Telegram RegisterThe public register of Telegram

Channel

КайфКодинг

@VibeCodingArtem

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

923subscribers

+0 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-1002651145237
TypeChannel
Username@VibeCodingArtem
DescriptionВайбКодинг с Артемом Кругловым, выпускник МФТИ, AI-гуру и основатель AnyQuery. Быстрые лайфхаки: короткие видео с приёмами и трюками
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 August 2026
Measurements held2
On Telegramt.me/VibeCodingArtem

Growth

9236 Aug 2026, 18:05 — 923 subscribers6 Aug 2026, 18:15 — 923 subscribers6 Aug 2026, 18:056 Aug 2026, 18:15
2 measurements taken within a single day. 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 922–924 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 18:15923no change
6 Aug 2026, 18:05923first reading

Engagement

18 posts held, back to 2 August 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
27.3%
avg views ÷ 923 subscribers
Avg views / post
252
18 posts measured
Reaction rate
1.70%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 held18 (2 August 20266 August 2026)
Views total4,535
Reactions total77
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:15 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

Photos
254
Videos
92
Links
370

Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

77 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 28.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2228.6%
👍1823.4%
🔥1722.1%
😁810.4%
🙏45.19%
🥱33.90%
👎22.60%
💩11.30%
🤡11.30%
🤮11.30%

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 18 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 77reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 2 August 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.

Recent posts

6 Aug 2026, 06:17 UTC119 views1 reactionsread 6 August 2026

https://www.lennysnewsletter.com/p/this-cpo-regrets-that-product-management

💩1

6 Aug 2026, 05:54 UTC124 views4 reactionsread 6 August 2026

У Тома Веррилли 20 продакт-менеджеров на 1200 с лишним человек. Он CPO Whatnot, до этого был CPO Twitch. В Twitch и eBay продактов было бы в 5-10 раз больше. Откуда разница, он объясняет просто. Роль разрослась сама собой: наняли инженерного менеджера — взяли продакта к нему. За четыре ковидных года индустрия набрала 500 000 инженеров и 80 000 продактов под них. Что из этого вышло, он говорит жёстко. Младший прода

2👍2

6 Aug 2026, 05:48 UTC504 views1 reactionsread 6 August 2026

Ваш выверенный промпт двухлетней давности — это набор костылей под ограничения, которых уже нет. В Claude Code 2.1.221 появилась подкоманда prompt-audit: ищет в промптах и описаниях инструментов паттерны, написанные под старые модели. Вывод тут не про фичу. Вендор не делает отдельный инструмент под редкую проблему. Раз понадобился линтер для промптов — значит, промпты гниют массово, и с той стороны это видно по стат

🔥1

6 Aug 2026, 05:11 UTC136 views2 reactionsread 6 August 2026
Photo

«Эксперимент на 25 тысяч долларов» стоил примерно сто. Команда Puter скомпилировала Firefox целиком в WebAssembly: движок Gecko, весь интерфейс и JS-движок Spidermonkey рендерятся в канвасе внутри другого браузера. В анонсе на Hacker News автор написал, что порт обошёлся больше чем в 25 тысяч в токенах Opus и Fable. Полтреда ушло на спор, при каких деньгах эксперимент перестаёт быть развлечением. Ниже в том же тре

👎2

5 Aug 2026, 22:14 UTC169 views3 reactionsread 6 August 2026

Самая большая экономия сейчас не в выборе модели, а в том, чтобы перестать звать дорогую на всё подряд. Microsoft выкатила MAI-Cyber-1-Flash — компактную специализированную модель для поиска уязвимостей — и встроила её в свой пайплайн MDASH. Интересна не модель, а структура. Маленькая модель забирает до 90% задач безопасности. Флагман остаётся на оставшиеся 10%, где нужна голова. Итог: 95,95% на бенчмарке CyberGym

1👍1🔥1

5 Aug 2026, 19:13 UTC212 views6 reactionsread 6 August 2026

Я имбу сделал. Никому не скажу. Дайте контакт Дарио

😁5🤡1

5 Aug 2026, 09:25 UTC213 views6 reactionsread 6 August 2026
Forwarded from @cryptoEssayPhoto

Прочитал пару пейперов о влиянии ИИ на рынок труда, пока наблюдается такая картина: 1. Примерно 20% компаний активно внедреняет ИИ в процессы, это приводит к росту бизнеса 2. У этих 20% в 5 раз быстрее растет размер штата и на 15% быстрее растут средние зарплаты. 3. Эти компании активнее нанимают людей без опыта, НО только самых топовых 4. В остальных компаниях (США) не наблюдается резкого сокращения рабочих места и

🔥4👍2

4 Aug 2026, 10:35 UTC216 views3 reactionsread 6 August 2026

Пять запретов из математики Нестерова Писал про премию Гаусса и человека, у которого я учился оптимизации. Обещанное продолжение — что из его математики следует для управления. Не советы — из настоящих теорем следуют запреты, они полезнее. 1. Не требуй, чтобы каждый шаг был лучше предыдущего. У Нестерова доказана неожиданная вещь: самый быстрый путь к цели обязательно проходит через участки, где становится хуже. Ме

🔥3

4 Aug 2026, 10:06 UTC221 views14 reactionsread 6 August 2026

Человеку, у которого я учился оптимизации, дали премию Гаусса На конгрессе математиков в Филадельфии Юрию Нестерову вручили Carl Friedrich Gauss Prize — высшую награду в прикладной математике. Он всего шестой лауреат в истории. Формулировка комитета простая: его работы стали «алгоритмическим каркасом» всех вычислительных и data-driven областей. Что он сделал. В 1983 году, ручкой на бумаге, в «Докладах АН СССР» он о

12🔥2

4 Aug 2026, 06:51 UTC238 views9 reactionsread 6 August 2026
Photo

Привет! Я хочу сделать омлет с томатами. У меня есть вкусный рецепт омлета со сметаной. Как-то добавить томаты? Если бы ты был мишленовским поваром, как бы ты сделал вкусный омлет для моей супруги?

🔥4🥱32

3 Aug 2026, 20:31 UTC248 views1 reactionsread 6 August 2026

Postgres rewritten in Rust, now passing 100% of the Postgres regression tests https://news.ycombinator.com/item?id=48841676 Hey author here. Wasn't expecting to see this up. To concisely give an overview of the project, I've been experimenting with using LLMs to build a better version of Postgres. Postgres is 30 years old and we've learned a lot about databases since hten. A lot of the techniques that work for doing

👍1

Showing the 12 most recent of 18 posts we hold for @VibeCodingArtem. 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 — 576,637 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.

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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

“КайфКодинг” (@VibeCodingArtem), 923 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/VibeCodingArtem.

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.