Telegram RegisterThe public register of Telegram

Channel

Не ИИ мозги

@aibobok

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

91subscribers

+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-1002657997120
TypeChannel
Username@aibobok
Description🫆 ИИ-аналитик ai4bi.raftds.ru - Закупки, Продажи, Логистика, Маркетинг, Финансы для Ритейла, Агротеха, Промышленности, Фармы, Спорта 👣 Естественный интеллект об искусственном 🎯 Достижение ценности людьми и бизнесом
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live13 August 2026
Measurements held2
On Telegramt.me/aibobok

Growth

916 August 2026 — 91 subscribers9 August 2026 — 91 subscribers6 August 20269 August 2026
2 measurements spanning 3 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 90–92 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 14:0291no change
6 Aug 2026, 12:0291first reading

Engagement

15 posts held, back to 4 May 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
91.7%
avg views ÷ 91 subscribers
Avg views / post
83.4
7 posts measured
Reaction rate
3.60%
reactions ÷ views · ER floor
Posts in window
7
of 15 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 27 July 2026
Posts held15 (4 May 202627 July 2026)
Views total584
Reactions total21
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 14:02 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

Photos
97
Videos
5
Links
42

Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
2m 59s
Average length
1m 30s

Measured directly from 2 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

85 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 56.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4856.5%
👍1315.3%
89.41%
💩78.24%
😁55.88%
👏22.35%
11.18%
🤓11.18%

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 15 of the 15 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 85reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 4 May 2026 to 27 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.

Recent posts

27 Jul 2026, 04:56 UTC101 views2 reactionsread 9 August 2026
Photo

🏉 Спортивная аналитика с AI4BI Успели выспаться после ЧМ26? Тогда держите обещанный большой разбор прикладных кейсов спортивной аналитики в AI4BI: 🏒 Помогаем хоккейному скауту найти игрока ⚽️ Делаем футбольную аналитику и строим прогноз игры 🏋️‍♀️ Составляем план восстановления и контролируем прогресс с фитнес-тренером Читаем на 👍Хабр 👍vc.ru 👍Яндекс

🔥2

22 Jul 2026, 15:25 UTC97 views3 reactionsread 9 August 2026
Forwarded from @yandexcloudnews

Posted without readable text

👍3

20 Jul 2026, 02:34 UTC97 views3 reactionsread 9 August 2026
Photo

🇪🇸 Прогноз AI4BI на финал ЧМ-26 сбылся: нулевая ничья в основное время и итоговая победа Испании в дополнительное. Только закончившийся финал ЧМ-26 по классике принес 2 новости – хорошую и плохую: 👍 Хорошая в том, что сделанный нами прогноз на матч сбылся на 100% - система давала 0:0 исход на основное время, близкую игру и итоговую победу Испании по результатам дополнительного времени – Аргентина терпела и искала с

3

18 Jul 2026, 11:54 UTC91 views3 reactionsread 9 August 2026
Photo

⚽️ Первый чемпионат мира по футболу, что я запомнил, был тоже в Штатах – 1994 год, я только закончил первый класс, Марадона не только был жив, но даже еще бегал, игры бразильцев в финале мы с соседскими пацанами ждали, не уходя с мячом с поляны рядом с домом... Годы шли…что-то менялось…что-то нет Сегодня все еще ждем финала, но поза чуть поменялась >< 👍Командой AI4BI не смогли удержаться от того, чтобы накатить -

🔥3

17 Jul 2026, 02:58 UTC80 views3 reactionsread 9 August 2026
Forwarded from @ai_archnadzor

🛒 Практический кейс: Анализ промо-акции в ритейле Разницу между дашбордами и агентной архитектурой проще всего понять на примере классической задачи ритейла — оценки эффективности промо-кампании перед выходными днями. Представьте крупную сеть супермаркетов. В пятницу днем поступают хаотичные сигналы: продажи в Питере растут, в Москве — падают (несмотря на плотный трафик), в Екате штучные продажи бьют рекорды, но ма

🔥3

17 Jul 2026, 02:58 UTC57 views3 reactionsread 9 August 2026
Forwarded from @ai_archnadzor

📊 От хранилищ данных к агентной архитектуре (Agentic Data Architecture): референсная модель корпоративного уровня Исторически корпоративная ИТ-инфраструктура строилась вокруг хранения, отчетности и последующей визуализации данных человеком. Хранилища данных (DWH) и BI-дашборды отлично справлялись со своей ключевой задачей — показать, *что произошло*. Однако эта модель пассивна: она лишь визуализирует цифры, переклад

🔥3

17 Jul 2026, 02:58 UTC61 views4 reactionsread 9 August 2026
Photo

👍Андрей Носов, наш Главный архитектор, сделал глубокий технический экскурс в эволюцию подходов к построению аналитических решений и разобрал на кейсе из практики (Анализ промо), как задачи бизнес-аналитики решаются нами сейчас в рамках агентной архитектуры Бегим читать ⬇️

🔥4

14 Jul 2026, 08:26 UTC70 views6 reactionsread 9 August 2026
Forwarded from @v_kodanevPhoto

Порядок потребен глупцу, гений властвует над хаосом??? 🔥 Крупная производственно – торговая компания «СтальГрад» создала центр закупок и логистики (общий центр обслуживания / ОЦО), общей численностью около 100 человек. 🔥 При этом все стратегические и тактические операции были вынесены в головной офис компании в Москве (фронт офис), а все рутинные операции были вынесены в ОЦО (бэк офис) в регионе, цель – избежать ду

🔥31👍1👏1

9 Jul 2026, 06:22 UTC103 views9 reactionsread 9 August 2026
Forwarded from @v_kodanevPhoto

Как же мне надоела тема искусственного интеллекта в закупках Кажется, что только и разговор вокруг про это, при этом у большинства компаний не решены даже базовые гигиенические вопросы по автоматизации цикла закупок на базе ERP Знаете, так и скептиком можно стать, но ведь хочется быть истинным евангелистом современных технологий, живем то в 2026 году все-таки 🔥 Поэтому я решил глубоко разобраться в вопросе и сдела

😁51👍1👏1🔥1

2 Jul 2026, 12:30 UTC≈1,120 views17 reactionsread 9 August 2026
Photo

Рафт - победитель Yandex B2B Tech Awards 🏆 Номинация «Лучший кейс в медицине и фармацевтике» Если раньше слова про анализ в медицине рождали образы, плотно ассоциирующиеся с баночками и коробочками, то с появлением GenAI картина образов существенно расширилась 🤖 👍 Команда Raft разработала на базе Yandex AI Studio и RAG AI-аналитика медицинских карт для сети федеральных клиник: 👍 теперь проверка одной карты занимае

🔥17

28 Jun 2026, 05:17 UTC164 views8 reactionsread 9 August 2026
Photo

⛽️ ИИ обучили генерировать топливо на заправках "Пока работает в тестовом режиме и только для генерации цен на заправочных баннерах и психологических рекомендаций" - докладывают представители профильных ведомств. В НИИ of ИИ им.Сечинова утверждают, что уже на подходе 92! 🙂Иркутская область, как регион активной нефтедобычи, очевидно не так сильно ощущает кризис: - кооперируемся семьями и пересаживаемся на УАЗики

💩7🔥1

26 Jun 2026, 12:20 UTC480 views9 reactionsread 9 August 2026
Photo

На прошлой неделе очень динамично прошли GenAI Акселераторы в Улан-Удэ и Чите – жарко было на улице, но еще жарче было в зале 😎 Обсудили безумное число “болей” бизнеса и, что главное, решений для них со стороны ИИ. 🟢 Ожидаемо для нас одним из ключевых решений, вокруг которого выстроился основной интерес, был ИИ-аналитик над данными: https://cloud.ru/solutions/biznes-analitika-s-ii В ходе обработки гипотез раскрыва

🔥9

Showing the 12 most recent of 15 posts we hold for @aibobok. 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 — 170,513 of 1,169,250entries 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.

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

“Не ИИ мозги” (@aibobok), 91 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/aibobok.

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.