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Channel

Архитектура Стартапа - Anton Skogorev Engineering & AI

@startup_architecture

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

2,500subscribers

+35 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001157918474
TypeChannel
Username@startup_architecture
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/startup_architecture

Growth

2,4652,5002,482.57 August 2026 — 2,465 subscribers8 August 2026 — 2,465 subscribers10 August 2026 — 2,500 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net +35. 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 2,460–2,505 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 23:532,500+35
8 Aug 2026, 02:402,465no change
7 Aug 2026, 16:472,465first reading

Engagement

19 posts held, back to 29 August 2025the 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
31.2%
avg views ÷ 2,500 subscribers
Avg views / post
781
1 post measured
Reaction rate
2.05%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 3 August 2026
Posts held19 (29 August 20253 August 2026)
Views total781
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:47 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

457 reactions across 19 posts, in 12 distinct kinds. The most used accounts for 51.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍23351.0%
🔥11825.8%
4610.1%
💩214.60%
😁163.50%
👎91.97%
💯61.31%
👏20.438%
🤔20.438%
🤷‍♂20.438%
😭10.219%
😱10.219%

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 19 of the 19 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 457reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 29 August 2025 to 3 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
4
across the posts below
Posts paid on
4
of 19 we hold a reading for · 21%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @startup_architecture. 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 19 most recent posts we hold for this entry, published 29 August 2025 to 3 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

3 Aug 2026, 15:17 UTC781 views16 reactions1 Starread 7 August 2026
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8-го августа в Коломенском парке расскажу о том из каких блоков может состоять GenAI платформа в компании и нужно ли ее вообще строить. Приходите подискутировать на ИТ-Пикник!

🔥10👍42

Signed Anton Skogorev

1 Apr 2026, 07:35 UTC≈2,190 views15 reactionsread 7 August 2026
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Пока мы обсуждаем как защититься от Prompt Injection и Supply Chain уязвимостей, Github Copilot добавляет рекламу прямо в PR. https://notes.zachmanson.com/copilot-edited-an-ad-into-my-pr/ Представляете будущее, где ваш агент выбирает стек не по техническим характеристикам, а по размеру маркетингового бюджета вендора? ChatGPT, кстати, тоже внедряет рекламу. У них есть очень хорошая страница с принципами, очень реком

😁8👍5🔥2

Signed Anton Skogorev

26 Mar 2026, 07:31 UTC≈2,390 views33 reactionsread 7 August 2026
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Замена Google на 50 строк Python Пока все раскупают macmini для openclaw, не смог пройти мимо статьи с максимально простой идеей: автор устал каждый раз гуглить мелкие shell-команды вроде tar -xzf и сделал мини-CLI на Python, который принимает запрос на русском, отправляет его в LLM и возвращает одну bash-команду с обязательным подтверждением перед выполнением. Мастхэв, если вы как и я забываете, какие там параметр

🔥27💩41😁1

Signed Anton Skogorev

25 Mar 2026, 08:56 UTC≈1,870 views16 reactionsread 7 August 2026
Forwarded from @vikulin_ai

Друзья, опубликовал подробный гайд по архитектуре AI-агентов. В нем собрал: - из каких компонентов состоит агент и как они друг с другом взаимодействуют - какие бывают типы оркестрации у агентов - как правильно собирать контекстное окно - какие есть угрозы безопасности и как с ними боротся - и много чего еще другого Если останутся вопросы, как вам собирать надежных AI-агентов, напишите в комментариях или в личных с

👍124

Signed Anton Skogorev

23 Mar 2026, 07:28 UTC≈1,920 views14 reactions1 Starread 7 August 2026

Хакатон по LLM-агентам в СПБ. 11 апреля в нашем офисе в Питере на Свердловской набережной проводим крутейший хакатон по созданию LLM-агентов. Можно будет собрать агента на платформе BitGN, понетворкаться с единомышленниками и даже забрать призы за лучшие решения. по ссылке больше инфы: https://bitgn.tb.ru/spb_bitgn_pac1

👍11👎2🔥1

Signed Anton Skogorev

25 Feb 2026, 07:59 UTC≈2,310 views61 reactionsread 7 August 2026
Forwarded from @c3po_notes

Сегодня специфичный пост для инженеров. Много юзаю Claude Code в последнее время и не отпускает одна мысль. В своё инженерное прошлое я всегда угорал по «лучшим практикам» — SOLID, TDD, Clean Architecture, DDD, property-based testing и тд. Большинство команд их игнорировали: сложно, долго, вэлью непонятно. И аргумент про сложность был честным — поддерживать чистую архитектуру и писать тесты до кода реально дорого по

👍437👎4💩3💯2🔥1😭1

Signed Anton Skogorev

17 Feb 2026, 13:10 UTC≈8,900 views26 reactions1 Starread 7 August 2026
Photo

AI Workspace ТБанк. Прошлый опыт поиска кандидата через телеграм на сверхамбициозную задачу — строить LLM-платформу — завершился оффером. Попытаю счастье ещё раз. В Т-Банке, вдумайтесь, работают десятки тысяч сотрудников. Это огромный рынок для поиска эффективностей. С приходом больших языковых моделей и агентских сценариев мало кто думает, что то, как строятся компании сейчас, будет выглядеть так же в ближайшие 5

👍21🤔2😁21

Signed Anton Skogorev

9 Feb 2026, 08:04 UTC≈2,960 views33 reactionsread 7 August 2026

AI-ассистент может замедлять рост инженеров — даже если ускоряет delivery. https://www.anthropic.com/research/AI-assistance-coding-skills Anthropic выпустили исследование: 52 разработчика начального уровня решали задачи с AI и без него. Плохие новости: — Скорость — почти без статистически значимого выигрыша. — Понимание того, что ты только что сделал — заметно хуже (~−17%). — Сильнее всего проседает debugging: умен

👍227👏2💩1😁1

Signed Anton Skogorev

28 Jan 2026, 13:21 UTC≈3,430 views33 reactionsread 7 August 2026
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VS Code + Codex (gpt-5.2) + AI Native Project Workspace Недавно меня спросили, как я реально использую LLM в работе. И пока все пробуют очередного хайпового агента clawdbot, расскажу, как выглядит моя хардкорная рабочая среда для ведения менеджерских задач. Я сильно проникся идеей Context Engineering — и меня сильно бесит, как ChatGPT любит вытаскивать случайные факты из наших переписок и применять их в максимально

👍21🔥72💩2😱1

Signed Anton Skogorev

17 Dec 2025, 14:53 UTC≈3,520 views30 reactionsread 7 August 2026
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Принёс вам новый термин — AI Agent Washing. Услышал его вчера в офисе, а вечером уже обсуждали на панельной дискуссии с уважаемыми людьми — чем всё это грозит AI-индустрии. … Если коротко: Agent Washing — это когда вы говорите, что делаете AI-агента, хотя по факту это простой чат-бот, или автоматизация, или один промпт с tool calling. Но обо всём по порядку. Термин пошёл от greenwashing — это когда в отелях нас пр

👍177💩4👎1😁1

Signed Anton Skogorev

12 Dec 2025, 09:08 UTC≈2,210 views20 reactionsread 7 August 2026
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C-Connect от Яндекса. Сходил на CTO/CPO Connect — камерный эвент от Яндекса для C-level руководителей. Главная тема — AI. Было несколько действительно интересных рассказов. — Physical AI (роверы, грузовики, роботакси). Интересно было посмотреть на архитектуру AI-решений из реального мира. Любопытно, что там под капотом чаще используются такие же трансформеры, как и в ChatGPT. Генерировать следующий токен — популяр

👍20

Signed Anton Skogorev

10 Dec 2025, 09:11 UTC≈1,970 views40 reactions1 Starread 7 August 2026
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Немного бэкстейджа про канал. Пошёл я тут на профи.ру, нашёл специалиста по продвижению канала. Показал статистику: посты читают хорошо — 2к+ (иногда залетают на 10к), хорошо шарят (последний пост — 46 репостов). Но подписчики почти не растут: с каждого поста приходит 5–10 человек. При том что каждый текст занимает у меня много времени и сил — и это, мягко говоря, демотивирует. И вот пришёл специалист и говорит: «

🔥25👍8💯4😁21

Signed Anton Skogorev

Showing the 12 most recent of 19 posts we hold for @startup_architecture. 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 — 853,841 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Архитектура Стартапа - Anton Skogorev Engineering & AI” (@startup_architecture), 2,500 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/startup_architecture.

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.