Telegram RegisterThe public register of Telegram

Channel

Тренд-аналитик | Мария Севостьянова

@now_trends

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

3,135subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001614023245
TypeChannel
Username@now_trends
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/now_trends

Growth

3,1353,1403,137.57 August 2026 — 3,139 subscribers7 August 2026 — 3,139 subscribers8 August 2026 — 3,140 subscribers11 August 2026 — 3,135 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net -4. 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 3,134–3,141 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 10:233,135-5
8 Aug 2026, 09:413,140+1
7 Aug 2026, 11:313,139no change
7 Aug 2026, 11:223,139first reading

Engagement

10 posts held, back to 15 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
73.0%
avg views ÷ 3,135 subscribers
Avg views / post
2,290
4 posts measured
Reaction rate
1.06%
reactions ÷ views · ER floor
Posts in window
4
of 10 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 6 August 2026
Posts held10 (15 June 20266 August 2026)
Views total9,150
Reactions total97
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:46 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
1h 10m
Average length
1h 10m

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

272 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 55.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15055.1%
🔥11040.4%
🙏31.10%
❤‍🔥20.735%
😐20.735%
🥰20.735%
10.368%
👏10.368%
😁10.368%

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 10 of the 10 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 272reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 15 June 2026 to 6 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.

Recent posts

6 Aug 2026, 12:32 UTC≈2,090 views19 reactionsread 7 August 2026
Forwarded from @e_Commerce_TGPhoto

Почему тренд — не гарантия высоких продаж? Вы замечаете, что определённый принт, силуэт или модель появляются у блогеров, брендов и конкурентов. Кажется, что спрос уже сформирован и нужно срочно выпускать похожий товар. Но перед запуском новинки я предлагаю проверять её через 3 фильтра. 1. На какой стадии находится тренд? В момент, когда товар уже в массмаркете и социальных сетях, тренд может уже приближаться к н

19

6 Aug 2026, 12:32 UTC≈2,110 views7 reactionsread 7 August 2026

Несколько недель назад написала небольшую статью для онлайн-журнала "ecom по-женски" про важные факторы в тренд-аналитике. С учетом текущих сложностей с логистикой на маркетплейсах и вообще с кризисом на fashion-рынке хочется добавить еще 2 фактора, без которых тренд-аналитика будет неполноценной: • канал продаж (сейчас вижу, как бренды и селлеры рассматривают совершенно новые площадки и там могут сработать определ

7

2 Aug 2026, 11:56 UTC≈2,700 views28 reactionsread 7 August 2026
Photo

Собирая аналитику по трендам на весну-лето 2027, зацепил Resort 2027 от Balenciaga — понравились их адаптации, которые, если "докрутить", будут очень под массмаркет — Античные платья-топы, которые нужно носить с джинсами — Кожаный тренч с длинной бахромой — Ветровки-тренчи с блексом и укороченные алладины — Длинная бахрома поверх бермуд (думаю, Zara этот прием точно себе заберет) — Крупные пайетки, разбросанные

18🔥10

22 Jul 2026, 07:02 UTC≈2,250 views43 reactionsread 7 August 2026

Друзья, честно говоря, нет слов, которые могу подобрать в текущей ситуации WB-предпринимаетелей, но и молчать тоже не могу. Очень странно желать сил и держаться, когда происходят вещи, на которые мы не можем повлиять и как будто держаться не за что. Но мы — не одни.. И я очень надеюсь, что с разных сторон будут предприняты меры поддержки бизнесам на маркетплейсах. Со своей стороны — я тоже буду больше сейчас фокуси

38❤‍🔥2😐2😁1

13 Jul 2026, 06:12 UTC≈2,210 views47 reactionsread 7 August 2026
Forwarded from @redko_trendVideo

Эта лекция появилась, потому что мне самой не хватало такого материала.. 8 тренд-сигналов, которые меняют внимание, доверие и покупки людей Вместо подборки «что сейчас модно» или «трендовые приемы» мне хотелось понять изменения, которые происходят глубже: Как люди анализируют информацию? Что вызывает доверие? Как мы принимаем решения о покупке? Получилась лекция примерно на час с примерами, исследованиями и моими

28🔥15🙏3👏1

13 Jul 2026, 06:12 UTC≈1,240 views7 reactionsread 7 August 2026

Сделала, наконец, то, что давно хотела — выложила большой материал в мой второй канал по глобальным трендам в маркетинге и продвижении Поняла, что более длинный формат мне ближе, поэтому буду в канале выкладывать редко, но метко))) в августе планирую лекцию про актуальные lifestyle-символы, fashion-коры и эстетики 2027-2028 — почему они важны, как раз в материале ниже

7

30 Jun 2026, 08:07 UTC≈1,440 views36 reactionsread 7 August 2026
Photo

Тренды телеграм-каналов Недавно на конференции я рассказывала про пользу мониторинга телеграм и открытых медиа (поделилась презентацией выше) А сейчас хочу показать, как продвинулась наша разработка с AI для мониторинга телеграм 1️⃣собираем топ-стилистики за последний период: макро-тренды, которые сейчас популярны больше всего в публикациях сейчас • романтизм • минимализм • классика • ретро • преппи 2️⃣ собирае

🔥297

22 Jun 2026, 06:06 UTC≈1,650 views38 reactionsread 7 August 2026
File

Презентация с моего выступления "Мониторинг телеграм и открытых медиа для поиска и анализа трендов fashion" В ней: • почему и зачем мониторить каналы • список полезных каналов и медиа • примеры трендов из каналов и почему они работают 🔥Немного рассказала про планируемый проект для мониторинга тг-каналов не в ручном формате🔥

🔥344

17 Jun 2026, 10:48 UTC≈1,830 views34 reactionsread 7 August 2026
Photo

Почему телеграм-каналы — рабочий инструмент для поиска трендов? 🕵️ Мы сейчас с мужем (он — data-инженер) делаем инструмент с использованием AI, чтобы было легче собирать данные по трендам из тг-каналов и видеть аналитику. Надеюсь, в ближайший месяц смогу анонсировать пилотный доступ для вас. Пока проанализировали посты из 18 каналов за последние 90 дней. На скриншоте пример — обученная нами нейросеть идентифициров

17🔥161

15 Jun 2026, 08:51 UTC≈1,580 views13 reactionsread 7 August 2026
Photo

19 июня выступлю на бесплатной конференции с темой — Мониторинг телеграм и открытых медиа для поиска и анализа трендов fashion Чтобы понять ценность участия, рекомендую самостоятельно посмотреть Расписание 🔥 Онлайн-конференция на 3 дня от wbcommunity, где выступят 30+ сильных экспертов Регистрация за ~1 мин. даст: — доступ ко всем эфирам 30+ спикеров — чат общения на 6000+ селлеров, менеджеров и всех, кто связан с

🔥65🥰2

Showing the 10 most recent of 10 posts we hold for @now_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.

Citation-graph rank

Citation-graph rank — 355,042 of 1,340,412entries 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 3 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.

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

“Тренд-аналитик | Мария Севостьянова” (@now_trends), 3,135 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/now_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.