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Channel

DS-CONF. НЕЙРОСЕТИ ДЛЯ БИЗНЕСА

@DSCONFAI

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

135subscribers

-8 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002311286145
TypeChannel
Username@DSCONFAI
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/DSCONFAI

Growth

1351431397 August 2026 — 143 subscribers8 August 2026 — 142 subscribers8 August 2026 — 142 subscribers16 August 2026 — 138 subscribers24 August 2026 — 137 subscribers30 August 2026 — 135 subscribers7 August 202630 August 2026
6 measurements spanning 23 days, net -8. 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 134–144 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 20:57135-2
24 Aug 2026, 01:48137-1
16 Aug 2026, 15:16138-4
8 Aug 2026, 21:47142no change
8 Aug 2026, 04:36142-1
7 Aug 2026, 16:06143first reading

Engagement

20 posts held, back to 28 March 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
9.26%
avg views ÷ 135 subscribers
Avg views / post
12.5
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 20 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 held20 (28 March 20267 August 2026)
Views total50
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 21:47 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
13s
Average length
13s

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

70 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3042.9%
1420.0%
🥰1318.6%
👍1115.7%
💩11.43%
🤡11.43%

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 16 of the 20 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 70reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 28 March 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.

Advertising

Ad load
5.00%
1 of 20 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
129
over 1 measured post
Median views · rest
39.0
over 19 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.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzqx3bkqc128 March 202628 March 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 20 most recent posts we hold, published 28 March 2026 to 7 August 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

7 Aug 2026, 17:14 UTC10 viewsread 8 August 2026
Photo

MCP-протокол: почему его называют новым стандартом для AI-агентов AI-агент становится полезным не тогда, когда хорошо отвечает на вопросы, а когда умеет работать с реальным окружением: находить данные, обращаться к CRM, запускать инструменты, работать с файлами и выполнять действия в других системах. И здесь возникает проблема: раньше для каждого подключения приходилось создавать отдельную интеграцию. CRM + AI - о

6 Aug 2026, 10:38 UTC17 viewsread 8 August 2026
Photo

AI-агенты вместо сотрудников: какие задачи уже полностью автоматизируются в бизнесе Еще несколько лет назад искусственный интеллект помогал выполнять отдельные задачи: написать текст, обработать изображение или ответить на вопрос. Сегодня компании переходят на новый уровень - внедряют AI-агентов, которые самостоятельно выполняют целые бизнес-процессы. Главное отличие AI-агента от обычного чат-бота заключается в сп

3 Aug 2026, 16:57 UTC14 viewsread 8 August 2026
Forwarded from @prodazyproPhoto

РАЗБОР ВЫСТУПЛЕНИЙ И САМОПРЕЗЕНТАЦИЙ ДЛЯ ПРЕДПРИНИМАТЕЛЕЙ, IT СТАРТАПОВ, ЭКСПЕРТОВ 5 августа | 10:00–13:00 Вы приходите с презентацией вашего проекта. Выступаете 4–5 минут. Мы разбираем вашу самопрезентацию, упаковку, подачу и содержание. То, что напрямую влияет на ваши сделки, Даём обратную связь - от экспертов и от участников, насколько ваше выступление и самопрезентация цепляет. Что получите: · Готовую упако

2 Aug 2026, 12:32 UTC9 viewsread 8 August 2026
Forwarded from @prodazyproVideo

🎬 Красивый AI-кадр уже умеют делать все, а вот собрать КИНО — вот где боль. Мы — премиум AI продакшн «Замескино». 20 лет снимали рекламу для брендов на камеры, последний год делаем то же самое но только на AI инструментах и параллельно строим AI Киностудию❤️ Уже в понедельник мы покажем результат — новый ролик и наш первый кейс после решения поднять качество AI-видео до уровня настоящего кино. На бесплатном вебина

28 Jul 2026, 10:59 UTC29 views5 reactionsread 8 August 2026

Вчера мы разобрали, почему проваливаются проекты по внедрению ИИ? А теперь посмотрим на реальные кейсы крупнейших компаний. 1. Klarna Компания активно внедрила ИИ в службу поддержки и заявляла, что чат-бот способен заменить работу сотен операторов. Но спустя время руководство признало: чрезмерная автоматизация ухудшила качество обслуживания. В итоге компании пришлось вернуть часть обращений живым специалистам.

🔥21👍1🥰1

27 Jul 2026, 10:41 UTC25 views3 reactionsread 8 August 2026
Photo

Разбор технического факапа: компания потеряла миллионы из-за ИИ. Кто виноват? «Нейросеть подвела компанию.» Именно так обычно звучат заголовки после очередного провального внедрения искусственного интеллекта. Но действительно ли виноват ИИ? Одна крупная компания решила автоматизировать службу поддержки с помощью нейросети. План был идеальным: ✔️ сократить расходы; ✔️ ускорить ответы клиентам; ✔️ разгрузить сотру

1👍1🥰1

24 Jul 2026, 08:43 UTC35 views3 reactionsread 8 August 2026
Photo

Финансовый аудит ИИ-интеграций: как считать реальный ROI, а не следовать хайпу Внедрение искусственного интеллекта - это не вопрос моды, а вопрос экономики. Главная ошибка компаний - оценивать ИИ по количеству внедренных инструментов, а не по финансовому результату. Любой ИИ-проект должен отвечать на простой вопрос: какую бизнес-ценность он создает? При оценке эффективности важно смотреть на конкретные показатели:

1🔥1🥰1

22 Jul 2026, 16:07 UTC32 views1 reactionsread 8 August 2026
Photo

Будущее профессий: почему Process Engineer становится ключевой ролью эпохи ИИ Еще недавно казалось, что главной профессией будущего станет «промпт-инженер». Но уже в 2026 году стало очевидно: одного умения писать запросы для нейросетей недостаточно. Компании переходят от использования отдельных ИИ-инструментов к созданию цифровых сотрудников - ИИ-агентов, которые выполняют целые бизнес-процессы. Именно поэтому на п

🔥1

21 Jul 2026, 19:41 UTC36 views1 reactionsread 8 August 2026
Photo

🧠 Модели с глубоким рассуждением: как ИИ научился думать перед тем, как отвечать Еще недавно главным преимуществом нейросетей считалась скорость. Запрос - мгновенный ответ. Но у такого подхода был существенный недостаток: модели могли уверенно выдавать недостоверную информацию, ошибаться в расчетах и «галлюцинировать». Сегодня развитие ИИ идет в другом направлении - от скорости к качеству рассуждений. Модели новог

🔥1

20 Jul 2026, 21:55 UTC191 views3 reactionsread 8 August 2026
Photo

ДС-КОНФ: Конференция про технологии и автоматизацию для среднего и крупного бизнеса 📌 Дата: 24 октября 2026 г. 📍 Место: Москва, Кутузовский проспект, 32 ▌ 🔎 На одной площадке все новейшие решения в области автоматизации, защита данных и технологичные решения для средних и крупных компаний. • Автоматизация и ERP-системы • Технологии в маркетинге и продвижение бренда • Контент, цифровое зрение, аватары • Облачные ре

🔥21

17 Jul 2026, 05:08 UTC39 views5 reactionsread 8 August 2026
Photo

AI и кибербезопасность: почему доступ к данным должен управляться нейросетями Большинство компаний уже внедрили ИИ для автоматизации работы. Но следующий этап цифровой трансформации - использование искусственного интеллекта для защиты корпоративных данных. Сегодня главная угроза — не только внешние атаки, но и человеческий фактор: избыточные права доступа, ошибки сотрудников и утечки информации при увольнении или с

🔥3👍2

15 Jul 2026, 19:27 UTC39 views2 reactionsread 8 August 2026
Photo

AI в HR: как искусственный интеллект меняет подбор и удержание сотрудников Рынок HR выходит на новый уровень. Современные ИИ-системы уже не ограничиваются поиском резюме по ключевым словам. Они анализируют опыт кандидата в контексте, оценивают карьерную динамику, выявляют сильные стороны и прогнозируют успешность работы в конкретной компании. Новое поколение AI-скрининга позволяет значительно повысить качество найм

2

Showing the 12 most recent of 20 posts we hold for @DSCONFAI. 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 — 1,034,403 of 1,628,927entries 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 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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“DS-CONF. НЕЙРОСЕТИ ДЛЯ БИЗНЕСА” (@DSCONFAI), 135 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/DSCONFAI.

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.