Ecommerce storefront — 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 96% 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
31 measurements spanning 39 days, net +395. 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 10,509–11,039 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
15 Sept 2026, 12:59
10,968
-10
13 Sept 2026, 18:57
10,978
+22
11 Sept 2026, 22:15
10,956
+5
9 Sept 2026, 12:57
10,951
+32
6 Sept 2026, 06:59
10,919
-21
4 Sept 2026, 00:16
10,940
+3
2 Sept 2026, 11:38
10,937
-3
1 Sept 2026, 13:44
10,940
-7
31 Aug 2026, 10:13
10,947
+13
30 Aug 2026, 08:07
10,934
+53
29 Aug 2026, 05:04
10,881
-2
28 Aug 2026, 07:44
10,883
-1
27 Aug 2026, 06:44
10,884
-4
25 Aug 2026, 04:57
10,888
+2
24 Aug 2026, 00:35
10,886
+1
22 Aug 2026, 06:36
10,885
-2
20 Aug 2026, 19:33
10,887
-7
19 Aug 2026, 19:08
10,894
-1
18 Aug 2026, 20:33
10,895
-3
17 Aug 2026, 18:44
10,898
first reading
Engagement
39 posts held, back to 1 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 41 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.5%
avg views ÷ 10,968 subscribers
Avg views / post
2,250
10 posts measured
Reaction rate
1.79%
reactions ÷ views · ER floor
Posts in window
10
of 39 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
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
39 (1 August 2026 – 2 September 2026)
Views total
22,520
Reactions total
404
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 02:32 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
6s
Average length
6s
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
1,841 reactions across 39 posts, in 16 distinct kinds. The most used accounts for 70.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,306
70.9%
🔥
324
17.6%
❤🔥
110
5.98%
💯
45
2.44%
🕊
12
0.652%
💘
10
0.543%
👏
9
0.489%
😐
8
0.435%
🤩
4
0.217%
👍
3
0.163%
😁
3
0.163%
🍓
2
0.109%
👎
2
0.109%
🌚
1
0.054%
💔
1
0.054%
🗿
1
0.054%
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 39 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 1,841 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 1 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.
Але сезон голих ніг і красивих суконь ми ще продовжуємо!
Фантастичні Musecloths одягнуть нас на теплі весілля, дні народження, просто красиві події і виходи.
Увага на 4-те фото! Не боїмося вдягати легкі сукні із бомберами, парками, чоботами й тренчами, як Надя Шаповал.
Телеграм канал бренду із неопублікованими новинками та додатковими знижками тут👈🏻
Перше вересня = перший день осіннього дощу, а значить — розпочалась ера мʼяких, комфортних і красивих луків! 🍂
25 union store у новій колекції «Родовід. Сила поколінь» пропонує кардигани, палантини та ще купу всього в різних кольорах — обираємо найкомфортніший і зустрічаємо осінь красиво!
Колекцію дивимося тут 👈🏻
Історію створення кардигану читаємо тут 👈🏻
Як корисно я проведу свій перший день у Києві😍😍😍
Йду на бізнес-конференцію «Нові правила гри. Стратегії стійкості та реальних продажів», яку організувує піар агенція white rabbit agency та UFW.
І вас туди запрошую! Ходіть дізнаватись про:
1. Продажі в Україні: стійкість та локальна лояльність.
2. Global Markets: стратегії виходу та експансії.
3. Від іміджу до продажів: як маркетинг та клієнтелінг працюють на резул…
Сьогодні ходжу по локаціях, які вам рекомендувала в пості #вайбвихідногодня вище.
І шо вам скажу, - прекрасно проводжу час. Купила сукню і лосіни з семпл сейлу в Kachorovska і довольна як слон.
П.С. Юра (фото 4) вас чекає! Завтра сейл також буде!
Після столичного перфомансу від бренду Bazhane, маю тепер +4 позиції, які б з легкістю застосувала у власному гардеробі:
Розслаблені атласні брюки. Можна в офіс, і ніхто не запитає чи ви прийшли піжамних брюках. Також, гарна ідея поєднювати такі глянцеві тканини із пухнастими светрами, буде гарний мікс фактур.
Блуза. Комір-стійка та акцентні плечі формують виразний силует, водночас рюшки внизу роблять образ ніжним…
Ще одна подія, на яку теж буду пробувати встигнути цими вихідними (і не тільки, в понеділок теж буде):
КРАФТ•АРТ•ВІНТАЖ від Tlum&Kram!
- вироби від локальних майстрів і брендів,
- роботи українських митців й авторські артдобірки,
- вінтажний декор, посуд, книги, прикраси, аксесуари та багато іншого (одягу там теж зазвичай, вдосталь!)
22-24 серпня
12:00-19:00
9 «Компресорна», LEM Station
вул. Вітовського, 57…
❤22
Showing the 12 most recent of 39 posts we hold for @streetstylehunter. 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.
Posts edited after publishing
@streetstylehunter edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
18 August 2026
Most recent edit
18 August 2026
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
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Львів | Зберігай локацію! @lviv_location · 39,055 Telegram ranks this channel #66 of 68 here — alongside 67 others — read 30 August 2026
Львівський купол @lviv_raketna · 62,938 Telegram ranks this channel #78 of 81 here — alongside 80 others — read 23 August 2026
Оповіщення ЦЗ @dczloda · 345,482 Telegram ranks this channel #81 of 87 here — alongside 86 others — read 10 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Street Style Hunter” (@streetstylehunter), 10,968 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/streetstylehunter.
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.