Telegram RegisterThe public register of Telegram
Telegram profile photo for Chernov sharit

Channel

Chernov sharit

@chernov_sharit

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

693subscribers

+1 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-1001136665385
TypeChannel
Username@chernov_sharit
CreatedBetween 1 May 2017 and 31 July 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held2
Confirmed unchanged2 times, most recently 15 August 2026
On Telegramt.me/chernov_sharit

Growth

692693692.56 Aug 2026, 20:47 — 692 subscribers7 Aug 2026, 19:36 — 693 subscribers6 Aug 2026, 20:477 Aug 2026, 19:36
2 measurements taken within a single day, 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 692–693 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 19:36693+1
6 Aug 2026, 20:47692first reading

Engagement

19 posts held, back to 16 October 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 24 June 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

158 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 33.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5333.5%
🔥4427.8%
👍4125.9%
💩63.80%
❤‍🔥31.90%
👏21.27%
😁21.27%
🤔21.27%
👀10.633%
💊10.633%
😭10.633%
🤝10.633%
🤣10.633%

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 18 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 158reactions 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 16 October 2025 to 24 June 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
12
across the posts below
Posts paid on
2
of 19 we hold a reading for · 11%
Most on one post
11
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @chernov_sharit. 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 16 October 2025 to 24 June 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

24 Jun 2026, 13:19 UTC404 views1 reactionsread 6 August 2026

Мне тут друг подсказали, что можно попросить придумать название для канала. Напиши ваши варианты в комментарии, а завтра может будет стандартно серьёзный пост.

🔥1

2 Jun 2026, 14:39 UTC743 views12 reactionsread 6 August 2026

Ладно, пока суть до дело про больше писать. С друзьями где можно уже поделился, но лучший мой контент за последнее время - это заметка про вкусы: https://chernov.wiki/forge/20260506103149 enjoy

🔥7👍32

30 May 2026, 10:41 UTC945 views23 reactions11 Starsread 6 August 2026

Впервые за долгое время у меня случилось продолжительное обучение. Не вот эти вот курсы на выходные или онлайн-занятие. А полноценное зубодробительное нечто, которое я откладывал с 2022 года, под названием "Школа системного менеджмента". Учился я там не один, а вместе с Олей, которая взяла и вытащила меня рассказать об этом сейчас на CODEFEST '16. Я думаю, что это в отместку за запись подкаста в офлайне. В рамках эт

12👍7🔥3😁1

26 Mar 2026, 13:47 UTC971 views15 reactionsread 6 August 2026

Исследования баз данных У меня есть безумное желание знать всё. Не уметь, не делать, но знать точно. И вот одно из них связано с исследованием баз. На работе чаще всего проповедую подход boring technology, а вот в homelab можно оторваться. И даже когда что-то делаешь, всё равно потом отказываешься в пользу PostgreSQL или SQLite или ClickHouse. Такой вот швейцарский нож, который зарекомендовал себя на все случаи жизн

11🔥4

10 Mar 2026, 10:55 UTC903 views23 reactionsread 6 August 2026
Forwarded from @smestavcareerPhoto

Путь до CTO и обратно А у меня тут кое-что новое — первый подкаст, который мы записали в студии. Всем сердцем люблю, когда меня аккуратно выталкивают из зоны комфорта: позвала Ваню в подкаст, а он предложил сделать это очно, в студии. "А почему бы и не да?" — подумала я В гостях — Иван Чернов: успел побывать CTO, потом осознанно вернулся в разработку, сейчас системный архитектор в Островок! и автор телеграм-канала

👍15🔥43👀1

10 Mar 2026, 10:54 UTC595 views3 reactionsread 6 August 2026

Ничего не пишу, потому что по подкастам хожу. Вот держите первый и второй.

1👍1😁1

10 Mar 2026, 10:54 UTC655 views11 reactionsread 6 August 2026
Forwarded from @tfeatPhoto

62. AI в Энтерпрайзе. Генерировать код с нуля может каждый, а внедрить ИИ в настоящий большой проект — получается не у всех. Обсуждаем AI-инструменты для кодинга, внедрение AI-ассистентов в энтерпрайзе и практическое использование Claude Code и аналогов в продакшене. Реальные кейсы, анализ затрат, безопасность данных и трансформация процессов разработки через AI-агентов. В гостях Иван Чернов https://t.me/chernov\_s

🔥73👍1

7 Feb 2026, 08:48 UTC946 views6 reactions1 Starread 6 August 2026

### Disposable software Мне тут понравился термин Karpathy о коде на выброс / disposable software. А ещё, конечно, чем больше читаешь каналов типа "LLM под капотом", тем больше думаешь, что и не надо, наверное, думать о том, что за код там, если он проходит golden dataset. Так что теперь не надо делать proof of concept или MVP. За вас возьмут и сделают их 10, 20, 50 — вопрос только в бюджете на эти эксперименты. Как

👍42

31 Jan 2026, 08:48 UTC897 views4 reactionsread 6 August 2026

### ClaudeBox Честно, это снова скопированный подход из статьи: https://blog.emilburzo.com/2026/01/running-claude-code-dangerously-safely/. А ещё если дальше залезать, то это следствие увеличение времени автономной работы агентов через разные подходы: как улучшение моделей, так и улучшение самих подходов. Одно из них - это преобразование claude code в общего агента-оркестратора и выпуск SKILLs, как более адекватной

❤‍🔥3👍1

24 Jan 2026, 08:25 UTC924 views8 reactionsread 6 August 2026

С трёх разных источников пришла статья: https://openai.com/index/scaling-postgresql/ И так как пока свои мысли не пишутся (пишутся, но не в канал), то переключимся в link блог и разберём статьи. Мысль примерно такая: это статья одновременно и успех Postgresql, Azure и инвесторов, и провал openAI. Что нам говорят про постгрес: - поставьте pgBouncer - оптимизируйте запросы - снимайте запросы с мастера на реплики - р

🔥4👍31

28 Nov 2025, 09:45 UTC≈1,010 views10 reactionsread 6 August 2026

Очередной advent of code Уже через три дня начнётся очередной Advent of Code. Если вы не знаете, что это — такой ежедневный новогодний календарь, где каждый день даётся паззл для разработчиков. Главное отличие от leetcode / codewars / you name it в том, что тебе надо решить задачу ровно один раз — для предоставленных тебе тестовых данных. А там дальше как хотите, так и решайте: через Excel, с помощью редактора уровн

8👏1🤝1

Showing the 12 most recent of 19 posts we hold for @chernov_sharit. 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 — 1,150,783 of 1,480,944entries 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 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 7 August 2026 — this entry's latest reading, not the date you are reading this.

“Chernov sharit” (@chernov_sharit), 693 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/chernov_sharit.

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.