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Номер заявления о регистрации в реестре РКН: 5606448975
Created
Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 10 August 2026 and assigned it the closest of 31 fixed categories, at 85% 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 7 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)
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. 5 of the 53 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 16 comparable posts for this entry, running 23 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 8, the earliest publisher we hold is @ledovskih_lab. That is a statement about our reading window, not a claim of authorship.
Views per post sit far below this size band
41.0 average views per post against 9,141 subscribers — an engagement rate of 0.449%. Across the 16,385 registered channels in the same cohort — 3,183–9,999 subscribers, posting mainly in Russian — the middle half sit between 6.90% and 25.3%, with a median of 13.6%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
27 of 27 published in the window (27 exact, 0 rounded by Telegram)
Views totalled
1,108
Mature posts only
0.471% over 24 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_mutual · err_low, last confirmed 5 November 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 7 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.
25 measurements spanning 91 days, net -540. 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 9,048–9,750 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
6 Nov 2026, 02:41
9,129
-12
3 Nov 2026, 01:19
9,141
-7
30 Oct 2026, 19:49
9,148
-26
27 Oct 2026, 15:57
9,174
-11
25 Oct 2026, 01:16
9,185
-27
22 Oct 2026, 03:46
9,212
-20
18 Oct 2026, 13:57
9,232
-12
15 Oct 2026, 06:29
9,244
-16
12 Oct 2026, 04:58
9,260
-54
5 Oct 2026, 14:22
9,314
-40
28 Sept 2026, 03:36
9,354
-79
15 Sept 2026, 10:17
9,433
-16
11 Sept 2026, 12:18
9,449
-32
7 Sept 2026, 02:56
9,481
-30
2 Sept 2026, 19:59
9,511
-30
30 Aug 2026, 23:54
9,541
-22
28 Aug 2026, 02:33
9,563
-53
25 Aug 2026, 01:34
9,616
-7
21 Aug 2026, 08:45
9,623
-12
18 Aug 2026, 10:14
9,635
first reading
Engagement
70 posts held, back to 23 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 45 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.473%
avg views ÷ 9,129 subscribers
Avg views / post
43.2
28 posts measured
Reaction rate
8.06%
reactions ÷ views · ER floor
Posts in window
28
of 70 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. It is computed over the 5 of 28 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
70 (23 July 2026 – 6 November 2026)
Views total
1,210
Reactions total
17
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 11:20 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
668
Videos
146
Links
812
Lifetime counters from Telegram’s own channel header, read 7 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
4m 36s
Average length
55s
Measured directly from 5 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
62 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 37.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
23
37.1%
👍
9
14.5%
⚡
7
11.3%
❤
7
11.3%
❤🔥
5
8.06%
👏
3
4.84%
🙏
3
4.84%
🦄
3
4.84%
😁
2
3.23%
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 17 of the 70 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 62 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 23 July 2026 to 6 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 28 posts held from the last 30 days (7.14%) 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).
Тишина в классе! Записываем домашнее задание на выходные 📝
Пункт первый и единственный: найти клиентов.
Знаю-знаю. «Вот разгребу текучку и сяду». «С понедельника точно». У многих эта задача стабильно переезжает из одного списка дел в другой.
И понятно почему: открыть сайт, разобраться, чем живёт компания, найти контакт, придумать первую фразу… И так 30 раз подряд.
Тааа-дааам. Хорошая новость.
Эту рутину можно отда…
Создатели Claude честно предупредили инвесторов, на что способны их модели. Почитал, и захотелось срочно проверить доступы у своих агентов 🙈
Anthropic (компания, которая сделала Claude) подала документы на выход на биржу в США. Почти треть этих документов занимают риски. Среди обычных пунктов про конкурентов и регуляторов там есть и такой: в испытаниях модели, включая их собственные, пытались сопротивляться отключен…
Сегодня ещё можно. Завтра уже нет.
Если ещё не зарегистрировался на практикум «АГЕНТ: от А до Я», вот что сегодня лежит в боте:
⚡️ Claude Code за $20 работает как за $100: лимит перестаёт сгорать на перечитывании файлов
🧰 мой репозиторий: 6 AI-специалистов, которые превращают Claude Code в команду
🤖 ТОП-30 нейросотрудников: что собирать, кому продавать и сколько брать
🗺 карта нейрозавода: как раздавать работу не…
Claude Code без настройки — стажёр, который каждое утро спрашивает, где кофемашина ☕️
Умный, старательный, но вчерашний разговор не помнит. Поэтому каждый раз заново объясняешь, кто ты, чем занимаешься и как надо.
Свою команду агентов я собирал месяцами: пробовал, ошибался, переделывал. Особо полезную часть этого арсенала сегодня отдаю, это стартовый набор из моего авторского репозитория:
🔍 Разведчик: ищет свежие …
Он не программист. Но собрал AI-сервис, на котором можно зарабатывать.
Знакомьтесь, Вадим Колесник. Когда он пришёл к нам, нейроагенты для него были чем-то из новостей про Кремниевую долину. Но хотелось большего: своё агентство по внедрению AI в бизнес.
Что он собрал:
🏡 «Банк земли Крыма»: сервис, где можно найти участок, собственника и купить землю напрямую, без посредников;
📈 ИИ-систему с ботом, которая собирает…
AI-агенты от А до Я: как создавать усиливать и зарабатывать на них. Рассказываю 👇
Я уже давно упоминаю про AI-агентов. И посты пишу про них, собираю в них всякие сервисы и приложения. Да что уж там, вся моя команда уже давно работает с этим инструментом.
Так вот. В четверг проведу бесплатный практикум «АГЕНТ: от А до Я».
Пройдём тот же путь, что и я, только без моих ночных граблей:
1. что такое агент и почему нейр…
118 агентов. 38 часов подряд. И ни один не попросил отгул
Наткнулся на новость: Third Moment Research запустили 10 000 агентов на новых моделях OpenAI, и те проработали больше 36 часов без остановки.
Ещё недавно агенту было сложно довести до конца одну задачу за вечер. Теперь они держат фокус сутками. Всё к этому шло постепенно, но если смотреть ретроспективно — это не может не удивить.
Признаюсь, у меня тут свой …
Дал Claude доступ к своей запрещённой соцсети — и он за вечер разобрал аккаунт лучше, чем я за год
Поставил себе спортивную цель: разогнать канал по-максимуму за несколько дней. И решил не угадывать руками, а посадить за штурвал Claude — буквально дал ему доступ к запрещённой соцсети и попросил собрать план роста.
Что получилось
Claude зашёл в аккаунт и собрал дашборд именно по МОИМ цифрам: топ-посты по охвату, про…
Claude теперь не ждёт, пока его о чём-то спросят. Он сам берётся за дела.
На прошлой неделе Anthropic (это создатели Claude, которым я пользуюсь каждый день) показали новую штуку — Claude Duet.
Раньше было как: открыл чат, спросил, получил ответ, закрыл. Помощник-справочник — пока ты сам не придёшь, он молчит.
Duet работает наоборот. Он сам смотрит на твои рабочие дела и приходит с тем, что требует внимания:
— зам…
Через пару часов ты соберёшь своё первое приложение. Без кода.
Сегодня стартует практикум «Твоё приложение за один день». За один вечер — от идеи до готовой рабочей ссылки.
Вот что ты реально соберёшь сам, без программистов:
📍 Тест — подбирает продукт и собирает заявки
📍 Калькулятор — считает цену, сроки и выгоду по твоим формулам
📍 Планировщик — задачи, напоминания, дела на всю семью
📍 AI-консультант — отвечает п…
Showing the 12 most recent of 70 posts we hold for @concentrat_new. 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 recorded as deleted after publishing
We recorded 1 post on @concentrat_new as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
5 November 2026
Most recent seen missing
5 November 2026
Median time before seen missing
14 hours
Seen missing in the last 30 days
1
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 166%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 70 most recent posts we hold, published 23 July 2026 to 6 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
“AI Basis Ледовских” (@concentrat_new), 9,129 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/concentrat_new.
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.