ФНС с 1 сентября запускает эксперимент по обелению рынка аутстаффинга — 34 компании (Wildberries, Ozon, Магнит, сервисы Яндекса и Сбера и др.) будут напрямую платить налоги за привлекаемых курьеров, сборщиков и упаковщиков. vedomosti.ru

Channel
Digirate - цифры digital-рынков
@digirate_ru
On this record: Also posting the same content · Growth · Engagement · Reactions · Advertising · Posts · Citations · Cite this entry
3,019subscribers
-8 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001643630853 |
|---|---|
| Type | Channel |
| Username | @digirate_ru |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/digirate_ru |
Also posting the same content
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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 02:48 | 3,019 | -4 |
| 10 Aug 2026, 06:41 | 3,023 | -3 |
| 7 Aug 2026, 13:35 | 3,026 | -1 |
| 6 Aug 2026, 21:31 | 3,027 | first reading |
Engagement
19 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 3 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.02%
- avg views ÷ 3,019 subscribers
- Avg views / post
- 242
- 4 posts measured
- Reaction rate
- 0.609%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 19 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. It is computed over the 2 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 July 2026 |
|---|---|
| Posts held | 19 (8 May 2026 – 29 July 2026) |
| Views total | 969 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 00:11 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.
Reaction mix
12 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 33.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 4 | 33.3% | |
| ❤ | 3 | 25.0% | |
| 👍 | 2 | 16.7% | |
| 💯 | 2 | 16.7% | |
| 🔥 | 1 | 8.33% |
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 8 of the 19 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 12reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 8 May 2026 to 29 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.
Advertising
- Ad load
- 5.26%
- 1 of 19 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 1,270
- over 1 measured post
- Median views · rest
- 388
- over 18 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzqxXtHBf | 1 | 30 June 2026 | 30 June 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 19 most recent posts we hold, published 8 May 2026 to 29 July 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Как выглядит компания, которая видит будущее? 🔮 Это не про дорогие ERP-системы. Это про Serenta. Мы превращаем хаос из таблиц, чатов и 1С в единый интеллектуальный центр. За 20 минут живого демо вы увидите: — Как ИИ ищет ответы на вопросы быстрее, чем ваша команда собирает отчеты. — Как выглядит «интеллектуальная компания»: данные -> решение -> действие за секунды. — 3 реальных кейса, где мы посчитали деньги, врем…
❤1
Что ж друзья! Полгода непростого года отгремели, я знаю что вы все уже подбили итоги? Что у вас? Коротко итоги Intelsy: - выручка просела по сравнению с 1-ым полугодием 2025 на 24% - мы в небольшом минусе (в первом полугодии 2025 были в хорошей прибыли) - выиграли пару тендеров с большими клиентами благодаря чему объемы к концу полугодия вышли на октябрьские значения 2025. Это очень радует, пожалуй это самое свет…
❤2
Рост или снижение. Актуальная ситуация в софтверной индустрии В ходе подготовки 23-го ежегодного Исследования РУССОФТ были проанализированы данные, отражающие изменения, происходящие в софтверной индустрии России. На их основании можно делать выводы о состоянии индустрии в 2025 году, строить прогнозы развития ситуации в будущем, а также формировать предложения о необходимых изменениях в госрегулировании. Сейчас мож…
Есть мнение, что бизнесы, которые не начнут AI-трансформацию в 2026 году уже не смогут догнать конкурентов. На фото видно, как больше 100 лет назад автомобильный бум изменил мир за 13 лет до неузнаваемости. На первой фото видно один автомобиль среди роя карет, а на второй фото ровно обратная картинка. Сейчас скорости другие. Думаю в этот раз пройдет 1,5-2 года максимум.
Приглашаем 1 июля принять участие в практической конференции по применению искусственного интеллекта ИИ КОНФА 2026. 📚 В программе: практические кейсы, обзор нейросетей, мастер-классы по написанию промптов и созданию ИИ-агентов, панельные дискуссии, нетворкинг. В числе спикеров конференции – эксперты компаний Сбер, Аскона, Точка Банк, Альфа-Банк, DPD, Почта России, ОТП Банк, Эконива, Дикси, БКС, Нефтьмагистраль, Пят…
10 стадий принятия ИИ: от «он тупой?» до «хочу новую модель айфона» Помните тот момент в 2022-м, когда все вокруг резко разделились на «GPT наше всё» и «да ну, игрушка»? Я тогда был в лагере вторых. Ну серьёзно: коллеги клепают отчёты, которые всё равно приходится переделывать, а я смотрю и думаю: «А нормально работать уже не модно?» Спойлер: я оказался не прав. И не один. На днях наткнулся на текст, где авторка (…
Сегодня в беседе прозвучала фраза: «с развитием AI у рекламного бизнеса и заказной разработки в ИТ перспектив нет:(» Согласны с этим утверждением?
💯2
В ИТ-отрасли большие проблемы. Зарплаты не растут, джунов не нанимают. Виноваты экономика и нейросети Российские ИТ-специалисты столкнулись со стагнацией зарплат. Они не растут из-за нейросетей и ситуации в экономике. Многие не могут найти работу по... подробнее на CNews
😁4
Друзья, рады вам сообщить, что по многочисленным просьбам, мы добавили на сайт средние и медианные значения по следующим рейтингам: Рейтинг аутстаф компаний Рейтинг моб. разработчиков Рейтинг дизайн студий Рейтинг аутсорс компаний
Николай Фетюхин Директор Intelsy и основатель рейтинга «В этом году в нашем исследовании приняли участие более 230 компаний, мы посчитали выручку более 300 юридических лиц, общая выручка которых составила более 100 млрд. руб. По нашей оценке это примерно 25-30% всего рынка заказной разработки. Таким образом можно считать результаты исследования достаточно репрезентативными. Рост рынка в 9,3% беспрецедентно мал. Это …
👍2
Photo, posted without a caption
Showing the 12 most recent of 19 posts we hold for @digirate_ru. 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 — 89,988 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
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.
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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Digirate - цифры digital-рынков” (@digirate_ru), 3,019 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/digirate_ru.
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.