Ecommerce storefront — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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
28 measurements spanning 42 days, net -1,103. 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 8,298–11,485 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
18 Sept 2026, 11:57
10,002
-98
16 Sept 2026, 02:42
10,100
-112
14 Sept 2026, 06:19
10,212
-67
12 Sept 2026, 11:38
10,279
+30
10 Sept 2026, 11:39
10,249
+262
5 Sept 2026, 03:57
9,987
-49
3 Sept 2026, 09:28
10,036
-28
2 Sept 2026, 06:03
10,064
-149
1 Sept 2026, 09:06
10,213
+233
29 Aug 2026, 02:04
9,980
-53
28 Aug 2026, 02:03
10,033
-31
27 Aug 2026, 03:43
10,064
-27
26 Aug 2026, 00:52
10,091
-31
24 Aug 2026, 22:46
10,122
-95
23 Aug 2026, 07:26
10,217
+1,551
19 Aug 2026, 20:35
8,666
-1,532
18 Aug 2026, 19:22
10,198
-33
17 Aug 2026, 19:05
10,231
-418
16 Aug 2026, 18:22
10,649
-43
15 Aug 2026, 08:16
10,692
first reading
Engagement
25 posts held, back to 29 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 35 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.7%
avg views ÷ 10,002 subscribers
Avg views / post
1,670
3 posts measured
Reaction rate
3.80%
reactions ÷ views · ER floor
Posts in window
3
of 25 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 27 August 2026
Posts held
25 (29 July 2026 – 27 August 2026)
Views total
5,000
Reactions total
190
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 04:22 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
1,510 reactions across 25 posts, in 12 distinct kinds. The most used accounts for 32.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
494
32.7%
😍
324
21.5%
🔥
293
19.4%
👍
116
7.68%
🥰
116
7.68%
🤗
56
3.71%
🆒
26
1.72%
👏
26
1.72%
🤩
21
1.39%
❤🔥
20
1.32%
👌
9
0.596%
💋
9
0.596%
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 25 of the 25 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 1,510 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 29 July 2026 to 27 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 25 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Goodfindsforchildren. 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 25 most recent posts we hold for this entry, published 29 July 2026 to 27 August 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.
Иногда самое простое — самое приятное.
Гель для душа и дезодорант Mur Mur от Faberlic стали для меня именно такой находкой: нежный сливочно-гурманский аромат, который остаётся на коже лёгким шлейфом. Теперь каждое утро начинается с маленького эстетического удовольствия.
А у вас есть такие «маленькие радости» ?
У меня новый уход за волосами от RUXXI by TEFIA — и я уже в восторге 😍
Взяла сразу целый набор: шампунь и кондиционер из линейки Keratin Repair для восстановления, маску, спрей-текстурайзер с морской солью и крем‑спрей с термозащитой.
Уже чувствую, что волосы стали мягче и послушнее: кератин в составе здорово работает с повреждёнными участками, а комплекс масел и протеинов — наполняет их силой изнутри.
Какой проду…
Сеть кофеен «Шоколадница» и платформа Skillbox запустили крутую коллаборацию🤌
Коллаборация продлится до 10 сентября в кофейнях Москвы, Московской области, Сочи и Казани можно не только зарядиться кофе, но и открыть для себя новые знания!
В меню специальные позиции:
◽кофе‑кола «Зачёт»
◽пирожное «Гранит науки».
При заказе любой из них карта с подарком, промокоды со скидкой до 70 % на лекции Skillbox, а кому‑то повез…
Итальянская кухня — моя настоящая любовь 💗
С мужем вчера поужинали в ресторане Mosca — это как раз то место, куда тянет возвращаться. Здесь всё по-домашнему уютно: светлый, приятный интерьер, щедрые порции с потрясающим вкусом, а персонал встречает так тепло и внимательно, что сразу чувствуешь себя желанным гостем.
Я взяла себе салат с креветками и пиццу , а муж том ям и лазанью. Все было идеально! 😍
🤩Mosca, г. М…
Обожаю обувь Pablosky и Superfit — за их качество, за то, что она служит годами, не теряя вида, за хорошую носку, когда даже после долгих прогулок ноги у моего ребенка не устают 💛
Сейчас на сайте появилась новая коллекция — отличный повод присмотреться к моделям для осенне‑зимнего сезона. А если вы ещё не успели подобрать обувь к школе или садику — самое время это сделать 🍂👟
По моему промокоду Moments15 будет допол…
Осенняя подборочка из sela.home
🤎Плетенная корзина
🤎Набор кухонных полотенец
🤎Масленка
🤎Салфетка сервировочная
🤎Сервировочное блюдо
🤎Органайзер для хранения
🤎Деревянная доска
Уже повсюду чувствуется приближение осени 🍂
А так хочется, чтобы лето не заканчивалось и продлилось как можно дольше!
Делитесь своими последними покупка для дома ⤵️
Обожаю находить полезные новинки — и на этот раз точно не прогадала! Экспресс‑очистители от Lotta — настоящая находка для тех, кто хочет, чтобы бытовая техника служила долго и работала как новенькая.
Жидкая формула средства растворяется моментально и справляется даже со скрытыми загрязнениями — теми, до которых обычно сложно добраться.
◽Очиститель для посудомоечной машины — он стал моим фаворитом. С ним уходят непр…
Осень уже не за горами , пора обновлять гардероб! 🍂
К нам на днях приезжал крестник и мы с ним отправились в Gloria Jeans .
В магазине столько классных вариантов: и удобные худи со штанами и стильные джинсы, жилетки, — в общем, всё, что нужно для осени. В итоге набрали несколько базовых вещей, теперь он точно будет самым модным в садике 😎
Особенно хочется выделить новую коллекцию «К звёздам». В ней так удачно соче…
Кадры наших выходных 🩷
Погода конечно не радовала, неделю назад купались, а в выходные успели даже куртки надеть. Но у природы нет плохой погоды , как говорится 🤩
Еще у нас даче в субботу прошел день поселка 80 лет !
Делитесь кадрами своих выходных ⤵️
🩷🩷🩷🩷🩷 🩷🩷🩷🩷🩷
за актив на наших каналах 🎁
Условия розыгрыша:
💗Подписаться на каналы:
Найди свое
Декрет в голову ударил ❤️
Моменты Ольги
Мама на колёсах
Бьюти и буквы
Модная эстетика
Конфета столичная 💋
Моменты моей жизни
Mom’s in love
Салатом в лицо
⬜Искренний актив (реакции, комментарии без спама, ИИ, по теме постов)
Самому активному - 5.000₽
Рандомно выберет бот - 1.000₽
Нажать кнопку «Участвовать»
🤩Итоги будут…
Август - это как вечер воскресенья, поэтому нужно из него взять всё по максимуму ☀️
Мы много времени проводим на свежем воздухе: играем, гуляем до заката. С детьми мы словно проживаем детство второй раз - вместе удивляемся каждой мелочи, радуемся простым вещам и ловим эти тёплые моменты, чтобы сохранить их в памяти надолго 🩷
А как вы проводите свои летние деньки ?
Я влюбилась в линейку iSeul от Faberlic и теперь готова перепробовать всё 😍
Особенно меня покорили пилинг‑диски с AHA+BHA‑кислотами — это просто находка для моей кожи. Пользуюсь ими 1–2 раза в неделю.
Мне нравится, что диски хорошо пропитаны, но при этом не оставляют липкой плёнки — средство не нужно смывать. В составе есть и успокаивающие компоненты, поэтому даже при чувствительной коже у меня не было сильного раз…
🔥26❤20😍16👍9🤗5
Showing the 12 most recent of 25 posts we hold for @Goodfindsforchildren. 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.
Posts edited after publishing
@Goodfindsforchildren edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
13 August 2026
Most recent edit
13 August 2026
Mentions
Named by 11 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Моменты моей жизни” (@Goodfindsforchildren), 10,002 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Goodfindsforchildren.
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.