Продюсер запусков инфопродуктов, христианин, инфлюенсер
Из запусков на ~1млн до работы с топ-экспертами в твердых нишах с партнерами общим оборотом запусков 500+ млн
Подробнее о моем подходе и клубе для продюсеров в закрепе. Лс @borluz
Created
Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
2 measurements spanning 1 day. 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 142–144 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 21:46
143
no change
7 Aug 2026, 13:55
143
first reading
Engagement
18 posts held, back to 12 November 2025 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 29 March 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
609
Videos
301
Links
24
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
30s
Average length
10s
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
330 reactions across 18 posts, in 22 distinct kinds. The most used accounts for 20.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
68
20.6%
🔥
67
20.3%
🏆
50
15.2%
😍
27
8.18%
custom 5194966693465571079
16
4.85%
💯
16
4.85%
custom 5472030678633684592
13
3.94%
🤯
13
3.94%
🤣
9
2.73%
custom 5325700451369238813
8
2.42%
💔
8
2.42%
custom 5278269826144421942
7
2.12%
custom 5219762737961261171
6
1.82%
custom 5224607267797606837
4
1.21%
custom 5226686143638034525
4
1.21%
👨💻
4
1.21%
😎
3
0.909%
custom 5195114985801398949
2
0.606%
custom 5447367563375824463
2
0.606%
custom 5287269586515812254
1
0.303%
2 further kinds
2
0.606%
Custom emoji. 10 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 18 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 330reactions 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 12 November 2025 to 29 March 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
18
across the posts below
Posts paid on
8
of 18 we hold a reading for · 44%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @luzhetskyyy. 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 12 November 2025 to 29 March 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.
Пост для продюсеров, кому надоело запускать обучения
Я уже за последние несколько месяцев ни один раз слышал от топов рынка, что они переходят с классической модели запусков на какую-то «афиллейт модель»
Тк это в разы эффективнее, проще и менее запарнее. Но не предавал этому особого значения - зачем если привычные запуски итак работают?
Недавно пообщался с Пашей Рыбкиным (которого вы все давно знаете) и узнал что …
Мой шок в шоке
Вам что-то говорит цифра 0.00000001212% ?
А на самом деле это есть вы - отношение одного человека ко всему человечеству на земле
Кажется что мы имеем такую большую значимость в этом мире, а мы всего лишь такая жалкая цифра
Это же вообще ничто! Посмотрев на эту цифру своим приземленным человеческим взглядом иначе и не сказать
И представьте какую огромную значимость, при такой фактически незначитель…
Чай как инвестиция
Можно взять чайник с крепким насыщенным чаем и проливать его до 5-6 раз
А можно взять кофе, выпить раз и забыть. За ту же цену
Тк рынок продал образ что кофе бодрит и дает силу, в моменте. Но сравнив с чаем, кпд там будет в разы ниже
Вот так и в жизни - можно купить красивую картинку которую тебе продали, а можно получить результат даже больший, потратив столько же ресурсов, но найдя иной путь
…
Как вы могли понять, это моя первая вышедшая реклама😎
Так что за это можете меня поздравить🥳
А на самом деле и моя искренняя рекомендация, тк человек проверенный и в его экспертизе и результатах я убежден, эфир реально мощный намечается!
Иначе этот пост вы бы и не увидели) всем процветания🌱
Как делать по 2-3 звонка в день с новыми экспертами?
Я давно наблюдаю за каналом своего партнера Паши и, если честно, в полном шоке от его темпа. Он проводит по 2-3 созвона с новыми экспертами, каждый день.
Просто чтобы вы понимали масштаб: суммарный потенциал проектов, с которыми он пообщался за последнюю неделю — около 250 млн и так каждую неделю.
И сейчас в канале у Паши висит пост, где он планирует показать вс…
Showing the 12 most recent of 18 posts we hold for @luzhetskyyy. 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 — 424,335 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.
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Борис Лужецкий” (@luzhetskyyy), 143 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/luzhetskyyy.
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.
