14 Sept 2026, 15:35 UTC4 viewsread 15 September 2026
Photo
🤼♂️Ремни🤼♂️ Зеленый леопардовый 791₽ Черный со стразами 720₽ С пауками 850₽ Со скелетом 950₽ С кастетом 790₽ Пушистые 320₽ С котятами 210₽ С кровью 1 310₽ Со звездочками 290₽ #ремни
Channel
🍓Хранилище сладких фруктов
@sweet_apple_storage
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
30subscribers
+22 since we began measuring on 15 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004449316600 |
|---|---|
| Type | Channel |
| Username | @sweet_apple_storage |
| Created | Between 1 June 2026 and 12 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 September 2026 |
| Last confirmed live | 31 October 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 31 October 2026 |
| On Telegram | t.me/sweet_apple_storage |
Topic
Ecommerce storefront — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 17 October 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Oct 2026, 04:11 | 30 | +13 |
| 24 Oct 2026, 12:16 | 17 | +9 |
| 16 Oct 2026, 14:46 | 8 | -1 |
| 10 Oct 2026, 04:02 | 9 | +1 |
| 15 Sept 2026, 02:22 | 8 | no change |
| 15 Sept 2026, 01:47 | 8 | first reading |
Engagement
4 posts held, back to 12 September 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 4 posts for this entry, the most recent from 14 September 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
14 Sept 2026, 15:26 UTC4 viewsread 15 September 2026
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🦁Emo outfit🦁 Wildberries💋 Серьги 386₽ Серьги 484₽ Ожерелье 580₽ Колготки 700₽ Подвеска 477₽ Браслет 590₽ Высокие конверсы 3 338₽ Ремень 680₽ Шорты 1 434₽ Футболка 1 118₽ AliExpress💋 Серьги 209₽ Серьги 86₽ Шорты 700₽ Колготки 200₽ Высокие конверсы 1 329₽ Браслет 183₽ Ремень 341₽ Ожерелье 300₽ Футболка 1 040₽ ВНИМАНИЕ. НЕ ВСЕ ВЕЩИ НА КАРТИНКЕ ТУТ ПРИСУТСТВУЮТ. КАРТИНКА АЩЧТА С ПИНТЕРЕСТ #emo
12 Sept 2026, 05:36 UTC19 viewsread 15 September 2026
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😥Scene kid blue😥 [🙂] [💋 и 💋] Вайлдберриз: Футболка 1 442₽ Ремень 848₽ Ремень 1 121₽ Митенки 351₽ Браслет 1 124₽ Браслет 534₽ Гетры 2 139₽ Конверсы 1 224₽ Алиэкспресс: Футболка 1 019₽ Митенки 100₽ Браслет 63₽ Ремень 449₽ Ремень 329₽ Гетры 1 901₽ Конверсы 3 857₽ #scene_kid
12 Sept 2026, 05:30 UTC13 viewsread 15 September 2026
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[🙂] [💋] 😇Кофты😇 Фиолетовая с нотами 657₽ Белая с нотами 953₽ Серая футболка и черная кофта 821₽ Фиолетовая с дильфинами 728₽ Серая кофта с усами и сердечком 578₽ Красная футболка 597₽ Черно-серая кофта 494₽ Голубо-розовая 754₽ Коричневая 506₽ #кофта
Showing the 4 most recent of 4 posts we hold for @sweet_apple_storage. 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.
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 2 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 31 October 2026 — this entry's latest reading, not the date you are reading this.
“🍓Хранилище сладких фруктов” (@sweet_apple_storage), 30 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/sweet_apple_storage.
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.