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Telegram profile photo for SEO канал Михаила Шакина

Channel

SEO канал Михаила Шакина

@shakinru

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

11,954subscribers

+172 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001087286179
TypeChannel
Username@shakinru
DescriptionИнтересное из мира SEO. Все материалы отобраны вручную. 💬 Чат @shakinchat. Админ @mikeshakin
Created31 August 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/shakinru

Topic

Marketing & affiliate — 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 89% 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 in near-verbatim form 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 (3 of the pairs behind the counts below)
Posted firstThenOverlapGap
@shakinru/4399 · this entry20 Aug 2026, 09:25 UTC@burzhunet/420925 Aug 2026, 06:49 UTC1.005 days
@shakinru/4419 · this entry27 Aug 2026, 15:03 UTC@burzhunet/421627 Aug 2026, 15:29 UTC0.9026 minutes
@shakinru/4396 · this entry18 Aug 2026, 15:04 UTC@burzhunet/419018 Aug 2026, 15:46 UTC0.8742 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@burzhunet6 (6/6 hand-verifiable sample passed)0.9637 hoursthis entry (5–1)

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 0 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 75 comparable posts for this entry, running 31 July 2026 to 10 November 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).

Recorded under the key clone_source, last confirmed 11 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.

Growth

11,78211,96011,87111,9546 August 202611 November 2026
63 measurements spanning 98 days, net +172. 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 11,755–11,987 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 15:5011,954-1
9 Nov 2026, 21:5011,955+5
8 Nov 2026, 15:4711,950-1
7 Nov 2026, 12:5011,951-1
6 Nov 2026, 15:4911,952+2
5 Nov 2026, 14:3511,950-10
4 Nov 2026, 14:2711,960+2
3 Nov 2026, 17:0411,958+3
1 Nov 2026, 15:5911,955+5
31 Oct 2026, 19:1911,950-1
30 Oct 2026, 20:2011,951+5
29 Oct 2026, 22:4911,946-2
28 Oct 2026, 20:0711,948+5
27 Oct 2026, 18:1111,943-5
26 Oct 2026, 21:0611,948+4
25 Oct 2026, 23:4611,944+2
24 Oct 2026, 23:4611,942-5
23 Oct 2026, 20:3611,947+2
22 Oct 2026, 21:1611,945+4
20 Oct 2026, 14:3711,941first reading

Engagement

84 posts held, back to 31 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 65 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.99%
avg views ÷ 11,954 subscribers
Avg views / post
955
31 posts measured
Reaction rate
0.795%
reactions ÷ views · ER floor
Posts in window
31
of 84 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 26 of 31 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held84 (31 July 2026 – 11 November 2026)
Views total29,595
Reactions total201
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 21:03 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
≈712
Videos
≈19
Links
≈3,240

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
52s
Average length
52s

Measured directly from 1 video 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

532 reactions across 70 posts, in 15 distinct kinds. The most used accounts for 23.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥12523.5%
👍12423.3%
❤10920.5%
⚡264.89%
🆒254.70%
✍224.14%
🏆203.76%
👌203.76%
🤩122.26%
☃112.07%
👏101.88%
👻91.69%
🤓81.50%
👨‍💻71.32%
💯40.752%

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 73 of the 84 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 550 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 84 most recent posts we hold, published 31 July 2026 to 11 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
1
across the posts below
Posts paid on
1
of 84 we hold a reading for · 1%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @shakinru. 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 84 most recent posts we hold for this entry, published 31 July 2026 to 11 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: 0 of 31 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).

11 Nov 2026, 07:03 UTC608 views3 reactionsread 11 November 2026

🚀 Как удерживать сайты в топе Яндекса в 2026 году? За последний год SEO-продвижение сильно изменилось, в перегретых нишах классического SEO уже мало – продвигать сайты только текстами и ссылками становится всё сложнее. Чтобы показывать клиентам регулярные результаты с высокими позициями, приходится работать с поведенческими факторами. Но старые методы — шаблоны в BAS/Zenno, паблик-прокси и заезженные фингерпринты —…

🔥2🤓1

10 Nov 2026, 15:04 UTC832 views5 reactionsread 11 November 2026
Photo

🐳 Три кита SEO в эпоху ИИ Разбираю три кита современного SEO: классическое продвижение с техническим аудитом и качественным контентом, GEO-оптимизация под нейроответы ChatGPT, Perplexity, Gemini, Google AI Overviews и Алисы, а также продвижение бренда. https://www.youtube.com/watch?v=TMXSmNpnQyQ Это видео - часть моего вебинара: SEO и GEO: ответы на вопросы - часть 4 https://www.youtube.com/watch?v=A1KLWy6csuA htt…

🔥4👍1

10 Nov 2026, 10:15 UTC916 views4 reactionsread 11 November 2026

🎬 ИИ-автоматизация линкбилдинга Запись выступления Артёма Маркелова @sales_ingeneers на конференции «Высоко в ТОП!» в Волгограде. Ссылка на презентацию в описании под видео. https://www.youtube.com/watch?v=ClnLp0PfX9Y Михаил Шакин, @shakinru #линкбилдинг@shakinru #нейросети@shakinru #автоматизация@shakinru

❤2🏆1👌1

10 Nov 2026, 06:49 UTC898 views6 reactionsread 11 November 2026

🛡 Как защитить SEO от собственных релизов Как незаметные SEO-ошибки после обновления сайта приводят к потере трафика? Что проверять при каждом релизе и как автоматизировать проверки? Как поймать SEO-ошибку раньше поискового робота? 11 ноября в 17 по Москве смотрите вебинар Давида Топузяна @seo_topuzian. 📺 Трансляция на YouTube (жмите "Прислать уведомление", чтобы не пропустить): https://www.youtube.com/watch?v=_ye…

👍4✍1🔥1

9 Nov 2026, 06:04 UTC851 views3 reactionsread 11 November 2026
Forwarded from @super_links_seoPhoto

🦸‍♂️Super Links представляют супер дешевые ссылки с Super PBN!💨 🆕Услуги по PBN! - 📝Гостевые Посты на PBN (Dofollow, коентент делеаем мы + год гарантии) - $1,5; - 📝Гостевые Посты на Premium PBN (Dofollow, коентент делеаем мы + год гарантии) - $2,5; - ⛓️Сквозные в Сайдбарах PBN (Dofollow+ год гарантии) - $10. ⚡️Про наши PBN! 1⃣Это самые дешевые ссылки с PBN, которые существуют на сегодняшний день; 2⃣Гарантия от уда…

👍2🆒1

8 Nov 2026, 15:46 UTC918 views6 reactionsread 11 November 2026
Photo

📚 PBN на дроп-доменах — большое исследование Работают ли PBN на дропах? Я проверил на 858 сайтах — и ответ вам не понравится. 2 года данных, 156 тысяч перехваченных доменов, 4 тысячи аукционов, снятых посекундно, 260 тысяч страниц обхода. Никаких пересказов чужих кейсов — только цифры. На вебинаре разберу: — Кто на самом деле скупает дропы. — Почему один покупатель забирает 70% лотов по 190 ₽ — и что он с ними де…

🔥4👻1🆒1

7 Nov 2026, 14:56 UTC999 views6 reactionsread 11 November 2026

💬 Как занять сразу несколько мест в ТОПе Яндекса и Google Новое видео на канале команды Rush Agency @rushagency_ru. 0:00 - Начало 0:54 - Проблема 1:46 - Как захватить выдачу несколькими сайтами 2:37 - Как выглядит паразитная статья 4:41 - Что даёт бизнесу паразитное SEO 8:51 - Как запустить паразитное SEO 8:59 - Шаг 1 9:28 - Шаг 2 10:01 - Шаг 3 10:41 - Шаг 4 11:30 - Шаг 5 13:45 - Шаг 6 14:11 - Шаг 7 14:23 - Шаг 8 1…

👍4👌1👻1

7 Nov 2026, 09:48 UTC≈1,000 views7 reactionsread 11 November 2026

🧮 Как посчитать окупаемость SEO до договора: 7 шагов на ваших цифрах Андрей Гусаров @gusarovby разобрал, как оценить возврат денег до подписания договора с агентством. 00:00 Как посчитать окупаемость SEO 00:30 Вам прислали КП. Вернутся ли деньги? 01:10 Шаг 1. Прибыль с клиента 02:00 Шаг 2. Сколько клиентов окупают бюджет 02:45 Шаг 3. Сколько нужно заявок 03:30 Шаг 4. Конверсия сайта 04:20 Шаг 5. Хватит ли спроса 05…

❤3⚡2🆒2

6 Nov 2026, 09:02 UTC≈1,110 views13 reactionsread 11 November 2026
Photo

Обо мне и проекте Меня зовут Лена Лебедева. Я предприниматель и основатель «Бюро мебельных решений ЛЛ». Более пяти лет работаю с кухнями. Управляла тремя производственными предприятиями в роли операционного директора и развивала два интерьерных салона как владелец. Ранее работала с авторской мебелью и являюсь дилером пяти фабрик высокого ценового сегмента. Но продажа старыми сценариями более не работает! Средний чек…

❤5☃4✍4

5 Nov 2026, 15:06 UTC≈1,060 views16 reactionsread 11 November 2026
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🔬 Семантический кокон 4.0: структура Cocoon Engine X4 и граф сущностей DrMax рассказывает про архитектуру системы Cocoon Engine X4 — четыре ключевых скилла, которые вместе закрывают полный цикл создания семантического кокона. Система прошла путь от простого парсинга Reddit до работы с графами сущностей и интентами. Отдельно показана роль оркестратора, который пошагово ведёт пользователя от идеи до готовых черновиков…

🔥9❤3👌2🤩2

5 Nov 2026, 12:19 UTC≈1,050 views5 reactionsread 11 November 2026
Photo

📊 Как рассчитать, окупится ли SEO в вашей нише? Проверяем потенциал сайта за 15 минут Айрат Рахимзянов @seosekretiki показывает, как до запуска продвижения оценить спрос. Видео больше для бизнеса и новичков, но как быстрый чеклист перед стартом подойдёт. 00:00 Когда SEO не подходит бизнесу 01:13 Как быстро оценить потенциал SEO 01:29 Как найти спрос на услуги 02:42 Подбор ключевых запросов 03:37 Сколько спроса долж…

👏2☃1⚡1🏆1

Showing the 12 most recent of 84 posts we hold for @shakinru. 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

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 27 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Names

Channels on the register whose handles appear in this channel's posts.

SEO вебинары Шакина
@shakinweb · 1,771
19 posts
SEO подкасты Шакина
@seopodcasts · 326
9 posts
DrMax SEO
@drmaxseo · 9,829
8 posts
Результативное SEO
@Windakolit_Public · 3,116
6 posts
SEO от Ant-Team
@seoantteam · 4,449
4 posts
Gleb_SEO - продвижение локального бизнеса
@GlebSEO · 2,099
2 posts
Ленивый сеошник Маркин Антон
@markin_seo · 17,003
2 posts
Oleg Shestakov - Digital Business
@oshestakovdigital · 12,398
2 posts
SEO Дрифт | Фишки, скрипты, Яндекс, Google
@seo_drift · 3,645
2 posts
SEO Pulses | Чакканбаев Ильхом
@seopulses · 602
2 posts
Топвизор
@topvisor · 4,319
2 posts
Vysokoff SEO - продвижение и заработок
@vysokoffru · 7,334
2 posts
Алейников Сергей, IT-предприниматель
@aleynikov_it · 3,079
1 post
SEO без воды
@bez_seo · 12,649
1 post
Роман Ковалёв
@DiGi_Up · 2,323
1 post
Гусаров маркетинг 🧨
@gusarovby · 17,928
1 post
КручуВерчу 🤟 SEODEN
@Kruchu_Werchu · 1,466
1 post
Понятно о сложном | Артём Маркелов
@markelov_marketing · 2,966
1 post
Макс Романов: Youtube для бизнеса
@maxxxromanov · 323
1 post
Пиксель Тулс: ИИ, SEO. Проекты & инструменты
@pixeltools · 1,751
1 post
Rush Agency | SEO для бизнеса
@rushagency_ru · 1,522
1 post
Максим Котёнков: SEO и AI-автоматизация
@seokotenkov · 7,476
1 post
SEO-секретики
@seosekretiki · 5,999
1 post
Super Links - Супер Дешевые Ссылки
@super_links_seo · 180
1 post

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.

SEO HR, digital-вакансии, офис и удалёнка
@seohr · 25,209
Telegram ranks this channel #2 of 92 here — alongside 91 others — read 15 September 2026
DIGITAL Tender / freelance / фриланс
@digitaltender · 21,106
Telegram ranks this channel #52 of 90 here — alongside 89 others — read 28 September 2026
Яндекс про аналитику
@YAN_analytic · 20,922
Telegram ranks this channel #65 of 98 here — alongside 97 others — read 25 September 2026

This channel appears in 3 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“SEO канал Михаила Шакина” (@shakinru), 11,954 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/shakinru.

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.