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Channel

Деньги на фотостоках

@kurilov_stocks

Not marked by Telegram, checked 23 August 2026

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Telegram's recommendations · Cite this entry

5,872subscribers

-218 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002238288857
TypeChannel
Username@kurilov_stocks
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/kurilov_stocks

Topic

Education — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 57% 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.

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 2 other registered channels. 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
@kurilov_neiro/101426 Mar 2026, 11:52 UTC@kurilov_stocks/222 · this entry26 Mar 2026, 11:52 UTC1.00under a minute
@kurilov_neiro/10162 Apr 2026, 14:13 UTC@kurilov_stocks/223 · this entry2 Apr 2026, 14:13 UTC1.00under a minute
@kurilov_neiro/101810 Apr 2026, 10:28 UTC@kurilov_stocks/225 · this entry10 Apr 2026, 10:28 UTC1.00under a minute
@kurilov_neiro/102715 May 2026, 12:59 UTC@kurilov_stocks/233 · this entry15 May 2026, 13:00 UTC1.0072 seconds
@kurilov_neiro/102821 May 2026, 13:17 UTC@kurilov_stocks/234 · this entry21 May 2026, 13:20 UTC1.002 minutes
@kurilov_neiro/10295 Jun 2026, 10:37 UTC@kurilov_stocks/235 · this entry5 Jun 2026, 10:39 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@kurilov_neiro19 (8/8 hand-verifiable sample passed)1.00under a minute@kurilov_neiro (17–2)
@ykurilov_infobiz16 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (13–3)

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. 1 of the 20 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 28 February 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 3, the earliest publisher we hold is @kurilov_neiro. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · 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 2 other registered channels, 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

5,8716,0925,981.57 August 2026 — 6,090 subscribers7 August 2026 — 6,090 subscribers7 August 2026 — 6,092 subscribers11 August 2026 — 6,087 subscribers14 August 2026 — 6,085 subscribers17 August 2026 — 6,077 subscribers21 August 2026 — 6,070 subscribers24 August 2026 — 6,059 subscribers28 August 2026 — 6,039 subscribers30 August 2026 — 6,027 subscribers3 September 2026 — 6,017 subscribers8 September 2026 — 6,003 subscribers12 September 2026 — 5,990 subscribers15 September 2026 — 5,984 subscribers1 October 2026 — 5,950 subscribers7 October 2026 — 5,939 subscribers13 October 2026 — 5,926 subscribers16 October 2026 — 5,918 subscribers19 October 2026 — 5,913 subscribers22 October 2026 — 5,907 subscribers25 October 2026 — 5,898 subscribers28 October 2026 — 5,886 subscribers30 October 2026 — 5,876 subscribers3 November 2026 — 5,871 subscribers6 November 2026 — 5,872 subscribers5,8727 August 20266 November 2026
25 measurements spanning 91 days, net -218. 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 5,838–6,125 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
6 Nov 2026, 04:105,872+1
3 Nov 2026, 03:315,871-5
30 Oct 2026, 21:085,876-10
28 Oct 2026, 03:355,886-12
25 Oct 2026, 05:195,898-9
22 Oct 2026, 14:105,907-6
19 Oct 2026, 14:485,913-5
16 Oct 2026, 20:575,918-8
13 Oct 2026, 12:095,926-13
7 Oct 2026, 19:565,939-11
1 Oct 2026, 11:415,950-34
15 Sept 2026, 23:405,984-6
12 Sept 2026, 11:175,990-13
8 Sept 2026, 15:216,003-14
3 Sept 2026, 06:296,017-10
30 Aug 2026, 19:486,027-12
28 Aug 2026, 05:446,039-20
24 Aug 2026, 22:286,059-11
21 Aug 2026, 03:246,070-7
17 Aug 2026, 19:246,077first reading

Engagement

28 posts held, back to 28 February 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 9 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.67%
avg views ÷ 5,872 subscribers
Avg views / post
275
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
of 28 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 30 October 2026
Posts held28 (28 February 2026 – 30 October 2026)
Views total549
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 15:51 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

Video runtime
1m 32s
Average length
23s

Measured directly from 4 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

45 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 57.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2657.8%
👍613.3%
🕊36.67%
😁36.67%
🤔36.67%
⚡24.44%
👏24.44%

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 28 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 45 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 28 February 2026 to 30 October 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

Telegram’s own ‘edited’ marker: 0 of 2 posts held from the last 30 days (0%) 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).

30 Oct 2026, 13:18 UTC203 viewsread 4 November 2026
Video

Сейчас ИИ умеет делать видео почти как настоящий оператор и монтажёр. А значит, появилась новая ниша для заработка: продающие ролики для онлайн-школ и экспертов. Спрос есть. Например те же онлайн-школы постоянно запускают курсы и продвигаются в социальных сетях, а для запуска нужно видео: • на лендинг • в рекламу • для прогрева Раньше это стоило десятки тысяч и недели работы (не говоря уже про аренду студии и поез…

23 Oct 2026, 06:54 UTC346 viewsread 4 November 2026
Photo

Что, если у вас появится сотрудник, который сам пишет людям первым? Знакомится, расспрашивает, что человеку нужно. Если тот замолчал, напоминает. А вам передаёт только тех, кто уже готов разговаривать и покупать. Причём без отпусков и больничных. И таких сотрудников можно завести хоть десять. Это ИИ-продавец. Такую систему создал Илья Егоров. Он 10 лет занимается рассылками, лидогенерацией и маркетингом, и вот чт…

18 Sept 2026, 12:32 UTC752 views1 reactionsread 4 November 2026
Photo

Секреты маркетинга нового поколения: как первыми заработать на ИИ-лидмагнитах Вы можете оказаться в начале тренда, который только-только просыпается на зарубежном рынке, а до российского доберётся в ближайшие месяцы. И можете либо подождать его, либо стать первыми, кто начнёт на нём зарабатывать. Я про ИИ-лидмагниты, о которых начал рассказывать на прошлой неделе. Лидмагнит - это бесплатный или очень дешёвый прод…

❤1

11 Sept 2026, 13:28 UTC813 viewsread 4 November 2026
Video

Как вы можете зарабатывать на ИИ вместе с экспертами и блогерами Сейчас на зарубежном рынке появился тренд, который я совсем недавно предсказывал. Эксперты заменяют привычные бесплатные и недорогие продукты на ИИ-приложения со встроенным агентом. Внутри – короткие уроки и помощник, с которым человек проходит весь процесс. И авторы рассказывают об очень крутых результатах: • Реклама лучше окупается. • Продажи раст…

2 Sept 2026, 12:54 UTC815 viewsread 4 November 2026
Photo

Представьте, что вы можете заменить команду из 10 человек в онлайн-школе... И не важно, это ваша собственная школа или вы пришли туда продюсером или менеджером. Важно, что вы можете быть человеком, который стоит целой небольшой команды. И это возможно с помощью ИИ-агентов. И пока одни гордятся тем, что общаются с чатиком, другие внедряют ИИ-агентов в бизнес-процессы и ускоряются в разы. Я занимаюсь бизнесом в сфе…

27 Aug 2026, 17:00 UTC651 views1 reactionsread 4 November 2026
Photo

РАЗБОР ПРОВЕРЕННОЙ СИСТЕМЫ ЛИДОГЕНЕРАЦИИ БЕСПЛАТНЫЙ ЭФИР Можно научиться создавать ИИ-агентов, делать сайты, продвигать проекты, писать тексты или оказывать другую полезную услугу. Но вместе с новым навыком клиенты автоматически не появляются. И рано или поздно человек упирается в простой вопрос: кому предложить то, что я умею? Для одних это первые заказы в новом направлении. Для других - новые клиенты на уже су…

❤1

24 Aug 2026, 15:21 UTC570 viewsread 4 November 2026
Photo

Мои ИИ-агенты находят нужные мне товары в интернет-магазинах, добавляют их в корзину и оформляют заказ. В этом примере хорошо видно отличие агента от обычного чата с нейросетью. Чат отвечает на отдельный вопрос. Агенту можно поручить законченное дело, состоящее из нескольких связанных действий. Я последние несколько лет буквально живу в нейросетях, и работающие агенты до сих пор вызывают у меня азарт. А теперь воп…

15 Aug 2026, 06:02 UTC875 viewsread 4 November 2026
Photo

Секреты ИИ-агентов: с нуля и до первых клиентов Зачем вам сдались эти ИИ-агенты, о которых все говорят? Мне знаете что любопытно? О них говорят повсюду, но почти никто не может дать правильного определения, и часто ИИ-агентами называют совсем не то, что является агентом. Но сейчас я не об этом. А о том, почему это круто и важно. Скажу для начала, что ИИ-агент - это когда нейросети (мозгу) дали глаза и руки. А по…

7 Aug 2026, 11:21 UTC981 views1 reactionsread 4 November 2026
Video

«Секреты генеративного творчества» БЕСПЛАТНЫЙ ЭФИР Еще недавно картинку из нейросети было видно за версту. Шесть пальцев на руке. Поплывшие буквы на вывеске. Глянцевое лицо без единой поры. А видео выходило дергаными обрывками на пару секунд. Над ними оставалось только посмеяться. Сейчас такие картинки спокойно живут на обложках, в рекламе, на страницах сайтов. Ролики оттуда крутятся в соцсетях. И мало кто спраш…

❤1

30 Jul 2026, 12:35 UTC≈1,010 viewsread 4 November 2026
Photo

Эфир «Как зарабатывать на продвижении сайтов с помощью ИИ» Последнюю неделю мы много говорим про тему заработка на сайтах. Но, возможно, вы видели не все наши письма и не до конца понимаете, о чем вообще речь. Поэтому коротко и по-человечески объясню, что имеется в виду. Сейчас появляется новый и очень интересный навык: умение влиять на то, что рекомендуют людям не только поисковые системы, но и нейросети. Вы наве…

24 Jul 2026, 09:54 UTC≈1,050 views3 reactionsread 4 November 2026
Photo

Сайт можно сделать за несколько часов. Но клиенты не появятся на нём сами. Бизнесу нужно, чтобы люди находили компанию в Яндексе и видели информацию о ней в ответах нейросетей. Поэтому многие компании каждый месяц платят специалистам за продвижение своих сайтов. Если вы давно ищете, как превратить интерес к нейросетям в конкретную услугу, продвижение сайтов может стать одним из таких направлений. Начать можно с уче…

❤3

9 Jul 2026, 14:54 UTC≈1,220 viewsread 4 November 2026
Photo

"Секреты создания приложений без кода" БЕСПЛАТНЫЙ ЭФИР В это воскресенье вас ждет новый эфир, где мы разберем, как сегодня можно создавать полезные приложения с помощью ИИ, не будучи программистом. Для чего вам это? Во-первых, можно создавать полезные приложения для себя. Во-вторых, можно создавать их на заказ и зарабатывать на этом. Я расскажу об инструментах, которые бы я выбрал сегодня в зависимости от моих …

Showing the 12 most recent of 28 posts we hold for @kurilov_stocks. 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

@kurilov_stocks 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

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.

КАНАЛ ТРЕНЕРА КСЮ
@trenerksenia · 26,450
Telegram ranks this channel #30 of 74 here — alongside 73 others — read 11 September 2026
НейроНатали | Обучение Нейросетям
@Neyronatali · 20,450
Telegram ranks this channel #53 of 93 here — alongside 92 others — read 30 September 2026
Павел Лещёв | Специалист по реабилитации ️
@santa_pavel_blog · 30,731
Telegram ranks this channel #61 of 73 here — alongside 72 others — read 7 September 2026
Анжела Петкова | ИИ на практике
@anjela_p · 78,909
Telegram ranks this channel #75 of 93 here — alongside 92 others — read 22 August 2026
Вакансии Workzilla — Удаленная работа | Фриланс
@workzilla_vacancies · 27,860
Telegram ranks this channel #80 of 81 here — alongside 80 others — read 11 September 2026
Мир нейросетей - новости, обучение и заработок
@pro_ai_novosti · 50,040
Telegram ranks this channel #83 of 90 here — alongside 89 others — read 25 August 2026

This channel appears in 6 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Деньги на фотостоках” (@kurilov_stocks), 5,872 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/kurilov_stocks.

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.