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Channel

Влад Морозов | Про контент и ИИ

@bymorozow

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

10,867subscribers

-449 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002265875440
TypeChannel
Username@bymorozow
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/bymorozow

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 91% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@bymorozow/1168 · this entry29 Jul 2026, 12:06 UTC@bymorozov1/435629 Jul 2026, 12:06 UTC1.00under a minute
@bymorozow/1171 · this entry30 Jul 2026, 12:53 UTC@bymorozov1/435930 Jul 2026, 12:54 UTC1.00under a minute
@bymorozow/1172 · this entry30 Jul 2026, 17:07 UTC@bymorozov1/436030 Jul 2026, 17:07 UTC1.00under a minute
@bymorozow/1180 · this entry3 Aug 2026, 13:45 UTC@bymorozov1/43693 Aug 2026, 13:45 UTC1.00under a minute
@bymorozow/1181 · this entry4 Aug 2026, 09:37 UTC@bymorozov1/43704 Aug 2026, 09:39 UTC1.0072 seconds
@bymorozow/1184 · this entry5 Aug 2026, 08:22 UTC@bymorozov1/43735 Aug 2026, 08:22 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@bymorozov111 (8/8 hand-verifiable sample passed)0.99under a minutethis entry (101)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 11 comparable posts for this entry, running 29 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @bymorozow — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

10,86711,36311,1157 August 2026 — 11,316 subscribers7 August 2026 — 11,312 subscribers8 August 2026 — 11,332 subscribers9 August 2026 — 11,344 subscribers10 August 2026 — 11,363 subscribers11 August 2026 — 11,347 subscribers13 August 2026 — 11,342 subscribers14 August 2026 — 11,319 subscribers15 August 2026 — 11,309 subscribers17 August 2026 — 11,294 subscribers18 August 2026 — 11,283 subscribers19 August 2026 — 11,275 subscribers20 August 2026 — 11,263 subscribers22 August 2026 — 11,235 subscribers23 August 2026 — 11,221 subscribers25 August 2026 — 11,176 subscribers26 August 2026 — 11,142 subscribers27 August 2026 — 11,120 subscribers28 August 2026 — 11,106 subscribers29 August 2026 — 11,101 subscribers30 August 2026 — 11,084 subscribers31 August 2026 — 11,070 subscribers1 September 2026 — 11,065 subscribers2 September 2026 — 11,033 subscribers3 September 2026 — 11,014 subscribers5 September 2026 — 11,003 subscribers8 September 2026 — 10,959 subscribers11 September 2026 — 10,940 subscribers13 September 2026 — 10,927 subscribers14 September 2026 — 10,906 subscribers16 September 2026 — 10,889 subscribers19 September 2026 — 10,867 subscribers7 August 202619 September 2026
32 measurements spanning 43 days, net -449. 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 10,793–11,437 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
19 Sept 2026, 05:2010,867-22
16 Sept 2026, 17:1910,889-17
14 Sept 2026, 21:1910,906-21
13 Sept 2026, 04:3710,927-13
11 Sept 2026, 06:1810,940-19
8 Sept 2026, 11:5910,959-44
5 Sept 2026, 05:5911,003-11
3 Sept 2026, 10:5911,014-19
2 Sept 2026, 04:1911,033-32
1 Sept 2026, 02:4611,065-5
31 Aug 2026, 03:5411,070-14
30 Aug 2026, 06:0811,084-17
29 Aug 2026, 06:5711,101-5
28 Aug 2026, 04:0311,106-14
27 Aug 2026, 01:3211,120-22
26 Aug 2026, 02:5211,142-34
25 Aug 2026, 01:3411,176-45
23 Aug 2026, 16:1811,221-14
22 Aug 2026, 00:1311,235-28
20 Aug 2026, 16:2511,263first reading

Engagement

34 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 42 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.52%
avg views ÷ 10,867 subscribers
Avg views / post
383
5 posts measured
Reaction rate
2.82%
reactions ÷ views · ER floor
Posts in window
5
of 34 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
WindowRolling 30 days · latest post in window 1 September 2026
Posts held34 (29 July 20261 September 2026)
Views total1,915
Reactions total54
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 02:15 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
32m 43s
Average length
4m 40s

Measured directly from 7 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

358 reactions across 32 posts, in 22 distinct kinds. The most used accounts for 54.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥19554.5%
5916.5%
💯185.03%
😁133.63%
👏113.07%
😱92.51%
👍82.23%
🏆61.68%
🤣61.68%
🥰61.68%
🆒41.12%
🙏41.12%
30.838%
😍30.838%
🌭20.559%
🍾20.559%
🤩20.559%
🤬20.559%
🤯20.559%
❤‍🔥10.279%
2 further kinds20.559%

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 32 of the 34 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 358 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 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.

Recent posts

1 Sept 2026, 12:03 UTC198 views7 reactionsread 3 September 2026
Photo

Нейросети отправили меня в отпуск!🫨 Да-да, буквально на днях прилетел на Алтай, чтобы немного перегрузиться. НО! Работа по всем моим проектам продолжается, только уже руками ИИ. Пока я здесь провожу время с семьей, езжу в горы и просто отдыхаю. Нейросети за это время: придумывают контент, монтируют его, получают просмотры и подписки, а далее сами переводят аудиторию в воронки, где продают. Заодно собирают новый пр

🔥511

26 Aug 2026, 18:00 UTC548 views18 reactionsread 3 September 2026
Photo

Сегодня целый день тусовался с КЛОДОМ😅 Придумывал разные прикольные штуки и создал еще одну платформу для анализа роста своих акаунтов в соцсетях! Да так, что все ЛИМИТЫ на максимальной версии исчерпал😂😂 Теперь вот сижу жду их обновления и думаю.. как же офигенно, что у нас есть вот такая возможность, реализовывать любую идею Причем мне еще недавно казалось, что такие вещи стоят миллионы рублей и требуют вовлечени

🔥115👏2

25 Aug 2026, 17:02 UTC499 views9 reactionsread 3 September 2026
Photo

Залипаю в парсере уже который час🫨 Буквально за пару вечером собрали парсер для поиска трендового контента, который анализирует весь Инст и находит аномалии. Дальше по плану интегрировать его в контент-завод и получать еще больше охватов! Поставьте реакцию, кто хотел бы получить к нему доступ👇

🔥71👍1

25 Aug 2026, 14:22 UTC420 views8 reactionsread 3 September 2026
Video message

Video message, posted without a caption

🔥61😱1

24 Aug 2026, 16:18 UTC450 views9 reactionsread 3 September 2026
Voice message

Как НЕЙРО-БЛОГ может изменить ваши результаты?👀 ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Разобрал подробно в подкасте: — зачем он нужен каждому — какие результаты можно получить — преимущества перед личным блогом С Вас много реакций и показываю как их создать👇🏼

4🔥3👍2

24 Aug 2026, 13:58 UTC443 views9 reactionsread 3 September 2026
Photo

Вот так растут нейро-блоги у участников Акселератора🔥 ИИшка сама находит трендовые темы, сама создает сценарий, сама монтирует и сама выкладывает😁 Какая самостоятельная ИИшка получается🤣

😁5👍2😍2

24 Aug 2026, 08:47 UTC427 views14 reactionsread 3 September 2026
Photo

Сейчас с головой решил погрузиться в ИИшку и ОХРЕНЕЛ! ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Я захотел сделать парсер, который ищет залетевший контент во всем мире, именно по моей теме, и выдает готовые сценарии Не стал пользоваться чужими, т.к. нужно чтобы он искал по определенным параметрам и далее писал готовые сценарии по структуре На сборку такого раньше ушли бы месяцы и заплатить нужно было бы миллионы, а сейчас можно

🔥11🤯21

21 Aug 2026, 09:59 UTC504 views6 reactionsread 3 September 2026
Photo

Reels больше не работают! Как растить сейчас соцсети?🫨 Очень часто слышу от многих: «вот я снимаю, а результат нулевой..», давайте в этом посте я разберу частую проблему «незалетов» и поделюсь тем, что сейчас работает. Для начала важно смотреть на то, что вообще работало раньше: — в 2023м очень хорошо набирали просмотры разговорные видео — в 2024м сюжетные рилсы со сторителингом — в 2025м посты-карусели и тестовые

🔥3👍21

17 Aug 2026, 09:15 UTC603 views28 reactionsread 3 September 2026
Video

Мы тут такие фишки накопали с нейронками, соцсети держитесь!🤯 Теперь можно все собрать в одном месте и он сам будет: анализировать тренды, писать сценарий, создавать нейро-аватар и сам озвучивать, добавлять видеоподложки, монтировать это все, дак еще и выкладывать) Плюс можно вести огромное количество блогов, да еще и на разные темы, и не нужно иметь супер эксперстность в этом. И миллионы просмотров в кармане, на к

🔥23🙏3💯2

14 Aug 2026, 11:31 UTC844 views7 reactionsread 3 September 2026
Photo

💬 Что за меня сейчас делают нейросети? — или как ИИ буквально освободил мою жизнь Ещё недавно я отрицал использование ИИ. Я реально думал, что меня невозможно заменить. И даже говорил всем вокруг: «ДА Я НИКОГДА НЕ БУДУ ИМИ ПОЛЬЗОВАТЬСЯ!» Кто это помнит?😂 А сейчас на меня ежедневно работает больше 20 ИИ-ассистентов. Причём каждый отвечает за свою задачу. По сути, у меня появилась цифровая команда, которая работает 2

🔥3👏21😍1

13 Aug 2026, 12:16 UTC855 views8 reactionsread 3 September 2026
Video

🔥 КАК И НА ЧЁМ ЗАРАБАТЫВАТЬ С ПОМОЩЬЮ ИИ? Сегодня это уже не просто инструмент, который помогает быстрее писать тексты или создавать картинки. С помощью ИИ можно создавать услуги, запускать собственные продукты, привлекать клиентов и даже выстраивать целые системы продаж. В новом видео я разобрал конкретные модели, которые можно использовать уже сейчас. ▶️ СМОТРЕТЬ НА YOUTUBE 📌 В видео разобрал: • 6 способов зар

5🆒2🔥1

Showing the 12 most recent of 34 posts we hold for @bymorozow. 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.

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.

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.

“Влад Морозов | Про контент и ИИ” (@bymorozow), 10,867 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/bymorozow.

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.