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 99% 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 why it has no browse page of its own yet.
Growth
7 measurements spanning 20 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 6,740–6,753 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 21:36
6,748
+4
12 Sept 2026, 18:39
6,744
+1
8 Sept 2026, 23:19
6,743
+2
4 Sept 2026, 02:38
6,741
-5
31 Aug 2026, 19:38
6,746
-5
28 Aug 2026, 22:03
6,751
no change
28 Aug 2026, 09:30
6,751
first reading
Engagement
14 posts held, back to 8 March 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 20 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
27s
Average length
14s
Measured directly from 2 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
2,077 reactions across 14 posts, in 20 distinct kinds. The most used accounts for 50.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
1,049
50.5%
❤
622
29.9%
🔥
181
8.71%
💘
52
2.50%
💋
51
2.46%
🥰
24
1.16%
😍
23
1.11%
🤣
15
0.722%
😘
12
0.578%
😁
10
0.481%
🍓
8
0.385%
🍌
7
0.337%
🎄
5
0.241%
☃
4
0.193%
⚡
4
0.193%
👍
3
0.144%
🤔
3
0.144%
💯
2
0.096%
👏
1
0.048%
😈
1
0.048%
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 14 of the 14 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 2,077 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 8 March 2025 to 20 April 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
7
across the posts below
Posts paid on
6
of 14 we hold a reading for · 43%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bookswithlovefromgg. 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 14 most recent posts we hold for this entry, published 8 March 2025 to 20 April 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.
Девочки, все, кто ждал переводы «Академии Тринити» и «Наследников» от Мишель Херд можете найти под этим постом 🤍
[Ссылка]
Долго решалась на этот пост, но поехали.
Я долго молчала. И было бы нечестно вернуться, сделав вид, что ничего не изменилось.
Этот канал появился ещё в школе. Вместе с ним я взрослела, заканчивала универ, вышла на работу. Даже выяснила, что умею гадать на таро 😂 Мы оба изменились — и я, и то, че…
Что если ты не та, кем притворяешься?
новое имя
новая жизнь
и одна цель — раскрыть правду
⭐dark academia
⭐от ненависти до любви
⭐тайная личность
⭐убийство
⭐вынужденная близость
сегодня–завтра вы узнаете её историю 🖤🌹
✏️— Ты — всё, о чём я думаю, —
признаётся он, и его обжигающий взгляд возвращается к моему. — Я не могу выбросить тебя из головы, и это, блять, мешает всему, что я пытаюсь делать. Каждому решению, которое принимаю. Ты, черт возьми, преследуешь мои мысли, Каролина.✏️
Каролина и Уэст
❌❌❌❌❌❌❌❌❌ 💗
Книга: Я всегда буду с тобой by Моника Мерфи
Серия: Семья Ланкастеров #4
❌❌❌❌
❌❌ 🐻 Кри & Офелия 🐻
🔤Я никогда не думала, что встречу любовь, подобную той, о которой читала на страницах своих любимых книг. И всё же она существует.🔤
Книга: Хорошие парни не врут
Автор: Микалея Смелтцер
Серия: Парни (4 книга в серии)
❌❌❌В процессе ❤️
Я здесь. Потихоньку возвращаюсь 🤩
Канал долго был на паузе, но книги и переводы всё это время были со мной и они никуда не исчезнут.
Хочется развивать канал дальше, уже чуть иначе, но с той же любовью к текстам.
Спасибо всем, кто остался 🌟
Продолжаем 💔
С наступающим Новым годом ✨
Пусть 2026 год будет как любимая книга — с красивым началом, неожиданными поворотами и финалом, в котором всё наконец встаёт на свои места.
Спасибо, что вы здесь, что читаете и чувствуете, даже когда здесь бывает тихо. Я правда верю, что впереди у нас ещё много строк, которые мы проживём вместе 🤍
Это что за идеальный вайб Рен и Крю Ланкастеров из Миллион поцелуев в твоей жизни от Моники Мерфи
Или коротко о том, чем вдохновилась Уиллоу Ланкастер (их дочь)
❌❌ 💋 Уиллоу и Ретт 💋
— В последнее время я мысленно зову тебя принцессой.
— Ты думаешь обо мне? — в её голосе слышится удивление.
— Я думаю о тебе всё грёбаное время.
❣️Все мои поцелуи для тебя by Моника Мерфи
❤🔥85❤35🥰16💘6🍌2
Showing the 12 most recent of 14 posts we hold for @bookswithlovefromgg. 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.
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.
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.
♡ книжный шкаф ♡ @lilybookcase · 30,943 Telegram ranks this channel #3 of 57 here — alongside 56 others — read 6 September 2026
Лиза Лазаревская @lazarrevskaya · 26,427 Telegram ranks this channel #9 of 53 here — alongside 52 others — read 12 September 2026
dramabooks @dreambooksssss · 23,199 Telegram ranks this channel #12 of 54 here — alongside 53 others — read 19 September 2026
Bookssloover @bookssloveer · 30,202 Telegram ranks this channel #14 of 62 here — alongside 61 others — read 7 September 2026
𝒓𝒊𝒏𝒂.𝒃𝒐𝒐𝒌𝒔 💚 @hinabooks · 29,931 Telegram ranks this channel #18 of 57 here — alongside 56 others — read 8 September 2026
cmolerwbook @cmolerwbookk · 56,690 Telegram ranks this channel #20 of 58 here — alongside 57 others — read 28 August 2026
📚 Любовные романы @newlovebooks · 43,838 Telegram ranks this channel #21 of 54 here — alongside 53 others — read 28 August 2026
𝓂𝓊𝓇𝓇𝒷𝑜𝑜𝓀𝓈 ᥫ᭡ @murrbooks · 45,255 Telegram ranks this channel #33 of 65 here — alongside 64 others — read 28 August 2026
This channel appears in 8 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Книжная сплетница 💋” (@bookswithlovefromgg), 6,748 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/bookswithlovefromgg.
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.