Channel
@dkwbshnik
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
526subscribers
-9 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001732839100 |
|---|---|
| Type | Channel |
| Username | @dkwbshnik |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/dkwbshnik |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 16:52 | 526 | -3 |
| 14 Aug 2026, 17:24 | 529 | -5 |
| 8 Aug 2026, 03:50 | 534 | no change |
| 7 Aug 2026, 19:43 | 534 | -1 |
| 7 Aug 2026, 12:22 | 535 | first reading |
15 posts held, back to 8 May 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 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 22 July 2026. An engagement rate over an empty window would be a number about nothing.
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.
57 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 70.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 40 | 70.2% | |
| ❤ | 10 | 17.5% | |
| 👍 | 4 | 7.02% | |
| 😢 | 2 | 3.51% | |
| 🙏 | 1 | 1.75% |
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 15 of the 15 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 57reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 8 May 2026 to 22 July 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 @dkwbshnik. 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 15 most recent posts we hold for this entry, published 8 May 2026 to 22 July 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.
Сейчас действительно отгрузки товаров напоминают игру в морской бой... как бы это ужасно не звучало на одном кабинете везет второй раз подряд, за день до отгрузки склад выходит из строя, и не знаешь какой склад будет следующим мой совет сейчас, отгружайтесь по максимуму в менее популярные склады, небольшие города, это не 100% защита конечно же, но думаю шансы увеличатся, сохранить часть партии
🔥2😢2
Video, posted without a caption
🔥2👍1
Как узнать сколько у вас было товаров до текущей ситуации на электростали и Котовске Для примера взял небольшой кабинет, чтобы удобнее было все посмотреть Заходим в отчеты -> платное хранение -> отчет по номенклатурам -> выбираем дату с 17 по 17 число -> скачиваем документ, переходим в эксель. Если у вас много товаров, то лучше поставить в столбец склады фильтр на Электросталь и Котовск. В столбце «Количество штри…
👍2🔥2
File, posted without a caption
🔥4
Нашел инструкцию-шаблон действий для селлера, у тех, кто потерял вчера остатки на Электростале и Котовске, делитесь со знакомыми продавцами, думаю частично сможет вам помочь Я посчитал и у нас вышло около 300 тыс руб, потерь с нескольких кабинетов, было бы больше, так как планировали отгрузку на сегодня, теперь перенесли поставки на другие склады. Ситуация на самом деле ужасная, помимо материальных потерь у всех сел…
🔥2🙏1
Всесезонные товары и сезонные Везде есть свои нюансы, плюсы, минусы и по обоим стратегиям можно работать)
❤1🔥1
Выбор товара ЧАСТЬ 2 - Категории ниш Все ниши хороши — если знаешь, что с ними делать. Главное не выбор товара, а понимание инструментов в каждой категории. Условно всесезонные товары (УВТ) - ирригаторы, ремни, мусорные вёдра, продаются круглый год. • Постоянный доход, при больших объёмах проще выйти в топ • Дорогая реклама, маржа ниже, сильные конкуренты • Подходит тем, кто готов держать руку на пульсе весь год С…
🔥2👍1
Как выбрать товар на WB, который реально принесёт деньги, а не головную боль Большинство селлеров выбирают товар интуитивно - «кажется, это продаётся». И именно здесь теряются деньги. Выбор товара - это не угадайка, а система. Нет плохих ниш - есть неправильный подход к ним. И нет универсального рецепта, у каждого селлера своя система. Алгоритм выбора товара: 1) Определить бизнес-модель - купил → продал или создал …
🔥4
АВС-анализ на WB, как понять, какие товары тянут бизнес вверх, а какие — в минус Если у вас больше 30 артикулов, то без АВС-анализа вы управляете ассортиментом вслепую. Этот инструмент ранжирует товары по рентабельности и показывает, что масштабировать, что тянуть, а от чего отказаться. Каждый товар оценивается по трём критериям: 💰 Операционная прибыль 📊 Сумма реализации до СПП 📦 Количество реализованного товара П…
🔥3
📊 Оборот ≠ прибыль Почему без оцифровки бизнес на WB - это игра вслепую Многие селлеры смотрят на миллионный оборот и думают, что зарабатывают, но реальность бывает жёсткой - 48 млн рублей оборота в месяц, и при этом минус 15 млн рублей. Это не бизнес - это катастрофа. Оцифровка даёт ответы на главные вопросы: 📈 Почему растут или падают продажи? 💸 Где теряется маржа? 📦 Какие товары сливать, а какие масштабировать? …
❤2🔥2
Изучаем новые модели на осень, проводим диагональное сканирование и составление плана продаж 🤝
🔥5
Сейчас работаем с поставкой и редактированием плана продаж СПП не видно, деньги висят долго поступают на РС, но мы не сдаемся 😁🙃
🔥2❤1
Showing the 12 most recent of 15 posts we hold for @dkwbshnik. 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.
Citation-graph rank — 781,104 of 1,585,759entries 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.
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.
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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“Данил|Помощь селлерам” (@dkwbshnik), 526 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/dkwbshnik.
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.