Telegram RegisterThe public register of Telegram

Channel

Second Brain 🗃

@second_brain_ru

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

4,339subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001254651248
TypeChannel
Username@second_brain_ru
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/second_brain_ru

Growth

4,3354,3394,3377 August 2026 — 4,338 subscribers7 August 2026 — 4,339 subscribers10 August 2026 — 4,335 subscribers13 August 2026 — 4,339 subscribers7 August 202613 August 2026
4 measurements spanning 6 days, 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 4,334–4,340 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 15:264,339+4
10 Aug 2026, 22:254,335-4
7 Aug 2026, 20:354,339+1
7 Aug 2026, 08:474,338first reading

Engagement

20 posts held, back to 2 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.3%
avg views ÷ 4,339 subscribers
Avg views / post
709
2 posts measured
Reaction rate
2.89%
reactions ÷ views · ER floor
Posts in window
2
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 6 August 2026
Posts held20 (2 March 20266 August 2026)
Views total1,418
Reactions total41
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:20 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

527 reactions across 20 posts, in 15 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥16531.3%
👍16330.9%
12423.5%
183.42%
😢132.47%
🤯91.71%
🥴71.33%
💯61.14%
👀50.949%
😁50.949%
40.759%
🫡40.759%
🤩20.38%
🆒10.19%
😐10.19%

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 527reactions 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 2 March 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 20 we hold a reading for · 10%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @second_brain_ru. 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 2 March 2026 to 6 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

6 Aug 2026, 07:08 UTC641 views18 reactionsread 8 August 2026
Photo

🧠 Второй мозг у вас есть. А агент про вас всё ещё ничего не знает Хранилище собрано, заметки связаны, Dataview крутит дашборды. Открываете Claude - и в десятый раз объясняете ему, кто вы, над чем работаете и что вообще происходит. Каждый новый чат начинается с чистого листа. Получается два параллельных мира: аккуратный второй мозг в Obsidian и агент, который про этот мозг не знает ничего. Знания лежат в хранилище

77👀4

5 Aug 2026, 08:57 UTC777 views23 reactionsread 8 August 2026
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🔁 Вам не нужен ещё один инструмент Вечер. Вы открыли хранилище, чтобы дописать один абзац. Через полчаса вы уже сравниваете Obsidian с Logseq и прикидываете, не перенести ли всё туда - там ведь «наконец-то нормальный граф». Абзац так и не написан. Зато вечер прошёл насыщенно: вы же занимались своей системой. Пишу это в первую очередь для себя. Повод - короткий пост в r/PKMS, всего две строки, 84 голоса: «Если с ва

🔥19👍31

6 Jul 2026, 11:16 UTC≈1,920 views15 reactionsread 8 August 2026
Photo

📋 Настройка терминала macOS: iTerm2, Oh My Zsh и Powerlevel10k Новая статья на сайте - для всех фанатов (и вынужденных пользователей) терминала на MacOS.

🔥8👍52

25 Jun 2026, 07:54 UTC≈6,510 views24 reactionsread 8 August 2026
Photo

💼 Сколько вам стоит то, что вы не можете найти? Не абстрактно. Конкретно: переговоры, где вы не вспомнили нужную цифру. Текст, который писали с нуля, потому что прошлый похожий потерялся. Решение, принятое второй раз, потому что первое не записали. Час здесь, два там - и так каждую неделю. У эксперта и предпринимателя знания и есть рабочий капитал. Но у большинства они лежат как наличка под матрасом: вроде есть, а

🔥12👍83😐1

23 Jun 2026, 09:19 UTC≈1,990 views24 reactionsread 8 August 2026
Video

📚 Заметка из Obsidian - правим прямо в Zotero Думаю, что не сильно ошибусь, если у многих хардкорных пользователей Zotero сложился определенный flow. Читаешь PDF в Zotero, хайлайтишь цитаты, делаешь выводы - а думать и писать идешь в Obsidian. И между ними все время мечешься, как будто это два разных рабочих стола в двух разных комнатах. Для меня этот разрыв остается одной из самых неудобных деталей в чтении: пока

👍1354🔥2

8 Jun 2026, 08:50 UTC≈2,330 views17 reactionsread 8 August 2026
Photo

Халява на весь июнь - Anthropic удваивает 5-часовые лимиты в Claude Cowork Как-то тихо и без помпы Anthropic запустили промо: с 5 июня по 5 июля 2026 пятичасовое окно в Claude Cowork даёт вдвое больше лимитов использования, чем обычно. Бесплатный апгрейд, за который не надо ни платить, ни даже кнопку нажимать. Сразу важный момент - Cowork это не Claude Code и не обычный чат. Это десктопный AI-агент от Антропиков (

🔥123👍2

23 May 2026, 08:40 UTC≈2,800 views25 reactionsread 8 August 2026
Photo

🤖 AI-агенты в хранилище Obsidian. Попытка от Copilot Вче Brevilabs (те самые ребята, которые делают плагин Obsidian Copilot) анонсировали следующую мажорную версию - Copilot V4.Теперь это не просто чат сбоку, а попытка переизобрести то, как вы работаешь с AI внутри базы знаний. Что строят: *⃣Передовые агенты прямо внутри Obsidian. На выбор - Claude Code или Codex. Не хотите зависеть от разработчиков плагина - подк

👍115🔥5🥴4

7 May 2026, 04:25 UTC≈3,450 views29 reactionsread 8 August 2026
Photo

Anthropic удвоила лимиты Claude Code и закупила у SpaceX 220 000 GPU. Орбитальный compute уже на горизонте. 6 мая Anthropic выкатила пачку новостей, от которых у любого, кто плотно сидит в Claude, полегчает на душе. Что меняется прямо сейчас: 1️⃣ Лимиты Claude Code удвоены. Те самые 5-часовые rate limits на Pro, Max, Team и Enterprise - теперь умножай на два. Длинные агентские сессии и обработка больших хранилищ п

🔥168👍32

22 Apr 2026, 08:45 UTC≈3,180 views19 reactionsread 8 August 2026
Photo

🧭 Ещё один курс по заметкам на полке? Знакомая картина: прочитали три книги про PKM, купили десятый курс, поставили тридцать плагинов. Настроили шаблоны, граф, теги. Месяц-два - и снова открываете Apple Notes. А красивая база знаний пылится где-то на фоне. Исходя из опыта - проблема почти всегда не в инструменте. Инструмент вторичен. Система - первична. Поэтому у меня есть формат, который работает не как очередно

13🫡4🤩2

16 Apr 2026, 07:04 UTC≈2,990 views23 reactionsread 8 August 2026
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⏰ Claude Code Routines: крон для AI, без танцев с VPS Два дня назад, 14 апреля, Anthropic тихо выкатили в Claude Code прикольную функцию, которую мы ждали - Routines. По-простому: это облачные задания по расписанию. Вы описываете задачу обычным текстом, выбираете частоту - и дальше Claude выполняет её сам, на серверах Anthropic, пока вы спите, работаете или пьёте кофе. Раньше, чтобы собрать что-то подобное, приходи

🔥137👍3

13 Apr 2026, 10:21 UTC≈2,110 views38 reactionsread 8 August 2026
Photo

🐀 Как перестать быть цифровым Плюшкиным Давайте по чесноку: сколько статей вы сохранили в Pocket (или любые другие "отложки") за последний год? А сколько из них реально прочитали? У меня были периоды, когда сохранял сотнями. Из них прочитанных - не более 10%. И это я ещё себе льщу. Помните Плюшкина из «Мёртвых душ» Гоголя? Помещик, который тащил к себе в усадьбу всё подряд - старую подошву, глиняный черепок, железн

👍14😢1364🆒1

10 Apr 2026, 10:12 UTC≈2,080 views28 reactionsread 8 August 2026
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Никлас Луман: десятки книг благодаря картотеке 🗃 90 000 карточек, десятки книг и один деревянный шкаф. Как госслужащий из Нижней Саксонии обыграл всю академическую систему Дисклеймер: да, я знаю, что для многих эта тема - боянище, но в этом канале я про Лумана почти не писал, и считаю важным зафиксировать для истории. Так что кто в курсе - ждите следующего поста, кто не в курсе - читаем внимательно. Представь: тебе

16👍7🔥4💯1

Showing the 12 most recent of 20 posts we hold for @second_brain_ru. 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 — 1,086,875 of 1,189,255entries 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Second Brain 🗃” (@second_brain_ru), 4,339 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/second_brain_ru.

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.