10 measurements spanning 7 days, net -85. 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 26,161–26,272 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 04:15
26,174
-11
12 Aug 2026, 00:53
26,185
-4
11 Aug 2026, 02:42
26,189
-15
10 Aug 2026, 04:44
26,204
-6
9 Aug 2026, 03:54
26,210
-11
8 Aug 2026, 05:04
26,221
-29
7 Aug 2026, 03:40
26,250
-4
6 Aug 2026, 05:40
26,254
-5
6 Aug 2026, 02:02
26,259
no change
5 Aug 2026, 22:02
26,259
first reading
Engagement
17 posts held, back to 19 May 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
16.0%
avg views ÷ 26,174 subscribers
Avg views / post
4,190
2 posts measured
Reaction rate
1.40%
reactions ÷ views · ER floor
Posts in window
2
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
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
17 (19 May 2026 – 7 August 2026)
Views total
8,380
Reactions total
117
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 22:14 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
1,573 reactions across 16 posts, in 9 distinct kinds. The most used accounts for 48.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
760
48.3%
🔥
266
16.9%
👎
223
14.2%
👍
188
12.0%
🤯
76
4.83%
😢
19
1.21%
🤔
18
1.14%
🕊
14
0.89%
🤬
9
0.572%
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 1,667reactions 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 19 May 2026 to 7 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
55
across the posts below
Posts paid on
6
of 17 we hold a reading for · 35%
Most on one post
40
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @desprod. 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 17 most recent posts we hold for this entry, published 19 May 2026 to 7 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
11.8%
2 of 17 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
2,950
over 2 measured posts
Median views · rest
5,430
over 15 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.
Measured over the 17 most recent posts we hold, published 19 May 2026 to 7 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.
Не раз уже писал, что окружение сильно на меня влияет. В том числе - кого читаешь / смотришь / слушаешь.
Когда-то постепенно вылезал из дизайн-пузыря стал отписываться от дизайнеров и подписываться на самых разных людей, и всё больше на фаундеров.
И вот сейчас, кажется, доподписывался до инвесторов. Это какой-то новый (для меня) и очень интересный (для меня) слой реальности.
Если и вам такое тоже может быть интере…
А в какой момент человек может считаться предпринимателем («фаундером» ещё говорят)?
• когда зарегистрировал юрлицо?
• когда заработал первый доллар не в найме?
• или поднял хотя бы какие-то инвестиции?
• когда нанял первого сотрудника?
Все ли фрилансеры — предприниматели? Как вы это понимаете?
25 июня 2016 года, ровно десять лет назад, мы с Катей сели на самолёт Москва-Дублин без обратных билетов.
Ту тикетс ту даблин, получается.
Мир тогда был совсем другим, конечно.
Сейчас, спустя десять лет, хочется ещё раз сказать огромное спасибо Ирландии, которая стала нашим новым домом. Ну, про страну я писал недавно.
А в день переезда у нас была ещё история.
— Что планируете делать в Дублине? — сотрудник отеля …
На прошлой неделе было объявлено, что Salesforce покупает компанию Fin (это новое название Intercom) за $3.6B.
Очень хочется поздравить бывших коллег и всю команду с заслуженным экзитом!
Я бесконечно благодарен Интеркому и очень счастлив, что у меня в течение 5 лет была возможность быть частью этого пути.
Я был (и в чём-то остаюсь до сих пор) фанатом Интеркома. Вообще у меня кажется есть тенденция влюбляться в ком…
Podlodka #482 – Найм в эпоху AI
AI уже меняет найм: резюме пишутся нейросетями, кандидаты массово откликаются на вакансии, на собеседованиях подсказывают боты, а компании пытаются понять, как теперь отличать сильных людей от сгенерированного шума. В этом выпуске обсуждаем, каких людей компании будут нанимать в эпоху AI. Почему всё чаще говорят про high agency и вкус? Кто в ближайшее время точно не станет заменяемым:…
Ребята из Community Sprints снова проводят конференцию про AI-юзкейсы (и позвали меня выступить)
На конференции своим опытом использования AI в работе и бизнесе поделятся продакты, маркетологи, инженеры и основатели из:
• Miro
• Plurio
• Yango
• Nebius
• TripleTen
• DoorDash
• И других команд
Мне очень импонирует, что в этих конференциях спикеры делаятся реальными юзкейсами.
Никакой теории, только рассказы о том,…
В прошлом посте рассказал о том, что из шести наших форум-групп для читателей канала только две прожили полгода, остальные разошлись.
Изначально форум-группы придумали в бизнес-коммьюнити YPO.
И видимо, формат по-настоящему круто работает для фаундеров и топ-менеджеров. Людей, которые постоянно сталкиваются с экзистенциальными вопросами.
И людей, которые чувствуют в этих вопросах некое одиночество.
Когда ты фаунд…
Сегодня ночью Anthropic объявила, что по требованию правительства США отзывает доступ к передовым моделям Fable / Mythos. Требование состоит в том, чтобы доступ был только у граждан США.
Не-гражданам нельзя пользоваться этими моделями, даже сотрудникам Антропика 🤯! Поскольку технически быстро обеспечить это требование не получается, модели просто выключили пока для всех.
Мне этот прецедент очень не нравится.
Непон…
Когда-то уже рассказывал свою теорию о том, что у Телеграм-каналов случаются сезоны, как у сериалов. Очень мало кто из авторов (если это нормальный живой человек, а не контент-машина) может выдавать интересные посты постоянно.
Гораздо чаще вижу, что у человека случается приступ вдохновения, он пишет много. Потом остывает и пропадает. Потом иногда снова ловит волну и снова пишет.
Вот сейчас кажется как раз идёт нова…
В декабре подробно рассказывал про одно из важнейших для меня мини-сообществ — нашу форум-группу.
Тогда же мы в партнёрстве с Наташей Шипшилей и сервисом Qoroom объявили о запуске групп для подписчиков этого канала.
Гипотеза была в том, что у дизайнеров и продактов могут быть схожие вопросы (например, про карьеру и/или переход в предпринимательство) — и что группа будет отличным способом эти вопросы разбирать.
Что…
Ладно, чёрт с ней с Мафией, вот пара мыслей про дизайн.
Вчера на WWDC Apple показала новые операционные системы
Моя главная реакция — недоумение.
В прошлом году как-то поленился удержался от того, чтобы написать про Liquid Glass. Напишу сейчас значит, когда все уже вроде бы привыкли. Хотя Инстаграм вот только-только выкатил стеклянный стиль.
Liquid Glass — это сплошное недоумение, начиная с факта своего существов…
Кстати. Я специально не выключаю дизлайки в канале (в отличие почти от всех знакомых 🙈) — писал про это тут. Всё ещё считаю, что дизлайки — это важный канал обратной связи читателей.
Но реакции на предыдущий пост про Мафию меня немного удивили. А можете рассказать, пожалуйста, что именно вам не нравится или с чем вы несогласны?
• не нравится упоминание Сэма Альтмана или Брайана Джонсона?
• не нравится игра Мафия?
•…
👎76❤56👍19🤔2
Showing the 12 most recent of 17 posts we hold for @desprod. 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 — 40,320 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.
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 9 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Kostya Gorsky’s Channel” (@desprod), 26,174 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/desprod.
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.