском, но не знаете с чего начать. Для вас вышел большой видос моего друга Миши Сеина - в котором он с приглашенными гостями (Я ТАМ ТОЖЕ ЕСТЬ) разбирают че вообще смотреть на англоязычном ютубе/инстаграме/тик-токе
🤓Я сам на 90% потребляю англоязычный контент и за долгие годы уже оброс пониманием какие каналы/блогеры/подк…
ТВОЯ САМАЯ ВАЖНАЯ РАБОТА ЭТО ПОДДЕРЖИВАТЬ СЕБЯ В ХОРОШЕМ НАСТРОЕНИИ ПОЭТОМУ ХВАЛИТЬ СЕБЯ
🤖️️️️️️Большой прорыв у меня в "продуктивности" произошел когда я понял, что мне нужно фокусироваться не на том как БОЛЬШЕ работать и ЧТО конкретно сделать - а на том, чтобы поддерживать себя в хорошем состоянии.
Я в хорошем настроении могу сделать 10 дел за день и не устать.
Я в плохом - буду сидеть тупить в пустой экран.
…
❤102🔥36❤🔥7👍3😎1
Showing the 12 most recent of 80 posts we hold for @noukashblog. 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.
Posts edited after publishing
@noukashblog edited 2 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
29 August 2026
Most recent edit
3 November 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
Named by 3 registered channels — 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.
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.
No Data No Growth | Pavel Bukhtik @nodatanogrowth · 12,783#1
AB тесты и все вот про это вот все @abtesting_full · 1,867 (as read 23 September 2026)#95
Read from Telegram’s recommendation API, most recently 23 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.
Job for Analysts & Data Scientists @foranalysts · 37,758 Telegram ranks this channel #74 of 96 here — alongside 95 others — read 1 September 2026
karpov.courses @KarpovCourses · 27,307 Telegram ranks this channel #82 of 96 here — alongside 95 others — read 10 September 2026
This channel appears in 2 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Noukash” (@noukashblog), 21,611 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/noukashblog.
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.