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Channel

С подружками на лавочке

@inna_krivetskaya

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

23,957subscribers

+835 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001513219808
TypeChannel
Username@inna_krivetskaya
Description😍Территория мотивации и вдохновения Бьюти 🛍️Тренды👛Лайфхаки Регистрация РКН https://gosuslugi.ru/snet/67ca9bb5f030015ba8d92d13 @irina_reklama5 👈сотрудничество/реклама
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 October 2026
Measurements held38
Confirmed unchanged1 time, most recently 12 October 2026
On Telegramt.me/inna_krivetskaya

Topic

Automotive — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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

21,22924,60022,914.57 August 2026 — 23,122 subscribers7 August 2026 — 23,122 subscribers8 August 2026 — 23,118 subscribers9 August 2026 — 23,081 subscribers10 August 2026 — 23,040 subscribers11 August 2026 — 23,034 subscribers12 August 2026 — 22,995 subscribers13 August 2026 — 22,956 subscribers14 August 2026 — 22,934 subscribers16 August 2026 — 22,904 subscribers17 August 2026 — 22,877 subscribers18 August 2026 — 22,833 subscribers19 August 2026 — 22,821 subscribers20 August 2026 — 22,798 subscribers21 August 2026 — 22,786 subscribers23 August 2026 — 22,739 subscribers24 August 2026 — 22,705 subscribers25 August 2026 — 22,677 subscribers26 August 2026 — 22,608 subscribers27 August 2026 — 22,558 subscribers28 August 2026 — 22,512 subscribers29 August 2026 — 22,461 subscribers30 August 2026 — 22,389 subscribers31 August 2026 — 22,315 subscribers1 September 2026 — 22,248 subscribers2 September 2026 — 23,551 subscribers3 September 2026 — 23,476 subscribers5 September 2026 — 23,372 subscribers8 September 2026 — 23,178 subscribers11 September 2026 — 23,030 subscribers13 September 2026 — 22,869 subscribers14 September 2026 — 22,777 subscribers16 September 2026 — 21,229 subscribers18 September 2026 — 21,801 subscribers24 September 2026 — 24,600 subscribers3 October 2026 — 24,478 subscribers8 October 2026 — 24,184 subscribers12 October 2026 — 23,957 subscribers23,9577 August 202612 October 2026
38 measurements spanning 67 days, net +835. 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 20,723–25,106 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)SubscribersChange
12 Oct 2026, 18:5723,957-227
8 Oct 2026, 03:3724,184-294
3 Oct 2026, 15:0224,478-122
24 Sept 2026, 21:3624,600+2,799
18 Sept 2026, 20:1721,801+572
16 Sept 2026, 15:0021,229-1,548
14 Sept 2026, 16:5822,777-92
13 Sept 2026, 03:1622,869-161
11 Sept 2026, 07:1923,030-148
8 Sept 2026, 13:5923,178-194
5 Sept 2026, 11:2123,372-104
3 Sept 2026, 16:5823,476-75
2 Sept 2026, 08:1623,551+1,303
1 Sept 2026, 11:3522,248-67
31 Aug 2026, 10:1722,315-74
30 Aug 2026, 10:4822,389-72
29 Aug 2026, 12:1622,461-51
28 Aug 2026, 11:5322,512-46
27 Aug 2026, 09:4622,558-50
26 Aug 2026, 12:2422,608first reading

Engagement

25 posts held, back to 16 February 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 90 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
93.5%
avg views ÷ 23,957 subscribers
Avg views / post
22,400
5 posts measured
Reaction rate
0.703%
reactions ÷ views · ER floor
Posts in window
5
of 25 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
WindowRolling 30 days · latest post in window 8 October 2026
Posts held25 (16 February 2026 – 8 October 2026)
Views total112,000
Reactions total787
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Oct 2026, 03:28 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

Photos
156
Videos
58
Links
25

Lifetime counters from Telegram’s own channel header, read 13 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
5m 57s
Average length
36s

Measured directly from 10 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

3,056 reactions across 25 posts, in 10 distinct kinds. The most used accounts for 39.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,21539.8%
😁82026.8%
❤81226.6%
👏612.00%
❤‍🔥601.96%
🤩551.80%
💯200.654%
🥰100.327%
😍20.065%
🤷‍♀10.033%

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 25 of the 25 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 3,056 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 16 February 2026 to 8 October 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

8 Oct 2026, 17:39 UTC≈14,100 views4 reactionsread 13 October 2026
Video

Долгое время пользовалась жидким кондиционером. А когда решила попробовать гранулы — поняла, что больше не хочу возвращаться. Раньше: тащу тяжёлую бутылку, наливаю на глаз, потом гадаю - то ли мало, то ли много, и вечно не рассчитаешь, когда закончится. Гранулы - совсем другое дело. Одна мерная ложка на стирку. Всё чётко, без перелива. И главное - эффект : Бельё мягкое, свежее, без этой липкой плёнки, которую иногда …

❤2👍2

29 Sept 2026, 17:07 UTC≈23,000 views64 reactionsread 13 October 2026
Photo

ДОРОГИЕ❤️ МЫ РЕШИЛИ ВАС ПОРАДОВАТЬ🥳🥳🥳 БУДЕМ ДАРИТЬ ДЕНЕЖКИ ЗА ПОДПИСКУ И АКТИВ💸💸 БУДЕТ МНОГО ПОБЕДИТЕЛЕЙ❤️ СКОРЕЕ ПЕРЕХОДИ НА РОЗЫГРЫШНЫЙ КАНАЛ👇👇 https://t.me/+uZBYCVNIEzszMzEy Одна минутка и ты в деле☘

👍64

27 Sept 2026, 08:48 UTC≈25,600 views95 reactionsread 13 October 2026
Video

Blur от Beauty Lab — это «ретушь» за 20 секунд. Наношу одним движением — кожа гладкая, тон ровный, будто включила фильтр. Никакого плотного покрытия, только естественное сияние. Идеально, когда нет времени на полноценный уход или макияж. Pour Toujours — аромат, созданный на свадьбу основателя Faberlic и его жены. Нежная цветочно-цитрусовая композиция, которая звучит дорого и по-настоящему. Ношу и днём, и вечером — н…

❤50👍21👏19❤‍🔥5

21 Sept 2026, 18:00 UTC≈30,200 views92 reactionsread 13 October 2026
Photo

Когда родственники приехали, а ты на CS75PRO 😎 На выходных протестировали Changan CS75PRO 🛞в самом суровом режиме — «приехали родственники, покажите Москву». И знаете что? 7 мест — это не просто строчка в характеристиках, а реальное спасение. Вместо того чтобы брать два такси, мы всей большой компанией загрузились в один авто. Третий ряд, кстати, вполне себе живой — не «для галочки». Покатались по центру, заскочили…

❤37😁29👍24💯2

18 Sept 2026, 13:30 UTC≈19,100 views532 reactionsread 13 October 2026
Photo

Отдыхали в аквапарке . Сколько живу в Москве а в Мореон приехали первый раз . Очень интересные и необычные термы у них ,нам понравилось

❤284👍248

26 Aug 2026, 15:20 UTC≈27,300 views60 reactionsread 13 October 2026
Photo

Взяли белый CS35PLUS MCA на тест-драйв. И сразу решили: а почему бы не совместить приятное с полезным? Поехали! К родителям в гости за город🚗💨 Путь выдался насыщенный: и городские пробки, и свободная трасса. Честно, за эти пару часов машина успела показать себя с лучшей стороны. Рассказываю, что реально зацепило: 1️⃣ Дорога — как по маслу 😌 На трассе авто держится уверенно, как большая машина. Шумоизоляция приятно …

🤩54❤3👍2❤‍🔥1

12 Aug 2026, 15:26 UTC≈38,600 views36 reactionsread 13 October 2026
Video

15 лет я была верна каре. Но когда захотела смены имиджа и решила отрастить волосы, меня ждал неприятный сюрприз: они будто застыли на месте. Рост оказался черепашьим, кончики мгновенно секлись, а длину было не нащупать. Вдобавок, после отказа от гель-лака, ногти пришли в ужасное состояние — тонкие, как бумага, и слоятся. Начала с классики — пропила курсы витаминов. Эффект был, но временный: пьешь — хорошо, бросаешь…

😁15👍11❤10

5 Aug 2026, 16:21 UTC≈27,900 views64 reactionsread 13 October 2026

Знаем Вам надо ❤️ Мы собрали для вас самые классные каналы Подписывайтесь на Всех кто указан ниже, оставляйте реакции на посты👇👇 ❤️ https://t.me/inna_krivetskaya 😍Территория мотивации и вдохновения Бьюти 🛍️Тренды👛Лайфхаки ❤️https://t.me/+mAX7LlQWQhA5Njky 📃Практический психолог Психолог-консультант Преодоление рутины и нахождение вдохновения 1. https://t.me/pugacheva_tarot Меня зовут Юлия Пугачева. Моя цель — это помо…

❤40❤‍🔥17👍7

22 Jul 2026, 13:04 UTC≈20,400 views366 reactionsread 13 October 2026
Video

🌊 МОРЯ В КАЛИНИНГРАДЕ НЕТ.СПОЙЛЕР 🚫 Но до него легко добраться на «Ласточке» с Северного или Южного вокзала — всего 41 минута, и ты у воды. Собрала для вас подборку лучших мест для купания в Калининградской области 🤍 🏖️ Пляжи на Балтийском море: • Янтарный — белый песок, чистейшая вода, считается одним из лучших пляжей России • Зеленоградск — широкий пляж с удобным входом и уютная набережная • Светлогорск — живопи…

👍185😁163❤‍🔥14❤4

9 Jul 2026, 17:01 UTC≈18,100 views82 reactionsread 13 October 2026
Photo

🚗 700 км к родителям: когда дорога — это не расстояние, а время для себя Планы были простые: навестить родителей. А получилось — небольшое приключение, перезагрузка и 700 км чистого кайфа за рулём. Многие скажут: «Фигасе, за 700 км в гости — это подвиг». А для меня это лучший способ переключиться. Выбрался из города, врубил любимый плейлист, и поехали. Без суеты, без спешки — просто вперёд, к родным. 🚦 Что круто в…

❤31😁25👍24❤‍🔥2

29 Jun 2026, 11:51 UTC≈14,800 views37 reactionsread 13 October 2026
Video

Все поставщики в одном месте ТК «Южные Ворота» Очень удивилась масштабу и оптовым ценам на всё Поедите -закладывайте прям 3-4 часа минимум ,можно приобрести все что душе пожелается🌸

👏15❤13👍9

20 Jun 2026, 13:58 UTC≈13,600 views106 reactionsread 13 October 2026
Photo

Девочки, я влюбилась🤍🚙 Покатались на Changan CS75PLUS,всегда боялась больших машин, думала, что не справлюсь с парковкой. Но эта — совсем другое дело! Что меня покорило : 🫶 Парковка — это элементарно. Камеры показывают машину будто сверху в 3D. Я вижу каждый бордюр. Теперь даже в «Москва-Сити» не страшно парковаться. 🫶 Кресло — как любимое кресло в спа. Сидишь высоко, обзор отличный, и спина вообще не устает даж…

❤42👍33😁31

Showing the 12 most recent of 25 posts we hold for @inna_krivetskaya. 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 3 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 October 2026 — this entry's latest reading, not the date you are reading this.

“С подружками на лавочке” (@inna_krivetskaya), 23,957 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/inna_krivetskaya.

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.