Telegram RegisterThe public register of Telegram

Channel

Artur Koltsov

@olsvu_notes

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

976subscribers

-1 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001509940537
TypeChannel
Username@olsvu_notes
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/olsvu_notes

Growth

976977976.57 Aug 2026, 07:32 — 977 subscribers7 Aug 2026, 18:44 — 976 subscribers7 Aug 2026, 07:327 Aug 2026, 18:44
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 976–977 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 18:44976-1
7 Aug 2026, 07:32977first reading

Engagement

10 posts held, back to 5 April 2024the 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
37.3%
avg views ÷ 976 subscribers
Avg views / post
364
1 post measured
Reaction rate
10.2%
reactions ÷ views · ER floor
Posts in window
1
of 10 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 29 July 2026
Posts held10 (5 April 202429 July 2026)
Views total364
Reactions total37
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 07:32 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

467 reactions across 10 posts, in 12 distinct kinds. The most used accounts for 32.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥15032.1%
8518.2%
🤯7315.6%
🏆6513.9%
🤔377.92%
🐳316.64%
😁102.14%
🤨91.93%
🌭30.642%
🌚20.428%
😱10.214%
🥴10.214%

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 10 of the 10 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 467reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 5 April 2024 to 29 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

29 Jul 2026, 18:46 UTC364 views37 reactionsread 7 August 2026

🐌🐌🐌

🏆14🤔10🤨7😁3🌚1🌭1🐳1

4 Feb 2026, 13:13 UTC≈1,260 views64 reactionsread 7 August 2026
Forwarded from @incrussiamediaPhoto

✉️ В 2022 году, когда весь мир заговорил о ChatGPT, мы с партнером за две недели собрали прототип сервиса, который давал доступ к нейросети на русском языке. У нас не было четкого видения, каким будет продукт, но был опыт запуска технологических стартапов и вера в то, что доступ к технологиям должен быть у всех. В итоге всего за год проект привлек миллион пользователей. <...> У проекта есть глобальная цель — упрос

❤‍🔥2619🏆11🤯5🐳2🤨1

1 Oct 2025, 07:28 UTC≈1,770 views51 reactionsread 7 August 2026

Невидимый рычаг продуктивности Чтобы его нащупать, нужно различить 2-х сущности 🥩 Старое знание — пустое, описательное, оно не предполагает действия. Информационный шум. Примеры: «кредиты сложно достать, кризис» — он у всех «плохие показатели у команды» — ок, что мы с этим делам? «ох, конкуренция высокая» — о_О и? это суть бизнеса и рекламного аукциона Признак: из него ничего не следует, к утверждению напрашива

23🤯13🐳8❤‍🔥4🌚1🏆1😁1

8 Sept 2025, 21:23 UTC≈1,670 views30 reactionsread 7 August 2026

Если группа не может найти время для решения проблемы в день ее возникновения (край след. день) — это не проблема для участников группы. Все "острые" и важные вещи обсуждаются и начинают решаться в течение дня.

🤔139❤‍🔥4🐳3😁1

15 Jul 2025, 19:16 UTC≈3,330 views74 reactionsread 7 August 2026
File

Один из умнейших людей современности Наваль Равикант — предприниматель, философ и ранний инвестор в твиттер, убер, форсквер. В 9 лет его семья переехала из Индии в Нью-Йорк. Он сделал хорошую карьеру, основал несколько проектов, вложился больше чем в 200 проектов, глобально помог развить краудвестинг. Мужик буквально лоббировал законы, чтобы любой человек мог инвестировать стартапы, а не только фонды. Его главный п

🤯26❤‍🔥25🏆12🐳5😁4🌭1😱1

28 Jun 2025, 17:26 UTC≈1,960 views38 reactionsread 7 August 2026

Маленьким компаням не стоит слепо копировать процессы у больших Ориентир на устоявшиеся практики и бенчмарки — ложный ориентир. Небольшие фирмы изначально в худшем положении. Свои правила игры, стратегия, темп — вот что даёт шансы на рост. Бесмысленно играть классические дебюты в шахматах, когда у соперников несколько лишних фигур.

❤‍🔥17🤔8🤯7🏆41🌭1

14 May 2025, 16:50 UTC≈2,440 views53 reactionsread 7 August 2026
Photo

Меня ничего особо не зацепило на тайм сквер в Нью-Йорке. Я был там по несколько раз, залипал в рекламу, но все мимо. Место ощущается, как будто ты попал на сайт с кучей баннеров и поп-апов во всех углах. Но реклама в метро и некоторая наружка — в сердечко. И креатив есть хороший и лаконичность в баннерах с дизайном.

26❤‍🔥12🐳11🤯3🥴1

14 Oct 2024, 14:02 UTC≈3,240 views32 reactionsread 7 August 2026
Video

Как продвигаются ЭКСМО и «Читай-город» Самый бизнесовый эпизод из всех: говорили про тренды на книжном рынке, бум на восточных авторов, конкуренцию с маркетплейсами и пиратство. Читай-город поделились неочевидным каналом продвижения, а также много рассказали про инфлюенс-маркетинг для книжных. Обсудили, как выбирать блогеров для интеграций, и что может пойти не так в работе с ними. Смотрите на: 📺Youtube 📺VK Видео

❤‍🔥13🤯8🤔63🏆2

25 Jul 2024, 15:27 UTC≈3,350 views51 reactionsread 7 August 2026
Photo

Закатили брендинг для фестиваля Яндекс Музыки 🔥 Правда, Яндекс пока об этом не знает, но и до них кейс скоро долетит :) А посмотреть дизайн и прочувствовать летнюю атмосферу можно по ссылке

❤‍🔥30🏆13🤯62

5 Apr 2024, 09:46 UTC≈3,660 views37 reactionsread 7 August 2026

Сходил на подкаст к Диме Беговатову основателю Product Radar. Мы поговорили про маркетинг стартапов: как продвигаться и есть ли смысл это делать без бюджета. Product Radar — место, где стартапы могут собрать обратную связь и показать себя миру. Мы тоже там размещаемся, хороший источник трафика и партнерств для старта. Где послушать, подписаться и лайкнуть: 📺 YouTube • 🎵 Яндекс • 🎵 Apple • 🎵 Spotify • 🌐 На сайте п

❤‍🔥19🏆8🤯52🐳1🤨1😁1

Showing the 10 most recent of 10 posts we hold for @olsvu_notes. 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 — 812,218 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.

Mentions

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

“Artur Koltsov” (@olsvu_notes), 976 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/olsvu_notes.

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.