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Channel

Zavalishev | AI. Web3. Builds.

@zavalishevs

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

1,374subscribers

+1 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-1001675507870
TypeChannel
Username@zavalishevs
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 live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/zavalishevs

Growth

1,3731,3801,376.56 August 2026 — 1,373 subscribers6 August 2026 — 1,373 subscribers10 August 2026 — 1,380 subscribers13 August 2026 — 1,374 subscribers1,3746 August 202613 August 2026
4 measurements spanning 7 days, net +1. 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 1,372–1,381 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 14:361,374-6
10 Aug 2026, 05:381,380+7
6 Aug 2026, 18:011,373no change
6 Aug 2026, 17:491,373first reading

Engagement

20 posts held, back to 5 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.8%
avg views ÷ 1,374 subscribers
Avg views / post
355
12 posts measured
Reaction rate
4.29%
reactions ÷ views · ER floor
Posts in window
12
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 6 August 2026
Posts held20 (5 July 20266 August 2026)
Views total4,262
Reactions total183
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:01 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.

Reaction mix

378 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 43.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥16443.4%
👍10427.5%
9725.7%
82.12%
👏20.529%
😎20.529%
🤣10.265%

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 20 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 378reactions 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 5 July 2026 to 6 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
7
across the posts below
Posts paid on
6
of 20 we hold a reading for · 30%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zavalishevs. 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 20 most recent posts we hold for this entry, published 5 July 2026 to 6 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

6 Aug 2026, 06:52 UTC179 views16 reactionsread 6 August 2026
Photo

Друзья, привет из Калуги. Сегодня выступаю на VII Всероссийском форуме «Цифровая эволюция». Ключевая тема года — «Госуслуги. Новые вызовы». Моя тема: «От поиска услуги к пониманию намерения. Как искусственный интеллект меняет цифровое государство». О чём буду говорить. За последние годы госуслуги проделали огромный путь. То, что раньше означало очереди и папки с документами, сегодня решается с телефона за нескольк

🔥13👍21

5 Aug 2026, 15:19 UTC262 views23 reactionsread 6 August 2026

Скажу непопулярную вещь. Можно отлично владеть AI, знать все инструменты и промпты, но если у тебя нет системного и критического мышления, креативности, насмотренности и навыка решать задачи, ничего стоящего ты не построишь. AI усиливает то, что у тебя уже есть. Усиливать нечего, значит и результата не будет.

👍124🔥4👏21

4 Aug 2026, 09:03 UTC277 views6 reactions1 Starread 6 August 2026
Photo

Провожу интересный эксперимент. Запустил AI-агента в непрерывном рабочем цикле. Напомню, что во втором проекте у меня 17 агентов, которые помогают писать код. Обычно я ставлю им задачи, они выполняют, я проверяю. А тут решил попробовать иначе. Просто описал цель. Сказал: вот чего я хочу добиться, давай реализовывать. И запустил. Агент работает уже 24 часа без остановки. Ночью открыл окно посмотреть, что он там дел

3🔥3

4 Aug 2026, 06:10 UTC269 views6 reactionsread 6 August 2026

Доброе утро, друзья. На днях Андрей Карпаты (сооснователь OpenAI, бывший директор по AI в Tesla) написал пост, который набрал почти 4 миллиона просмотров. Смысл такой: когда лень набирать длинный контекст для модели, он переключается на голос и просто говорит десять минут подряд, потоком, без структуры. И модели отлично собирают из этого сумбура связный смысл, часто чище, чем то, с чего он начинал. Мне это знакомо.

🔥41👍1

3 Aug 2026, 06:06 UTC294 views12 reactionsread 6 August 2026

Доброе утро, друзья. С началом новой недели всех!!! Еду на работу и размышляю про эффективность и все сопутствующее. Задумался, а существует ли идеальный сотрудник? Ещё пол года назад я бы уверенно ответил, что да, и это мои AI-агенты. Ха-ха, наивный. Они же выполняют задачи, работают круглосуточно, не устают, не жалуются, не берут отпуск. Однако, агенты молодцы. Только за прошедшие выходные я с их помощью собрал

👍101🤣1

2 Aug 2026, 11:24 UTC286 views3 reactionsread 6 August 2026

https://t.me/zavalishevchat/2332 Нужно всегда идти от потребности и боли бизнеса, а не от продукта. Тогда получается что-то стоящее и полезное.

3

2 Aug 2026, 10:22 UTC275 views6 reactionsread 6 August 2026

"Прогресс моделей ИИ в ближайшие 6 месяцев будет сопоставим с развитием за последние два года" - Сэм Альтман (CEO OpenAI) Ну что, готовы? Очень прям жду, что нам представят топ-1 компании.

🔥6

1 Aug 2026, 14:32 UTC321 views19 reactionsread 6 August 2026
Photo

Друзья, приветствую. Сегодня утром ко мне обратился знакомый с интересной задачей. У него кофейни, и он хотел разобраться в собственной аналитике: где утекают деньги, что реально продаётся, как работает склад, где перерасходы по закупкам. Проблема знакомая многим владельцам общепита. Данные в iiko есть, а понимания процессов нет. Смотришь в отчёты и не видишь картины. Я предложил собрать ему собственный аналитичес

🔥13👍6

31 Jul 2026, 14:33 UTC353 views17 reactionsread 6 August 2026

Друзья, привет. Последняя неделя у меня была больше про бизнес-задачи, чем про кодинг. И знаете, что меня самого удивило? Кодинг AI понимает очень хорошо. Бизнес-задачи он решать не умеет. Разница огромная и вполне объяснимая. Для программирования у моделей огромная база обучения: миллионы репозиториев на GitHub, документация, туториалы, вопросы на StackOverflow. Референсов гигабайты, и модель хорошо понимает, как

🔥94👍4

26 Jul 2026, 17:40 UTC512 views40 reactionsread 6 August 2026

Друзья, доброго воскресного вечера. Я только что закончил большую мультиагентную систему. И, если честно, я в восторге. Только что посмотрел, как она работает. Система готовит аналитический отчёт по компании более чем на 1000 страниц. Такого объёма и глубины анализа я не видел даже у крупных консалтинговых компаний, где над отчётом трудятся десятки людей неделями. По цифрам получилось так: • 37 агентов внутри сис

🔥20👍173

19 Jul 2026, 19:30 UTC636 views16 reactions1 Starread 6 August 2026
Video

В AppStore уже новая версия Синапса AI. В Гугле - пока проверяют. Работа с маркетплейсами! Теперь Синапс видит товары с озона и вайлдберис: - можно скинуть ему ссылку и спросить про товар - найти аналоги - можно напрямую запросить поиск товара - можно примерить товар на себя!!!! Коротко - в видео!

🔥13👍3

18 Jul 2026, 11:29 UTC598 views19 reactionsread 6 August 2026
Photo

Друзья, всем отличных выходных. А знаете, именно сидя на этой скамейке я понял важную вещь. Я работаю над большой мультиагентной системой для объективного анализа компаний и определения системных рисков. И на этой неделе понял: проблема уже не в исполнении. Проблема в проектировании логики систем. Есть крутые модели. GPT 5 Sol, Fable 5. Ни одна из них за неделю проработки не смогла спроектировать мне систему целик

👍118

Showing the 12 most recent of 20 posts we hold for @zavalishevs. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 67,182 of 1,350,102entries 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.

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.

“Zavalishev | AI. Web3. Builds.” (@zavalishevs), 1,374 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/zavalishevs.

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.