4 measurements spanning 7 days, net -4. 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 1,534–1,544 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 19:14
1,539
+4
11 Aug 2026, 04:21
1,535
-8
7 Aug 2026, 21:33
1,543
no change
7 Aug 2026, 15:42
1,543
first reading
Engagement
17 posts held, back to 6 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.
ERR · 30 days
34.4%
avg views ÷ 1,539 subscribers
Avg views / post
530
4 posts measured
Reaction rate
3.54%
reactions ÷ views · ER floor
Posts in window
4
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 5 August 2026
Posts held
17 (6 November 2025 – 5 August 2026)
Views total
2,119
Reactions total
75
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 21:33 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
Video runtime
21s
Average length
21s
Measured directly from 1 video 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
464 reactions across 17 posts, in 21 distinct kinds. The most used accounts for 34.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
158
34.1%
🔥
89
19.2%
😁
69
14.9%
👍
32
6.90%
💔
29
6.25%
💯
20
4.31%
😍
17
3.66%
😢
11
2.37%
🙏
9
1.94%
🤔
7
1.51%
❤🔥
5
1.08%
🤩
4
0.862%
👎
3
0.647%
⚡
2
0.431%
👀
2
0.431%
👏
2
0.431%
custom 5352807720846108275
1
0.216%
🖕
1
0.216%
😱
1
0.216%
🤝
1
0.216%
1 further kind
1
0.216%
Custom emoji. One row above is a 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 count beside it isTelegram’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 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 464reactions 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 6 November 2025 to 5 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
31
across the posts below
Posts paid on
8
of 17 we hold a reading for · 47%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @marcheva_strategy. 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 6 November 2025 to 5 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.
Для тех, кто хотел "войти в ИТ" )))
В Mars есть программа Curiosity для тех, кто хочет начать свою карьеру в ИТ.
За 2 года можно прокачаться и вырасти в серьезного уважаемого человека. Программа работает на все бизнес направления, а в этом году стартует в Digital. Есть шанс попасть в команду к Сереже @SergeyADavydov, СDTO Mars, и поработать на нескольких ролях, включая менеджера продукта.
Стартует это всё с 170 gross…
Было бы классно, если Циан/Авито/Яндекс/любой классифайд недвижимости сделали поиск квартир/домов по фото: набираешь себе мудборд того, что хочется, закидываешь в сервис, и он тебе по фото подбирает похожие фотографии.
Сэкономит кучу времени и сил. Я бы за такое заплатила.
Может, где-то уже такое есть, а я не в курсе? Напишите в комментарии, если где-то уже видели такое
Кто завтра собирается на #летобезвотэтоговотвсего?
Лето, березки, любимая айтишная тусовка. Классная возможность и с семьей время провести, обогатить свой нетворк и про интересное профессиональное послушать.
Не на правах рекламы, а на правах моей искренней рекомендации, люблю ходить в гости к Сереже 🙃
Как и в прошлый раз все вырученные средства от билетов пойдут на поддержку приюта Vetland Adoption для собак и ко…
«Фабрика юникорнов»
На днях увидела интересную инфографику у Ильи Стребулаева - 71% всех новых юникорнов с 2020 по 2025 приходится на США и Китай.
При чем 45% - США.
Но сравнивать абсолютные числа - это всё равно что сравнивать ВВП США и Эстонии, не нормируя на масштаб. Если считать юникорны на 1 млн населения, картина радикально меняется, в топ выходят: Израиль, Сингапур, Швеция, Швейцария.
Можно сделать вывод, ч…
Не могу не поделиться!
Моей дочке 1 год и 2 месяца. И вы не поверите, какое первое сложное слово она начала говорить (помимо простых - мама, папа, нана и прочих) 🙈
Алиса! 💜😁
Идиот в бизнес-школе
Это я про книгу Федора Михайловича Достоевского )) а вы про что подумали?
В школе я ответственно читала всё, что нам задавали по литературе. Проблема была только в том, что я не очень понимала суть этих книг. Формально сюжет был понятен, но я не могла почувствовать искреннюю сопричастность к этим героям и ситуациям. Поэтому читать я не любила. Надо было делать, я делала.
И с каким же кайфом я …
Темные дни и заглавная буква «Л»
Такие дни случаются у всех. В свои темные дни, я вспоминаю один из самых тяжелых периодов своей жизни - почти 8 лет назад ушла из жизни моя мама. Она уходила долго, почти 8 месяцев, у нее был рак.
Поначалу мы ездили в самые лучшие клиники. Но от нас отказывались все врачи, мама уже не могла ходить сама. В какой-то момент мы с папой решили, что больше не будем ее мучить и возить по в…
Чем заняться в воскресенье?
Конечно, поговорить еще немного о работе 😅
Спасибо @ZhannaKruglova, за то, что пригласила и собрала такой классный состав руководителей из топовых ИТ-компаний. Даже видос классный сделала.
Я в первый раз была на формате мастермайнда: 3-4 часа, в маленькой группе 7–8 человек с похожим или одинаковым управленческим уровнем. Каждый приносит на встречу свой запрос.
Группа по сути проводит э…
Как продать важную идею! Искусство сторителлинга
Летом я прошла курс у Андрея Соколова по сторителлингу, мне ужасно понравилось. И я захотела записать с Андреем подкаст, чтобы он поделилися своими знаниями на широкую аудиторию.
Мне кажется, что для C-level, CPO, CEO и любого, кто часто взаимодействует с другими людьми, умение общаться и правильно доносить свои мысли - это must.
А еще мы с Андреем приумали для вас…
Еще попался интересный рейтинг «не технических» книг об ИИ. Если вам интересна тема ИИ, то начать можно с этого списка
❤3🖕1😱1
Showing the 12 most recent of 17 posts we hold for @marcheva_strategy. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@marcheva_strategy named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@fatikhegamediev named in 1 post, 8 August 2026 – 8 August 2026
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Марчева. Стратегия продукта” (@marcheva_strategy), 1,539 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/marcheva_strategy.
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.