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Вектор, вектор, человечек

@vektorchik

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

115subscribers

+2 since we began measuring on 9 August 2026

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

Register entry

Telegram ID-1001664285684
TypeChannel
Username@vektorchik
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live17 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/vektorchik

Growth

1131151149 August 2026 — 113 subscribers10 August 2026 — 113 subscribers17 August 2026 — 115 subscribers9 August 202617 August 2026
3 measurements spanning 8 days, net +2. 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 113–115 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 10:06115+2
10 Aug 2026, 07:45113no change
9 Aug 2026, 13:31113first reading

Engagement

17 posts held, back to 23 January 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
179.1%
avg views ÷ 115 subscribers
Avg views / post
206
1 post measured
Reaction rate
11.7%
reactions ÷ views · ER floor
Posts in window
1
of 17 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 19 July 2026
Posts held17 (23 January 202619 July 2026)
Views total206
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 13:31 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

277 reactions across 17 posts, in 19 distinct kinds. The most used accounts for 22.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6322.7%
5419.5%
👍4516.2%
❤‍🔥4014.4%
🤣176.14%
😁155.42%
👏93.25%
😭72.53%
😱51.81%
🎉41.44%
🤯41.44%
🤔31.08%
🤬31.08%
👾20.722%
💯20.722%
👀10.361%
🖕10.361%
🤝10.361%
🤡10.361%

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 17 of the 17 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 277reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 23 January 2026 to 19 July 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

19 Jul 2026, 02:54 UTC206 views24 reactionsread 9 August 2026
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Извините за такой пост, НО какой пидо*** тему письма придумывал??? когда внутри там просто у вас академ задолженность. Меня спустя час до сих пор трясёт и живот до боли скрутило, не скажу что для меня университет это многое, но вложил я туда не мало. Просто столько мыслей в секунду у меня ещё в жизни не генерировалось P.S. я думал, когда в тебя тачка на перекрёстке въезжает страшно, но оказывается это вообще ни о

🤣17🤬3🤯21🖕1

10 Jul 2026, 13:36 UTC297 views10 reactionsread 9 August 2026
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Вместо тысячи слов)

😁9🤡1

6 Jul 2026, 12:51 UTC294 views13 reactionsread 9 August 2026
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Conversations 2026 Разделю впечатления на несколько блоков и начну с самого интересного, что не звучало со сцены 🙃 Очень порадовался, что в некоторых больших компаниях в качестве основных моделей используют Anthropic и GPT по подписке. У этого есть две причины. Во-первых, опенсорсные модели пока не работают в агентских задачах. Во-вторых, очень понравился ответ "мы деньги считать умеем". Мне кажется, на данный моме

9👍4

30 Jun 2026, 09:41 UTC306 views13 reactionsread 9 August 2026
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И зачем мне ещё одна мага (заняли второе место) 🤨 Тем более решил не поступать в магу, покрайней мере в РФ.

🔥8👏3❤‍🔥2

7 Jun 2026, 17:11 UTC430 views15 reactionsread 9 August 2026
Photo

#ГОЛОВНЫЕМЮСЛИ В последнее время даже не знаю, о чём писать, поэтому вот вам небольшая каша, написанная, сидя у фонтана, из трёх частей) 1. Чёрт, насколько же умные LLM! Они замечательно пишут код, лучше любого человека, анализируют проблемы, что уж говорить, агенты замечательно пишут сами себя! И, наверное, единственное, в чём они пока не могут сравниться с человеком, это длинная память и креатив (ты типа можешь

👍9🔥4👾2

28 May 2026, 11:46 UTC423 views11 reactionsread 9 August 2026

Боевое крещение пройдено: - куртка; - рюкзак. Я жив цел, получил несколько ссадин.

👏6🤔3🤯2

27 May 2026, 10:37 UTC417 views11 reactionsread 9 August 2026
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Вааааа LynxS ❤️ Едет больше 100 и на него не нужны права)))) (пока учусь на категория А Б🤪) PS Мне тут напоминают что ДМС у меня пока нету 😄

🔥8😱3

16 May 2026, 13:53 UTC564 views14 reactionsread 9 August 2026

Окончательно пересел с Claude Code на Codex. Очень надоели постоянные баны аккаунтов и проблемы с оплатой. Плюс у Codex какие-то неадекватно щедрые лимиты на Pro-подписке. Провайбкодил пол ночи на GPT-5.5 в xhigh-режиме в четырёх сессиях и потратил всего около 80% пятичасового лимита. Это вау. Spark-модели тоже произвели впечатление. Так много нейрослопа в минуту я ещё не генерировал 😄 Из неприятного, CLI очень не

👍14

3 May 2026, 21:27 UTC572 views13 reactionsread 9 August 2026
Photo

Потратил часть выходных на то, чтобы обернуть несколько сервисов в MCP и описать стандартные задачи в скилы. На моноколесе тоже успел покататься. Очень классная вещь. Вообще начать хочется с мотивации: зачем нам нужны виртуальные сотрудники? Первое очевидное - ускорение работы. Делегируем часть задач агентам, получаем быстрый результат, фиксируем профит. Второе, как по мне, даже интереснее - хранение контекста. Мы п

🔥84👍1

30 Apr 2026, 19:16 UTC443 views16 reactionsread 9 August 2026
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Хочу рассказать про сервис своего отца, к которому и сам приложил руку — cognico.ru Это сервис для простой и незаметной записи ваших личных созвонов, переговоров, лекций и вебинаров. Есть приложение для записи экрана и звука. Я занимался исследованием ML-моделей для детекции речи и определения спикеров и да это не просто обёртка над api сервисами, все модели развернуты у нас =) Лично мне помогает не забыть, что об

14😱2

16 Apr 2026, 19:26 UTC493 views10 reactionsread 9 August 2026

Моя поймала мысль. Моя сменила поле охоты. 🏹 Жить стало радостно. 🙃 Головника меньше. 🧠 Моя в приятном стаде. 😁

❤‍🔥10

26 Mar 2026, 09:13 UTC882 views13 reactionsread 9 August 2026

Оформил простенькую статью, как сделать обвязку для AI агентов. Вроде даже не плохо получилось 🙃 https://habr.com/ru/articles/1015252/

👍8🔥5

Showing the 12 most recent of 17 posts we hold for @vektorchik. 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 — 1,258,703 of 1,480,975entries 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.

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

“Вектор, вектор, человечек” (@vektorchik), 115 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/vektorchik.

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.