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Channel

Writelo - СММ

@writelo

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

40subscribers

+2 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003896299040
TypeChannel
Username@writelo
CreatedBetween 1 February 2026 and 21 April 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live24 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 24 August 2026
On Telegramt.me/writelo

Growth

3840398 August 2026 — 38 subscribers10 August 2026 — 38 subscribers16 August 2026 — 40 subscribers8 August 202616 August 2026
3 measurements spanning 9 days, net +2. 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 38–40 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 21:3840+2
10 Aug 2026, 20:4738no change
8 Aug 2026, 07:1838first reading

Engagement

13 posts held, back to 21 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
40.0%
avg views ÷ 40 subscribers
Avg views / post
16.0
1 post measured
Reaction rate
50.0%
reactions ÷ views · ER floor
Posts in window
1
of 13 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 7 August 2026
Posts held13 (21 April 20267 August 2026)
Views total16
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 20:47 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
25s
Average length
8s

Measured directly from 3 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.

Reaction mix

119 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 47.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5647.1%
🔥3025.2%
2117.6%
custom 587756149931193483386.72%
😁32.52%
👏10.84%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 13 of the 13 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 119reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 21 April 2026 to 7 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

7 Aug 2026, 12:01 UTC16 views8 reactionsread 10 August 2026
Video

😎 Новый смм тренд для баров, кофейнь, ресторанов и подобных видео 1 - 6 дней назад (Испания, 2м просмотров) видео 2 - 8 дней назад (Россия, 1.2м просмотров) Формат все еще рабочий и легко повторяемый 👍 #тренды📤 @writelo🎤

👍52custom 58775614993119348331

26 Jul 2026, 11:37 UTC56 views6 reactionsread 10 August 2026
Photo

👀 Найдите рилс-референсы по своей тематике Теперь на writelo есть возможность ввести в поиск описание в свободном формате и получить ровно то, что ищете Например, "с детьми" или "шутки над тренером" С помощью наших ИИ алгоритмов мы научили поиск понимать, что происходит внутри рилса, поэтому результаты можно вылавливать с очень высокой точностью Проверьте сами на writelo.io! 👍 📤 @writelo🎤

👍5🔥1

3 Jul 2026, 14:09 UTC88 views4 reactionsread 10 August 2026
File

😎 Шаблон для составления контент плана Шаблон гугл таблички для составления контент плана и подведения статистики Прилагается к ролику на ютубе, инстаграм и тиктоке 😊 👍 #материалы📤 @writelo🎤

👍4

24 Jun 2026, 13:48 UTC122 views11 reactionsread 10 August 2026
Photo

📈 Мы дошли до отметки 1000 Наша база контента достигла отметки в 1000 добавленных рилс-идей среди 10 бизнес-ниш Самые любимые ниши пользователей: - кофейни - рестораны - бьюти Активировать тренды 👍 📤 @writelo🎤

👍82👏1

10 Jun 2026, 14:11 UTC129 views14 reactionsread 10 August 2026
Photo

😨 А вы знали как за пару кликов попасть в яндекс? Если проанализировать свой рилс в анализаторе роликов на writelo, а потом нажать кнопку "поделиться" и переслать другу, через некоторое время этот разбор попадёт в яндекс ℹ️ В разборе будет полная транскрипция и описание ролика, так что Алиса AI будет знать о вашем заведении, акциях или событиях, о которых вы рассказываете в ролике, что помогает привлечь вам клиенто

👍7🔥43

8 Jun 2026, 07:11 UTC98 views8 reactionsread 10 August 2026
Video

😈 Прокачали анализатор вертикальных видео Теперь наш маскот будет реагировать соразмерно выставленным за ролик баллам 👀 Также теперь репортом из анализатора можно поделиться в социальных сетях! Вот пример - https://writelo.io/short-video-analyses/shared/anons-otkrytiia-kofeini-0ji2rwab Мне жук выдал 23 балла, сможете перебить? Попробовать можно бесплатно после регистрации - writelo.io В комментариях ваши варианты

4👍2🔥2

30 May 2026, 04:52 UTC136 views9 reactionsread 10 August 2026
Photo

😎 Writelo запускает свой блог Мы с командой выпустили нашу первую статью на тему "Виральные идеи Instagram для кофеен в 2026", где собрали самые виральные идеи для смм кофеен за последние полтора месяца 👾 Не только юмор, но и идеи для повышения уровня эстетики и семейной атмосферы — не только про тренды, но и про стабильно собирающие охваты идеи Теперь минимум раз в неделю будем выпускать разбор на нишу. Почитать

🔥5👍31

25 May 2026, 12:21 UTC110 views14 reactionsread 10 August 2026
Photo

🍲 Хотите разбираться в трендах и при этом ограничивать себя в скроллинге? С Writelo теперь это действительно возможно: 🧐 — наша команда смм специалистов ежедневно отбирает 100 вирусных трендов и загружает на сайт — каждый загруженный рилс лично проверен професионалом — на сайте можно сортировать по кол-ву аудитории, просмотрам и прочему Пробовать бесплатно на writelo.io 👍 📤 @writelo🎤

🔥6👍42custom 58775614993119348332

16 May 2026, 11:40 UTC135 views12 reactionsread 10 August 2026
Photo

Если не сделаешь это, будешь никому не нужен 😢 Перед тем, как начать создавать продукт, я поговорил со своими потенциальными пользователями Кастдев (CustDev) — это интервью с потенциальными клиентами, чтобы до создания продукта понять, есть ли у них реальная проблема и как они с ней живут сейчас 📌 Я провел 12 интервью за 7 дней и вот, что я понял: - я ничего не знаю про свою аудиторию (теперь знаю) - бизнес исполь

🔥5custom 587756149931193483332👍2

6 May 2026, 19:02 UTC141 views8 reactionsread 10 August 2026
Photo

От твёрка в костюме совы до 6 млн просмотров за 4 часа 👅 В 2020 году в Duolingo взяли единственного SMM-щика. Им оказалась 23-летняя выпускница из Орегона по имени Зария Парвез. Это была её первая работа после колледжа. Хоть в вакансии и требовалось 2-3 года опыта, её всё равно взяли — почему? Сама Зария до сих пор не знает: Я не помню, что говорила на собеседовании, но я им понравилась 👀 Зария давно думает про T

👍3😁32

30 Apr 2026, 06:14 UTC120 views9 reactionsread 10 August 2026
Video

⚡️ Туториал на новый стиль монтажа 🔗Рассказываю и показываю, как смонтировать такой ролик в CapCut за 15 минут, здесь Что в этом посте? • все референсы из видео • 20 саунд эффектов ⬇️Все ресурсы в комментариях к посту 👍 #youtube➕#звуки 📤 @writelo🎤

👍5🔥2custom 58775614993119348332

26 Apr 2026, 16:48 UTC118 views6 reactionsread 10 August 2026
Photo

❤️ 4 максимально стильных шрифта весны Все шрифты доступны внутри CapCut и имеют хорошую поддержку кириллицы 🔗Philosopher 🔗Petale 🔗Лиана 🔗Lena 👍 #шрифты 📤 @writelo🎤

🔥3👍21

Showing the 12 most recent of 13 posts we hold for @writelo. 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 — 582,267 of 1,629,372entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

“Writelo - СММ” (@writelo), 40 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/writelo.

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.