#информация

Channel
SEO канал Михаила Шакина
@shakinru
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
11,845subscribers
+63 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 |
|---|---|
| Type | Channel |
| Username | @shakinru |
| Created | 31 August 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 10 September 2026 |
| On Telegram | t.me/shakinru |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Sept 2026, 05:35 | 11,845 | +2 |
| 6 Sept 2026, 23:59 | 11,843 | +4 |
| 4 Sept 2026, 06:57 | 11,839 | -2 |
| 2 Sept 2026, 21:35 | 11,841 | -2 |
| 1 Sept 2026, 17:53 | 11,843 | -1 |
| 31 Aug 2026, 21:25 | 11,844 | -1 |
| 29 Aug 2026, 23:03 | 11,845 | -2 |
| 28 Aug 2026, 23:08 | 11,847 | +3 |
| 28 Aug 2026, 00:33 | 11,844 | +6 |
| 26 Aug 2026, 22:34 | 11,838 | -3 |
| 26 Aug 2026, 02:07 | 11,841 | +6 |
| 25 Aug 2026, 01:54 | 11,835 | +1 |
| 23 Aug 2026, 12:03 | 11,834 | +7 |
| 21 Aug 2026, 23:26 | 11,827 | +4 |
| 20 Aug 2026, 16:56 | 11,823 | +4 |
| 19 Aug 2026, 16:03 | 11,819 | +5 |
| 18 Aug 2026, 16:56 | 11,814 | +5 |
| 17 Aug 2026, 19:14 | 11,809 | +7 |
| 16 Aug 2026, 15:36 | 11,802 | +7 |
| 14 Aug 2026, 21:48 | 11,795 | first reading |
Engagement
53 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 47 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.70%
- avg views ÷ 11,845 subscribers
- Avg views / post
- 1,030
- 36 posts measured
- Reaction rate
- 0.751%
- reactions ÷ views · ER floor
- Posts in window
- 36
- of 53 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 31 of 36 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 53 (31 July 2026 – 2 September 2026) |
| Views total | 37,103 |
| Reactions total | 246 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 23:35 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.
Reaction mix
331 reactions across 44 posts, in 15 distinct kinds. The most used accounts for 27.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 91 | 27.5% | |
| 🔥 | 73 | 22.1% | |
| ❤ | 65 | 19.6% | |
| 🆒 | 17 | 5.14% | |
| ✍ | 14 | 4.23% | |
| 🏆 | 14 | 4.23% | |
| ⚡ | 13 | 3.93% | |
| 👌 | 11 | 3.32% | |
| 👏 | 7 | 2.11% | |
| 🤩 | 7 | 2.11% | |
| ☃ | 5 | 1.51% | |
| 👨💻 | 5 | 1.51% | |
| 👻 | 4 | 1.21% | |
| 💯 | 3 | 0.906% | |
| 🤓 | 2 | 0.604% |
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 47 of the 53 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 349 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 31 July 2026 to 2 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 53 we hold a reading for · 2%
- 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 53 most recent posts we hold for this entry, published 31 July 2026 to 2 September 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
Коллеги, приветствую. На связи Пётр Лях. Последние годы одно из основных направлений меня и моей студии Филигрань это линкбилдинг и PBN. Мы развиваем свою сеть ссылочных доноров, используем её для продвижения проектов заказчиков и видим результаты в кейсах и отзывах. Уже более 3-х лет я регулярно выступаю у Михаила Шакина на вебинарах по разным темам. За это время разобрали многие вопросы по ссылкам и не только, ни…
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🔗 Сколько ссылок нужно сайту: от чего зависит и как планировать бюджет Новое видео Алины Прищеп из @seoantteam. Этот вопрос часто задают новички и владельцы сайтов. https://www.youtube.com/watch?v=t6gzUNoQ2Y8 Михаил Шакин, @shakinru #линкбилдинг@shakinru #новичкам@shakinru #инструкция@shakinru
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💻 SEO продвижение сайта ссылками в ТОП ✅ Михаил Шакин у Макса Романова Выступил на канале Макса Романова @maxxxromanov на тему линкбилдинга: как отбирать доноров, строить безопасную стратегию для молодых сайтов, работать с анкорами и анализировать конкурентов. 00:00 — SEO продвижение ссылками 03:40 — Почему ссылки всё ещё работают в 2026 году 07:20 — Как правильно отбирать сайты-доноры 12:10 — Стратегия безопасного…
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#информация
Аутсорс линкбилдинга от Филигрань Обновленный пост по услуге аутсорса линкбилдинга от нас Подробности на слайдах выше⬆️⬆️⬆️ Примеры роста Пример 1 Пример 2 Пример 3 Примеры кейсов Кейс по ПБН для мультиязычного сайта скачивания приложений на Андроид Кейс по аутсорсу линкбилдинга для сайта тематики SaaS и продолжение кейса Кейс по аутсорсу линкбилдинга для автомобильной компании в СНГ Кейс роста по ссылкам с…
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Showing the 12 most recent of 53 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 25 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.
Named by
Channels on the register whose posts name this channel's handle.
@seopodcasts · 32117 postsSEO Птичка
@seoptichka · 346 postsЛенивый SEO
@lazyseo · 45 postsSEO Собака
@seo_sobaka · 313 postsДоктор SEO
@doktorseo · 52 postsGlobal iGaming Digest
@Globaigaming · 1602 postsPartnerkin | Арбитраж трафика
@thepartnerkin · 32,1452 postsAhead
@aheadprocom · 191 post#АлтайскоеSEO inside!🍌
@altayseo · 1001 postAneti
@aneti_ru · 31 postGGL FM
@gglfm · 1021 postGo Бурж SEO
@goburzhseo · 1,1221 postЯбкупил этот сайт!
@ibuysite · 1,5241 post555. Блог Знаний - iTempUniversity.com - АйТемп Университет. Наука, IT, Культура.
@iTempUniversity · 1741 postКупить сайт | Куплю ваш интернет-проект!
@kupitsite · 1581 postПродать сайт, паблик, канал
@prodatsite · 2911 postДмитрий Шевцов Семантист®
@semantist_channel · 5281 postоколо SEO | Артёменко Андрей
@seo_okolo · 6351 postSEOFAQ Telegram
@seofaqt · 2,2921 postSEO Hub
@seohub_ikon · 3471 postКакаст
@seokakast · 2101 postСтавский Jr. SEO | Инструменты | PBN
@stavskiy_jr · 6371 postв ТОП и оффтоп | Таня про SEO и процессы
@top_offtop · 861 postПонятно о SEO и привлечении клиентов в Интернете
@understand_SEO · 821 post
Names
Channels on the register whose handles appear in this channel's posts.
@shakinweb · 1,75912 postsSEO подкасты Шакина
@seopodcasts · 3217 postsDrMax SEO
@drmaxseo · 9,5415 postsSEO от Ant-Team
@seoantteam · 4,4364 postsРезультативное SEO
@Windakolit_Public · 3,0744 postsGleb_SEO - продвижение локального бизнеса
@GlebSEO · 2,0572 postsЛенивый сеошник Маркин Антон
@markin_seo · 17,1702 postsOleg Shestakov - Digital Business
@oshestakovdigital · 12,1332 postsSEO Pulses | Чакканбаев Ильхом
@seopulses · 5882 postsТопвизор
@topvisor · 4,0262 postsАлександр Сергиенко | Про SEO для бизнеса
@AleksSergienkoSEO · 2,5771 postPBN по цене пирогов | Canonical
@canonicalpbn · 2071 postCrowd-Links О линкбилдинге и не только
@Crowd_Links · 2,8551 postШваков Никита | IntlSEO (SEO, AISEO, DEVELOPMENT)
@DMarketingIseo · 741 postМакс Романов: Youtube для бизнеса
@maxxxromanov · 3221 postНейроскуф | Про Нейросети&AI
@neyroskuf · 7,7931 postМаксим Котёнков: SEO и AI-автоматизация
@seokotenkov · 7,2851 postShakin Life
@shakinlife · 2931 postSkobeeff Digital
@skobeeffdigital · 3,4721 postТихий час - SEO & LIFESTYLE
@tkhychs · 7,1241 postVysokoff SEO - продвижение и заработок
@vysokoffru · 7,2811 postWildo | Арбитраж, как он есть
@wildo_blog · 8,4071 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.
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 10 September 2026 — this entry's latest reading, not the date you are reading this.
“SEO канал Михаила Шакина” (@shakinru), 11,845 subscribers as measured 10 September 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.