Telegram RegisterThe public register of Telegram

Channel

DetailMart

@DetailMart

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

1,305subscribers

-2 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1001410615674
TypeChannel
Username@DetailMart
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/DetailMart

Growth

1,3051,3081,306.58 August 2026 — 1,307 subscribers8 August 2026 — 1,307 subscribers9 August 2026 — 1,308 subscribers11 August 2026 — 1,305 subscribers8 August 202611 August 2026
4 measurements spanning 4 days, net -2. 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 1,305–1,308 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 18:581,305-3
9 Aug 2026, 00:531,308+1
8 Aug 2026, 03:201,307no change
8 Aug 2026, 03:201,307first reading

Engagement

11 posts held, back to 22 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.3%
avg views ÷ 1,305 subscribers
Avg views / post
383
4 posts measured
Reaction rate
2.75%
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 July 2026
Posts held11 (22 June 202624 July 2026)
Views total1,530
Reactions total42
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:20 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
1m 16s
Average length
25s

Measured directly from 3 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

119 reactions across 11 posts, in 10 distinct kinds. The most used accounts for 35.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4235.3%
2521.0%
👌2420.2%
🔥86.72%
💯75.88%
🤗43.36%
🤔32.52%
🦄32.52%
😁21.68%
🤯10.84%

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 11 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 119reactions 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 22 June 2026 to 24 July 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

24 Jul 2026, 06:05 UTC309 views11 reactionsread 8 August 2026

Чек-лист идеального салона: от очистки до защиты 📋✨ В прошлом посте мы говорили о том, почему базовой уборки в салоне часто бывает недостаточно. Теперь делимся с вами готовым чек-листом, который поможет навести полный порядок в интерьере, защитить его от износа и вернуть ощущение абсолютно нового автомобиля Сохраняйте и проверяйте свой салон ✅ 1. Глубокое очищение (Грязь, масляный налет и бактерии) ➖Руль, ручки и

4👍4🔥3

21 Jul 2026, 06:55 UTC352 views9 reactionsread 8 August 2026

Салон автомобиля: почему базовой чистоты уже недостаточно? Согласитесь, кузову автомобиля мы уделяем гораздо больше внимания❓ Мы бережно защищаем лакокрасочное покрытие восками, наносим квик-детейлеры, вовремя делаем полировку и переживаем за каждую царапину. Но при этом забываем главное: всё время за рулем мы проводим внутри машины, а не снаружи. В салоне мы обычно просто поддерживаем базовый порядок, считая, что

👍4👌2💯2🤗1

17 Jul 2026, 12:15 UTC424 views14 reactionsread 8 August 2026
Video

Сняли для вас подробное видео с правильными этапами нанесения «антидождя». Чтобы состав действительно работал, а не смылся после первой мойки. В ролике подробно разобрали каждый шаг: от обязательной глубокой абразивной очистки поверхности (без неё гидрофоб просто не закрепится на стекле) до правильного нанесения и располировки самого состава. Все средства, которые мы используем для подготовки и создания супергидроф

👍6🔥4👌2💯1🤗1

15 Jul 2026, 11:49 UTC445 views8 reactionsread 8 August 2026

Уход за автомобилем — это не про идеальную чистоту, а про привычку заботиться о нем Регулярная мойка, своевременная очистка загрязнений, защита лакокрасочного покрытия и внимание к мелочам помогают сохранить внешний вид автомобиля и продлить срок службы покрытия. Мы собрали для вас подборку материалов, которые помогут разобраться в основных этапах ухода за автомобилем и сделать его проще и эффективнее: ▪️Бесконтак

🤔3👌2😁2👍1

9 Jul 2026, 06:37 UTC561 views7 reactionsread 8 August 2026
Photo

Робомойка: удобно, быстро… но есть нюансы Автоматические мойки и робомойки экономят время, но качество ухода за лакокрасочным покрытием зависит не только от того, чем моют, но и как моют Щётки: даже современные мягкие материалы со временем накапливают частицы песка и грязи. Именно они часто становятся причиной мелких круговых царапин и «паутинки» на тёмных автомобилях. Чтобы быстро удалить загрязнения без ручной р

👌32👍1🤯1

6 Jul 2026, 09:30 UTC497 views9 reactionsread 8 August 2026
Photo

Почему летом после трассы вся машина в насекомых и как отмыть её без проблем? 💨Скорость: до 50–60 км/ч потоки воздуха просто сдувают мелких насекомых в сторону от машины, но на трассе скорость выше, воздушный поток не успевает уводить их, и автомобиль физически собирает всё, что находится в воздухе 🌥️Погода: сильнее всего кузов пачкается теплыми безветренными вечерами, в сумерках или сразу после летнего дождя, когд

👌4🦄3🤗2

3 Jul 2026, 10:59 UTC342 views14 reactionsread 8 August 2026
Forwarded from @PolBritePhoto

Небольшой бэкстэйдж с нашего вчерашнего семинара в Челябинске, спасибо, что были с нами 🔥

7👍5💯2

1 Jul 2026, 06:16 UTC398 views10 reactionsread 8 August 2026
Forwarded from @PolBritePhoto

Дорогие друзья, рады Вам сообщить, что 2 июля в 12:00 в городе Челябинск пройдет наш семинар На семинаре наш эксперт поделится уникальными рабочими связками, лайфхаками по удалению голограмм и паутинок, а также ответит на интересующие Вас вопросы по полировке 👍 Приходите, будет как всегда познавательно и интересно 🗓 📍 ЯндексКарты 📍 2ГИС

👍43👌3

26 Jun 2026, 06:40 UTC530 views11 reactionsread 8 August 2026

5 золотых правил ухода за автомобилем летом Летний сезон — серьезное испытание для кузова. Чтобы лак не выгорел, а обзор оставался идеальным, держите чек-лист по правильному уходу от DetailMart: 1️⃣Защищайте лак от УФ-лучей и водных пятен. Солнце сушит лак, а дождевая вода оставляет въевшийся водный камень. Чтобы запечатать поры после мойки, нанесите быстрый полимерный квик или гидрофобный спрей-силант. Они создаю

4👍4👌3

24 Jun 2026, 06:55 UTC483 views13 reactionsread 8 August 2026
Video

🌧️ Дождь — это не бесплатная мойка Летний ливень не просто сбивает пыль — для лака он скорее опасен, чем полезен: ⏺Это не чистая вода: капли собирают из воздуха смог, промышленные выбросы и кислотные примеси. Высыхая на солнце, они оставляют на кузове въевшийся водный камень ⏺Ловушка в швах: грязная влага затекает в скрытые полости, негерметичные стыки и застаивается там, провоцируя скрытую коррозию ⏺Грязевой налет:

👍7👌32🔥1

22 Jun 2026, 09:46 UTC367 views13 reactionsread 8 August 2026
Forwarded from @PolBritePhoto

PolBrite, ESTACOAT и АО ВМ на «Волок Мотор Фест 2026»⚡️ В минувшую субботу центральная площадь Волоколамска превратилась в настоящую машину времени Для наших брендов PolBrite, ESTACOAT и АО ВМ было огромным удовольствием выступить официальными спонсорами и участниками этого праздника истории и технологий Наш стенд стал местом притяжения для всех, кто ценит правильный уход за кузовом. Мы показали наши материалы в де

👍63👌2💯2

Showing the 11 most recent of 11 posts we hold for @DetailMart. 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 — 1,020,191 of 1,189,255entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 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.

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

“DetailMart” (@DetailMart), 1,305 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/DetailMart.

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.