Танцор перед публикой показал путь к успеху.
👍15❤12🔥5🕊5😍3👏2🤗2😁1

Channel
@biznonli
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
13,463subscribers
-631 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003696713972 |
|---|---|
| Type | Channel |
| Username | @biznonli |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/biznonli |
Crypto & trading — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 18:56 | 13,463 | -17 |
| 15 Sept 2026, 17:19 | 13,480 | -74 |
| 14 Sept 2026, 03:00 | 13,554 | -143 |
| 12 Sept 2026, 10:17 | 13,697 | -47 |
| 10 Sept 2026, 08:37 | 13,744 | +96 |
| 7 Sept 2026, 04:22 | 13,648 | -153 |
| 4 Sept 2026, 09:57 | 13,801 | -82 |
| 2 Sept 2026, 23:15 | 13,883 | +72 |
| 1 Sept 2026, 22:14 | 13,811 | -65 |
| 31 Aug 2026, 18:39 | 13,876 | +79 |
| 30 Aug 2026, 16:24 | 13,797 | -67 |
| 29 Aug 2026, 17:56 | 13,864 | -100 |
| 28 Aug 2026, 17:03 | 13,964 | -60 |
| 27 Aug 2026, 17:28 | 14,024 | -70 |
| 26 Aug 2026, 20:04 | 14,094 | +40 |
| 25 Aug 2026, 18:43 | 14,054 | +31 |
| 24 Aug 2026, 20:54 | 14,023 | +29 |
| 23 Aug 2026, 07:14 | 13,994 | -32 |
| 21 Aug 2026, 20:34 | 14,026 | +101 |
| 20 Aug 2026, 16:36 | 13,925 | first reading |
30 posts held, back to 19 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 50 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 30 (19 July 2026 – 2 September 2026) |
| Views total | 3,208 |
| Reactions total | 111 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 19:34 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.
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.
2,982 reactions across 30 posts, in 56 distinct kinds. The most used accounts for 30.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 914 | 30.7% | |
| 👍 | 375 | 12.6% | |
| 🔥 | 346 | 11.6% | |
| 😁 | 126 | 4.23% | |
| 🕊 | 119 | 3.99% | |
| ❤🔥 | 115 | 3.86% | |
| 💘 | 78 | 2.62% | |
| 🍓 | 76 | 2.55% | |
| 👏 | 68 | 2.28% | |
| 🤣 | 64 | 2.15% | |
| 💯 | 63 | 2.11% | |
| 🤔 | 56 | 1.88% | |
| 🥰 | 54 | 1.81% | |
| 😎 | 45 | 1.51% | |
| 😍 | 39 | 1.31% | |
| 🐳 | 35 | 1.17% | |
| 🤗 | 35 | 1.17% | |
| 🤩 | 28 | 0.939% | |
| 🆒 | 23 | 0.771% | |
| 💔 | 22 | 0.738% | |
| 36 further kinds | 301 | 10.1% |
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 30 of the 30 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 2,982 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 19 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @biznonli. 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 30 most recent posts we hold for this entry, published 19 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.
Танцор перед публикой показал путь к успеху.
👍15❤12🔥5🕊5😍3👏2🤗2😁1
Почему комиссия в разных криптосетях может отличаться в десятки раз? 💸 Отправляете одни и те же $100 USDT, но в одной сети комиссия может быть несколько центов, а в другой — несколько долларов. Почему? Всё дело в том, как устроена сама сеть. 🔹 Ethereum использует механизм gas. Когда сеть загружена, пользователи конкурируют за место в блоке — комиссия растёт. 🔹 Solana изначально спроектирована под большое количес…
❤24👍12❤🔥9🥰9🔥4🤝3😁3💘2
Почему Стив Джобс всегда носил одну и ту же одежду? Чёрная водолазка, джинсы Levi’s 501 и кроссовки New Balance — именно так выглядел фирменный стиль Стива Джобса. Но дело было не в отсутствии вкуса. Всё началось с поездки в Японию. Джобс увидел, что сотрудники Sony носят корпоративную форму, и захотел сделать что-то похожее для Apple. Даже пригласил японского дизайнера Иссея Мияке. Сотрудники Apple идею формы не …
👍41❤30👏9🔥7❤🔥4🤗3🥰3😍2
Почему первые 3 секунды рекламы решают всё У вас есть всего несколько секунд, чтобы человек решил: смотреть дальше или пролистать. Именно поэтому начало рекламы часто важнее красивого монтажа, дорогой картинки и даже самого продукта. ❌ «Привет! Сегодня мы хотим рассказать вам о…» Скучно. Палец уже тянется свайпнуть. ✅ «Вы до сих пор тратите деньги на рекламу, которая не приносит клиентов?» Вот это уже цепляет. …
❤46👍16🔥9💯8💘4🤔4🤝4❤🔥3
Уволить или обучать 🤔
🔥30👏17❤14🏆9💘3👍2😁2😱2
💰 Почему крупные фонды скупают Bitcoin? Ещё несколько лет назад Bitcoin для традиционных инвесторов был слишком рискованным активом. Сегодня ситуация изменилась: крупные управляющие компании, фонды и другие институциональные инвесторы всё активнее добавляют BTC в свои портфели. Почему? 🔹 Ограниченное предложение Максимальное количество Bitcoin — 21 млн монет. Для крупных инвесторов это аргумент в пользу актива с д…
❤29🐳22😎13🔥10🍓5👀5👍5🎉4
🚨 SEC снова подкинула неопределённости крипторынку Комиссия по ценным бумагам и биржам США неожиданно отменила заседание, на котором должны были обсуждаться новые правила для криптоиндустрии. Причина — «непредвиденная проблема с расписанием». На этом фоне Bitcoin опустился ниже $63 000, а ожидания быстрого принятия американского Clarity Act заметно снизились. 📉 Для крипторынка это плохой сигнал: инвесторы рассчиты…
❤32🔥15👍9🤔5🍾3🕊3🤣3🤨3
Нашёл бота, через которого можно получать звезды🌟 Telegram Stars без вложений. Работает просто: 1️⃣ Заходишь в бота 2️⃣ Выполняешь простые задания (подписки, клики и т.д.) 3️⃣ Получаешь звезды на баланс Минимальный вывод с бота от 15🌟 💡 Подойдёт тем, кто хочет: — попробовать Telegram Stars без доната — немного заработать на простых действиях Попробуй и ты😉👇👇👇 http://t.me/StarsovEarnBot?start=q6mN08Yb5
❤37🤩19👍10😍8🔥5🍓4⚡3💘2
🔎 Инструменты для анализа конкурентов Хотите понять, откуда конкуренты берут клиентов, сколько получают трафика и какую рекламу запускают? Не обязательно гадать — есть инструменты, которые покажут многое за вас. 🟢 Similarweb — анализ трафика сайтов, источников посетителей и аудитории. 🟢 Semrush — SEO, ключевые слова, позиции конкурентов и их рекламная активность. 🟢 Ahrefs — анализ SEO и внешних ссылок конкурентов…
🔥30❤24👍21🥰8😁8😍7❤🔥6🎉4
🐋 Киты начали скупать Cardano — ADA резко пошла вверх Токен Cardano (ADA) за последнюю неделю прибавил около 19%, заметно опередив по динамике Bitcoin и Ethereum. Одна из главных причин — активность крупных держателей. Криптокиты начали увеличивать свои позиции в ADA, что усилило спрос на монету. 📈 Теперь главный вопрос — это только краткосрочный памп или начало более серьёзного движения? Если активность крупных и…
🔥34🤔19🕊12❤9👍8🦄4❤🔥3💘3
🎬 Чад Хёрли: человек, который изменил мир видео До создания YouTube имя Чада Хёрли почти никто не знал. Он работал в PayPal и заметил одну простую проблему: людям было сложно делиться видео через интернет. В 2005 году вместе с друзьями он запустил YouTube — платформу, где загрузить и посмотреть видео мог любой человек. Идея оказалась революционной. Всего через полтора года сервис купила Google за 1,65 миллиарда до…
❤28🕊21👍10🔥5💘2🤗2😎2🍾1
🚫 Почему Google убивает свои продукты? Google известна не только успешными сервисами, но и длинным списком проектов, которые однажды просто закрыли. Вот несколько примеров: • Google Stadia — облачный игровой сервис. • Google+ — попытка создать конкурента Facebook. • Google Podcasts — приложение для подкастов. • Google Hangouts — популярный мессенджер. 🤔 Почему так происходит? • Компания постоянно экспериментируе…
❤39👍18💔13🤔11💘4🔥4🤷♀4🤗3
Showing the 12 most recent of 30 posts we hold for @biznonli. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Бизнес онлайн - стратегия и рост” (@biznonli), 13,463 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/biznonli.
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.