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Channel

Modern Data Stack News [ru]

@moderndatastack_ru

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

43subscribers

+0 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001717025483
TypeChannel
Username@moderndatastack_ru
DescriptionНовостной поток о Modern Data Stack Самые интересные новости обсуждаем в подкасте Data Coffee @datacoffee Сайт https://datacoffee.link
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live15 August 2026
Measurements held2
On Telegramt.me/moderndatastack_ru

Growth

436 August 2026 — 43 subscribers10 August 2026 — 43 subscribers6 August 202610 August 2026
2 measurements spanning 4 days. 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 42–44 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 16:1643no change
6 Aug 2026, 14:3743first reading

Engagement

20 posts held, back to 10 August 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
8.32%
avg views ÷ 43 subscribers
Avg views / post
3.6
19 posts measured
Reaction rate
25.8%
reactions ÷ views · ER floor
Posts in window
20
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. It is computed over the 8 of 19 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 August 2026
Posts held20 (10 August 202610 August 2026)
Views total68
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 16:16 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

Links
14,100

Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

8 reactions across 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👎8100.0%

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 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 8reactions 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 10 August 2026 to 10 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

10 Aug 2026, 16:08 UTC2 viewsread 10 August 2026

2026-08-10: Новые инструменты и ресурсы для ИИ от NVidia и AMD 📰 Появились новые ресурсы и инструменты для работы с моделями ИИ: • NVidia blog про модель • NVidia NIM контейнер • VLLM inference • SGlang inference • AMD в связке с LM Studio Все они расширяют возможности для инференса и разработки. 🌎 Источники: • catalog.ngc.nvidia.com • recipes.vllm.ai • docs.sglang.io • developer.nvidia.com • amd.com ✍️ by ryb

10 Aug 2026, 15:33 UTC2 viewsread 10 August 2026

2026-08-10: AI Dev Podcast про автономную агентную разработку 🤖 Вышел новый выпуск AI Dev Podcast, посвящённый переходу от вайб-кодинга к управляемой агентной разработке. Основная идея — автономный агент эффективен, когда он встроен в воспроизводимый процесс с чёткими замыслами, критериями приёмки и ограничениями. Владимир Ятульчик рассказал о четырёх ключевых моментах адаптации AIDLC: хранение документации в Git,

10 Aug 2026, 15:33 UTC2 views1 reactionsread 10 August 2026

2026-08-10: Что покажет Apple на сентябрьской презентации? 📱 Apple готовит крупную сентябрьскую презентацию с восемью новыми устройствами. Ожидается презентация iPhone 18 Pro/18 Pro Max, складного iPhone Ultra, Apple Watch Series 12/Ultra 4, обновленной Apple TV 4K, HomePod mini 2 и хаба для умного дома HomePad. iPhone 18 Pro получит переменную диафрагму и увеличенную батарею, а складной iPhone Ultra может стоить

👎1

10 Aug 2026, 14:20 UTC4 views1 reactionsread 10 August 2026

2026-08-10: Как исправить проблемы с ванильным RAG? 🧠 Ванильные RAG-системы часто не работают из-за отсутствия правильной настройки эмбеддера, качества данных, реранкера и дообученного генератора. Дмитрий Калашников, NLP team lead в Яндексе, проведет открытую лекцию, где объяснит типичные точки отказа и методы диагностики проблем в RAG-пайплайне. Будут рассмотрены техники улучшения качества на каждом этапе и сборк

👎1

10 Aug 2026, 14:20 UTC3 viewsread 10 August 2026

2026-08-10: AWS внедряет контроль вызовов агентов вне LLM 🔍 AWS представила трёхслойную архитектуру для кодовых агентов, включающую Firecracker MicroVM, проверенные инженерные скиллы и Cedar-политики для контроля вызовов инструментов. В примере агент попытался развернуть приложение в production, но шлюз проверил аргументы вызова и разрешил только staging. Решение принимает не LLM, а политика работает вне контекста

10 Aug 2026, 13:42 UTC4 views1 reactionsread 10 August 2026

2026-08-10: История метода последовательного тестирования 📊 История последовательного тестирования начинается с 1930-х, когда лаборатория парапсихологии Дюкского университета обнаружила, что испытуемые угадывали карты чаще случайного, что поддерживало идею телепатии. Далее исследование развивалось через статью Феллера 1940 года о картах Зенера и метод SPRT Вальда, а затем алгоритм альфа-spending Lan-DeMets в 1983 г

👎1

10 Aug 2026, 13:07 UTC4 viewsread 10 August 2026

2026-08-10: Робот AgiBot выполняет акробатические движения 🤖 В видео показаны реальные съёмки робота AgiBot Expedition A3, выполняющего удары, вращения и акробатику. Движения человека снимаются на видео, затем AI извлекает motion capture и переносит их на скелет робота. С помощью imitation learning и RL робот обучается выполнять сложные моторные навыки, балансируя и корректируя движения в реальном времени. Рост ро

10 Aug 2026, 12:31 UTCviews —

Modern Data Stack News [ru] pinned «📊 Топ новостей за 09.08.2026 1. Уроборос в GitHub Trending и интеграция с Claudexor 🚀 🏷️ #news #tools ✍️ by abstractDL 🔥 306 2. Neon ускорил запись в PostgreSQL в 5 раз ⚡ 🏷️ #news #tools #data ✍️ by data_engi 🔥 9 3. Рост использования…»

10 Aug 2026, 12:31 UTC5 viewsread 10 August 2026

📊 Топ новостей за 09.08.2026 1. Уроборос в GitHub Trending и интеграция с Claudexor 🚀 🏷️ #news #tools ✍️ by abstractDL 🔥 306 2. Neon ускорил запись в PostgreSQL в 5 раз ⚡ 🏷️ #news #tools #data ✍️ by data_engi 🔥 9 3. Рост использования action-тулов в MCP-серверах 📊 🏷️ #news #ai #tools ✍️ by data_engi 🔥 7 4. Тайвань испытал рой беспилотных катеров 🤖 🏷️ #news #ai #tools ✍️ by dat

10 Aug 2026, 12:29 UTC5 views1 reactionsread 10 August 2026

2026-08-10: Эфир о влиянии AI на жизнь и личность 🧠 17 августа в 14:00 МСК состоится онлайн эфир с Ильёй Красинским и Алексеем Ивановым о влиянии AI на человека и жизнь. Обсудят: • Где проходит граница между действиями AI и человека • Как AI становится естественной частью жизни, как когда-то интернет • AI как отражение наших паттернов и ограничений • Вопросы ответственности за решения, принятые машиной • Что остаёт

👎1

10 Aug 2026, 12:29 UTC4 viewsread 10 August 2026

2026-08-10: PRD и evals: как AI меняет роли продактов и ML-инженеров 🤖 В прямом эфире обсудят изменения в роли продакт менеджеров, где граница между ними и ML-инженерами становится всё тоньше. Основная тема — формула PRD == evals и её значение для работы с AI-продуктами. Рассмотрят, кто такой AI Product Builder и особенности новой профессии, а также какие навыки должны осваивать продакты и ML-инженеры. Обсудят пере

10 Aug 2026, 11:53 UTC2 viewsread 10 August 2026

2026-08-10: Релиз Muse Glimmer 30B от Meta Superintelligence Labs 🚀 Meta Superintelligence Labs выпустила новую открытую LLM Muse Glimmer 30B под лицензией Apache 2.0. • Модель 30B dense, дистиллированная версия Muse Spark для локального инференса на 1 GPU. • Поддерживает мультимодальный ввод (картинки и видео) и более 100 языков, имеет контекст до 131к токенов. • Обладает высокой скоростью инференса и улучшенными с

Showing the 12 most recent of 20 posts we hold for @moderndatastack_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 — 356,179 of 1,481,217entries 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.

Mentions

Named by 2 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.

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

“Modern Data Stack News [ru]” (@moderndatastack_ru), 43 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/moderndatastack_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.