Канал студии Кёрвс про дизайн, разработку, продукты и конструкторы
Наши кейсы👉🏻https://curvesdigital.ru/
Если хотите сделать с нами проект, пишите Юле 👉🏻 t.me/myshlyaeva
Created
Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
2 measurements taken within a single day. 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 178–180 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 13:16
179
no change
7 Aug 2026, 20:43
179
first reading
Engagement
9 posts held, back to 14 May 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
93.2%
avg views ÷ 179 subscribers
Avg views / post
167
5 posts measured
Reaction rate
7.91%
reactions ÷ views · ER floor
Posts in window
5
of 9 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 5 August 2026
Posts held
9 (14 May 2026 – 5 August 2026)
Views total
834
Reactions total
66
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 13:16 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
Photos
232
Videos
10
Links
88
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
23s
Average length
12s
Measured directly from 2 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
105 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 54.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
57
54.3%
👏
20
19.0%
👀
9
8.57%
custom 5190674062631791357
7
6.67%
custom 5190455809573676525
6
5.71%
custom 5190457712244186924
6
5.71%
Custom emoji. 3 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 areTelegram’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 9 of the 9 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 105reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 14 May 2026 to 5 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.
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Перенять опыт: как Яндекс использует ИИ
В серии практических видео эксперты Яндекса поделятся своими подходами к работе с ИИ: как ставить задачи, выстраивать процессы, проверять результат, экономить время и применять инструменты при создании цифровых продуктов.
1️⃣ИИ для идей и креативов — как использовать ИИ для исследований и мозгового штурма: изучать аудиторию, проверять гипотезы и развивать идеи до сильных конц…
Запустились с одним из тех самых новых проектов для видеодепартамента Яндекс Практикума!
https://start.practicum.yandex/ai_series/ — это ИИ-сериал, в котором арт-директора, продакт-менеджеры и шеф-редакторы Яндекса и Yango рассказывают и показывают, как они используют ИИ в своей повседневной работе.
Запустили серию промо Яндекс Практикума для молодой аудитории и студентов:
Раз — https://practicum.yandex.ru/promo/grant/ — весомая скидка на обучение в Яндекс Практикуме. На странице мы подсветили (и анимировали) все бонусы доступные студентам во время обучения: опыт на реальных кейсах, общение с экспертами индустрии и сплоченное сообщество выпускников.
Два — https://practicum.yandex.ru/promo/young/ — может быть е…
Несколько месяцев назад мы рассказывали, что дорабатываем айдентику и создаем сайт для премии «Сделано с ИИ» Яндекс Практикума.
А вчера побывали на самой церемонии награждения победителей.
Первая премия получилась очень теплой. Сильные проекты от не-разработчиков и не-программистов (!), классная атмосфера и команда.
Очень ценно видеть, как тепло и по-человечески команда Яндекс Практикума делает вещи, которые двига…
С командой видео продакшена Яндекс Практикума мы делаем много разных проектов. Недавно запустился еще один — серия из четырёх вебинаров по 40 минут «Не просто мидл: как захотеть нанять себя». Подробнее в посте: https://t.me/yndx_practicum/7912
В августе намечается еще один релиз: создаем новый формат для хаба с бесплатными видео от Практикума! Stay tuned!
Интенсив по вайбкодингу — новый образовательный продукт Яндекс Практикума, который помогает за 8 дней пройти путь от идеи до рабочего прототипа с помощью ИИ.
Мы участвовали в разработке лендинга и помогали создавать цифровой опыт, который делает тему вайбкодинга понятной и доступной даже для тех, кто никогда не работал с кодом!
Особенно ценно быть частью проектов, которые помогают людям быстрее осваивать новые техн…
Высшее образование — один из самых масштабных продуктов Яндекс Практикума, и нам особенно приятно быть частью его развития.
Ещё в 2024 году мы работали над первой версией главной страницы, когда программа только запускалась. А сейчас запустили новую версию — https://practicum.yandex.ru/high-education/.
Рады быть частью этого пути и продолжать развивать продукт вместе с командой Практикума ✨
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Мы использовали Recraft на ранних стадиях проекта «Войти в бигтех», а также для иллюстраций проекта «Руководитель будущего».
В карточках можно посмотреть визуалы для проекта, а также то, чем Recraft реально отличается от других нейронок 〰️
На своем опыте мы поняли, что для дизайнерских задач это ощущается намного ближе к рабочему инструменту, чем многи…
❤5👀3custom 51904577122441869242
Showing the 9 most recent of 9 posts we hold for @curvesdigital. 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 — 793,658 of 1,160,990entries 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
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.
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Кёрвс: дизайн и разработка | curves.digital” (@curvesdigital), 179 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/curvesdigital.
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.
