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 25 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
4 measurements spanning 56 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 148–150 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Oct 2026, 15:42
148
-1
30 Aug 2026, 22:33
149
-1
8 Aug 2026, 19:47
150
no change
7 Aug 2026, 19:12
150
first reading
Engagement
19 posts held, back to 3 January 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 05s
Average length
23s
Measured directly from 8 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
239 reactions across 17 posts, in 11 distinct kinds. The most used accounts for 28.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
69
28.9%
🔥
67
28.0%
👍
52
21.8%
custom 5267500801240092311
16
6.69%
🤩
11
4.60%
custom 5438496463044752972
7
2.93%
custom 5220228385430577713
6
2.51%
custom 5226928895189598791
4
1.67%
🎉
3
1.26%
🦄
3
1.26%
🆒
1
0.418%
Custom emoji. 4 of the rows above are 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 counts beside them are 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 17 of the 19 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 239 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 3 January 2026 to 4 August 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 18 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dtfufa. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 19 most recent posts we hold for this entry, published 3 January 2026 to 4 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Объявляю краш-тест! Зайдите в бота @dtfufa_bot, понажимайте кнопки, введите туда самый дикий тираж или странный формат. Ломайте его полностью! 🔨
🐞 С меня бонус:
Если бот выдаст ошибку, зависнет или посчитает триллион рублей за один принт — швыряйте скриншот в комментарии. Первым трем «взломщикам» подарю скидку 15% на следующий заказ!
Жду ваши скрины в комментариях 👇
🔥 Вовсю тружусь над созданием умного калькулятора стоимости DTF-печати.
Больше никаких долгих ожиданий ответа и сложных ручных просчетов. Совсем скоро вы сможете моментально узнать точную цену своего заказа: просто введя размер принта и тираж.
Делаю сервис быстрее и удобнее для вас. Следите за обновлениями, запуск уже близко! 🚀
Журналисты из телеканала БСТ приехали узнать, как современные технологии меняют привычные вещи, и сняли крутой репортаж о нашем главном секрете — взаимодействии искусственного интеллекта и создания уникальных принтов на футболках. 🤖👕Поговорили о том, как ИИ помогает генерировать безумные идеи, ускоряет творческий процесс и позволяет делать для вас по-настоящему эксклюзивный мерч.
Друзья, подписчики, наши дорогие клиенты — спасибо вам огромное за поздравления! Читаем каждое сообщение, и это невероятно заряжает энергией. Вы — лучшая аудитория, ради которой хочется развивать «ДТФ Уфа» каждый день. Спасибо, что вы с нами. Ценю каждого. Работаем дальше!
На фото — мой друг и создатель крутых путешествий @turizm_po_rb. Специально для его туров я сделал этот уникальный мерч: на спине черной футболки красуется четкий контур Башкирии, а точка и точные координаты ведут прямиком к легендарному водопаду Атыш. 📍🗺️
Недавно я сам побывал у него на однодневном туре к Атышу. Прыгал с водопада. Это было мощно, красиво и максимально продумано. Бро, спасибо за доверие к моему принт…
Качество печати 🔥 В наличии есть футболки высокого качества! Белые, черные, бордовые, фасон oversize.
Распечатаем и нанесем любые принты на футболки, лонгсливы, худи, кепки, шопперы и т.д. #DTFUfa @dtfufa
🔥 Футболки с индивидуальным принтом — стиль, который говорит за тебя.
Наносим DTF-термотрансферы на свои футболки и на одежду клиента. Чёткое изображение, насыщенные цвета, стойкость к стирке — принт не трескается и не выцветает со временем.
✅👕 Моя плотная футболка + принт — 2900 ₽
👕 Ваше изделие + нанесение — 900 ₽
Можно реализовать: — фото — надписи — логотипы — любые индивидуальные дизайны
Отличный вариант для …
🔥11👍5🤩4custom 54384964630447529721
Showing the 12 most recent of 19 posts we hold for @dtfufa. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@dtfufa named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@zont_studio_rus named in 1 post, 9 August 2026 – 9 August 2026
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 2 October 2026 — this
entry's latest reading, not the date you are reading this.
“ДТФ УФА” (@dtfufa), 148 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/dtfufa.
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.