4 measurements spanning 3 days, net -2. 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 2,104–2,107 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 19:21
2,104
-3
8 Aug 2026, 03:12
2,107
+1
7 Aug 2026, 14:47
2,106
no change
7 Aug 2026, 13:45
2,106
first reading
Engagement
10 posts held, back to 15 July 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
19.4%
avg views ÷ 2,104 subscribers
Avg views / post
409
9 posts measured
Reaction rate
5.38%
reactions ÷ views · ER floor
Posts in window
9
of 10 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
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
10 (15 July 2026 – 7 August 2026)
Views total
3,680
Reactions total
198
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 14:47 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.
Reaction mix
230 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 47.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
109
47.4%
🔥
68
29.6%
👍
46
20.0%
🤝
5
2.17%
🤩
2
0.87%
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 10 of the 10 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 230reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 15 July 2026 to 7 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.
Ещё одна работа для ювелира Andrei Eros из LA
Хотела бы сегодня немного обратить внимание на то, что всё больше и больше замечаю, что клиентам важна твоя креативность и предложение разных идей, а если быть точнее, то арт-дирекшен в работе. Нейрослопа сейчас (да и всегда) очень много. И сейчас очевидна тенденция на арт-дирекшен в работе с нейросетями.
Я тоже подтягиваю кое-какие пробелы в знаниях, прохожу 2 новых ку…
Я очень много работаю с ювелирными изделиями и заметила, что нейросети делают камни слишком плоскими. И это сразу выдает ИИ, так как если мы посмотрим на настоящие фото бриллиантов, то увидим многогранность, преломление света и объём.
Вчера правила камни в своей работе и вывела промт, который правит огранку и делает камень реалистичнее:
Using Reference Image 1 as the exact base composition: preserve the ring's came…
У меня случилось сотрудничество с ювелиром из LA, делюсь одной из наших совместных работ 💐🩵
Выше писала про способы поиска клиентов и привлечения внимания, так вот: мы как раз нашли друг друга в соцсетях, и теперь вместе работаем над ювелирными изделиями.
Здесь задача не только в том, чтобы правильно перенести изделие, но и в том, чтобы по сценарию заказчика выстроить сцену и визуал, которые отражают идентичность ж…
Выше я написала про Threads* и хочу познакомить вас со скиллом, который пишет привлекающие хуки, благодаря которым вы сможете получать больше просмотров, комментариев и лайков на посты.
Нашла этот скилл у Силиконового мешка.
Как работает?
Пишете текст своего поста, а скилл переписывает начало в привлекательный хук. Вы согласовываете хук, а потом просите дописать весь текст.
Скилл выше 👆
*деятельность компании Met…
Под прошлым постом спросили, где искать первых клиентов и как определить цену на работу. Разбираю первую часть - про клиентов.
Соцсети как точка входа
Если только начинаете - смотрите сразу на несколько площадок: Pinterest, Threads, Instagram*. Но основной фокус я бы сделала на Threads - именно оттуда пришло моё сотрудничество с крупными брендами и ювелирами. Площадка активно продвигает новые аккаунты, и это даёт хо…
Спасибо, что проголосовали в посте выше! Пока думаю, когда лучше провести созвон, или будет удобнее выложить информацию постами.
Если у вас, кстати, есть вопросы и темы, на которые хотели бы получить ответы — пишите в комментариях.
А сегодня хочу поделиться агентами!
Для чего они нужны? Для ускорения работы, написания более профессиональных промптов и получения более качественных результатов.
Как работают все аген…
Друзья, всем привет!
Появилась мысль сделать небольшую встречу в Телемосте, где смогу ответить на вопросы про ИИ и что сейчас можно делать, чтобы быстро войти в профессию, если вы сейчас в тяжёлом положении. Поговорим про инструменты, про портфолио, про бесплатные площадки — и отвечу на вопросы.
Созвон будет очень домашним, камерным и больше похож на беседу. Если я такое устрою — придёте ли вы?
⤵️Можно ответить ни…
Я знаю, что у многих людей, которые как-либо связаны с маркетплейсами, сейчас тяжёлые и напряжённые дни, многие в шоке. Возможно, этот пост будет полезен всем.
Есть вероятность, что многие люди сейчас могут потерять свои рабочие места (тут больше не про селлеров, а про дизайнеров и менеджеров, которые работали с селлерами). Так вот, одна из профессий и направлений работы, куда вы можете зайти с низким входом — это р…
Напоминание о том, что я работаю не только с ювелирными изделиями и карточками товара, а также с другими нишами и любыми задачами с использованием ИИ.
Некоторые бренды на Lamoda также используют ИИ-моделей со своими товарами. Главная особенность этой площадки в том, что у неё более серьёзные требования к визуалу, и далеко не всех ИИ-моделей пропускает модерация. Важно, чтобы визуал был максимально естественным и реа…
❤19🔥7👍6
Showing the 10 most recent of 10 posts we hold for @an_ch_wb. 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.
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 10 most recent posts we hold, published 15 July 2026 to 7 August 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.
Citation-graph rank
Citation-graph rank — 474,379 of 1,350,102entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Анна | Ai-creator | Дизайнер” (@an_ch_wb), 2,104 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/an_ch_wb.
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.