Автор методологии Advanced JTBD, вайб-кодинг интенсива Boost [boost-intensive.ru] и курса «Как делать продукт» [zamesin.ru/producthowto]. Основал Мету [bemeta.co]
Партнёрства и B2B: @teamzamesin
Created
27 July 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
30 measurements spanning 34 days, net +487. 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 49,361–50,583 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
9 Sept 2026, 04:20
49,989
-45
5 Sept 2026, 21:17
50,034
-7
3 Sept 2026, 16:40
50,041
-20
2 Sept 2026, 07:57
50,061
-6
1 Sept 2026, 08:27
50,067
-13
31 Aug 2026, 08:38
50,080
-46
30 Aug 2026, 10:05
50,126
+2
29 Aug 2026, 11:35
50,124
+1
28 Aug 2026, 12:27
50,123
-3
27 Aug 2026, 15:56
50,126
-17
26 Aug 2026, 16:48
50,143
-49
25 Aug 2026, 17:52
50,192
-24
24 Aug 2026, 21:25
50,216
-47
23 Aug 2026, 06:45
50,263
-16
21 Aug 2026, 20:53
50,279
+2
20 Aug 2026, 16:02
50,277
+6
19 Aug 2026, 13:12
50,271
-23
18 Aug 2026, 16:18
50,294
-54
17 Aug 2026, 17:57
50,348
-32
16 Aug 2026, 15:36
50,380
first reading
Engagement
33 posts held, back to 22 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 75 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.8%
avg views ÷ 49,989 subscribers
Avg views / post
12,400
12 posts measured
Reaction rate
1.82%
reactions ÷ views · ER floor
Posts in window
12
of 33 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 September 2026
Posts held
33 (22 June 2026 – 6 September 2026)
Views total
148,470
Reactions total
2,706
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Sept 2026, 22:04 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.
What this channel posts
Photos
≈1,020
Videos
≈134
Links
≈1,010
Lifetime counters from Telegram’s own channel header, read 9 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
9,185 reactions across 32 posts, in 6 distinct kinds. The most used accounts for 61.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,599
61.0%
🔥
1,965
21.4%
👍
1,169
12.7%
🤔
232
2.53%
🥰
152
1.65%
🤯
68
0.74%
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 32 of the 33 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 9,185 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 22 June 2026 to 6 September 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
48
across the posts below
Posts paid on
9
of 32 we hold a reading for · 28%
Most on one post
16
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zamesin. 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 33 most recent posts we hold for this entry, published 22 June 2026 to 6 September 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.
Один из комментариев к прошлому посту: «для всего этого нужно много денег».
Вопрос, который хочется задать в ответ: «что тебе даёт твоя правота?»
Мы придумываем истории своей жизни и живём их, не осознавая этого. Или истории живут нас, но это лютейшая кроличья нора, сейчас мы в неё не полезем..
Вы можете прожить жизнь из установки «для всего классного в жизни нужны деньги, а у меня их нет и чтобы я ни делал — их б…
Настоящее богатство
В этом году мне исполнится 40 лет.
Хоть я в сознание пришёл всего десять-двенадцать лет назад, что-то я успел за это короткое время понять. Например, что настоящее богатство это не миллионы долларов на счету, а нечто другое. Написать этот список меня вдохновил этот пост.
На мой взгляд, настоящее богатство это:
1. Дом полный любви
2. Здоровое и сильное тело
3. Возможность делать то что хочешь ко…
ДВЕ ЖИЗНИ
Я невероятно благодарен своему психотерапевту за то, что она шесть лет назад порекомендовала мне прочитать Две Жизни Конкордии Антаровой.
Это не просто книги, это процесс духовного роста, через который я иду уже несколько лет.
Эти книги могут не пустить. Сопротивление может быть сильным и приходить в разных формах, в том числе в обесценивании книг.
Первую книгу я начал читать и бросил на два года. За эт…
Анонс нового курса «Как Делать Продукт 2.0»
Я восемь лет мечтал создать методологию, которая даёт пошаговые алгоритмы решения бизнес-задач.
Создал.
Next Move Theory — методология, которая даёт пошаговые алгоритмы для любых бизнес-задач. Она позволяет видеть ВСЕ тактические и стратегические ходы и выбирать наилучшие, кардинально увеличивая вероятность успеха.
В её основе лежат:
• Advanced Jobs To Be Done — полност…
Инсайты про освоение английского и про американскую культуру
Я последние полгода довольно много говорю и выступаю со своими методологиями на английском. Оказывается, это вообще не больно, даже прикольно. Ключевые инсайты:
1. Всем пофиг на ваш "май инглиш из бед"
2. Ваш инглиш из бед может вам мешать в двух случаях: когда вы реально двух слов не можете сказать или когда вам нечего сказать. Если вы приносите ценност…
Конкурс на бренд-дизайн Школы Вани Замесина
Мы быстро растём: методология Next Move Theory становится мощнее с каждым днём и помогает продактам строить эффективные стратегии для бизнеса, растить прибыль бизнеса, растиль личный доход и развивать карьеру.
В Школе мы создаём новый стандарт управления продуктами и делаем это человечно и с теплом. Но сейчас визуальный язык Школы не соответствует нашему образу и мощи мет…
Что делать продактам когда все стали продактами?
Агенты ускорили продуктовую работу в разы. Теперь продакт это И one man army, который может в одиночку создать и растить сложный продукт И стратег, который принимает высокоуровневые решения про продукт с высокой точностью.
Продакты теперь вынуждены шарить за стратегию и принимать стратегические решения, которые позволяют отстроиться от конкурентов, получить нечестные…
BB — лучший способ работать с агентами для вайбкодящих менеджеров
Я абсолютно всё делаю с агентами: делаю продукты, разрабатываю методологию, пишу сценарии воркшопов, код, документы.
Раньше я работал в VSCode с Claude Code / Codex в терминалах [CLI], но это не очень удобно потому что просмотр .md файлов в VSCode сделан через жопу, менеджерить кучу окошек терминала и vscode — дроч.
Попробовал BB — и это мечта:
• по…
Расскажу как мы навайбкодили школу
Четыре года назад я начал разработку Learning Management System для курса «Как делать продукт». Я потратил несколько миллионов рублей и через полгода получил нечто, что очень плохо работало, постоянно ломалось и что невозможно было развивать.
За три месяца моя команда навайбкодила новую офигенную лмску, систему аналитики маркетинга, CRM'ку, новый сайт, Zamesin Information System […
Сердце и мудрость управления людьми
Лично моя боль, что огромное количество людей, которые отвечают за ключевые части бизнеса, не очень компетентны это делать.
У меня большая насмотренность на различные бизнесы и я за свою карьеру видел оооочень мало сильных, умных, компетентных, эмпатичных руководителей. По моим наблюдениям, большая часть руководителей не проходили обучение как быть классными руководителями. И неб…
❤116🔥30🥰13🤔3
Signed Ivan Zamesin
Showing the 12 most recent of 33 posts we hold for @zamesin. 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.
Posts edited after publishing
@zamesin edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
18 August 2026
Most recent edit
6 September 2026
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 40 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 25 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Продакты не нужны @betternotworse · 28,578 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 9 September 2026
Daily Reminder @justakindreminder · 36,730 Telegram ranks this channel #1 of 98 here — alongside 97 others — read 1 September 2026
No Flame No Game @proproduct · 38,896 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 31 August 2026
Мастриды @mustreads · 45,220 Telegram ranks this channel #1 of 98 here — alongside 97 others — read 27 August 2026
Соколова наизнанку @naiznankuo · 58,344 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 23 August 2026
GoPractice! @gopractice · 29,071 Telegram ranks this channel #2 of 97 here — alongside 96 others — read 9 September 2026
Максим Спиридонов @mspiridonov · 66,190 Telegram ranks this channel #3 of 98 here — alongside 97 others — read 21 August 2026
kyrillic @kyrillic · 61,063 Telegram ranks this channel #9 of 96 here — alongside 95 others — read 22 August 2026
Без aspera @bezaspera · 72,272 Telegram ranks this channel #9 of 98 here — alongside 97 others — read 20 August 2026
The Edinorog 🦄 @Theedinorogblog · 42,325 Telegram ranks this channel #10 of 97 here — alongside 96 others — read 29 August 2026
Dasha’s notes | люди и смыслы @technohumanist · 37,668 Telegram ranks this channel #11 of 95 here — alongside 94 others — read 1 September 2026
TechSparks @techsparks · 46,487 Telegram ranks this channel #11 of 97 here — alongside 96 others — read 27 August 2026
Стартап дня. Александр Горный. @startupoftheday · 59,792 Telegram ranks this channel #11 of 97 here — alongside 96 others — read 22 August 2026
Упал, поднялся — блог Славы Рюмина @ruminblog · 62,416 Telegram ranks this channel #11 of 97 here — alongside 96 others — read 22 August 2026
Дашич, беги🚀 @dashich_begi · 37,115 Telegram ranks this channel #12 of 96 here — alongside 95 others — read 1 September 2026
Катерина Ленгольд @Katerinalengold · 71,586 Telegram ranks this channel #12 of 94 here — alongside 93 others — read 20 August 2026
RationalAnswer | Павел Комаровский @RationalAnswer · 107,194 Telegram ranks this channel #12 of 98 here — alongside 97 others — read 15 August 2026
Дизраптор @disruptors_official · 72,429 Telegram ranks this channel #13 of 97 here — alongside 96 others — read 20 August 2026
Карьера в топ от Анны Знаменской @annaznamenskaya · 30,948 Telegram ranks this channel #14 of 98 here — alongside 97 others — read 6 September 2026
AgileFluent: карьера без границ @agilefluent · 45,127 Telegram ranks this channel #14 of 95 here — alongside 94 others — read 28 August 2026
Mikhail Tokovinin @mtokovinin · 108,001 Telegram ranks this channel #15 of 97 here — alongside 96 others — read 15 August 2026
запуск завтра @ctodaily · 33,614 Telegram ranks this channel #17 of 96 here — alongside 95 others — read 4 September 2026
Ряды Фурье @Fourier_series · 41,918 Telegram ranks this channel #18 of 93 here — alongside 92 others — read 29 August 2026
Тёмная сторона / Темнографика @temno · 79,898 Telegram ranks this channel #18 of 99 here — alongside 98 others — read 18 August 2026
This channel appears in 85 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Ваня Замесин” (@zamesin), 49,989 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/zamesin.
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.