Telegram RegisterThe public register of Telegram
Telegram profile photo for ШІ історії

Channel

ШІ історії

@imatrofAI

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

10,953subscribers

+42 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002213626229
TypeChannel
Username@imatrofAI
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held18
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/imatrofAI

Growth

10,91110,95310,9327 August 2026 — 10,911 subscribers8 August 2026 — 10,915 subscribers10 August 2026 — 10,923 subscribers12 August 2026 — 10,928 subscribers13 August 2026 — 10,925 subscribers15 August 2026 — 10,920 subscribers16 August 2026 — 10,921 subscribers17 August 2026 — 10,914 subscribers18 August 2026 — 10,911 subscribers19 August 2026 — 10,916 subscribers20 August 2026 — 10,917 subscribers21 August 2026 — 10,933 subscribers24 August 2026 — 10,929 subscribers25 August 2026 — 10,932 subscribers26 August 2026 — 10,939 subscribers27 August 2026 — 10,943 subscribers28 August 2026 — 10,948 subscribers29 August 2026 — 10,953 subscribers7 August 202629 August 2026
18 measurements spanning 22 days, net +42. 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 10,905–10,959 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 19:5310,953+5
28 Aug 2026, 18:5410,948+5
27 Aug 2026, 19:4610,943+4
26 Aug 2026, 19:0210,939+7
25 Aug 2026, 17:5410,932+3
24 Aug 2026, 17:4310,929-4
21 Aug 2026, 12:4810,933+16
20 Aug 2026, 15:4310,917+1
19 Aug 2026, 14:5810,916+5
18 Aug 2026, 14:0510,911-3
17 Aug 2026, 16:5610,914-7
16 Aug 2026, 09:0710,921+1
15 Aug 2026, 00:0310,920-5
13 Aug 2026, 12:4810,925-3
12 Aug 2026, 15:2410,928+5
10 Aug 2026, 13:4210,923+8
8 Aug 2026, 14:4810,915+4
7 Aug 2026, 15:3210,911first reading

Engagement

58 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 38 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
41.4%
avg views ÷ 10,953 subscribers
Avg views / post
4,530
51 posts measured
Reaction rate
1.21%
reactions ÷ views · ER floor
Posts in window
51
of 58 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 29 August 2026
Posts held58 (28 July 202629 August 2026)
Views total231,230
Reactions total2,794
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 12:01 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
5m 01s
Average length
50s

Measured directly from 6 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

3,173 reactions across 58 posts, in 33 distinct kinds. The most used accounts for 32.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,04332.9%
75023.6%
🔥60819.2%
😁35111.1%
💩601.89%
🤡551.73%
🤯501.58%
🤔441.39%
🤓300.945%
👎240.756%
🥴190.599%
💯170.536%
👌160.504%
🥱140.441%
❤‍🔥120.378%
👀120.378%
🌚100.315%
🤮100.315%
🙏70.221%
🙈50.158%
13 further kinds361.13%

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 58 of the 58 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 3,173reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 58 most recent posts we hold, published 28 July 2026 to 29 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.

Telegram Stars

Stars received
8
across the posts below
Posts paid on
2
of 58 we hold a reading for · 3%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @imatrofAI. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 58 most recent posts we hold for this entry, published 28 July 2026 to 29 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

29 Aug 2026, 10:06 UTC≈1,730 views39 reactionsread 29 August 2026
Photo

Gemini Notebook поступово перетворюється на справжню базу знань навколо вашої екосистеми Google. Тепер у Notebook можна додавати книги, які ви придбали в Google Play Books і комбінувати знання з книг зі своїми файлами та іншими джерелами. На старті доступно понад 100 000 книг від великих видавництв, включно з O’Reilly, Penguin Random House та Macmillan. Але книги тут лише початок. Google вже говорить, що далі в N

🔥305❤‍🔥3🥱1

28 Aug 2026, 09:35 UTC≈3,160 views46 reactionsread 29 August 2026

Показую покроковий метод дослідження в Gemini Notebook. Як перетворити гору джерел на матрицю доказів і чому фінальний висновок не варто просити у першому ж промпті. Повний гайд з усіма інструкціями я вже виклав у групі ШІ Історії Майстерня

29🔥8💩3👍2😁2❤‍🔥1💯1

28 Aug 2026, 06:05 UTC≈3,170 views26 reactionsread 29 August 2026
Photo

Чим більше в команди інструментів для моніторингу, тим довше вона шукає причину падіння прода. Логи в одному місці, метрики в іншому, трейси десь ще — і замість системного розслідування виходить лотерея. Мої партнери з Fwdays Academy якраз підготували Crash Course: AI-native Observability. Де показують, як зібрати Logs, Metrics, Error Tracking і Distributed Tracing в одну систему і знаходити Root Cause за хвилини, а

🤮108💩5🤡1🥱1😴1

27 Aug 2026, 12:42 UTC≈3,570 views59 reactionsread 29 August 2026
Photo

Оце так новина: Nvidia, за даними The Information, домовляється купити Hugging Face за $12,9 млрд 🤯 Hugging Face — це фактично одна з центральних точок відкритого AI. І якщо Nvidia забирає її собі, то отримує величезний вплив вже не лише на залізо. Якщо OpenAI, Google, Anthropic та hyperscalers дедалі більше йтимуть у власні чипи, то NVIDIA потрібно максимально посадити весь open-source AI на свою інфраструктуру.

🤯36🤔96🤬4🔥2🥱2

27 Aug 2026, 09:02 UTC≈3,570 views36 reactionsread 29 August 2026

Маю гарну новину для нашої спільноти. DOU надає один безкоштовний квиточок на Picnic. Тому ставте плюсик та коментуйте, в описі під цим дописом. А я завтра рандомно оберу підписника, який зможе відвідати подію. #донат

29💩4👎3

27 Aug 2026, 07:07 UTC≈3,660 views47 reactionsread 29 August 2026
Video

Я стежу за AI-відео з моменту, коли це були кумедні експерименти з трьома руками та мамонтами які біжать пустелею. За два роки відео продакшен індустрія пройшла величезний шлях, де AI став невідʼємною частиною процесу. Хтось може далі махати руками та відпихатись, але реальність вона говорить сама за себе. Два роки тому, коли всі ще бавилися пластиковими AI картинками і руками на шість пальців, одна команда вирішили

25👍12💩5👎2🥱2🤔1

26 Aug 2026, 17:56 UTC≈3,790 views30 reactionsread 29 August 2026
Photo

Сьогодні багато оновлень. Загадкова Ox Alpha таки виявилася GLM-5.3 Flash. GLM-5.3-Flash розширює межу парето в Artificial Analysis Intelligence Index, набираючи 57 балів за ціни всього $0.045 за завдання (трохи дорожче буде без знижки) — рівень інтелекту, який раніше був доступний лише приблизно за 10× вищої вартості. Це робить її дуже конкурентним вибором для широкого спектра завдань. За самої базової підписки $

13🤔8🔥4👍3❤‍🔥1🥱1

26 Aug 2026, 16:15 UTC≈3,850 views54 reactionsread 29 August 2026
Photo

Я трохи в шоці. Звідки вони ці цифри беруть? Фінансисти відверто кажуть, що оцінки в $28–30 трильйонів виходять за межі здорового глузду. Для порівняння усі 191 технологічна компанія з індексу S&P 1500 (включно з Apple, Microsoft та Nvidia) разом за минулий рік згенерували лише $2,4 трильйона реального доходу. TAM Anthropic або SpaceX у $30 трлн перевищує річний ВВП США. ші історії | 🔒 ші історії. майстерня

😁437👍2❤‍🔥1🤔1

26 Aug 2026, 13:25 UTC≈3,900 views17 reactionsread 29 August 2026
Photo

А ви знали, скільки токенів за секунду сьогодні генерують ChatGPT, Claude і Gemini? Для всіх, хто хотів побачити, як виглядає Тібо — це той, хто тисне кнопку і резетує всі ліміти у Кодексі, — маєте нагоду подивитись інтерв’ю з ним. ші історії | 🔒 ші історії. майстерня

15👍2

26 Aug 2026, 10:56 UTC≈4,350 views144 reactionsread 29 August 2026
Photo

У Сільпо завезли власний MCP. Приклади запитів: ✅ «Додай у кошик 2 літри молока, буханець хліба і десяток яєць» ✅ «Покажи мої останні 5 замовлень» ✅ «Які акції доступні на мою адресу доставки?» ✅ «Застосуй мої балабонуси до поточного кошика» ✅ «Знайди заміну товару, якого немає в наявності» ші історії | 🔒 ші історії. майстерня

🔥99😁24👍7🤡4🙈42🤯2🥰2

26 Aug 2026, 06:40 UTC≈4,220 views20 reactionsread 29 August 2026
Photo

🚀 Третього жовтня у Києві мої партнери з Fwdays проводять Tech Summit, де зібрали AI & Agentic Engineering, Software Architecture, Frontend / JavaScript та Tech Leadership в один день. З AI тем особливо цікаво виглядають production-досвід з агентами від Олега Цаль-Цалька з EPAM, agentic-фабрики від Вʼячеслава Колдовського та кейс Сільпо про покупки через ChatGPT і MCP. Плюс буде багато про архітектуру, масштабування

🔥12💩43❤‍🔥1

25 Aug 2026, 12:22 UTC≈4,070 views43 reactionsread 29 August 2026
Photo

Тут цікавий обмін думками на тему агентивного програмування. Якщо ШІ вирішив питання програмування то якого з двох? Тактичне програмування — це практичні, повсякденні аспекти написання коду. Стратегічне програмування — це довгострокове мислення. Це про якість кодової бази, архітектурний дизайн і ухвалення правильних рішень. Сьогодні ШІ значною мірою вже поглинув тактичне програмування. Але як на мене, дуже мало ч

28👍13🤡2

Showing the 12 most recent of 58 posts we hold for @imatrofAI. 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.

Posts edited after publishing

@imatrofAI edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
17 August 2026
Most recent edit
17 August 2026

Citation-graph rank

Citation-graph rank — 650,732 of 1,626,935entries 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

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 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.

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

“ШІ історії” (@imatrofAI), 10,953 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/imatrofAI.

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.