Автоматизация бизнеса проходит по плану 🤫 @business_trends
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Channel
@business_trends
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · View velocity · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry
1,067,024subscribers
+500,838 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among the largest entries.
| Telegram ID | -1002360229575 |
|---|---|
| Type | Channel |
| Username | @business_trends |
| Description | Хайп проходит, тренды остаются. Быстрее всех пишем о новинках в бизнесе, маркетинге и главных трендах цифровой эпохи. Сотрудничество: @skill8989 РКН: https://rkn.link/cOH Официальный амбассадор BidFox |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 2 October 2026 |
| Measurements held | 19 |
| Confirmed unchanged | 1 time, most recently 2 October 2026 |
| On Telegram | t.me/business_trends |
Marketing & affiliate — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 82% 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.
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.
Posts published here appear word for word 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @business_trends/2595 · this entry4 Aug 2026, 10:06 UTC | @testoroyty/235 Aug 2026, 15:54 UTC | 1.00 | 30 hours |
| @business_trends/2596 · this entry4 Aug 2026, 13:13 UTC | @testoroyty/245 Aug 2026, 15:54 UTC | 1.00 | 27 hours |
| @business_trends/2597 · this entry4 Aug 2026, 13:47 UTC | @testoroyty/255 Aug 2026, 15:54 UTC | 1.00 | 26 hours |
| @business_trends/2598 · this entry4 Aug 2026, 16:51 UTC | @testoroyty/265 Aug 2026, 15:54 UTC | 1.00 | 23 hours |
| @business_trends/2602 · this entry5 Aug 2026, 10:26 UTC | @testoroyty/305 Aug 2026, 15:54 UTC | 1.00 | 5.5 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @testoroyty | 5 (5/5 hand-verifiable sample passed) | 1.00 | 26 hours | this entry (5–0) |
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 18 comparable posts for this entry, running 3 August 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.
Across the whole group of 2, the earliest publisher we hold is @business_trends — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 8 August 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.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Oct 2026, 04:18 | 1,067,024 | +513,448 |
| 24 Aug 2026, 01:12 | 553,576 | -1,280 |
| 22 Aug 2026, 07:06 | 554,856 | -954 |
| 20 Aug 2026, 21:04 | 555,810 | -821 |
| 19 Aug 2026, 19:03 | 556,631 | -821 |
| 18 Aug 2026, 16:28 | 557,452 | -700 |
| 17 Aug 2026, 18:43 | 558,152 | -722 |
| 16 Aug 2026, 17:46 | 558,874 | -1,073 |
| 15 Aug 2026, 01:04 | 559,947 | -965 |
| 13 Aug 2026, 14:16 | 560,912 | -849 |
| 12 Aug 2026, 12:38 | 561,761 | -689 |
| 11 Aug 2026, 14:31 | 562,450 | -689 |
| 10 Aug 2026, 15:37 | 563,139 | -648 |
| 9 Aug 2026, 17:01 | 563,787 | -645 |
| 8 Aug 2026, 17:34 | 564,432 | -737 |
| 7 Aug 2026, 15:34 | 565,169 | -716 |
| 6 Aug 2026, 13:30 | 565,885 | -301 |
| 6 Aug 2026, 01:30 | 566,186 | no change |
| 6 Aug 2026, 01:08 | 566,186 | first reading |
193 posts held, back to 3 August 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 6 October 2026 |
|---|---|
| Posts held | 193 (3 August 2026 – 6 October 2026) |
| Views total | 691,058 |
| Reactions total | 4,065 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Oct 2026, 21:45 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.
Lifetime counters from Telegram’s own channel header, read 6 October 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.
Measured directly from 38 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.
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 30 of this channel’s own posts over the last 30 days: across 24 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 5.7 hours of being posted; a typical post has already reached 20.5% of its 24-hour view count within the first hour, and 61.3% within the first six; the median 24-hour reach across those posts is 12,200 views — 1.14% of this channel’s own subscriber count (90th percentile 14,480).
| Post | Readings | Latest reading | Curve | 24h reach | Half of last-observed views by |
|---|---|---|---|---|---|
| /31176 Oct 2026, 21:14 UTC | 262 seconds – 31 minutes old | 818 views14 reactions | no checkpoint reading yet | not yet at 24h | 16 minutesprovisional — final view count still climbing |
| /31156 Oct 2026, 18:48 UTC | 523 minutes – 3.0 hours old | 3,350 views ~16 reactions | 60 minutes: 2,140 → 3.0 hours: 3,350still climbing at last reading | not yet at 24h | 31 minutesprovisional — final view count still climbing |
| /31146 Oct 2026, 16:33 UTC | 932 minutes – 5.2 hours old | 6,450 views ~114 reactions | 60 minutes: 3,005 interp. → 3.0 hours: 5,555 interp.still climbing at last reading | not yet at 24h | 70 minutesprovisional — final view count still climbing |
| /31136 Oct 2026, 13:06 UTC | 1360 minutes – 8.7 hours old | 8,740 views ~38 reactions | 60 minutes: 2,310 → 3.0 hours: 4,270 → 6.0 hours: 8,120still climbing at last reading | not yet at 24h | 3.1 hoursprovisional — final view count still climbing |
| /31126 Oct 2026, 09:28 UTC | 188 minutes – 12 hours old | 11,100 views ~99 reactions | 60 minutes: 3,110 → 3.0 hours: 5,240 → 6.0 hours: 8,010 → 12 hours: 10,900still climbing at last reading | not yet at 24h | 3.4 hoursprovisional — final view count still climbing |
| /31116 Oct 2026, 06:36 UTC | 2119 minutes – 15 hours old | 11,200 views ~62 reactions | 60 minutes: 2,012 interp. → 3.0 hours: 4,430 → 6.0 hours: 7,060 → 12 hours: 10,600still climbing at last reading | not yet at 24h | 3.9 hoursprovisional — final view count still climbing |
| /31105 Oct 2026, 21:16 UTC | 3214 minutes – 24 hours old | 13,000 views ~82 reactions | 60 minutes: 1,393 interp. → 3.0 hours: 2,240 → 6.0 hours: 3,440 → 12 hours: 8,230 → 24 hours: 12,900still climbing at last reading | 12,900measured | 9.4 hours |
| /31095 Oct 2026, 18:51 UTC | 3318 minutes – 27 hours old | 14,100 views ~97 reactions | 60 minutes: 3,248 interp. → 3.0 hours: 5,270 → 6.0 hours: 6,270 → 12 hours: 9,730 → 24 hours: 13,800still climbing at last reading | 13,800measured | 8.0 hours |
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
8,972 reactions across 183 posts, in 65 distinct kinds. The most used accounts for 14.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 1,304 | 14.5% | |
| 😁 | 1,203 | 13.4% | |
| 🤣 | 694 | 7.74% | |
| 🥰 | 685 | 7.63% | |
| ❤🔥 | 588 | 6.55% | |
| 👍 | 475 | 5.29% | |
| 🌚 | 368 | 4.10% | |
| 😱 | 317 | 3.53% | |
| 🤔 | 272 | 3.03% | |
| 💯 | 257 | 2.86% | |
| 💘 | 241 | 2.69% | |
| 🤯 | 205 | 2.28% | |
| 🤬 | 193 | 2.15% | |
| 😭 | 174 | 1.94% | |
| 🕊 | 166 | 1.85% | |
| 💋 | 150 | 1.67% | |
| 🥴 | 139 | 1.55% | |
| 💔 | 116 | 1.29% | |
| 🤩 | 113 | 1.26% | |
| 👏 | 100 | 1.11% | |
| 45 further kinds | 1,212 | 13.5% |
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 193 of the 193 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 9,426 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 193 most recent posts we hold, published 3 August 2026 to 6 October 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 @business_trends. 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 193 most recent posts we hold for this entry, published 3 August 2026 to 6 October 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.
Автоматизация бизнеса проходит по плану 🤫 @business_trends
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Вау: New Balance сделали спрятали пасхалку в фотосессии своих кроссовок Одна из фотографий отсылает на презентацию iPad от Стива Джобса в 2010 году. На ней модель сидит в той же позе, что и бывший СЕО Apple. Все детали тоже совпадают — образ и даже кресло. Премию этому маркетологу, срочно 🫣 @business_trends
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Дизайнеры Apple, кажется, что-то забыли Но что же... 🤣 @business_trends
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Paramount купила Warner Bros. Теперь они станут одной большой компанией под названием Skydance. Сделку оценивают в 111 млрд долларов. Новая компания выйдет набиржу уже на этой неделе. Ключевыми франшизами компании станут: «Гарри Поттер», «Бэтмен», «Властелин колец», «Матрица», «Дюна» и «Игра престолов». Сделка десятилетия произошла прямо на наших глазах 😐 @business_trends
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Юру Борисова вновь номинируют на «Оскар» — теперь актёр поборется в номинации «Лучшая мужская роль». Актёра номинировали за роль сооснователя OpenAI в фильме «Искусственный интеллект». Картина показывает весь корпоративный цирк 2023 года, когда Альтмана уволили из OpenAI, а через несколько дней вернули обратно. Со второго раза точно заберёт «Оскар» ❤️ @business_trends
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Восстание машин уже начинается — роботы начали побеждать людей в спринте и даже не разваливаются по окончании дистанции. Такие соревнования энтузиасты решили провести в Китае. Главное, чтобы бегали не за людьми ☠️ @business_trends
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Как будто бы не очень-то и хотелось 🤣 @business_trends
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Илон Маск снова стал триллионером — его состояние снова превысило отметку в $1 триллион. Впервые такую сумму он достиг в июне после IPO SpaceX, но затем его состояние снова упало до каких-то 900 миллиардов. С того момента акции SpaceX снова выросли более чем на 50%. Эмоциональные качели, которые хочется иметь 😂 @business_trends
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Вот кто реально заработает на SI: мужчина с ником opensi зарегистрировался в Твиттере в 2019 году, и теперь юзеры ждут, когда OpenAI придёт к нему с предложением выкупить юзернейм. Кстати, Сэм Альтман может вполне заинтересоваться ребрендингом OpenAI на фоне переименования AI в SI Дональдом Трампом. Шанс забрать другие юзернеймы с SI еще есть 🫣 @business_trends
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Хорошая финансовая грамотность выглядит именно так И никак иначе 🫣 @business_trends
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ЧТО?! Шутка в рабочем чате может обернуться сингапурцу 10 годами в тюрьме Мужчина сгенерировал снимок в Gemini и отправил коллеге, а после этого фотка разлетелась по всему интернету. В результате этого поднялась паника, и местные власти два дня искали несуществующего крокодила. Теперь мужчину судят за истощенные ресурсы и волнения горожан. На работе даже шутить опасно 😰 @business_trends
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В соцсетях нашли идеальное свидание для всех, кому за 30. Там предлагают сходить на совместный прием капельниц. Так можно восстановить нехватку витаминов в организме и приятно провести вечер. Во время процедуры предоставляют чай, десерты и фильм на вечер. Может, еще получится успеть на сеанс прямо завтра после работы 🫣 @business_trends
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Showing the 12 most recent of 193 posts we hold for @business_trends. 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.
@business_trends edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
Named by 6 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.
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.
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 2 October 2026 — this entry's latest reading, not the date you are reading this.
“бизнестрендс” (@business_trends), 1,067,024 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/business_trends.
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.