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Channel

Lagus research

@lagus_research

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

682subscribers

+6 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-1003380297511
TypeChannel
Username@lagus_research
Created27 November 2025measured — dated from the channel’s first post
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/lagus_research

Growth

6766826796 August 2026 — 676 subscribers6 August 2026 — 676 subscribers14 August 2026 — 682 subscribers6 August 202614 August 2026
3 measurements spanning 9 days, net +6. 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 675–683 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 16:08682+6
6 Aug 2026, 16:39676no change
6 Aug 2026, 00:55676first reading

Engagement

12 posts held, back to 27 November 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.

ERR · 30 days
111.9%
avg views ÷ 682 subscribers
Avg views / post
763
1 post measured
Reaction rate
4.72%
reactions ÷ views · ER floor
Posts in window
1
of 12 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 21 July 2026
Posts held12 (27 November 202521 July 2026)
Views total763
Reactions total36
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 16:39 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

563 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥25044.4%
👍12321.8%
11019.5%
🤓417.28%
💅183.20%
🙏142.49%
40.71%
🫡30.533%

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 12 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 563reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 27 November 2025 to 21 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

17 Jul 2026, 12:48 UTC968 views42 reactionsread 6 August 2026

Два месяца назад мы релизнули Acton v1.0 и v1.1 через пару недель. За это время было 2k+ уникальных установок cli, мы раздали 2000 грам через фасет за >1k реквестов и репозиторий получил 400 звёзд 🗣🗣🗣 Многие продуктовые команды в экосистеме начали использовать Acton в своих процессах разработки, также приятно видеть адопшен и в опен-сорсе: • SekaiCTF с Acton таской на Тоне • Permissionless zk от @resistortools • Cha

🔥308🤓4

11 May 2026, 09:18 UTC≈10,500 views165 reactionsread 6 August 2026

Я пришел в Тон экосистему летом 24 года когда она была в прайме. Тогда в блокчейн пришло много новых разработчиков, однако спустя 2 года из них остались единицы. Одна из причин - сложность ончейн разработки и состояние дев тулинга для неё. Последние полгода я работаю в команде Тон Кора и занимаюсь смарт контрактами и инструментами для них. Сегодня мы релизнули гейм-ченджер для разработки на Тоне - тулчейн Acton. Эт

👍72🔥5036🙏4🫡2💅1

30 Apr 2026, 15:07 UTC≈2,050 views37 reactionsread 6 August 2026
Photo

У нас в мейннете еще одно важное голосование за снижение сетевых комиссий. Давайте разберемся за что именно голосуем и почему станет дешевле. Изменяются три некритических параметра конфига: 18, 21, 25. 1. 18 параметр - цены на сторадж, то есть за хранение информации в аккаунтах на блокчейне. Обновление цен в бейзчейне: Было: 1 nanoton за bit каждые 65536 sec, 500 nanoton/cell/65536s Стало: 0 nanoton за bit каждые 6

🔥1711👍6💅3

8 Apr 2026, 17:29 UTC≈6,490 views33 reactionsread 6 August 2026
Photo

Voting is now live on mainnet for a change to config parameter 30 and the activation of Catchain 2.0, a new sub-second consensus with ~400ms block-time. This is a fundamental change to our blockchain, allowing validators to communicate internally with each other using QUIC protocol. There is a website where you can track the validator voting progress in real time: https://vote.lagus.cooking/ Fingers crossed.

🔥20🤓9🙏4

8 Apr 2026, 14:51 UTC≈10,800 views43 reactionsread 6 August 2026
Photo

Прямо сейчас в мейннете идет голосование изменение 30 параметра конфига и включение Catchain 2.0 - нового Simplex-like долгожданного sub-second консенсуса. Это фундаментальное изменение нашего блокчейна, которое также поменяет внутренний протокол через который общаются валидаторы (RLDP -> QUIC). Сделал сайт через который можно в прямом эфире следить за прогрессом голосования валидаторов: https://vote.lagus.cooking/

🔥21💅116👍2🤓2🫡1

2 Mar 2026, 18:45 UTC≈1,470 views53 reactionsread 6 August 2026
Photo

Формальная верификация в Тоне Сама идея формального рассуждения восходит к Готфриду Лейбницу (XVII век), который мечтал о создании универсального языка, способного свести все споры к вычислениям. Идея в том, чтобы привести математическое доказательство того, что система ведёт себя строго в соответствии со своей спецификацией, а не просто проверка на отдельных примерах. Главная разница с обычными инвариантными теста

👍20🔥1413🤓4💅2

6 Jan 2026, 16:23 UTC≈5,270 views61 reactionsread 6 August 2026
Photo

А вас же тоже бесят мнемоники? Мне они всегда не нравились, цифровые хранилища для них ненадежны, физические и потерять можно, а кроме селф-кастоди я ни во что не верю. В эти новогодние праздники я решил с этим разобраться. В блокчейнах с EOA моделью у пользователей особо нет выбора - кошельки и логика их подписей заданы внешне, на уровне протокола, и у разработчиков нет возможности изменить их ончейн логику. Одна

🔥3911🙏62🤓2💅1

8 Dec 2025, 16:09 UTC≈1,880 views62 reactionsread 6 August 2026
Photo

Консенсус в Тоне, обзорно За время существования Тона в опенсорсе, консенсус, описанный Николаем в catchain.pdf, обсуждался меньше всего. В этом посте разберемся как валидаторы договариваются о принятии новых блоков, почему в Тоне не бывает форков (finality = latency) и как можно это потрогать. Пдф описывает два протокола - собственно сам Кэтчейн и BCP (Block Consensus Protocol). Несмотря на крутое название, Кэтче

🔥27👍1612🤓52

8 Dec 2025, 16:09 UTC≈1,250 views31 reactionsread 6 August 2026

Всем привет, меня зовут Максим, это мой технический блог посвященный разработке и ресерчу в асинхронном блокчейне Тон. Буду писать про контракты, консенсус, ончейн секьюрити и экосистему. Имею бэкграунд в evm/svm, распределенных системах и zk. gh -> @Kaladin13 ld -> @maksim-lagus tg -> @tiredofbeeing Все мнения мои собственные.

🤓159🔥7

Showing the 12 most recent of 12 posts we hold for @lagus_research. 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 — 25,266 of 1,548,671entries 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 6 registered channels — 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.

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

“Lagus research” (@lagus_research), 682 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/lagus_research.

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.