Telegram RegisterThe public register of Telegram

Channel

The Art Of Programming

@taoplive

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

2,455subscribers

-5 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-1001354174226
TypeChannel
Username@taoplive
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/taoplive

Growth

2,4552,4602,457.56 August 2026 — 2,460 subscribers7 August 2026 — 2,460 subscribers10 August 2026 — 2,457 subscribers13 August 2026 — 2,455 subscribers6 August 202613 August 2026
4 measurements spanning 6 days, net -5. 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 2,454–2,461 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 04:352,455-2
10 Aug 2026, 14:022,457-3
7 Aug 2026, 17:052,460no change
6 Aug 2026, 20:452,460first reading

Engagement

20 posts held, back to 21 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.5%
avg views ÷ 2,455 subscribers
Avg views / post
453
20 posts measured
Reaction rate
0.944%
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 14 of 20 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 4 August 2026
Posts held20 (21 July 20264 August 2026)
Views total9,063
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:29 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.

Reaction mix

60 reactions across 13 posts, in 7 distinct kinds. The most used accounts for 36.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2236.7%
1830.0%
👍711.7%
👀58.33%
🤩58.33%
🎉23.33%
😁11.67%

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 14 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 60reactions 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 21 July 2026 to 4 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

4 Aug 2026, 06:18 UTC290 viewsread 7 August 2026

AI for All Project. Ну вот, Южная Корея определилась со своим подходом к суверенным моделям и как будет все работать ближайшие пару лет в стране. Официальный пресс-релиз Ministry of Science and ICT. Поставлена задача, чтобы у всех 52 миллионов жителей появился бесплатный и неограниченный доступ к единому ИИ-сервису. По задумке властей, это станет шагом к тому, чтобы технологии искусственного интеллекта стали такой

3 Aug 2026, 18:04 UTC288 views1 reactionsread 7 August 2026
Photo

Сеть как продукт. В этот раз, пока я был на съемках. А 315-й эпизод подкаста «Разбор полетов» Алексей записал вместе с Константином Крамлихом. Все про сеть и как к ней подходить как к продукту. Слушать подкаст на Яндекс.Музыке. Читать Полезняшки от «Разбора Полетов». #подкаст #debriefing

🔥1

3 Aug 2026, 13:40 UTC313 viewsread 7 August 2026

Agent Host Protocol. Не очень давно, хотя по меркам AI все, что дальше чем неделя, это уже древность, Microsoft опубликовала спецификацию Agent Host Protocol. И главная цель протокола — упростить масштабирование агентных систем в корпоративных средах и снизить зависимость от проприетарных платформ. Смотрю на Microsoft и понимаю, что звучит это как пчелы против меда. Заявляется, что протокол предназначен для унифика

1 Aug 2026, 08:37 UTC362 views3 reactionsread 7 August 2026

Начинать надо вовремя. Когда вы ведете мероприятие, читаете лекцию или ведете тренинг, нельзя забывать о том, как люди входят в ваше «вещательное» пространство. Вот, например, вы не замечали, как начинается большинство качественных лекций, докладов и тренингов? Правильно, вас немного социализируют. Дают возможность присесть. Поскрутить головой. Подвигать руками (когда задают вопросы). Когда я готовлю докладчиков, ч

2🔥1

31 Jul 2026, 15:38 UTC376 views4 reactionsread 7 August 2026

Why Japanese companies do so many different things. У каждого, наверно, в браузере множество вкладочек открытых и непрочитанных. Вот одна из моих, до которой я добрался. Статью написал David Oks. Набрел на нее, когда искал информацию про компанию Toto. Не совсем с изложенным согласен, но было приятно погрузиться в чтение: David Oks — Why Japanese companies do so many different things. Заинтересовали меня высказыва

4

31 Jul 2026, 06:07 UTC409 views10 reactionsread 7 August 2026
Photo

День сисадмина! Поздравляю всех причастных! Сам сегодня отдохну, а вам желаю чтобы серверы не падали, бэкапы всегда оказываются актуальными, а пользователи писали в поддержку только с благодарностями (не бывает такого конечно, но пожелать этого мне никто не запретит). Стабильности, крутых задач и минимум авралов!

🔥82

29 Jul 2026, 14:11 UTC700 views8 reactionsread 7 August 2026
Photo

Яндекс запускает программу 75/75/75 для ускорения разработки с помощью AI. Ну вот теперь официально. Использование искусственного интеллекта должно стать новым стандартом разработки в инженерных командах. Цель: К концу 2026 года регулярно применять AI при написании кода будут не менее 75% разработчиков. На уровне всей компании AI будет участвовать в подготовке не менее 75% изменений, а в каждом таком изменении — ге

👀52👍1

29 Jul 2026, 12:46 UTC411 views4 reactionsread 7 August 2026
Photo

Книги! Книги! Книги! Настало время книжного шопинга, сейчас самое время. А что за повод? У одного из лучших в ИТ-деле издательства — «Питер» — 35-летие! Есть специальные цены: 🛍 Вб | 🛍 Озон P. S. Налетай-покупай, говорят, осенью ожидается повышение цен... Звучит слегка по-цыгански.

🔥3😁1

28 Jul 2026, 22:49 UTC399 views1 reactionsread 7 August 2026
Photo

А у вас есть еще бумажные книги? Любите ли вы книги, как любим их мы? Ну что, мы идем к вам! В старых книгах нет мусорных AI-текстов, тогда их можно купить, отсканировать, уничтожить и впоследствии «типа легально» использовать эту библиотеку для обучения новых версий моделей. Оригинальный материальчик можно почитать тут: Emanuel Maiberg — AI Companies Are Buying Tons of Old Books Because They're Free of AI Slop

1

28 Jul 2026, 05:50 UTC419 views6 reactionsread 7 August 2026
Photo

Путь героя. Сегодня вечером будет открытая лекция «Я как продукт и я как герой: как системно строить репутацию эксперта». Наташа Губарева, Head of Research & Development в HR-маркетинге Яндекса, и Саша Ложечкин, CIO «Райффайзенбанка» и соавтор подкаста «Бреслав и Ложечкин», в две каски будут качать тему, которая мне близка, говорить будут о том: 🔵Как системно подходить к развитию профессиональной репутации 🔵Зачем

👍4🔥2

27 Jul 2026, 08:13 UTC403 views4 reactionsread 7 August 2026

От ручного анализа к ИИ: как развивается проект мониторинга планктона Байкала. Ребята написали апдейт о совместной 4-х летней работе. Как разработали нейросеть для автоматического анализа проб. За четыре года система обработала свыше 250 тыс. изображений проб — и точность распознавания достигла 87%.

3👍1

26 Jul 2026, 13:19 UTC430 views3 reactionsread 7 August 2026
Photo

Давай придумаем шутку.

🤩3

Showing the 12 most recent of 20 posts we hold for @taoplive. 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 — 375,839 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.

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

“The Art Of Programming” (@taoplive), 2,455 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/taoplive.

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.