Channel
@Sakiyna_shopping
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4subscribers
-2,019 since we began measuring on 6 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004375843690 |
|---|---|
| Type | Channel |
| Username | @Sakiyna_shopping |
| Created | Between 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 September 2026 |
| Last confirmed live | 5 October 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 5 October 2026 |
| On Telegram | t.me/Sakiyna_shopping |
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 27 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 |
|---|---|---|
| 5 Oct 2026, 18:20 | 4 | -3,185 |
| 27 Sept 2026, 22:19 | 3,189 | -402 |
| 18 Sept 2026, 12:36 | 3,591 | +465 |
| 13 Sept 2026, 19:40 | 3,126 | -165 |
| 9 Sept 2026, 18:58 | 3,291 | +1,268 |
| 6 Sept 2026, 16:22 | 2,023 | no change |
| 6 Sept 2026, 15:47 | 2,023 | first reading |
12 posts held, back to 4 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 12 posts for this entry, the most recent from 6 September 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
23 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 73.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17 | 73.9% | |
| 👍 | 6 | 26.1% |
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 12 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 4 September 2026 to 6 September 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.
SÉLEVÉ Glow Caviar Cream Teringizga premium darajadagi parvarish va "shishasimon" (glass skin) jilo bagʻishlang! ✅Asosiy faol tarkibi:Green Caviar PDRN (100,000 ppm): Dengiz uzumidan (yashil ikra) olingan oʻsimlik asosidagi yuqori samarali PDRN boʻlib, terining elastikligi va tiklanishini maksimal darajada qoʻllab-quvvatlaydi. ✅Liposomal texnologiya: Faol ingredientlarning terining eng chuqur qatlamlarigacha mukamma…
❤1
SÉLEVÉ Glow Caviar Ampoule (50ml) yuz uchun konsentrlangan namlantiruvchi ampula-sivorotkadir. ▶️Asosiy komponenti: Tarkibida 100,000 PPM Liposomal PDRN va yashil kaviya (Green Caviar) ekstrakti mavjud. Shuningdek, tarkibi retinol, niatsinamid va ferulat kislotasi bilan boyitilgan. ➡️Asosiy foydalari:Terini chuqur va intensiv namlantiradi hamda unga tabiiy porlash (glow) effektini beradi. ✅Terining elastikligini va…
❤1
SÉLEVÉ Glow Caviar Sunscreen SPF 50+ PA++++ Quyoshdan yuqori himoya va chuqur parvarish bir vaqtda! ➡️Maksimal himoya (SPF 50+ PA++++): Yuz terisini quyoshning zararli UVA va UVB nurlaridan ishonchli himoya qiladi, erta ajin tushishi va pigment dogʻlar paydo boʻlishining oldini oladi. ➡️Green Caviar & Liposomal PDRN (50,000 PPM): Tarkibidagi yashil ikra (dengiz uzumi) va liposomal PDRN terini hujayra darajasida yang…
Sélevé Glow Caviar PDRN Bubble Toner — terini chuqur namlantiruvchi va unga tabiiy yorqinlik (glow) baxsh etuvchi koreys premium toner-essensiyasi ✅Liposomal Green Caviar PDRN (50 000 PPM): Dengiz uzumidan (yashil ikra) olingan oʻsimlik DNK-si boʻlib, u liposoma texnologiyasi yordamida terining chuqur qatlamlariga tez va samarali kirib boradi. ✅Terini hujayra darajasida yangilaydi hamda mashhur "shishasimon teri" (g…
❤2👍1
OFBASE Rice Exosome Brightening (guruchli va ekzosomali oqartiruvchi hamda yorqinlashtiruvchi) turkumiga mansub yuz parvarishi mahsulotlari Kimlar uchun tavsiya etiladi?Yuzi xiralashgan va charchagan, tabiiy yorqinligini yoʻqotganlar uchun.✔️ Yuzida pigment dogʻlari, sepkillar yoki akniydan qolgan izlar (post-akne) mavjud boʻlganlar uchun.✔️ Terisi quruq, suvsizlangan va parvarishga muhtoj barcha teri turlari uchun✔…
❤1
Bijunara Waxsing kream Nara OPAni ukalarini testlardan oʻtgan 💯 ishonchli krem😂 🏷 150.000 Buyurtma uchun: @khilolmusaeva @Sakiyna_shopping |🧴
👍5❤2
Luvum brendidan 24 soatlik Spf Yuzingizni erta qarishini oldini oladi ✔️ 24soat davomida Quyoshdan himoya✔️ Doim yuzingizni namlantirib turadi✔️ 🏷 170.000 Buyurtma uchun: @khilolmusaeva @Sakiyna_shopping |🧴
💧 ROUND LAB 1025 DOKDO TONER 💧 Terini namlantirish va yangilangan, toza ko‘rinish berish uchun ajoyib tanlov 🤍 🌊 Mineralga boy Dokdo suvi — terini foydali minerallar bilan ta’minlashga yordam beradi. 💦 Terini chuqurroq namlantiradi, quruqlik va taranglik hissini kamaytiradi. ✨ Teri teksturasini yumshatib, yuzni silliq va tiniqroq ko‘rsatishga yordam beradi. 🌿 Yengil, suvdek konsistensiya — yuzda og‘irlik va yopishq…
❤2
EVOCARON NIOSOME — CHUQUR NAMLANTIRISH VA TERI TO‘SIG‘INI MUSTAHKAMLASH UCHUN🇰🇷 Terining namlik balansini tiklash, sezgirlikni kamaytirish va sog‘lom ko‘rinishni qo‘llab-quvvatlash uchun yaratilgan samarali kompleks. ✅Quruqlik va taranglik hissini kamaytiradi ✅ Sezgir terini tinchlantiradi ✅ Teri himoya qatlamini mustahkamlashga yordam beradi ✅ Namlikni uzoq vaqt saqlab turadi ✅ Teriga silliq, yorqin va parvarishlan…
Bijunara terini chuqur tozalovchi choʻziluvchi penkasi 🤩 ✔️Yogʻli, Normal, Kombi, va quruq koʻjalarga ham mos tushuvchi penka 🏷 165.000 Buyurtma uchun: @khilolmusaeva @Sakiyna_shopping |🧴
❤2
🇰🇷Koreyaning Sindrella ukolini oʻrnini bosuvchi Glutationli oqartiruvchi Collageni ✔️Yoshartiradi, ✔️Terini oqartiradi ✔️Soch toʻkilishini oldini oladi ✔️Tirnoqlarni mustahkamlaydi ✔️ 18 yoshdan boshlab qabul qilish mumkin Collagen tarkibida Biotin, Vitamin C, Glutation va Collagen boʻlib sizni yosharib oqarishingizga sabab boʻladi✅ 🏷 130.000 Buyurtma uchun: @khilolmusaeva @Sakiyna_shopping |🧴
❤3
✨ ANUA PDRN 100+ — teringizga “WOW” effekt beradigan parvarish! ✨ 💎 Nabor ichida: 🤍 PDRN + Hyaluron serum 30 ml 🤍 PDRN + Hyaluron 100+ namlantiruvchi krem 30 ml 🌿 Nima uchun aynan shu nabor? ✔️ Terini chuqur namlantirishga yordam beradi ✔️ Teri to‘sig‘ini qo‘llab-quvvatlaydi ✔️ Teringizni yanada silliq va parvarishlangan ko‘rsatadi ✔️ Serum + krem birga qo‘llanganda parvarish yanada kompleks bo‘ladi 💦✨ 🏷 280.000 …
❤3
Showing the 12 most recent of 12 posts we hold for @Sakiyna_shopping. 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.
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.
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 5 October 2026 — this entry's latest reading, not the date you are reading this.
“.” (@Sakiyna_shopping), 4 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/Sakiyna_shopping.
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.