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 99% 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
32 measurements spanning 41 days, net +966. 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 11,335–13,327 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 21:19
12,541
-48
15 Sept 2026, 19:22
12,589
-41
14 Sept 2026, 00:38
12,630
-69
12 Sept 2026, 07:18
12,699
-200
10 Sept 2026, 03:41
12,899
-198
6 Sept 2026, 20:18
13,097
+478
4 Sept 2026, 08:40
12,619
+200
2 Sept 2026, 22:54
12,419
-71
1 Sept 2026, 23:38
12,490
-190
31 Aug 2026, 22:37
12,680
+512
30 Aug 2026, 19:54
12,168
+214
29 Aug 2026, 19:25
11,954
+180
28 Aug 2026, 20:44
11,774
+116
27 Aug 2026, 20:56
11,658
+92
26 Aug 2026, 21:34
11,566
+1
26 Aug 2026, 00:57
11,565
-6
24 Aug 2026, 22:26
11,571
-33
23 Aug 2026, 06:26
11,604
-7
21 Aug 2026, 20:58
11,611
-26
20 Aug 2026, 15:02
11,637
first reading
Engagement
32 posts held, back to 4 August 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.38%
avg views ÷ 12,541 subscribers
Avg views / post
675
11 posts measured
Reaction rate
19.5%
reactions ÷ views · ER floor
Posts in window
12
of 32 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 2 September 2026
Posts held
32 (4 August 2026 – 2 September 2026)
Views total
7,420
Reactions total
1,450
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 21:42 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.
What this channel posts
Video runtime
7m 11s
Average length
39s
Measured directly from 11 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.
Reaction mix
2,723 reactions across 30 posts, in 21 distinct kinds. The most used accounts for 49.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,360
49.9%
🔥
487
17.9%
custom 5447357702130933167
314
11.5%
custom 5445063472335333307
167
6.13%
👍
136
4.99%
❤🔥
79
2.90%
🥰
64
2.35%
👏
43
1.58%
💘
12
0.441%
😁
11
0.404%
🤩
10
0.367%
🏆
9
0.331%
🤔
8
0.294%
🌚
4
0.147%
💅
4
0.147%
💔
4
0.147%
💯
3
0.11%
🤗
3
0.11%
👎
2
0.073%
😍
2
0.073%
1 further kind
1
0.037%
Custom emoji. 2 of the rows above are 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 counts beside them are 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 30 of the 32 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 2,723 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 4 August 2026 to 2 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.
Любимые хиты в мини-формате! ❤️
Вам настолько понравился наш Удалитель кутикулы в тревел версии, что теперь мини-версии есть у таких полюбившихся классических средств как:
❤️Алмазный укрепитель (арт. WB WW1021121)
❤️Бриллиантовая основа (арт. WB WW1021118)
❤️Основа-корректор для маниюра (арт. WB WW1021120)
❤️Суперзащитное покрытие (арт. WB WW1021117)
❤️Ультра блеск ногтей (арт. WB WW1021116)
Какой мини-продукт вы …
Поздравляем всех школьников, студентов, родителей и учителей с Днем знаний! 🍁
По случаю праздника мы вспомнили наши забавные истории из школы и собрали их в карусели.
Теперь ваша очередь! Делитесь в комментариях своими курьезными случаями школьных лет — уверены, будет над чем посмеяться вместе ⤵️
Начинается осень, и мы дарим вам новые заставки на телефон с календарем 🫐
Делитесь вашими красивыми обновленными экранами в комментариях!
Напоминаем, до 7 сентября вы можете выиграть экскурсию по нашему производству, создать собственный продукт и получить подарки от бренда! Узнайте условия участия в посте и подключайтесь к программе лояльности FRENCHI УМНАЯ ЭМАЛЬ в @FRENCHI_authorization_bot
FRENCHI | УМНАЯ ЭМАЛЬ pinned «💗Каждый месяц мы проводим розыгрыш, в котором вы можете выиграть 5000 рублей на продукцию FRENCHI. Почему? Потому что вы заслуживаете заботы — каждый день. Победителя выбираем в конце каждого месяца рандомно с помощью бота. Итоги этого конкурса подведём…»
Новинка: самая бережная пилка для ногтей!
Мы уже писали, что стеклянная пилка предпочительна для бережного маникюра, так как она:
❤️предотвращает расслоение
❤️"запаивает" кончик ногтя
❤️легко очищается водой
❤️не оставляет длинную "бахрому" при убирании длины
Купить ее можно на WB: арт. WW1002762
В комплекте идет чехол, с ним очень удобно носить пилочку с собой всегда и везде ❤️
Дарим шанс познакомиться с нашей уходовой новинкой!
Победитель получит комплект: три молочка для тела с потрясающими ароматами. В составе пантенол и масло виноградной косточки для бархатистой увлажненной кожи уже с первого применения.
Для участия нужно всего лишь:
❤️Подписаться на канал FRENCHI УМНАЯ ЭМАЛЬ
❤️Нажать на кнопку «Участвую»
❤️Поставить реакции трем публикациям на канале
Итоги подведем 10 сентября.
Жела…
Собрали для вас маникюрные тренды со всего интернета на конец августа и начало сентября ✨
Как вам рубрика? Делаем ее постоянной?
Напоминаем о розыгрыше поездки на производство FRENCHI УМНАЯ ЭМАЛЬ! Примите участие до 7 сентября ✨
Маникюр принцессы 🤴
Ловите простой туториал ❤️ Результат получается нежный и эффектный одновременно, а также очень стойкий за счет того, что светоотражающие лаки держатся дольше.
Средства на WB:
Обезжириватель арт. WW370211
BB-лак арт. WW470644
Светоотражающий лак арт. WW435329
Топ с микрошиммером арт. WW402166
Напоминаем о розыгрыше поездки на производство FRENCHI УМНАЯ ЭМАЛЬ! Примите участие до 7 сентября ✨
Как обещали, делимся неудачными дублями, социофобия их боялась 💪
У вас остался еще целый день, чтобы выиграть наш эксклюзивный бокс со средствами для домашнего маникюра, участвуйте здесь 🤩
Продолжаем раздачу подарков! Девушки без гель-лака на ногтях получили от нас наборы для домашнего маникюра! 🍓
А если вы тоже хотите подарок, примите участие в розыгрыше через программу лояльности FRENCHI УМНАЯ ЭМАЛЬ @FRENCHI_authorization_bot! Главный приз — поездка на наше производство.
КАК ПОУЧАСТВОВАТЬ: Покупайте продукцию FRENCHI УМНАЯ ЭМАЛЬ и загружайте чеки в программе лояльности @FRENCHI_authorization_bot до…
❤43👍18🔥11😁5
Showing the 12 most recent of 32 posts we hold for @frenchi_prdcts. 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.
Posts edited after publishing
@frenchi_prdcts 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
26 August 2026
Most recent edit
26 August 2026
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 8 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“FRENCHI | УМНАЯ ЭМАЛЬ” (@frenchi_prdcts), 12,541 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/frenchi_prdcts.
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.