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Channel

OpenKirill: AI Coding и другие приколы

@openkirill

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

103subscribers

+4 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003813192443
TypeChannel
Username@openkirill
CreatedBetween 1 February 2026 and 4 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live12 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/openkirill

Growth

9910310111 Aug 2026, 09:18 — 99 subscribers12 Aug 2026, 07:25 — 103 subscribers11 Aug 2026, 09:1812 Aug 2026, 07:25
2 measurements taken within a single day, net +4. 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 98–104 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 07:25103+4
11 Aug 2026, 09:1899first reading

Engagement

20 posts held, back to 4 May 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
94.2%
avg views ÷ 103 subscribers
Avg views / post
97.0
4 posts measured
Reaction rate
14.9%
reactions ÷ views · ER floor
Posts in window
4
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 10 August 2026
Posts held20 (4 May 202610 August 2026)
Views total388
Reactions total58
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 09:18 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

Video runtime
41s
Average length
41s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

232 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 23.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 52966653643467275845423.3%
custom 52402809821452120873314.2%
custom 53526931225287249862912.5%
custom 52401759143602507712812.1%
custom 52357141906640167752711.6%
custom 5240052906496893163239.91%
custom 6008340590595411974229.48%
custom 5330200627907681085166.90%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 232reactions 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 4 May 2026 to 10 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
3
of 20 we hold a reading for · 15%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @openkirill. 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 4 May 2026 to 10 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

10 Aug 2026, 16:01 UTC58 views20 reactionsread 11 August 2026

TellKin — все! (почти) Пару месяцев назад я писал о публичном релизе нашего первого крупного проекта в этом году — TellKin. Семейного биографа, который, послушав ваши истории с легкой помощью магии ИИ, может построить семейное древо и сформировать карточки историй, которыми можно поделиться с родственниками. Сегодня же я пишу о том, что мы с ребятами решили прекратить совместную работу над этим проектом. Дело в то

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3 Aug 2026, 05:01 UTC99 views18 reactionsread 11 August 2026

😎 Сдал греческий и узнал, что такое donationware Привет всем, с кем я не знаком лично! Я живу на Кипре, и у нас тут есть местная забава: учить греческий. Так вот, в мае, после года не самого активного обучения, я сдал экзамен на A2 (и получил результаты только пару дней назад). Но самое интересное для меня было даже не сдать экзамен, а попасть в процесс активного обучения в нынешнюю AI-эпоху. И речь не о том, что

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28 Jul 2026, 11:36 UTC108 views11 reactionsread 11 August 2026

Posted without readable text

custom 53302006279076810856custom 52966653643467275845

15 Jul 2026, 16:44 UTC123 views9 reactionsread 11 August 2026
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Продолжаю настраивать Hermes-agent Ранее я писал о своем скорее неудачном опыте использования Hermes Agent. Всё постоянно не работало, отваливалось, и мне приходилось объяснять и перенастраивать даже самые простые фичи. В общем, это было далеко от plug-and-play. С тех пор я неоднократно возвращался к этому и сделал несколько новых итераций: 1️⃣Сначала я разобрался с постоянными ошибками и неотвечающим агентом. Ока

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7 Jul 2026, 15:13 UTC128 views9 reactionsread 11 August 2026
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Анализ Caveman 🗿 спустя время Три месяца назад 👴 я писал о наборе скиллов caveman, который позволяет уменьшать расход токенов, заставляя агента говорить как пещерный человек. Тогда еще член нашего комьюнити, Сергей, заметил, что раз модели тренируются на полноразмерных текстах, то работа с урезанными формулировками может повлиять на их эффективность. Вот эта мысль не давала мне покоя все эти месяцы. Я начал парано

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29 Jun 2026, 14:55 UTC140 views8 reactionsread 11 August 2026
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Наша, уже ставшей регулярной, рубрика: 🦻 Что там в твиттере обсуждают Тут Boris Cherny - глава Claude Code, написал интересный твит про то, что роли в разработке продуктов меняются, и предположил какими они могут быть в будущем на примере того, как это происходит в его командах. Это мог бы быть абсолютно проходной твит, если бы я не узнал то, как мы работаем сейчас с двумя другими коллегами. 😎 PM в прошлом -> Про

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27 Jun 2026, 13:48 UTC123 views11 reactionsread 11 August 2026
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Ускорил CI в два раза одной строчкой Эта история успеха, как часто бывает, началась с полного фейла. Я, помимо того, что профессиональный вайбкодер, еще и не менее профессиональный вайбдевопс 😎 И у меня не было таймаута в CI-джобе, которая собирает лендинг. В пайплайне не ответил сторонний сервис, и она висела несколько раз по 5 часов, ожидая ответа. Таким образом я выяснил, что у GitHub Actions есть ограничение в

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24 Jun 2026, 11:29 UTC141 views19 reactions1 Starread 11 August 2026
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😃Запуск первого крупного проекта в этом году В описании этого канала я обещал анализ AI-инструментов, запуск проектов и разные приколы. Кажется, все пункты закрыл, но вот с проектами пока было глухо. Над этим проектом мы с командой из трёх единомышленников работали с начала года. Пробовали разные идеи, меняли концепцию продукта, экспериментировали с функциями и, в том числе, проводили интервью с потенциальными поль

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19 Jun 2026, 07:50 UTC136 views13 reactionsread 11 August 2026
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О силе Твиттера Не так давно я получил закрытый доступ к PostHog Code. Для тех, кто не знает, PostHog, пожалуй, создают самую удобную аналитическую платформу с очень щедрыми бесплатными тарифами. А еще у них интересная культура компании. Например на сайте можно посмотреть кто из сотрудников любит пиццу с ананасами, а кто нет. Так вот, они решили зайти на рынок кодинговых агентов с этим новым продуктом. У меня пока

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17 Jun 2026, 14:41 UTC106 views22 reactionsread 11 August 2026
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🥸 Настраиваю Hermes Agent. Часть 1. Вы наверняка уже слышали много таких историй. Я вот слышал, и поэтому мое любопытство все подмывало меня попробовать что из себя предсталвяют эти автономные агенты и понять, как они могут изменить мою жизнь раз и навсегда. • Я слушал подкасты о том, как OpenClaw живет на 5 мини-маках и буквально уже учит детей. • Я читал сабреддиты, чтобы слышал истории о том, как агенты могут чи

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10 Jun 2026, 15:05 UTC134 views10 reactionsread 11 August 2026

Продолжу свою добрую традицию игнорировать все большие новости в мире ИИ и не буду писать про релиз Fable 😎 А напишу про интересное видео, которое я посмотрел сегодня: доклад от Kuba Rogut из Turbopuffer (fast search engine built on object storage) о тех самых трех буквах, которые будоражат мысли всех ИИ-энтузиастов — RAG. Как оказалось, и это было совсем неочевидно из заголовка, в контексте кодинговых агентов. Ита

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31 May 2026, 08:38 UTC163 views12 reactions2 Starsread 11 August 2026
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Где результаты 10-100x ускорения от AI? Интересный тейк "на подумать" от CEO Linear. Для тех кто не знает, они делают project-management solution в первую очередь для software development и активно пушат в сторону AI последние пару лет. И именно их вера в AI делает этот твит особенно занимательным. Мы слышим в каждом первом телеграм канале подкасте/статье/конференции о том, как все ускорили их пайплайны во много р

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Showing the 12 most recent of 20 posts we hold for @openkirill. 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 — 500,894 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

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.

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

“OpenKirill: AI Coding и другие приколы” (@openkirill), 103 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/openkirill.

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.