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Channel

Книжкова Драконка

@Ukrainian_Ironbelly

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,354subscribers

+355 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-1001242036277
TypeChannel
Username@Ukrainian_Ironbelly
DescriptionПро все фантастичне. Книги, арти, письменники✨ Адмінка — @anna_nke Умови реклами: https://telegra.ph/Reklama-u-Knizhkovoi-Drakonki-10-07 Книжкомрії: https://readeat.com/dreambooks/knyzhechky-drakonky Вішліст: https://rewish.io/UBICAA
Created8 July 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/Ukrainian_Ironbelly

Topic

Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 53% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

7,9638,3548,158.56 August 2026 — 7,999 subscribers7 August 2026 — 8,000 subscribers9 August 2026 — 7,992 subscribers13 August 2026 — 7,977 subscribers16 August 2026 — 7,963 subscribers20 August 2026 — 8,253 subscribers24 August 2026 — 8,257 subscribers26 August 2026 — 8,206 subscribers30 August 2026 — 8,179 subscribers2 September 2026 — 8,173 subscribers6 September 2026 — 8,234 subscribers11 September 2026 — 8,229 subscribers14 September 2026 — 8,202 subscribers18 September 2026 — 8,185 subscribers28 September 2026 — 8,143 subscribers6 October 2026 — 8,307 subscribers12 October 2026 — 8,319 subscribers15 October 2026 — 8,346 subscribers19 October 2026 — 8,339 subscribers21 October 2026 — 8,334 subscribers25 October 2026 — 8,316 subscribers27 October 2026 — 8,294 subscribers30 October 2026 — 8,285 subscribers2 November 2026 — 8,273 subscribers5 November 2026 — 8,354 subscribers6 August 20265 November 2026
25 measurements spanning 92 days, net +355. 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 7,904–8,413 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
5 Nov 2026, 23:268,354+81
2 Nov 2026, 21:028,273-12
30 Oct 2026, 11:358,285-9
27 Oct 2026, 19:408,294-22
25 Oct 2026, 00:458,316-18
21 Oct 2026, 19:068,334-5
19 Oct 2026, 00:368,339-7
15 Oct 2026, 14:068,346+27
12 Oct 2026, 20:398,319+12
6 Oct 2026, 01:018,307+164
28 Sept 2026, 08:178,143-42
18 Sept 2026, 18:598,185-17
14 Sept 2026, 16:018,202-27
11 Sept 2026, 01:408,229-5
6 Sept 2026, 03:228,234+61
2 Sept 2026, 01:428,173-6
30 Aug 2026, 02:248,179-27
26 Aug 2026, 18:188,206-51
24 Aug 2026, 04:438,257+4
20 Aug 2026, 05:528,253first reading

Engagement

105 posts held, back to 4 August 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 29 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.2%
avg views ÷ 8,354 subscribers
Avg views / post
1,600
31 posts measured
Reaction rate
2.95%
reactions ÷ views · ER floor
Posts in window
32
of 105 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 6 November 2026
Posts held105 (4 August 2026 – 6 November 2026)
Views total49,746
Reactions total1,467
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 11:31 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

Photos
≈6,490
Videos
≈322
Links
≈3,070

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
3m 48s
Average length
33s

Measured directly from 7 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

4,300 reactions across 97 posts, in 19 distinct kinds. The most used accounts for 69.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,98869.5%
😁4239.84%
😢2836.58%
🔥1673.88%
❤‍🔥1533.56%
👍892.07%
🤯471.09%
🤔340.791%
💅290.674%
💯250.581%
🗿200.465%
👀180.419%
🥰100.233%
🍌50.116%
👎30.07%
💋20.047%
🦄20.047%
🐳10.023%
🤬10.023%

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 103 of the 105 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 4,520 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 105 most recent posts we hold, published 4 August 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 1 of 32 posts held from the last 30 days (3.13%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 20:57 UTC398 views15 reactionsread 7 November 2026
Forwarded from @writewhatyouhearPhoto

ЗАХИСТИ СЕБЕ ВІД ДРОНА! Приєднуюся до збору 24-ї бригади Ціль збору: 1 000 000 грн на наземні станції для зенітних дронів. Це обладнання забезпечує надійний звʼязок та більшу кількість знищених цілей. Моя ціль: 15 000 грн. ПРИЗИ ЗА ДОНАТ (фото усіх лотів докладу в коментарях) За донат, кратний 50 грн — можливість виграти ручну хімічну грілку-грибочок. За донат, кратний 150 грн — можливість виграти пазл на 500 шмат…

❤15

6 Nov 2026, 15:29 UTC711 views29 reactionsread 7 November 2026
Photo

Приїхала новинка від «Жоржа» ❤️ Аґнєшка Галас «Дві карти» — початок циклу темного фентезі (до речі, цикл вже повністю перекладено). І по опису це прям дуже моя історія. Його знайшли у місті над Затокою снів — знесиленого, потріпаного, з пошрамованим обличчям. Бруне Кір — єдине ім’я, яке спливло в уламках пам’яті. Та чи дійсно воно належить йому? Збираючи докупи образи, які з’являються у снах, Бруне намагається прига…

❤29

6 Nov 2026, 15:07 UTC699 views17 reactionsread 7 November 2026
Photo

Збір закрито, дякую всім за допомогу! Всі переможниці вже відгукнулися та чекають свої призи.

❤15👍1🗿1

6 Nov 2026, 11:26 UTC829 views30 reactionsread 7 November 2026
Photo

Нагадаю про збір, вже майже зібрали необхідну суму За донат від 50 гривень маєте шанс виграти один з трьох лотів https://send.monobank.ua/jar/2s2iy4MZ8D

❤30

6 Nov 2026, 09:17 UTC917 views39 reactionsread 7 November 2026
Photo

Я, Крампус, Владар Юлю, син Гель, нащадок великого Локі, клянуся відітнути твій брехливий язик із уст, відрубати твої злодійкуваті руки по самі запʼястки і стяти веселеньку голівоньку з плечей. У Неба передзамовлення на Брома. «Крампус. Владар Юлю» мені з прочитаного у автора сподобався найбільше. Це дуже зимова, похмура історія, що розповідає правду про Санту та його брехливу сутність. А ще про Крампуса, чию сил…

❤39

5 Nov 2026, 21:31 UTC≈1,540 views63 reactionsread 7 November 2026
Photo

Єєєєєє 🤪 Тепер лишилося дожити до квітня. Або ж може РМ вдасться нарешті порішать вапросікі та видати третю книгу👉 🐉 Книжкова Драконка

❤63

4 Nov 2026, 15:25 UTC≈3,490 views172 reactionsread 7 November 2026
Photo

🎁Даруємо химерне фентезі Марлона Джеймса — перші дві книги циклу «Темна зірка»🎁 Для участі: ✨ Підписатися на канали «Жорж» та «Книжкова Драконка» ✨Поділитися дописом з друзями ✨Тицьнути кнопку «Брати участь» Ввечері 12 листопада дізнаємося до кого відправляться книги. Удачі 🍀 Кількість переможців: 1 Дата закінчення: 12.11.2026 19:11

❤142🔥17🥰10👍3

3 Nov 2026, 19:21 UTC≈2,370 views41 reactionsread 7 November 2026
Photo

Оп, призовий фонд поповнився завдяки Владиславу Бондаруку 👀 Тепер 3 лоти — 3 переможця ✨ Роман «Катабазис» Ребекка Кван ✨ Манґа «Туалетний привид Ханако» — 5 томів ✨ Лайт-новела «Психопас» — 2 частини https://send.monobank.ua/jar/2s2iy4MZ8D

❤33❤‍🔥8

3 Nov 2026, 16:43 UTC≈1,650 views42 reactionsread 6 November 2026
Photo

Бачили знижки у Арфи? Можна знайти до -30%, діють до 10 листопада👀 А ще можу запропонувати вам дрібку магії — промокод dragon дає ще -10% на кошик. Для замовлень від 599 грн діє безкоштовна доставка через MEEST. P.s. днями Арфі заблокували Інстаграм, тому вони вимушено переїхали на нову сторінку, підписуйтесь якщо загубили в стрічці. 🐉 Книжкова Драконка

❤34🔥8

3 Nov 2026, 14:23 UTC≈1,020 views51 reactionsread 6 November 2026
Photo

Щось у мене забагато надгризаних, але так і не дочитаних книг, дещо тягнеться ще з початку 2025, тому листопад буде місяцем дочитування. 🐉 Книжкова Драконка

❤47💅3🍌1

Showing the 12 most recent of 105 posts we hold for @Ukrainian_Ironbelly. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Настрій читати Vivat 💚
@vivat_publishing · 35,758
5 posts
Хроніки ARTBOOKS💙
@artbooks_ua · 13,396
2 posts
шалений супротив книжної спільноти🏳‍🌈
@bookofmany · 251
2 posts
Видавництво «Видавництво»
@vydavnytstvo · 7,664
2 posts
Хроніки Амбер
@amber_paniko · 5,897
1 post
у безхвостої відьми
@bezkhvosta_books · 7,069
1 post
Видавництво Богдан
@bohdan_books · 9,898
1 post
книжковий прихисток
@bookrefuge · 1,311
1 post
Фортеця Самотності
@comicsfortress · 104
1 post
cozy books and tea
@cozybooksandtea · 939
1 post
Альманах фантастики "Das ist fantastisch!"
@df_journal · 6,191
1 post
Вогняний (вірші)
@fierypoems · 78
1 post
Нотатки на марґінесах ✨ Письменниця Ольга-Марія Гнип
@hnyp_writer · 368
1 post
ikki_gai
@ikki_gai · 2
1 post
in book we trust
@inbookwetrust · 13,409
1 post
La Nausée
@lanause · 220
1 post
Мацуга, шо читати?
@matsuga_reads · 6,469
1 post
Макс читає?!
@maxchytaye · 3,005
1 post
🍵Чай з м'ятою🍵
@mintitea · 153
1 post
Nebo BookLab Publishing
@nebobooks · 17,894
1 post
потужний канал
@nikojpeg · 21
1 post
Несерйозна культура
@non_serious_culture · 215
1 post
Коли ми говоримо про книжки
@okbookclub · 7,463
1 post
one more chapter
@one_more_chapterr · 2,955
1 post
мегагандон
@pandwibskalma · 62
1 post
pink leopard
@pinkleopard1 · 203
1 post
Pixie Dust
@pksdst · 69
1 post
Запекла книгожерка
@sashas_reads · 10,152
1 post
спочатку було слово
@spochatku_slovo · 132
1 post
На роздоріжжі історій | Юлія Нагорнюк
@storiesbyyulia · 4,183
1 post
Трушний книголюб
@trushnyi · 1,835
1 post
ЦЕ НІХТО НЕ БУДЕ ЧИТАТИ
@tse_nihto_ne_bude_chytaty · 808
1 post
UAGeek 🤓
@ua_geek · 4,168
1 post
📚ВРАЖЕННЯ UA
@vrajennya · 9,306
1 post
Щоб не плакать, я писала
@vybachteyaplachu · 103
1 post
Катарсис Вейт ✧
@whaityy · 91
1 post
Наталя, без «і», м’якого знаку та апострофа
@without_i_and_apostrophe · 347
1 post
Світ книг
@wobua · 16,923
1 post
Writer's blade ··· Валерії Вести
@writersblade · 1,526
1 post
Пиши як чуєш 🍄‍🟫 Катерина Корнієнко
@writewhatyouhear · 845
1 post

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 19 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

📚 Ранок Букера
@RanokBukera · 21,281
Telegram ranks this channel #10 of 70 here — alongside 69 others — read 11 September 2026
Книги українською 📚 Бібліотека • Аудіокниги
@knizhkyua · 46,008
Telegram ranks this channel #14 of 73 here — alongside 72 others — read 27 August 2026
📚 Непозбувний книгочитун
@npzbvnkngchtn · 36,928
Telegram ranks this channel #15 of 70 here — alongside 69 others — read 1 September 2026
Настрій читати Vivat 💚
@vivat_publishing · 35,758
Telegram ranks this channel #19 of 64 here — alongside 63 others — read 2 September 2026
Книги | Література | Саморозвиток Українською
@librarybooksua · 35,006
Telegram ranks this channel #31 of 56 here — alongside 55 others — read 4 September 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Книжкова Драконка” (@Ukrainian_Ironbelly), 8,354 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/Ukrainian_Ironbelly.

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.