Channel
@juliashatrovanotes
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
60subscribers
+29 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003380436111 |
|---|---|
| Type | Channel |
| Username | @juliashatrovanotes |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 6 October 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 6 October 2026 |
| On Telegram | t.me/juliashatrovanotes |
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 28 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Oct 2026, 17:40 | 60 | +1 |
| 12 Sept 2026, 23:39 | 59 | +24 |
| 4 Sept 2026, 13:56 | 35 | +4 |
| 11 Aug 2026, 03:16 | 31 | no change |
| 7 Aug 2026, 18:33 | 31 | first reading |
6 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 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 6 posts for this entry, the most recent from 10 August 2026. An engagement rate over an empty window would be a number about nothing.
15 reactions across 6 posts, in 7 distinct kinds. The most used accounts for 26.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5224389031919375823 | 4 | 26.7% | |
| custom 5345892183549435695 | 3 | 20.0% | |
| custom 5319125762677171817 | 2 | 13.3% | |
| custom 5346332344682842420 | 2 | 13.3% | |
| ❤ | 2 | 13.3% | |
| custom 5221935403002515642 | 1 | 6.67% | |
| custom 5278686085784837611 | 1 | 6.67% |
Custom emoji. 6 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 are Telegram’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 6 of the 6 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 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 4 August 2026 to 10 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.
Посмотрела «Гордость и предубеждение»2005года.♥️ Не хочу сравнивать с книгой. Просто скажу, что фильм хороший. Очень красивая актриса сыгравшая Джейн. Поместья безусловно приковывают взгляд. Мистер Дарси все еще мне не нравится😁 #чтопосмотреть
❤2
Начала читать детектив Питера Боланда «Убийства и кексики». Прочитано 19%. Ничего скучнее мне еще не попадалось. Так нудно. Еще и вот это «Неравнодушная Сью», более раздражающего прозвища не встречала. -100 из 5. Не рекомендую. И с удовольствием удаляю из электронных книг. #букток
custom 52243890319193758232
📌Saint-Petersburg
custom 53463323446828424202
Мифы Москвы от издательства @bombora 🇷🇺 Меня с самого детства регулярно возили в Москву, но читая эту книгу я поняла, что ничего толком о столице не знаю. Самыми интересными стали истории об усадьбах, знаменитой библиотеке Ивана Грозного и семи высотках. 🌇 Может быть однажды я захочу углубиться в историю столицы, но сейчас нет. Мне хватило этой книги для знакомства. Я возвращаюсь к своей Северной столице и ее истори…
custom 52243890319193758232custom 53458921835494356951
«Лето в Российской Империи» 🌸 С большим удовольствием прочитала этот сборник летних рассказов.🤩 Лишь 2 автора мне совершенно неблизки. И их произведения не вызвали у меня никакого интереса. Женя Гравис и Тимур Суворкин. Абсолютно не мои авторы. С огромной любовью читала расследования Графа Аверина на Валааме. И неожиданно для себя решила познакомиться поближе с трудами Дарьи Эпштейн и Игоря Евдокимова. Двум другим…
custom 53458921835494356952custom 52786860857848376111
Попросила чат gpt создать обложку книги обо мне на основе наших с них диалогов. Интересно однако получилось. #букток #aiкреатор
custom 53191257626771718172custom 52219354030025156421
Showing the 6 most recent of 6 posts we hold for @juliashatrovanotes. 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.
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.
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 6 October 2026 — this entry's latest reading, not the date you are reading this.
“juliashatrova / notes” (@juliashatrovanotes), 60 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/juliashatrovanotes.
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.