Telegram RegisterThe public register of Telegram

Channel

Паша Мосейкин

@moseikin

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

382subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002833074078
TypeChannel
Username@moseikin
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/moseikin

Growth

381382381.56 August 2026 — 381 subscribers6 August 2026 — 381 subscribers13 August 2026 — 382 subscribers6 August 202613 August 2026
3 measurements spanning 7 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 381–382 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 15:36382+1
6 Aug 2026, 20:18381no change
6 Aug 2026, 14:04381first reading

Engagement

9 posts held, back to 19 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
277.5%
avg views ÷ 382 subscribers
Avg views / post
1,060
1 post measured
Reaction rate
1.89%
reactions ÷ views · ER floor
Posts in window
1
of 9 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 17 July 2026
Posts held9 (19 March 202617 July 2026)
Views total1,060
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 20:18 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

275 reactions across 9 posts, in 10 distinct kinds. The most used accounts for 34.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9434.2%
9032.7%
👍4114.9%
155.45%
🙏114.00%
🦄114.00%
❤‍🔥51.82%
🏆41.45%
👏31.09%
🥰10.364%

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 9 of the 9 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 275reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 19 March 2026 to 17 July 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
17
across the posts below
Posts paid on
8
of 9 we hold a reading for · 89%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @moseikin. 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 9 most recent posts we hold for this entry, published 19 March 2026 to 17 July 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

17 Jul 2026, 13:01 UTC≈1,060 views20 reactionsread 6 August 2026
Photo

Кажется, одна из самых дорогих ошибок сегодня — пытаться успеть изучить всё. Каждую неделю появляются новые технологии, инструменты, профессии и целые отрасли. И очень легко попасть в ловушку мысли: «Если я сейчас это не освою, то отстану». Но за последние годы я всё чаще убеждаюсь в обратном. Даже сейчас, когда после десяти лет в EdTech я захожу в новые проекты и индустрии, формально я там новичок. Но каждый раз

👍9🔥7🦄4

6 Jul 2026, 17:21 UTC473 views42 reactions7 Starsread 6 August 2026
Photo

Либо я в свои 20 лет заходил «не в ту дверь», либо за последние 10 лет действительно очень многое изменилось. Недавно выступал на форуме «Лига Созидателей», который полностью организовали… студенты. Больше 300 участников, сильные партнёры, насыщенная программа, классные спикеры. Если бы мне не сказали, кто стоит за форумом, я бы никогда не догадался. А директору форума всего 20 лет (шок). Ребята в 18–20 лет выходя

🔥2410🦄7🥰1

10 Jun 2026, 07:01 UTC556 views21 reactions2 Starsread 6 August 2026
Forwarded from @commercialhardoPhoto

⚡НОВЫЙ ВЫПУСК ЛЮБИМОГО ПОДКАСТА Встречайте: 📹 Павел Мосейкин о том, как построить EdTech-холдинг с нуля | Алишер Фозилов | Подкаст SF Знакомит В новом выпуске Алишер Фозилов общается с Пашей Мосейкиным — предпринимателем, основателем XYZ (крупнейшей школы геймдева в России), бывшим генеральным директором Ultimate Education с выручкой 2,7 млрд ₽. О чём говорим: ❓ Как в 24 года запустить школу и набрать 650 студент

🔥125👍4

2 Jun 2026, 06:49 UTC585 views25 reactions1 Starread 6 August 2026
Forwarded from @OkruhandbrandsPhoto

⚡️ПРЕМЬЕРА: ФЕДОР СОЛОМАТИН х ПАВЕЛ МОСЕЙКИН х ОКРУХ ИНСАЙТ Что происходит с рынком недвижимости в России и Дубае? И почему флиппинг постепенно перестает быть историей про «быстрый ремонт» и лёгкие деньги? В гостях — мои хорошие друзья: Федор Соломатин — владелец Prime, международного агентства элитной недвижимости, основатель XALER. Павел Мосейкин — предприниматель, сооснователь платформы для флипперов Nestetica и

16❤‍🔥5👍4

11 May 2026, 13:15 UTC801 views41 reactions1 Starread 6 August 2026

У меня классные новости, спешу вам рассказать про новый форум 🤘🏻 Я стал амбассадором ТехноНаучного образовательного форума. Да, моё лицо теперь можно увидеть на сайте: ТНФ Почему для меня это важно? Мне кажется, сейчас мы живем в моменте, когда образование, наука и технологии начинают заново соединяться в единую систему. Появляются новые рынки, новые пути сотрудничества, новые международные связи. И в ближайшие г

🔥2287🏆4

27 Apr 2026, 18:21 UTC797 views27 reactions3 Starsread 6 August 2026
Photo

Короче, вышла аналитика GetCourse за 1 квартал 2026 📉 За Q1 2026 рынок сделал 36 млрд ₽. Если темп сохранится, год закроется около 144 млрд. Для контекста: 2024 — 168, 2025 — 158. Минус 14% от пика. То есть рынок сжимается уже второй год подряд, и сейчас это уже видно по цифрам. И главное это уже не сезонность. Это структурный сдвиг. 🌪️ Воронка за год почти вся просела: • Конверсия трафика в лиды упала с 4,3% до

🔥119👍7

6 Apr 2026, 17:05 UTC640 views29 reactions1 Starread 6 August 2026
Photo

На днях участвовал в дискуссии про будущее EdTech, роль государства и то, как ИИ меняет образование. И в какой-то момент поймал себя на мысли: мы очень часто смешиваем в одном разговоре вообще разные вещи. К примеру: - Цифровизация - EdTech - Госплатформы - ИИ - Электронные дневники - Персонализация - Нехватка учителей Все это связано, но это не одно и то же. И пока мы это не разделяем, разговоров про “будущее об

🔥178👏31

21 Mar 2026, 11:25 UTC539 views21 reactions1 Starread 6 August 2026
Photo

Российские компании смотрят на СНГ как на «простой» рынок. Свои, понятные, похожие. Вот только это иллюзия. Недавно меня пригласила консалтинговая компания как эксперта провести аудит крупнейшей школы английского языка в Узбекистане. Офлайн-бизнес, Ташкент. Я согласился — и уехал оттуда с совершенно другой картиной мира. 🥸 Что я увидел: Захожу в офлайн-центр подготовки к IELTS — и думаю, что ошибся адресом. Дизайн

👍165

19 Mar 2026, 13:35 UTC451 views49 reactions1 Starread 6 August 2026
Photo

Всем привет! Врываюсь окончательно и бесповоротно🔥 Начнем с относительно легкой темы: 7 марта мне исполнилось 30 лет Впервые решился на большое празднование - обычно всё тихо, но тут что-то щёлкнуло. (Фото прилагаются 😅) 30 - странная отметка. Не потому что «уже» или «ещё». А потому что последний год я очень много думал об одном вопросе: после пяти лет спринта — что дальше? Пять лет, в которых уместилось многое (С

29🙏117👍1🔥1

Showing the 9 most recent of 9 posts we hold for @moseikin. 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 — 706,886 of 1,340,412entries 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

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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

“Паша Мосейкин” (@moseikin), 382 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/moseikin.

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.