Telegram RegisterThe public register of Telegram

Channel

SEO Лента | Новости продвижения в поиске

@boss_seo

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

9,343subscribers

-27 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-1001532611347
TypeChannel
Username@boss_seo
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/boss_seo

Growth

9,3439,3709,356.57 August 2026 — 9,370 subscribers7 August 2026 — 9,370 subscribers7 August 2026 — 9,368 subscribers10 August 2026 — 9,345 subscribers13 August 2026 — 9,343 subscribers7 August 202613 August 2026
5 measurements spanning 6 days, net -27. 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 9,339–9,374 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 05:349,343-2
10 Aug 2026, 11:209,345-23
7 Aug 2026, 21:219,368-2
7 Aug 2026, 13:019,370no change
7 Aug 2026, 12:499,370first reading

Engagement

16 posts held, back to 25 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 13 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.39%
avg views ÷ 9,343 subscribers
Avg views / post
317
1 post measured
Reaction rate
2.84%
reactions ÷ views · ER floor
Posts in window
1
of 16 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 2 August 2026
Posts held16 (25 December 20252 August 2026)
Views total317
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 15:17 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
7s
Average length
7s

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

87 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 44.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3944.8%
🔥2731.0%
🤯1011.5%
👏66.90%
44.60%
🎉11.15%

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 16 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 87reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 25 December 2025 to 2 August 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 16 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @boss_seo. 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 16 most recent posts we hold for this entry, published 25 December 2025 to 2 August 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

2 Aug 2026, 09:42 UTC317 views9 reactionsread 12 August 2026
Photo

🔵Rebolt — сайты за несколько минут Rebolt создает современные сайты с помощью искусственного интеллекта. ㅤ Сервис автоматически генерирует структуру, дизайн и наполнение страниц. ㅤ —> Что умеет: ㅤ • Создает сайты. • Генерирует дизайн. • Пишет тексты. • Адаптирует страницы. • Публикует проекты. • Редактирует сайт через ИИ. ㅤ Тул быстро запускает лендинги под офферы и новые рекламные кампании. ㅤ Подойдет маркетологам,

👍5👏2🤯2

10 Jul 2026, 13:28 UTC445 views2 reactionsread 12 August 2026
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Заработок на ищущих работу - Копирайтер 4500$. - набор текста 3500$. - 50$/час за набор текста? Да, да, в 2026 находятся люди, которые верят в такое и готовы заплатить за доступ. Ссылка. Длинный опросник: • М/Ж. • Сколько хотите зарабатывать. • Когда готовы приступить и тп. В конце предлагают оплатить доступ на месяц иначе вы упустите возможность заработать на яхту.

👍2

22 Jun 2026, 11:11 UTC523 views5 reactionsread 12 August 2026
Photo

👀 Vibecode — создание приложений через промпты Тул генерит мобильные приложения по текстовому описанию прямо со смартфона. ㅤ —> Что умеет: ㅤ • Создает приложения по запросу. • Генерирует интерфейсы. • Редактирует проекты через чат. • Показывает результат в реальном времени. • Экспортирует код. • Помогает запускать MVP. ㅤ Подходит для быстрого тестирования идей без команды разработчиков. ㅤ ⚪Попробовать: здесь

🔥5

5 Jun 2026, 16:00 UTC533 views4 reactionsread 12 August 2026
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⚪️Shogo — контент и аналитика для интернет-магазина Shogo помогает ecommerce проектам автоматизировать работу с товарами, SEO и контентом через ИИ. —> Что умеет: • Генерирует описания товаров. • Создает SEO тексты и мета-теги. • Анализирует карточки товаров. • Работает с большими каталогами. • Автоматизирует обновление контента. • Помогает оптимизировать товары под поиск. • Ускоряет наполнение интернет-магазина.

👍31

30 May 2026, 13:19 UTC465 views5 reactionsread 12 August 2026
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⚪️SEO Site Checkup — аудит сайта для SEO SEO Site Checkup помогает находить ошибки на сайте и улучшать техническое состояние страниц. —> Что умеет: • Проверяет SEO параметры. • Анализирует скорость загрузки. • Ищет технические ошибки. • Проверяет mobile compatibility. • Формирует рекомендации по улучшению. Полезно для регулярной проверки сайта и контроля базовой SEO оптимизации. ⚪Попробовать: здесь

👍4👏1

12 May 2026, 11:37 UTC523 views4 reactionsread 12 August 2026
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👀 Medo — быстрые сайты без лишнего Medo — инструмент для создания простых сайтов и страниц без сложной разработки. —> Что умеет: • Создаёт сайты без кода. • Упрощает структуру страниц. • Подходит для быстрых лендингов. • Позволяет запускать проекты за короткое время. Можно быстро собрать страницу под идею и сразу посмотреть, как она отрабатывает на практике. ⚪Попробовать: здесь

🔥4

27 Apr 2026, 13:27 UTC590 views9 reactionsread 12 August 2026
Photo

👀 Apphive — мобильные приложения без кода Apphive — платформа для создания приложений без программирования. —> Что умеет: • Создаёт мобильные приложения. • Работает через визуальный конструктор. • Поддерживает интеграции. • Упрощает запуск приложений. Хороший вариант, когда нужно протестировать идею приложения без команды разработчиков. ⚪Попробовать: здесь

🔥4👏2🤯21

23 Apr 2026, 09:32 UTC≈1,390 views5 reactionsread 12 August 2026
Photo

⚪️Base44 — сборка продуктов без кода Base44 — платформа для создания цифровых сервисов без разработки. —> Что умеет: • Позволяет собирать проекты без кода. • Работает с логикой и структурой. • Упрощает запуск MVP. • Подходит для быстрых запусков. Можно собрать рабочий сервис и сразу перейти к тесту самой идеи, а не тратить время на техническую часть. ⚪Попробовать: здесь

🔥5

7 Apr 2026, 18:37 UTC619 views8 reactionsread 12 August 2026
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🟣Dorik — ИИ-конструктор сайтов Dorik — конструктор сайтов с ИИ, который позволяет собрать сайт без навыков программирования. —> Что умеет: • Генерирует структуру сайта. • Создаёт текст и дизайн страниц. • Позволяет редактировать блоки и контент. • Публикует сайт в несколько кликов. Платформа включает готовые шаблоны и ИИ-инструменты для быстрой сборки лендингов и простых сайтов. ⚪Попробовать: здесь

👍6🎉1👏1

20 Mar 2026, 12:58 UTC593 views2 reactionsread 12 August 2026
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❕ Katteb — генерация текста с фактчекингом и SEO Katteb создаёт тексты для блогов, сайтов, описаний товаров с SEO‑оптимизацией и проверкой фактов. —> Что умеет: • Статьи, посты и описания товаров. • SEO‑оптимизация под ключевые слова. • Подбор тона и стиля бренда. • Фактчекинг и ссылки на источники. Сервис полезен блогерам, журналистам и маркетологам для достоверного и качественного контента. ⚪Попробовать — здес

🔥2

10 Mar 2026, 09:37 UTC467 views4 reactionsread 12 August 2026
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🗂 Сборник лучших SEO-инструментов Awesome SEO Tools собрал базовые тулы для продвижения сайтов в поисковых системах. —> Что есть в сборнике: • Базовые SEO-инструменты: исследование ключевых слов, анализ ссылок, оптимизация контента. • Продвинутые тулзы: отслеживание позиций, расширения для браузера и многое другое. • К каждому инструменту идёт подробный гайд по использованию. Полезный ресурс для любого, кто хочет

🔥4

6 Mar 2026, 09:12 UTC479 views5 reactionsread 12 August 2026
Video

❕ Thunderbit — извлечение данных с сайтов и документов Thunderbit — расширение для браузера, которое превращает сайты, PDF и изображения в таблицы без ручного копирования. —> Что умеет: • Извлекает имена, цены, номера, ссылки и другие данные с веб-страниц. • Автоматически переходит по подстраницам и собирает данные. • Экспортирует в Google Sheets, Excel, Notion или Airtable. • Работает без скриптов, селекторов и с

👍4🤯1

Showing the 12 most recent of 16 posts we hold for @boss_seo. 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.

Citation-graph rank

Citation-graph rank — 666,632 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“SEO Лента | Новости продвижения в поиске” (@boss_seo), 9,343 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/boss_seo.

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.