Telegram RegisterThe public register of Telegram

Channel

Книжкова Екосистема 🍃

@BookEcosystem

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,634subscribers

+160 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002242202788
TypeChannel
Username@BookEcosystem
CreatedBetween 1 May 2024 and 31 October 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/BookEcosystem

Growth

6,4636,6346,548.56 August 2026 — 6,474 subscribers7 August 2026 — 6,479 subscribers10 August 2026 — 6,463 subscribers13 August 2026 — 6,634 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +160. 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 6,437–6,660 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 00:246,634+171
10 Aug 2026, 10:126,463-16
7 Aug 2026, 02:406,479+5
6 Aug 2026, 06:196,474first reading

Engagement

28 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.9%
avg views ÷ 6,634 subscribers
Avg views / post
1,060
27 posts measured
Reaction rate
5.94%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 11 August 2026
Posts held28 (4 August 202611 August 2026)
Views total28,518
Reactions total1,695
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:07 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
59s
Average length
15s

Measured directly from 4 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

1,115 reactions across 19 posts, in 22 distinct kinds. The most used accounts for 59.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
65959.1%
🔥20818.7%
❤‍🔥645.74%
🤣494.39%
😢211.88%
💔191.70%
🥰191.70%
👏141.26%
💯90.807%
😍90.807%
🏆80.717%
🤩70.628%
👍60.538%
40.359%
🍓30.269%
💘30.269%
😁30.269%
😱30.269%
20.179%
🌚20.179%
2 further kinds30.269%

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 27 of the 28 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 1,695reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 4 August 2026 to 11 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.

Recent posts

11 Aug 2026, 16:45 UTC577 views58 reactionsread 12 August 2026
Photo

Почала читати «Безсердечного» Елсі Сільвер 🌹 Абзац від якого на душі стало дуже тепло: Вона стала така щаслива, відколи втекла від напружених стосунків у родині й шаленої міської гонитви. Познайомилася з ковбоєм і дрімeнула з ним на захід сонця — і ось вона тут. Моя найкраща подруга. Усміхнена, вся у веснянках, згорнулася клубочком на гойдалці на веранді свого розкішного ранчо, збудованого на замовлення, вікна якого

43💯9💔4🤣2

11 Aug 2026, 12:28 UTC682 views61 reactionsread 12 August 2026
Photo

Що ж, «Скарлет» мені сподобалася навіть на крапельку більше, ніж «Сіндер». Стає краще й краще!🔥 І книжки… товстіші й товстіші😆 Але це цілком логічно, бо побудова «Хронік Місяця» дуже цікава: кожна наступна частина не обнуляє і не відсуває попередню книгу на задній план, а додає нових героїв і сюжетних ліній. Старі персонажі нікуди не зникають, тому світ поступово стає більшим, а історія — об'ємнішою! 🪐 Якщо в перш

45🔥16

11 Aug 2026, 11:16 UTC683 views73 reactionsread 12 August 2026
Photo

У нас з дітьми знову творчий ранок. У них гуашевий, а у мене пастельний 🎨 Купила собі дешеву найпростішу олійну пастель побавитися і згадати творче минуле Згадала. Тепер хочу нормальну дорогущу пастель і олійну, і суху, будь-ласка 😔 коли роздавали економність… я стояла остання в черзі

56🤣13🔥4

11 Aug 2026, 07:25 UTC≈1,930 views66 reactionsread 12 August 2026
Photo

Хочу показати вам дуже естетичну новинку від #книголав. «Пляжна пастка» Елі Брейді — саме той роман, судячи з анотації, який захочеться взяти із собою у відпустку: пляжний будиночок у Флориді, літо, сімейні таємниці та дві сестри, які п’ятнадцять років не бачилися. Звучить як дуже вдале літнє читання про родину, другі шанси, сестринство, трішки романтики і багато сонця🌊☀️ А як вона чудово відкривається! З тим, як н

❤‍🔥3919🔥7🤩1

10 Aug 2026, 18:22 UTC825 views23 reactionsread 12 August 2026
Video message

Video message, posted without a caption

🤣19🌚2🐳2

10 Aug 2026, 16:31 UTC≈2,410 views68 reactionsread 12 August 2026
Photo

Я і мій гриб послухали презентацію книги «Грибних справ підмайстра» чарівної Катерини Корнієнко 🍄 Це було і смішно, і пізнавально, і дуже тепло! Катерина каже, що хоче бути амбасадоркою чумаків в українській літературі, і назвала головну героїню дуже гарним ім’ям своєї прабабусі — Явдохою. А ще, виявляється, назва книги народилася з походу за грибами, під час якого знайшли… один маслюк 🤭 Пані авторка рекомендує п

52🔥8👏4👍3😁1

9 Aug 2026, 21:15 UTC674 views121 reactionsread 10 August 2026
Photo

— А вона шо? А він шо? А вони шо? Давай, перегортай, я цю сторінку дочитала 🤭 Тихої ночі, мої прекрасні люди 🤍

78❤‍🔥22🤣13🥰7😁1

9 Aug 2026, 16:05 UTC852 views76 reactionsread 10 August 2026
Photo

Краса неймовірна! ✨ Раптом би ви не мали серії «Хроніки місяця» Марісси Маєр — зробіть собі чудовий подарунок і підтримайте видавництво Ранок!

58🔥16👏1🥰1

9 Aug 2026, 15:42 UTC793 views33 reactionsread 10 August 2026
Video message

Video message, posted without a caption

🔥20👏54👍3❤‍🔥1

9 Aug 2026, 14:19 UTC794 views53 reactionsread 10 August 2026
Photo

Все. Цьому тегу бути! 🎲 #граємо_ecosystem Балують мене друзі — страшне! 🥺 Наш головний хейтер Дерроу клубу Nebo подарував мені офіційну настільну гру за всесвітом серії «Червоне повстання» Пірса Брауна 😭 Ну це любов! Не менше. Мені здається, у Віталія з Дерроу стосунки за тропом «від ворогів до коханців настілки». Дякую!!! Обожнюю тебе. Я навіть не бачила, що подружка знімає, тому реакцію можна побачити на відео

30🔥13👏4🤩3🤣2😱1

9 Aug 2026, 13:01 UTC742 views51 reactionsread 10 August 2026
Photo

Наш шикарний недільний Silent reading club у Vivat 💚 обожнюю цей клуб Начиталися, насміялися, в ігри награлися — і я ще вирішила себе потішити та купила «Обранку» Алі Гейзелвуд😆 Ніби мені книжок не вистачає! Але пройти повз неї було просто неможливо🤌

33🥰11🔥4🍓3

8 Aug 2026, 19:11 UTC519 views56 reactionsread 8 August 2026
Photo

Вечір з офіційною розмальовкою Гоґворт від Artbooks 🏰і улюбленою совуньою🦉 а ви там що? Читаєте? Відпочиваєте? Діліться⬇

🔥31194😱2

Showing the 12 most recent of 28 posts we hold for @BookEcosystem. 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.

Citation-graph rank

Citation-graph rank — 3,450 of 1,151,006entries 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

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

Named by 4 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.

“Книжкова Екосистема 🍃” (@BookEcosystem), 6,634 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/BookEcosystem.

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.