3 measurements spanning 15 days, net -3. 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 926–929 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 11:13
926
-3
7 Aug 2026, 09:17
929
no change
7 Aug 2026, 08:48
929
first reading
Engagement
8 posts held, back to 16 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
27.0%
avg views ÷ 926 subscribers
Avg views / post
250
4 posts measured
Reaction rate
7.91%
reactions ÷ views · ER floor
Posts in window
4
of 8 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 1 August 2026
Posts held
8 (16 June 2026 – 1 August 2026)
Views total
999
Reactions total
79
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 09:17 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
163 reactions across 8 posts, in 11 distinct kinds. The most used accounts for 39.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
64
39.3%
❤🔥
36
22.1%
💯
19
11.7%
❤
15
9.20%
custom 5470023571696804916
14
8.59%
👏
7
4.29%
custom 5469647165057950621
3
1.84%
🤩
2
1.23%
custom 5469965211681185942
1
0.613%
⚡
1
0.613%
🎉
1
0.613%
Custom emoji. 3 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 8 of the 8 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 163reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 16 June 2026 to 1 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
74
across the posts below
Posts paid on
8
of 8 we hold a reading for · 100%
Most on one post
15
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @project_F_Lounge. 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 8 most recent posts we hold for this entry, published 16 June 2026 to 1 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.
Команда всегда чувствует собственника.
Даже если ты молчишь.
Даже если улыбаешься.
Даже если делаешь вид, что всё нормально.
Если внутри паника - люди это считывают.
Если ты сам не веришь в проект - команда это чувствует.
Если ты раздражён, но не говоришь почему - начинается напряжение.
Если ты устал и уже ненавидишь всё вокруг - это тоже разлетается по людям.
Руководитель - это не просто человек, который ставит з…
🔥 Начали работу над новым Flacon
Пока основное внимание последние недели было на запуске кинотеатра, параллельно мы не ставили на паузу остальные проекты.
И вот теперь можно немного приоткрыть завесу по новому Flacon. 🥹
Мы уже проработали дизайн-проект.
Сейчас запускаем всю проектную часть, инженерку, расчёты, согласования и всё то, что обычно скрыто от глаз, но без чего потом ничего не работает.
Очень надеемся, ч…
Последнее время встречаюсь с молодыми, горячими ребятами, у которых полной супер прорывных/разрывных/трусоотлетательных идей. Ребят, для вас этот небольшой пост.
Помните, что бизнес начинается не с идеи, а с ответственности.
Все хотят начать с идеи. 💡
«У меня есть крутая концепция».
«Я придумал новый формат».
«Такого ещё нет на рынке».
«Вот сейчас откроемся и полетит».
Идея - это приятно. 🤤 Она греет голову, рису…
Всем прекрасного воскресенья! 🤗
Почти три недели не писал сюда.
Не потому что пропал, выгорел или решил стать загадочным блогером, который появляется раз в месяц с фразой «скоро всё расскажу»😅
Просто мы были в полях.
Запускали кинотеатр, докручивали процессы, подписывали договоры, собирали структуру, считали, спорили, переделывали, снова считали и пытались не сойти с ума по дороге 😵💫
Сейчас сижу, пью вишнёвый мо…
Четвертый выпуск готов ✅
В этом выпуске покажу наш кинотеатр - проект, который мы строили очень долго, с вниманием к каждой детали. И вот наконец-то он готов 🥺
Получилось, как мне кажется, очень атмосферное место: уютное, красивое и с тем самым ощущением, когда хочется просто зайти, сесть поудобнее и остаться подольше. ❤️
В выпуске немного расскажу, как всё создавалось, что получилось в итоге и почему этот проект …
Ну наконец-то! 🥳
Год стройки, гора испытаний и сложностей, которые мы преодолели всей командой - и вот результат! Мы открыли один большой зал и два маленьких 🥹
Что сейчас?
На следующей неделе запускаем второй зал, а впереди ещё много работы: обновить сайт, доработать меню и настроить системы учета. Но теперь это в радость, ведь мы уже видим ваши улыбки и искренние эмоции!
Что уже готово:
✅ Появилась точка на Янд…
Мысли в день запуска кинотеатра.
Вот честно: я не понимаю, как люди успевают одновременно строить бизнес и стабильно вести все соцсети 😅
Мне иногда кажется, что это возможно только если сам бизнес и построен вокруг этих соцсетей 🤫
Когда у меня запуск проекта, я ухожу в него с головой. Максимальный фокус, тысяча задач, постоянные решения и где-то между всем этим я периодически забываю поесть и поспать 🫢
Я один так…
Третий выпуск готов ✅
С командой снова запилили новый выпуск - рассказываем и показываем наш Flacon на Шелепихе 😅
Мы, кстати, решили продлить этот эксперимент ещё на три выпуска.
Если вам заходит такой формат - поддержите реакцией 🤗
Буду очень рад обратной связи.
Смотреть выпуск:
👉 https://youtu.be/pGzaj-Lhc1Q?si=vrWRcLkq9IuVo2zA
Надеюсь, вам нравится то, что мы делаем. 🍿
Showing the 8 most recent of 8 posts we hold for @project_F_Lounge. 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 — 489,076 of 1,584,733entries 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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“Бизнес изнутри | Flacon Lounge” (@project_F_Lounge), 926 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/project_F_Lounge.
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.