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Telegram profile photo for POMPA

Channel

POMPA

@pompa_fashion

Verified by Telegram

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

12,400subscribers

+535 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-1001746212592
TypeChannel
Username@pompa_fashion
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/pompa_fashion

Topic

Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 43% 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

11,80112,70712,2547 August 2026 — 11,865 subscribers7 August 2026 — 11,862 subscribers8 August 2026 — 11,856 subscribers9 August 2026 — 11,838 subscribers10 August 2026 — 11,863 subscribers11 August 2026 — 11,925 subscribers12 August 2026 — 11,942 subscribers14 August 2026 — 11,931 subscribers15 August 2026 — 11,924 subscribers17 August 2026 — 11,918 subscribers18 August 2026 — 11,910 subscribers19 August 2026 — 11,901 subscribers20 August 2026 — 11,873 subscribers22 August 2026 — 11,864 subscribers23 August 2026 — 11,846 subscribers25 August 2026 — 11,829 subscribers26 August 2026 — 11,820 subscribers27 August 2026 — 11,804 subscribers29 August 2026 — 11,801 subscribers30 August 2026 — 11,809 subscribers31 August 2026 — 11,827 subscribers1 September 2026 — 11,835 subscribers2 September 2026 — 11,901 subscribers3 September 2026 — 11,915 subscribers5 September 2026 — 12,021 subscribers9 September 2026 — 12,707 subscribers11 September 2026 — 12,494 subscribers13 September 2026 — 12,459 subscribers15 September 2026 — 12,434 subscribers17 September 2026 — 12,400 subscribers12,4007 August 202617 September 2026
30 measurements spanning 41 days, net +535. 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 11,665–12,843 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
17 Sept 2026, 09:3912,400-34
15 Sept 2026, 11:5912,434-25
13 Sept 2026, 18:1812,459-35
11 Sept 2026, 20:5812,494-213
9 Sept 2026, 08:5512,707+686
5 Sept 2026, 23:5912,021+106
3 Sept 2026, 19:5911,915+14
2 Sept 2026, 11:4811,901+66
1 Sept 2026, 10:0511,835+8
31 Aug 2026, 08:1311,827+18
30 Aug 2026, 08:3511,809+8
29 Aug 2026, 08:3811,801-3
27 Aug 2026, 05:1411,804-16
26 Aug 2026, 03:0511,820-9
25 Aug 2026, 04:2811,829-17
23 Aug 2026, 23:5311,846-18
22 Aug 2026, 10:5711,864-9
20 Aug 2026, 23:4511,873-28
19 Aug 2026, 20:4511,901-9
18 Aug 2026, 23:4211,910first reading

Engagement

40 posts held, back to 5 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 46 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.69%
avg views ÷ 12,400 subscribers
Avg views / post
1,080
11 posts measured
Reaction rate
7.43%
reactions ÷ views · ER floor
Posts in window
12
of 40 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 2 September 2026
Posts held40 (5 August 2026 – 2 September 2026)
Views total11,848
Reactions total880
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 23:33 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
5m 50s
Average length
25s

Measured directly from 14 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

1,897 reactions across 39 posts, in 10 distinct kinds. The most used accounts for 45.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤85445.0%
🔥49025.8%
👍20410.8%
custom 52493294517407069731507.91%
🥰573.00%
💘542.85%
😁412.16%
🎉221.16%
🤩140.738%
😢110.58%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 39 of the 40 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 1,897 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 5 August 2026 to 2 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.

Recent posts

2 Sept 2026, 06:57 UTC604 views58 reactionsread 2 September 2026
Photo

Собрали для вас самые актуальне сочетания с тёмно-синим. Тёмно-синий и бежевый Сочетание, которое всегда выглядит дорого, спокойно и интеллектуально. Холодная глубина синего и мягкое тепло бежевого создают безупречный баланс. • Жакет из костюмной ткани с открытыми срезами • Брюки-палаццо из костюмной ткани • Футболка из вискозы Тёмно-синий и жёлтый Благородный контраст. Глубокий синий красиво оттеняет солнечные или…

🔥24❤22🤩10👍2

1 Sept 2026, 11:18 UTC≈1,440 views329 reactionsread 2 September 2026
Photo

РОЗЫГРЫШ POMPA х FRANCESCO DONNI 1 сентября задает особый ритм. Это время, когда хочется собрать гардероб заново: добавить в него вещи с характером и безупречной архитектурой. Мы дарим вам эту возможность. Участвуйте в нашем розыгрыше и выигрывайте призы: ❤️ Жакет на выбор из коллекции POMPA ❤️ Казаки от Francesco Donni Чтобы принять участие: 1. Подпишитесь на каналы POMPA и Francesco Donni 2. Поставьте лайк на эт…

❤187🔥68👍54💘15😁3🎉2

1 Sept 2026, 06:37 UTC914 views84 reactionsread 2 September 2026
Photo

1 сентября — это всегда про начало. В этот день принято желать успехов. А мы хотим пожелать вам удовольствия от собственного пути. Учиться новому, слышать свои желания, выбирать только то, что отзывается в сердце. Это повод замедлиться, прислушаться к себе и выбрать свой собственный ритм на эту осень. Пусть этот сезон будет тёплым, глубоким и душевным. С любовью, команда Pompa.

❤40custom 524932945174070697331👍13

31 Aug 2026, 14:31 UTC972 views82 reactionsread 2 September 2026
Video

Осторожно, уровень идеальности зашкаливает!🤭 Отмечай ту, кому срочно нужен такой мужчина в комментариях! Собираем осенний гардероб, пока ваш идеальный мужчина в пути.

❤46🔥19🥰12🎉5

31 Aug 2026, 11:06 UTC978 views61 reactionsread 2 September 2026
Photo

Знакомьтесь с новинкой — трендовый бомбер из премиальной шелковистой шерсти Свободный рубашечный рукав не стесняет движений, а широкие резинки на манжетах и по низу создают идеальную посадку. ▫️ Аккуратный воротник-стойка ▫️ Вместительные карманы с клапанами ▫️ Двухзамковая молния ️▫️Комфортная вискозная подкладка Ещё больше новинок верхней одежды по ссылке, в приложении и магазинах Pompa.

❤45🎉15👍1

30 Aug 2026, 09:24 UTC≈1,070 views76 reactionsread 2 September 2026
Forwarded from @iness_merteuilPhoto

Кажется, этому образу просто нельзя было придумать другую локацию. Люблю такие вещи — когда всё вроде бы очень просто, но за счёт силуэта, деталей и качества ткани образ сразу выглядит собранным. В Pompa мне как раз нравится их внимание к дизайну и материалам: вещи выглядят элегантно, но при этом остаются вполне носибельными. И что особенно приятно — каждый раз, когда заглядываю к ним, нахожу что-то своё. Кажется, эт…

❤40💘15🥰11🔥10

29 Aug 2026, 09:11 UTC≈1,100 views42 reactionsread 1 September 2026
Video

То, что обычно остаётся за кадром и уходит в архив. Наша последняя съёмка передаёт настроение бархатной осени. Когда солнце ещё мягко греет, но в воздухе уже витает предчувствие перемен. Искренний детский смех, тёплые взгляды, семейные ценности и тот самый уют, который хочется поставить на паузу. Именно эту атмосферу мы хотели передать вам. Благодарим друзей бренда https://t.me/nunki_store за волшебные образы для …

❤23🔥14💘4👍1

28 Aug 2026, 11:49 UTC≈1,040 views37 reactionsread 31 August 2026
Forwarded from @marymonroy_notesPhoto

Ещё совсем немного лета осталось — в тёплом воздухе, солнечных вечерах и желании задержать август. Но уже чувствуется: осень приходит тихо, почти незаметно. В прохладном утре. В золотистом свете. В запахе дождя и первых опавших листьев. В желании замедлиться и накинуть любимый тренч. Люблю это настроение, когда живешь в моменте 💛 📍Хитровский переулок Тренч/блуза/брюки: Pompa

🔥17❤11custom 52493294517407069739

27 Aug 2026, 14:49 UTC≈1,330 views32 reactionsread 29 August 2026
Video

«Ни в одной куртке вы не будете выглядеть также роскошно, как в пальто..», - считает стилист Татьяна Воробьёва. И мы не можем не согласиться. Ссылки на пальто из видео: • Пальто-жакет из шерсти с мембраной • Пальто из шерсти с мембраной в меланжевом сером цвете • Пальто из шерсти с мембраной в цвете кэмел • Демисезонное синее пальто из шерсти с мембраной • Пальто из шерсти с мембраной в чёрно-синем цвете Уже выбра…

🔥18❤10👍2😁2

27 Aug 2026, 10:23 UTC≈1,270 views27 reactionsread 29 August 2026
Photo

Знакомимся с новинками верхней одежды. Демисезонная куртка силуэта кокон твидовой шерстяной ткани с классическим принтом «елочка». Объёмный крой и рукав реглан дарят свободу движений, а широкий воротник-стойку можно полностью запахнуть — для максимальной защиты от ветра. Практичная и стильная защита от непогоды. Мембрана RaftPro — невесомый слой между основной тканью и подкладкой, оберегает от ветра и влаги, сохран…

🔥12custom 52493294517407069738❤6👍1

26 Aug 2026, 10:38 UTC≈1,130 views52 reactionsread 28 August 2026
Video

6 цветовых формул, которые изменят ваш гардероб. Сохраняйте, чтобы не потерять. Поделитесь, какое сочетание цветов вам больше по душе? Все образы из видео доступны на pompa.ru, в приложении и магазинах Pompa.

🔥26👍14❤12

Showing the 12 most recent of 40 posts we hold for @pompa_fashion. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 5 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.

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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“POMPA” (@pompa_fashion), 12,400 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/pompa_fashion.

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.