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Channel

Nik в мире данных

@analytics_engineer

On this record: Growth · Engagement · Posts · Citations · Cite this entry

1,308subscribers

+3 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-1001526549365
TypeChannel
Username@analytics_engineer
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/analytics_engineer

Growth

1,3051,3081,306.56 August 2026 — 1,305 subscribers7 August 2026 — 1,305 subscribers10 August 2026 — 1,308 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net +3. 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 1,305–1,308 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 10:171,308+3
7 Aug 2026, 06:341,305no change
6 Aug 2026, 09:051,305first reading

Engagement

20 posts held, back to 26 September 2025the 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
83.6%
avg views ÷ 1,308 subscribers
Avg views / post
1,090
2 posts measured
Reaction rate
1.65%
reactions ÷ views · ER floor
Posts in window
2
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 28 July 2026
Posts held20 (26 September 202528 July 2026)
Views total2,186
Reactions total36
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 09:05 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.

Recent posts

28 Jul 2026, 06:41 UTC≈866 views22 reactionsread 6 August 2026

Решил сделать площадку для обсуждений / созвонов по Agentic / AI Engineering in Data на основе топика в @de_zoomcamp. Если кому-то интересно, залетайте туда. Первой темой возьмем Data / Analytics Agents - как они работают, зачем нужны и как их строить. Тема обширная, поэтому пойдем top-down, обсудим все компоненты хай левел, а потом будем разбирать каждый из них в следующих созвонах. Базовые статьи (часть из них, д

20 Jul 2026, 18:39 UTC≈1,320 views14 reactionsread 6 August 2026

Ищу к себе двух инженеров, удаленка (100-150$k) Вакансия ближе к разработке и ML https://job-boards.eu.greenhouse.io/dwelly/jobs/4929545101 Вакансия ближе к разработке https://job-boards.eu.greenhouse.io/dwelly/jobs/4928198101 PS: чуть позже еще будет пара вакансий попроще. Можете писать мне, зареферю :) PS2: если хотите в Лондон - можем сделать визу

6 Jul 2026, 15:46 UTC≈2,050 views35 reactionsread 6 August 2026
Forwarded from @javaswag

в бигтехе после сокращений, флатерингов, лейфоф промзошла тихая девальвация уровней. она и раньше была, но сейчас прям пик если вы мидлл, то ожидания от вас как от сеньор разработчика, отношение как к джуну. для роста нужно вести проект уровня стаффа если джуниор, то должны работать минимум на уровне миддла, для повышения нужно работать на уровне сеньора если сеньор, то пашите как стафф, тяните проект который пар

30 Jun 2026, 19:08 UTC≈3,140 views24 reactionsread 6 August 2026
Photo

DEMate - тот, кто тебя заменит Meta пошарила статью про DEmate - внутреннего AI-ассистента для data engineering, который не просто SQL / питон генератор кода, а готовый AI-слой для полноценного цикла разработки (ака накидаем md в контекст в первых версиях😂), учитывающим специфику внутренних систем Meta (а там без пол-литра иногда и не разобраться 🍺). Главный поинт в том, что LLM становятся полезными в enterprise-ин

18 Jun 2026, 17:34 UTC≈7,140 views30 reactionsread 6 August 2026

Запись - https://www.youtube.com/watch?v=CE0K9ErBqsI Презентация в приложении. Вроде получилось довольно неплохо, хоть и с небольшими проседаниями, так как давно не делал презентаций на английском. Из интересного, удалось сделать полноценный pet project по генерации презентации чисто на промптах с добавлением валидаций на уровне text и image LLM-as-a-judge + multi-LLM asssessment. Любой новый промт включал полный ц

9 Jun 2026, 08:41 UTC≈3,150 views33 reactionsread 6 August 2026

Возвращаюсь в онлайн вебинары 🙂 Залечу на вебинар на следующей неделе во вторник в легендарный DataTalksClub к поговорить (угадайте про что 😘) про Agentic для дата инженеров. 📚Описание The Agentic Shift in Data Engineering: From Pipeline Builders to Architects of Controlled Chaos ​AI agents are changing data engineering on two fronts at once. ​In development, they compress the engineering loop: helping write SQL

27 Apr 2026, 17:28 UTC≈2,280 views62 reactionsread 6 August 2026

А ты все еще веришь в свой CLAUDE.md? Есть две категории вайбкодеров: - те, кто уже перешёл на pre-tool hooks - и те, кто ещё не положил прод, надеясь на md-файл 🙂 По последним новостям можно наблюдать уровень вариативности LLM.. или как быстро удалить все свои данные 👍 Но я конечно не такой, и все у меня в guardrails и обвязках (ага, конечно 😂) У меня в CLAUDE.md инструкция, что DROP TABLE возможен только при р

27 Feb 2026, 17:26 UTC≈2,950 views49 reactionsread 6 August 2026

Как там ДЕ в 2026? 👋 Ну раз все обсуждают, то ворвусь и я. 🫡 «I am so excited, what a time to live, data industry is changing a lot», - сказал мне дата директор моей орги, рассказывая, как он начал делать коммиты и пушить код в прод, вайбкодя презентации и отчеты в параллель. «I was excited a year ago, now I am anxious», - ответил я (как человек, закрывавший задачи кодогенерацией на 90% еще год назад). И пояснил,

15 Feb 2026, 10:36 UTC≈15,800 views50 reactionsread 6 August 2026

Агенты в дата-платформах 🤖 Я уже полгода вожусь с разными дата агентами и другими GenAI решениями для данных. Кодинг / контекст ассистенты уже поменяли индустрию кардинально, а с внутренними агентами ситуация еще интереснее 😘. Допустим, у вас в проде крутится дата агент-оркестратор. Он рулит десятком других агентов, те дёргают ещё по 10 тулов каждый. Сценарий успеха: автоматизировали дата-платформу на 95%, радикал

30 Jan 2026, 14:53 UTC≈2,680 views13 reactionsread 6 August 2026

Дружественная рекомендация по вакансии ML Data Engineer в Recraft - 90-130k £ base + options, London, visa support https://hrlunapark.notion.site/ML-Data-Engineer-2df39c37e87b809a8b74c348ff935797 Писать вопросы и кидать CV Феде из Luna Park - @owlkov Я уже рассказывал про свой собес в рекрафт https://t.me/analytics_engineer/78, а тут у ребят появилась еще более сочная позиция🍿 MLщики из рекрафта активны в лондо

18 Jan 2026, 17:04 UTC≈2,940 views8 reactionsread 6 August 2026

AI Safety триггеры 🤨 Словил нынче отказ Gemini и NanoBanana Pro генерить архитектурные диаграммы на данном промпте 😺 { "subject": "2D Data Flow: 'The Static Lookup'. \nTop: A 'Static Reference Table' (Blue, solid, labeled 'Users/Devices'). \nCenter: Fast-moving 'Event Stream' (Red data packets flowing right). \nBottom: Events passing through a 'JOIN' operator, emerging combined (Purple = Red + Blue). \nAnnotation

Showing the 12 most recent of 20 posts we hold for @analytics_engineer. 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 — 607,710 of 1,160,990entries 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.

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

“Nik в мире данных” (@analytics_engineer), 1,308 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/analytics_engineer.

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.