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Channel

TabLab - Лаборатория Табличек

@oztablab

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,128subscribers

+77 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002636344173
TypeChannel
Username@oztablab
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/oztablab

Growth

2,0512,1282,089.56 August 2026 — 2,051 subscribers6 August 2026 — 2,051 subscribers6 August 2026 — 2,058 subscribers9 August 2026 — 2,092 subscribers12 August 2026 — 2,128 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net +77. 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 2,039–2,140 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 13:262,128+36
9 Aug 2026, 10:112,092+34
6 Aug 2026, 16:252,058+7
6 Aug 2026, 08:322,051no change
6 Aug 2026, 08:222,051first reading

Engagement

16 posts held, back to 15 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
32.6%
avg views ÷ 2,128 subscribers
Avg views / post
693
16 posts measured
Reaction rate
4.17%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 14 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held16 (15 July 20267 August 2026)
Views total11,085
Reactions total402
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:04 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
16m 03s
Average length
16m 03s

Measured directly from 1 video 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

381 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 37.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14237.3%
👍12833.6%
🔥6216.3%
🎉184.72%
👀102.62%
🤗82.10%
💘61.57%
❤‍🔥51.31%
10.262%
👎10.262%

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 14 of the 16 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 402reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 15 July 2026 to 7 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.

Recent posts

7 Aug 2026, 10:55 UTC266 views10 reactionsread 7 August 2026
Photo

#update 📦 Обновление для TabLab Поставки Добавил новый режим диверсификации поставок. Теперь на листе «Создание поставок» можно указать в N14, на сколько отдельных заявок разделить товар. Скрипт: равномерно распределит количество с учетом кратности; последовательно создаст все заявки; покажет прогресс создания. 💡 Зачем это нужно? В текущей ситуации многие стараются не концентрировать весь товар на одном складе

4🔥3👍2🤗1

7 Aug 2026, 10:17 UTC320 views4 reactionsread 7 August 2026
Photo

🚨 Похоже, на некоторых точках приема сейчас могут быть проблемы с бронированием слотов. Не исключено, что Ozon проводит какую-то реорганизацию складов, но пока это лишь предположение. Например, один из пользователей написал, что у него полностью отсутствуют слоты по всем направлениям. Проверили вместе - проблема оказалась именно в сортировочном центре МСК_МОЛЖАНИНОВО_3_ХАБ. Если столкнулись с такой же ситуацией, п

3🤗1

5 Aug 2026, 14:34 UTC483 views17 reactionsread 7 August 2026
Photo

🎁 Как получить доступ к TabLab Остатки? Все просто. Заполните небольшую форму, после чего в течение дня я предоставлю вам доступ и свяжусь с вами. 🔗 Ссылка на форму После получения доступа пользоваться таблицей очень просто: 1️⃣ Вставьте свой API-ключ на лист API_KEY (инструкция находится на этом же листе). 2️⃣ В верхнем меню выберите: Остатки Ozon → Запустить На этом всё. Дальше таблица будет автоматически ка

👍107

5 Aug 2026, 14:32 UTC422 views30 reactionsread 7 August 2026
Photo

🎉 На канале сразу два повода для праздника - нам исполнился год и нас уже больше 2 тысяч подписчиков! За это время мы вместе разобрали огромное количество изменений Ozon, сделали кучу бесплатных калькуляторов, внедрили новый функционал в TabLab и, кажется, обсчитали уже практически всё, что только можно было обсчитать. 😄 Моя семья, как всегда, поздравила меня оригинальным тортиком 🎂😁, а я хочу поблагодарить каждого

🎉18🔥12

1 Aug 2026, 19:06 UTC546 views8 reactionsread 7 August 2026
Forwarded from @ozonmaximalPhoto

Вот и объяснение подъехало. Все что писал выше подтвердилось. Спим спокойно, люди работают. 🫡

8

1 Aug 2026, 14:12 UTC852 views13 reactionsread 7 August 2026
Photo

🚨 Похоже, ситуация с массовыми заказами с юр. лица оказалась не единичной. О ней уже рассказали ребята из каналов: @ozonmaximal @ozonwoman @ozonbluerise При этом у нас подобных заказов не было, поэтому решил собрать статистику и понять, насколько массовый характер носит эта история. Если вы тоже столкнулись с такими заказами, пожалуйста, заполните небольшую форму. Это займет буквально пару минут. 📝 Форма полность

7👀6

29 Jul 2026, 15:23 UTC916 views20 reactionsread 7 August 2026
Photo

Ну и сам обновленный калькулятор СПП/Комиссии прилагаю. Теперь в нем можно посмотреть фактическую комиссию с учетом доли локальных и нелокальных продаж, а также комиссию по дням. Также обновил отображение СПП по дням.

17👍3

29 Jul 2026, 15:03 UTC762 views24 reactionsread 7 August 2026
Video

🔥 Прошлый пост собрал очень много реакций и комментариев. Судя по всему, тема действительно требует разбора. Поэтому, как и обещал, подготовил его. Разберем, как теперь правильно считать комиссию с учетом доли локальных и нелокальных продаж, а также на сколько нужно поднять цену товара, чтобы сохранить текущую прибыль после изменения комиссии. Поехали☝🏼

20🔥31

28 Jul 2026, 12:42 UTC783 views127 reactionsread 7 August 2026

Кстати, хотел спросить. Нужен ли разбор того, как теперь правильно считать комиссию с учетом локальности продаж после изменений в конце августа? Раньше в юнит-экономике мы просто указывали фиксированный процент комиссии. Теперь такой подход уже не работает, потому что комиссия будет зависеть от того, какая у вас доля локальных и нелокальных продаж. Соответственно, считать ее тоже нужно по-другому. Заодно могу пока

👍10712💘6👎1🤗1

27 Jul 2026, 14:44 UTC755 views32 reactionsread 7 August 2026
Video

🤯 Думаю, у вас уже кругом голова от всех изменений, которые нам в последнее время озвучивают «синие» ребята. Особенно после сегодняшней новости, когда часть последних нововведений решили откатить. Поэтому я сделал небольшую таблицу, в которой собрал последние изменения именно по комиссиям. Теперь можно быстро выбрать свою категорию или товар и сразу увидеть, как менялись комиссии после каждого изменения. Постараюс

18🔥10🤗4

23 Jul 2026, 15:40 UTC974 views32 reactionsread 7 August 2026
Photo

🚀 Внес изменения сразу в две бесплатные таблицы. 📦 Калькулятор логистики 3.0 В предыдущем посте я добавил расчет фактической комиссии после всех изменений. Но после 28 августа в расчет закралась ошибка: я забыл убрать дисконт для Москвы, Санкт-Петербурга и Беларуси. Поэтому обязательно пересчитайте данные. У нас после исправления фактическая комиссия выросла с 52% до 53%. 📊 TabLab СПП Тоже немного причесал таб

🔥199👍3🤗1

Showing the 12 most recent of 16 posts we hold for @oztablab. 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.

Citation-graph rank

Citation-graph rank — 88,722 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“TabLab - Лаборатория Табличек” (@oztablab), 2,128 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/oztablab.

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.