5 measurements spanning 10 days, net +3. 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 2,654–2,660 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 07:04
2,659
+1
12 Aug 2026, 13:06
2,658
+3
9 Aug 2026, 21:31
2,655
-1
6 Aug 2026, 15:01
2,656
no change
6 Aug 2026, 14:53
2,656
first reading
Engagement
18 posts held, back to 10 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
23.8%
avg views ÷ 2,659 subscribers
Avg views / post
633
5 posts measured
Reaction rate
2.37%
reactions ÷ views · ER floor
Posts in window
5
of 18 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
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
18 (10 June 2026 – 6 August 2026)
Views total
3,163
Reactions total
75
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:18 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.
Reaction mix
232 reactions across 17 posts, in 13 distinct kinds. The most used accounts for 31.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
72
31.0%
🔥
56
24.1%
👍
29
12.5%
❤🔥
15
6.47%
😱
15
6.47%
💘
13
5.60%
🤨
13
5.60%
🐳
9
3.88%
🙏
4
1.72%
👎
2
0.862%
🙈
2
0.862%
😁
1
0.431%
🤔
1
0.431%
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 18 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 18 most recent posts we hold, published 10 June 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 17 we hold a reading for · 12%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ive_from_0_to_1. 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 18 most recent posts we hold for this entry, published 10 June 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.
Advertising
Ad load
5.56%
1 of 18 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
553
over 1 measured post
Median views · rest
776
over 16 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqwBLggy
1
30 June 2026
30 June 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 18 most recent posts we hold, published 10 June 2026 to 6 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Кстати, через пару дней мы устроили сессию "благодарности" друг к другу (на предыдущей просто не успели).
И это было (почти:) так же хорошо. Хотя мой мит прошел на границе между двух стран, в очереди на паспортный контроль.
У меня в какой-то момент проступили слезы. Не знаю, от признательности? или ценности услышенного, или откровенности.
В общем: спасибо ❤️
Недавно мы с парнерами налили друг на друга кучу говна. И это было лучшее что случалось за последнее время))
Мы устроили психологическу сессию разгрузки, потому что в какой-то момент увидели что у нас рассинхрон, не понимание и что-то копится друг к другу.
Настал момент выговориться.
Созвонились на 4 часа. Потрындеть. И потом концентрированно поделиться фидбэком, недовольством, критикой которая поднакопилась.
Сдел…
Я состою в сообществе SLP — одном из самых живых сообществ русскоязычных предпринимателей, которые я знаю.
Сейчас идет набор на программу SLP — это программа Peer-to-peer обучения предпринимателей и единственный способ присоединиться к сообществу. Хочу порекомендовать тебе поучаствовать — думаю, что тебе это точно будет полезно!
Наборы сейчас проходят только раз в год и набирают только 30 участников, поэтому, если …
В отпуск съездил в Китай. Вот ТОП причин, почему вам тоже надо:
Это ЭПИК. Вообще сворачивает голову. У меня есть какой-то внутренний список требований для места, где я бы хотел жить. И любой из городов Китая, где я был, подходит по этим пунктам кроме одного (очень важного, но я расскажу про него позже).
Список требований:
Большой технологичный город. Это очень ДА. Шанхай, Пекин — гигантские и продвинутые. Листаешь…
Давно же не рассказывал вам что у нас в контент маркетинге происходит.
Было: трафик до апреля систематически падал. Ну потому что до апреля мы не занимались контентом вообще, от слова полностью.
В апреле мы решили что пора вернуться в контент маркетингу и строить агентов которые будут на потоке создавать контент.
НО!
Шаг номер 1: нам надо было полностью пересобрать весь сайт, позиционирование, контент стратегию. Б…
Снова 00.10 а я с клодом собираю очередную "классную штуку". В этот раз - паспорт пилота. Чтобы в командной Dashly os был единый шаблон пилота и скилы для работы с ним. Переезжаю из Notion где мы руками большую часть фиксировали в multi repo. Чтобы большую часть рутинных задач делал coude.
Позже покажу как нибудь.
Попробовали Fabel 5
Давать ему задачу самому - дорогое удовольствие.
А вот использовать его как управляющего агента, чтобы он раздавал задачи и управлял какие задачи какими моделями делать - вот это хороший юзкейс.
Я переживаю как у нас работают Revenue agents
Например, как работает Inbound AI SDR? Выполняет ли он свою работу: собирать данные квалификации, не нести фигню, бронировать встречи с менеджерами?
Банальная уверенность что продукт работает на уровне - база для продаж. Какое-то время назад вообще не готов был активно продавать, потому что было переживание на фоне.
Мы решили эту задачу. Разработали "sim-пацанов":) Это…
Задолбанный, но довольный. Победил продажи!
Неделю работаю над отчетом которые мы собираем для клиентов dashly.
Это отчет который показывает дыры в inbound воронке в процессах продаж.
Мы подключаемся к CRM, чтобы достать от туда фактуру по продажам.
Получается дофига инсайтов.
• сколько приходит "мусора" в воронку
• сколько времени sdr (менеджер на первой линии) связывается с клиентом. А сколько потеряли не устано…
Многие компании, которые релоцировались за границу, по-прежнему работают со специалистами из России и Беларуси.
Но платить в РФ и РБ — боль.
К счастью, такая возможность есть через ReStaff
У платформы прозрачный курс конвертации, никаких скрытых комиссий:
- Выплаты в РФ из-за границы: курс ЦБ плюс 1,5%
- Выплаты из РФ в другие страны: курс ЦБ плюс 2,5%
Преимущества сервиса:
- Выплаты в рублях во все банки РФ
- …
Как системно ускорить команду за счет ai агентов?
Раньше базой было сделать общий notion с командными знаниями, task manager, цент коммуникации команды (slack) и т.д.
Сейчас когда вместе с командой работают агенты, надо перестраивать процесс работы и команды, и агентов. Чтобы у всех был общий контекст, общее пространство знаний, целей, правил работы.
Отсюда вытекают 4 слоя для работы всей команды (включая агентов…
❤7💘2❤🔥1🐳1
Showing the 12 most recent of 18 posts we hold for @ive_from_0_to_1. 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 — 213,234 of 1,481,306entries 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.
Mentions
Named by 3 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.
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“From 0 to 1 again. Go Global” (@ive_from_0_to_1), 2,659 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/ive_from_0_to_1.
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.