Marketing & affiliate — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 37 days, net -15. 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 571–590 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 04:21
573
-3
5 Sept 2026, 23:37
576
-3
29 Aug 2026, 06:35
579
-5
21 Aug 2026, 07:13
584
-3
14 Aug 2026, 22:23
587
-1
8 Aug 2026, 03:18
588
no change
7 Aug 2026, 18:23
588
first reading
Engagement
17 posts held, back to 22 October 2024 — 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 17 posts for this entry, the most recent from 6 February 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
373 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 47.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
177
47.5%
👍
84
22.5%
custom 5451613288871769998
55
14.7%
🔥
24
6.43%
🥰
14
3.75%
🦄
6
1.61%
❤🔥
5
1.34%
💘
5
1.34%
🍓
2
0.536%
💅
1
0.268%
Custom emoji. One row above is a 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 count beside it is 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 15 of the 17 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 373 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 22 October 2024 to 6 February 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
25
across the posts below
Posts paid on
1
of 17 we hold a reading for · 6%
Most on one post
25
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @luchnica_tg. 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 17 most recent posts we hold for this entry, published 22 October 2024 to 6 February 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.
Неделю спустя, я нашла золото.
А если быть точнее хороший ЖЦА канал со взрослой аудиторией.
Мой выбор пал на гороскопы, тк у меня уже был положительный опыт в работе с этим тематом.
Мне предстоит выстроить работу правильно, чтобы канал рос, а с ним мои доходы. 💸
Сейчас я полностью включаюсь в работу, поэтому здесь я буду делиться своими успехами и мыслями по поводу своей деятельности.
Всем привет! 👋🏼
Окончила работу по предыдущим проектам и в связи с появлением свободного времени готова взяться за работу закупщика/менеджера/контенщика.
Пишите в лс: @luchnica_content
Всем хороших выходных! 🫶🏼
Спустя час мне написали в личку, с просьбой закупить рекламу.
Недавно окончила работу над каналом. Поэтому делюсь кейсом.
Канал: Ого Туры
Тематика: Тревел
Бюджет: 200,000₽
Цена за заявку: 35₽
Рыночная цена: 30-40₽
Пост был небайтовый и закупала исключительно во взрослой ЦА.
Владелец новичок в тг, поэтому я помогала на всех этапах, отвечала на вопросы, вела всю отчетность, чтобы наглядно было видно куда шёл бю…
Всем привет! Я возвращаюсь в работу.
Готова устроиться менеджером/закупщиком/контентщиком в ваши каналы
Работаю на высочайшем уровне за адекватную цену: @luchnica_content
Где контент?
Этот вопрос прилетает периодически мне в личку.
Ответ прост, после отличных заработков в телеге я решила отдохнуть и побыть просто чилловой девчонкой. 😔
Жизнь без какого – то движа мне наскучила быстро и я решила попробовать себя в чем – то новом.
С детства я занималась спортом и не помню недели, когда его не было в моей жизни.
В моменте решила, почему бы мне не попробовать себя в новой профессии —…
Каждый второй создаёт курсы, с уверенностью заявляя: «Заплати — и узнаешь как надо». Не за%бало?))
Именно с такой идеей группа энтузиастов создала «ОХВАТ» — канал, где эксперты рассказывают о неочевидных фишках продвижения, проводят стримы с акулами рынка и формируют сообщество, где новички черпают полезную информацию, а опытные ребята находят себе новые кейсы в портфолио.
Предупреждаем, после вступления в «ОХВАТ» …
Продам сеть каналов с стабильным охватом (давно без закупов), 4к за 24ч
I’m Miracle
Я стройная?
Прекрасная Ты
FIZZY GIRLS
messy girls
k beauty
Жду вас в личке 🤝, отдаю по низу рынка: @goroskopnikov
Сегодня хочу поделится своими впечатлениями и мыслями по поводу работы в тг.
Хоть на рынке телеграм я не очень давно, но смогла добиться отличных результатов.
Эта та платформа, куда можно залететь с 0 в кармане и выйти на хороший заработок.
Для себя я подметила, что работа здесь — это полезное хобби.
Ты находишь новые знакомства, развиваешь навыки коммуникации и получаешь за свои достижения кэш.
В начале пути бы…
Этот пост должен был выйти еще пару недель назад…
Но осенняя хандра никого не щадит и только сейчас хватило мотивации дописать.
Хочу поделиться с вами, куда я вложила свои заработанные мани. Был соблазн просто прокайфофать на эти деньги, но нужно думать на перспективу.
И так, за две недели вместе с Гигантом мы сколотили небольшую сетку молодой ЖЦА 👇
I’m Miracle
Я стройная?
Прекрасная Ты
FIZZY GIRLS
messy girls
К…
❤7👍5🔥3
Showing the 12 most recent of 17 posts we hold for @luchnica_tg. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 17 most recent posts we hold, published 22 October 2024 to 6 February 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@luchnica_tg named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@messy_girls named in 2 posts, 9 August 2026 – 9 August 2026
@gorobud named in 1 post, 9 August 2026 – 9 August 2026
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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“Соня, которая Лучница” (@luchnica_tg), 573 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/luchnica_tg.
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.