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 18 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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
8 measurements spanning 21 days, net -12. 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 1,352–1,368 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 16:17
1,354
-2
12 Sept 2026, 10:21
1,356
-5
8 Sept 2026, 00:17
1,361
+2
2 Sept 2026, 21:05
1,359
-1
30 Aug 2026, 23:47
1,360
-1
28 Aug 2026, 09:24
1,361
-5
25 Aug 2026, 07:09
1,366
no change
25 Aug 2026, 06:30
1,366
first reading
Engagement
11 posts held, back to 19 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.50%
avg views ÷ 1,354 subscribers
Avg views / post
74.5
4 posts measured
Reaction rate
2.10%
reactions ÷ views · ER floor
Posts in window
4
of 11 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. It is computed over the 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 24 August 2026
Posts held
11 (19 August 2026 – 24 August 2026)
Views total
298
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Aug 2026, 06:30 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
3m 58s
Average length
34s
Measured directly from 7 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
32 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 68.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
22
68.8%
👍
5
15.6%
👏
3
9.38%
❤🔥
1
3.13%
👌
1
3.13%
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 9 of the 11 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 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 19 August 2026 to 24 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.
А ещё в этот день мы решили спросить наших сотрудников: сколько лет они уже работают в «Форне»?
16 лет.
17 лет.
19 лет…
И за этими цифрами — огромная часть жизни.
📹 В видео наши сотрудники рассказывают, почему спустя столько лет остаются с «Форне».
И, наверное, именно такие слова лучше всего рассказывают о компании ❤️
«Форне» — это прежде всего люди.
Те, кто приходит сюда каждый день, печёт, украшает, продаёт, …
140 лет Центральному парку Барнаула — и мы стали частью этого большого праздника!
К юбилею парка мы подготовили символичный подарок — 140 пряников от «Форне», которые украсили большой праздничный торт. По одному на каждый год истории Центрального парка!
Но какой праздник без сладкого?
Конечно, мы приехали не только поздравлять, но и угощать. На нашей площадке гости пробовали любимые десерты «Форне», играли в тир и…
Торт «Барон» по сладкой цене
Основа торта — рассыпчатые шарики из песочного теста на сметане, которые щедро прослаиваются сливочно-шоколадным кремом «Каприз».
В крем добавляем изюм, а сверху торт обильно посыпаем грецким орехом.
Получается тот самый контраст, за который «Барон» и любят: рассыпчатое песочное тесто становится нежным благодаря крему, изюм добавляет приятную сладость, а грецкий орех — насыщенный вкус …
🍁Торт ко Дню Знаний «Снова в школу» в свободной продаже по всей кондитерской сети «Форне»
Шоколадные бисквиты, прослойка из взбитых сливок и нежнейший вкус пломбира. Сливочный, невероятно шоколадный и по-настоящему праздничный!
Идеально для семейного чаепития, праздника в классе или подарка любимому учителю.
📍Совсем скоро на витринах кондитерской сети «Форне»
🎒Торт ко Дню Знаний «Рюкзак» в свободной продаже по всей кондитерской сети «Форне»
Нежный сметанный корж, свежая брусника, сметанный крем и грецкий орех. Ягодная кислинка, нежность крема и насыщенный ореховый вкус.
Идеально для семейного чаепития, праздника в классе или подарка любимому учителю.
📍Совсем скоро на витринах кондитерской сети «Форне»
Торт ко Дню Знаний «Доска» в свободной продаже по всей кондитерской сети «Форне»
Внутри — тонкие шоколадные бисквиты с какао и нежный сливочно-шоколадный крем «Каприз». Мягкий, насыщенный шоколадный вкус и воздушная кремовая текстура — сочетание, которое понравится и детям, и взрослым.
Торт «Доска» станет красивым и вкусным завершением первого учебного дня — для семейного чаепития, праздника в классе или подарка лю…
Подборка десертов с яблочком к Яблочному Спасу!
Мы решили отметить этот день по-своему — и напомнить о продукции «Форне», где яблоко играет важную роль.
🍎 Фруктовый рулет — нежный бисквит, пропитанный сиропом, и ароматное повидло из натуральных яблок. Простое и знакомое сочетание, которое особенно подходит для сегодняшнего чаепития.
🍏 Ванильный зефир — приготовлен по ГОСТу на натуральном яблочном повидле. Именно я…
🍏 19 августа — Яблочный Спас
Сегодня отмечают Яблочный Спас — праздник, который традиционно связывают с созреванием яблок и сбором нового урожая. К этому времени сады наполнялись спелыми плодами, а яблоки становились главным угощением дня.
По традиции яблоки освящали в церкви, ими угощали родных, соседей и тех, кто нуждался в помощи. Хозяйки пекли яблочные пироги, готовили варенье и другие угощения, а семьи собирал…
Торты на заказ ко Дню знаний
Ко Дню знаний в «Форне» принимаем заказы на праздничные торты по вашему эскизу или поможем с идей и оформлением!
А для небольшого семейного праздника можно заказать мини-торт весом 300 г — маленький, красивый и как раз для того, чтобы отметить первый школьный день за чашкой чая 📚☕️
На выбор 5 начинок:
клубничная, черничная, вишнёвая и классическая сырная.
💡Можно заказать торт для перв…
❤3👍1
Showing the 11 most recent of 11 posts we hold for @forne_konditer. 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.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Форне КОНДИТЕРСКАЯ СЕТЬ” (@forne_konditer), 1,354 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/forne_konditer.
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.