Telegram RegisterThe public register of Telegram
Telegram profile photo for Big Data AI

Channel

Big Data AI

@bigdatai

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

18,201subscribers

+31 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001684696497
TypeChannel
Username@bigdatai
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live27 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/bigdatai

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

18,13418,23118,182.56 August 2026 — 18,170 subscribers6 August 2026 — 18,170 subscribers6 August 2026 — 18,161 subscribers7 August 2026 — 18,156 subscribers8 August 2026 — 18,152 subscribers9 August 2026 — 18,148 subscribers10 August 2026 — 18,145 subscribers11 August 2026 — 18,143 subscribers12 August 2026 — 18,142 subscribers13 August 2026 — 18,141 subscribers14 August 2026 — 18,134 subscribers16 August 2026 — 18,137 subscribers17 August 2026 — 18,140 subscribers18 August 2026 — 18,137 subscribers19 August 2026 — 18,140 subscribers20 August 2026 — 18,146 subscribers22 August 2026 — 18,149 subscribers23 August 2026 — 18,192 subscribers25 August 2026 — 18,197 subscribers28 August 2026 — 18,198 subscribers29 August 2026 — 18,196 subscribers30 August 2026 — 18,207 subscribers31 August 2026 — 18,204 subscribers1 September 2026 — 18,222 subscribers2 September 2026 — 18,231 subscribers4 September 2026 — 18,230 subscribers6 September 2026 — 18,219 subscribers9 September 2026 — 18,212 subscribers11 September 2026 — 18,202 subscribers13 September 2026 — 18,198 subscribers15 September 2026 — 18,206 subscribers17 September 2026 — 18,221 subscribers27 September 2026 — 18,201 subscribers18,2016 August 202627 September 2026
33 measurements spanning 52 days, net +31. 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 18,119–18,246 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
27 Sept 2026, 04:4118,201-20
17 Sept 2026, 14:1918,221+15
15 Sept 2026, 10:5918,206+8
13 Sept 2026, 16:1518,198-4
11 Sept 2026, 22:0018,202-10
9 Sept 2026, 14:5618,212-7
6 Sept 2026, 07:1718,219-11
4 Sept 2026, 00:3618,230-1
2 Sept 2026, 13:2318,231+9
1 Sept 2026, 14:3418,222+18
31 Aug 2026, 11:0318,204-3
30 Aug 2026, 07:3718,207+11
29 Aug 2026, 04:5518,196-2
28 Aug 2026, 07:4318,198+1
25 Aug 2026, 03:5318,197+5
23 Aug 2026, 20:0318,192+43
22 Aug 2026, 02:2618,149+3
20 Aug 2026, 20:3418,146+6
19 Aug 2026, 18:2618,140+3
18 Aug 2026, 15:5418,137first reading

Engagement

54 posts held, back to 9 July 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.93%
avg views ÷ 18,201 subscribers
Avg views / post
898
8 posts measured
Reaction rate
0.56%
reactions ÷ views · ER floor
Posts in window
8
of 54 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 7 of 8 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 2 September 2026
Posts held54 (9 July 2026 – 2 September 2026)
Views total7,184
Reactions total37
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 08:55 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
9m 46s
Average length
1m 13s

Measured directly from 8 videos 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

374 reactions across 49 posts, in 15 distinct kinds. The most used accounts for 32.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤12032.1%
👍8923.8%
😁6918.4%
🔥3910.4%
💯102.67%
🙈92.41%
🥰82.14%
👎61.60%
🤔61.60%
🤡61.60%
👀30.802%
😢30.802%
🤣30.802%
🥱20.535%
🤮10.267%

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 51 of the 54 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 388 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 9 July 2026 to 2 September 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
9.26%
5 of 54 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
1,190
over 5 measured posts
Median views · rest
1,420
over 49 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqxRy2AP118 August 202618 August 2026
2VtzqxjjqGo113 August 202613 August 2026
2W5zFGFYJC911 September 20261 September 2026
2W5zFGUGZzq117 August 202617 August 2026
2W5zFJtGMPF118 August 202618 August 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 54 most recent posts we hold, published 9 July 2026 to 2 September 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

2 Sept 2026, 12:00 UTC572 viewsread 3 September 2026

CLIX — агент CLI, который выполняет команды на вашем компьютере. В настоящее время в clix используется gpt-4 для LLM.

1 Sept 2026, 08:33 UTC805 views2 reactionsread 3 September 2026
Advertisementerid 2W5zFGFYJC9Photo

Как будут развиваться технологии искусственного интеллекта в ближайшие годы? Какие исследовательские идеи уже превращаются в работающие продукты? С какими задачами сегодня сталкиваются AI-команды? 17 сентября в Москве пройдёт AI R&D DAY — конференция для исследователей, разработчиков, руководителей R&D-команд и специалистов, которые создают и внедряют передовые решения на основе ИИ. В центре программы — NextGenAI, п…

❤2

31 Aug 2026, 14:40 UTC884 views4 reactionsread 3 September 2026
Video

🔥 Бесплатный ElevenLabs, который можно запускать локально: VoiceStudio - локальная open-source студия для работы с голосом без подписок и лимитов В одном приложении собрали: - клонирование голоса по короткому образцу - создание голоса по описанию - возраст, акцент, стиль, подача - автоматический дубляж видео с переводом и разделением спикеров - импорт EPUB/PDF и сборку многоголосых аудиокниг .m4b - диктовку с очи…

❤2👍1🔥1

31 Aug 2026, 12:40 UTC807 views3 reactionsread 3 September 2026
Photo

🔥 Python + AI без игрушечных демок. Курс для тех, кто хочет собирать рабочие системы. Stepik: «Python современный AI для разработчика и автоматизации задач» 63 урока, 382 шага, практика с кодом и автопроверкой. Внутри: RAG, tool calling, агенты, evals, MCP, Ollama, vLLM, pgvector + HNSW, безопасный text-to-SQL, prompt injection, кэш, очереди и sandbox для агентного кода. Плюс реальные автоматизации: почта, отчёты…

❤1👍1🔥1

30 Aug 2026, 11:57 UTC955 views9 reactionsread 3 September 2026
Video

Тир-лист открытых ИИ- моделей: кто в S, а кто просто для галочки Разложил актуальные open source модели по тирам. В S попали GLM-5.3, Hy4-preview, Kimi K3, Qwen3.8-Flash и DeepSeek-R1, в A ушли Qwen3.8-27B, GLM-5.3-Flash, DeepSeek-V3, Gemma 3 и Llama 3.3 70B. Ниже пошли специализированные и маленькие модели вроде Phi-4, Qwen2.5-Coder, TinyLlama и CodeGemma. Нижние строки остались пустыми, и это главный вывод про …

👍4👎3❤2

29 Aug 2026, 09:29 UTC≈1,080 views6 reactionsread 3 September 2026
Photo

🚨 OpenAI прекращает сотрудничество с Cursor после покупки компании SpaceX OpenAI уведомила SpaceX, что прямой доступ Cursor к её моделям будет отключён 12 ноября 2026 года. Новые модели, включая будущую Astra, Cursor также не получит. Причина, которую назвала OpenAI, - недоверие к компаниям Илона Маска из-за предыдущих нарушений контрактов и условий использования. Cursor официально перешёл под контроль SpaceX в ав…

👍4❤2

28 Aug 2026, 21:22 UTC≈1,180 views8 reactionsread 3 September 2026

10 GitHub-репозиториев, которые сильнее всего залетают прямо сейчас Собрал свежую подборку проектов, которые заметно растут и активно обсуждаются. 1. OpenAI Codex Coding agent от OpenAI для терминала и автоматизации разработки. https://github.com/openai/codex 2. God's Eye View OSINT и открытые геоданные на интерактивном 3D-глобусе: авиация, спутники и другие источники. https://github.com/bilawalsidhu/gods-eye-vi…

👍7❤1

26 Aug 2026, 10:34 UTC≈1,270 views5 reactionsread 3 September 2026
Photo

📚 Бесплатная книга по выпуклой оптимизации - 130 страниц "Convex Optimization: Algorithms and Complexity" - хорошее введение в алгоритмы выпуклой оптимизации и их вычислительную сложность. Внутри: * градиентные методы * ускоренные методы * субградиентная оптимизация * проксимальные алгоритмы * first-order methods * оценки скорости сходимости * сложность оптимизационных алгоритмов Полезно для ML, математики и тех,…

❤5

25 Aug 2026, 10:09 UTC≈1,440 views8 reactionsread 3 September 2026
Photo

🚀 Будущее AI — это не только ум, но и скорость Одно из самых интересных интервью года — Tibo у Matthew Berman. Одна мысль особенно цепляет: в ближайшем будущем скорость около 750 токенов в секунду может стать обычным стандартом, а не редким достижением. И это важно. Мы всё больше времени проводим, наблюдая, как AI-агенты работают: анализируют, пишут код, запускают задачи. Каждая секунда ожидания — это потеря вре…

❤5👍3

24 Aug 2026, 10:33 UTC≈1,640 views11 reactionsread 3 September 2026
Video

Сгорел на работе

😁8😢3

21 Aug 2026, 12:01 UTC≈1,800 views7 reactionsread 3 September 2026
Video

☁️☁️☁️☁️☁️☁️☁️ Yandex Cloud 24 сентября проведёт флагманскую конференцию в Москве — Yandex Scale 2026. 🎨🎨🎨🎨🎨🎨🎨🎨🎨🎨 🎨🎨🎨🎨🎨🎨🎨🎨🎨🎨 🎨🎨🎨🎨🎨🎨🎨🎨🎨 В программе четыре продуктовых трека — AI, Data, Security и Hybrid Infrastructure & DevOps, — и отдельный углублённый технологический трек DeepTech, который пройдёт только онлайн. В треке AI откроем программу докладом о том, как развиваются платформы для создания ИИ-агентов и рынок…

👍4🔥2❤1

Showing the 12 most recent of 54 posts we hold for @bigdatai. 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.

Forward network

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 54 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Data Science. SQL hub
@sqlhub · 35,960
Telegram ranks this channel #6 of 87 here — alongside 86 others — read 2 September 2026
Python вопросы с собеседований
@python_job_interview · 24,881
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 15 September 2026
Data Science
@datascienceiot · 42,634
Telegram ranks this channel #7 of 76 here — alongside 75 others — read 29 August 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,656
Telegram ranks this channel #8 of 93 here — alongside 92 others — read 25 August 2026
Искусственный интеллект. Высокие технологии
@vistehno · 71,491
Telegram ranks this channel #8 of 94 here — alongside 93 others — read 20 August 2026
Python/ django
@pythonl · 58,866
Telegram ranks this channel #13 of 84 here — alongside 83 others — read 22 August 2026
Data Science Jobs
@datascienceml_jobs · 21,227
Telegram ranks this channel #17 of 97 here — alongside 96 others — read 24 September 2026
Machine learning Interview
@machinelearning_interview · 30,308
Telegram ranks this channel #19 of 98 here — alongside 97 others — read 7 September 2026
Магия Excel
@lemur_excel · 49,863
Telegram ranks this channel #35 of 95 here — alongside 94 others — read 25 August 2026
Machinelearning
@ai_machinelearning_big_data · 279,417
Telegram ranks this channel #37 of 95 here — alongside 94 others — read 10 August 2026
DevOps
@DevOPSitsec · 23,684
Telegram ranks this channel #64 of 90 here — alongside 89 others — read 18 September 2026
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,002
Telegram ranks this channel #65 of 82 here — alongside 81 others — read 7 September 2026
Linux Academy
@linuxacademiya · 28,434
Telegram ranks this channel #76 of 84 here — alongside 83 others — read 9 September 2026
Golang
@Golang_google · 40,461
Telegram ranks this channel #79 of 90 here — alongside 89 others — read 30 August 2026
Kali Linux
@linuxkalii · 55,412
Telegram ranks this channel #79 of 89 here — alongside 88 others — read 23 August 2026

This channel appears in 15 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“Big Data AI” (@bigdatai), 18,201 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/bigdatai.

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.