Как легко очистить нагар с кастрюль и сковородок? 🍳 Нагар на кастрюлях и сковородках не всегда требует долгого оттирания. Простая густая паста помогает размягчить стойкие загрязнения, после чего их гораздо легче убрать губкой. Домашние Хитрости
❤6

Channel
@hitrosti_domo
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
190,238subscribers
-2,249 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001429811662 |
|---|---|
| Type | Channel |
| Username | @hitrosti_domo |
| Description | Домашняя рутина - это просто! 💡 @redcat — реклама t.me/redcatmedia/58 — прайс (коммерция) Ссылка на канал: https://t.me/+5gw8Ci2zkvlhOTgy Мы на бирже: https://telega.in/c/+5gw8Ci2zkvlhOTgy Работаем с сервисом BidFox РКН: https://clck.ru/3FQtAB |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/hitrosti_domo |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 90% 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 |
|---|---|---|
| 26 Sept 2026, 00:56 | 190,238 | -307 |
| 19 Sept 2026, 06:41 | 190,545 | -80 |
| 16 Sept 2026, 20:18 | 190,625 | -98 |
| 15 Sept 2026, 01:18 | 190,723 | -70 |
| 13 Sept 2026, 07:39 | 190,793 | -73 |
| 11 Sept 2026, 10:00 | 190,866 | -139 |
| 8 Sept 2026, 16:41 | 191,005 | -164 |
| 5 Sept 2026, 06:38 | 191,169 | -70 |
| 3 Sept 2026, 10:05 | 191,239 | -65 |
| 2 Sept 2026, 01:37 | 191,304 | -57 |
| 1 Sept 2026, 03:56 | 191,361 | -37 |
| 31 Aug 2026, 01:24 | 191,398 | -46 |
| 30 Aug 2026, 04:04 | 191,444 | -41 |
| 29 Aug 2026, 03:43 | 191,485 | -45 |
| 28 Aug 2026, 01:38 | 191,530 | -34 |
| 27 Aug 2026, 02:45 | 191,564 | -44 |
| 26 Aug 2026, 03:17 | 191,608 | -51 |
| 25 Aug 2026, 02:23 | 191,659 | -69 |
| 23 Aug 2026, 14:47 | 191,728 | -86 |
| 21 Aug 2026, 21:56 | 191,814 | first reading |
279 posts held, back to 3 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 114 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 28 September 2026 |
|---|---|
| Posts held | 279 (3 August 2026 – 28 September 2026) |
| Views total | 572,428 |
| Reactions total | 3,343 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Sept 2026, 12:47 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.
Lifetime counters from Telegram’s own channel header, read 28 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 232 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.
6,908 reactions across 279 posts, in 13 distinct kinds. The most used accounts for 60.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 4,205 | 60.9% | |
| ❤ | 1,724 | 25.0% | |
| 🤔 | 451 | 6.53% | |
| 🔥 | 151 | 2.19% | |
| 🗿 | 101 | 1.46% | |
| 👏 | 88 | 1.27% | |
| 😁 | 74 | 1.07% | |
| 🍾 | 33 | 0.478% | |
| 👻 | 19 | 0.275% | |
| 😍 | 19 | 0.275% | |
| 🐳 | 16 | 0.232% | |
| 🥰 | 16 | 0.232% | |
| 🌭 | 11 | 0.159% |
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 279 of the 279 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 6,908 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 279 most recent posts we hold, published 3 August 2026 to 28 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.
Как легко очистить нагар с кастрюль и сковородок? 🍳 Нагар на кастрюлях и сковородках не всегда требует долгого оттирания. Простая густая паста помогает размягчить стойкие загрязнения, после чего их гораздо легче убрать губкой. Домашние Хитрости
❤6
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❤7👍4🌭1
Советы для облегчения глажки 💨 ➕Когда гладите постельное белье, добавьте в утюг капельку кондиционера, белье будет очень ароматным. ➕Мокрое постельное белье после стирки можно сложить несколько раз и повесить, оно расправиться под своим весом. ➕Распределяйте вещи. Утюг быстрее нагревается, а остывает дольше, поэтому перед глажкой распределите вещи на группы по степени необходимой температуры. ➕После стирки лучше вст…
❤1👍1
Что делать, если после посудомойки на посуде останется налет? 🔥 Помните: чистая посуда — это не только эстетика, но и гигиена, поэтому не откладывайте решение на потом. Домашние Хитрости | MAX
👍17❤3
🧐 Разбираемся в режимах духовки! Выбирайте режим под задачу, и духовка отплатит вкусным результатом без сюрпризов. Домашние Хитрости
👍14
Полезная подборка: как удалить пятна? 🩷 Пятна на одежде — это не просто досадная случайность, а маленькая война с повседневностью, которую можно выиграть, если знать правила. Домашние Хитрости | MAX
👍12
Проверяем лайфхак из интернета: как легко и быстро разделать куриную грудку! 🤯 Способ рабочий, так что обязательно сохраняйте это видео, чтобы минимизировать остатки мяса на кости и не переплачивать за готовое филе. Домашние Хитрости
❤17👍10👏3🥰1
Хитрость при жарке рыбы и котлет ♨️ Этот приём экономит время, силы и нервы, а результат всегда стабильно хорош. Попробуйте один раз — и вы уже не захотите возвращаться к привычному способу. Домашние Хитрости | MAX
👍26🤔6❤3
Кухня без бактерий полное руководство по гигиене и чистоте✔️ 📍Губки для посуды. • Меняем еженедельно, во влажной среде губки формируются миллионы бактерий. • Хотите менять реже? Целлюлозные губки, служат дольше и в них меньше размножаются бактерии. 📍Щетка для посуды • Меняем раз в три месяца, даже если она как новая. • Дезинфекция: вымываем остатки пищи и кладем в посудомойку. • Хранение: храните щетку вертикальн…
❤14👍7🤔4
Защищаем школьные учебники 📚 Школьные рюкзаки — это настоящая мясорубка для современных учебников, но этот простой лайфхак с бумагой реально спасает углы от заломов. Домашние Хитрости
👍15❤2
Красивая подача хлеба на стол 🤩 Красивая подача хлеба в оригинальной текстильной корзинке из кухонного полотенца создает уютную домашнюю атмосферу за столом. Домашние Хитрости
👍19❤6🔥1
Дезинфицируем столовые приборы 🍴 1️⃣ Недостаточно просто обдать кипятком столовые приборы. Чтобы гарантированно убить бактерию, нужно кипятить приборы не менее 5–10 минут с момента закипания воды. Кратковременное ополаскивание неэффективно. 2️⃣Сода добавляется для усиления эффекта. В санитарных правилах рекомендуется 2% раствор питьевой соды. В домашних условиях это примерно 20 граммов соды (1 столовая ложка с горко…
❤9👍4🐳1
Showing the 12 most recent of 279 posts we hold for @hitrosti_domo. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“Домашние Хитрости” (@hitrosti_domo), 190,238 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/hitrosti_domo.
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.