Telegram RegisterThe public register of Telegram

Channel

DaVinci

@davincires

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

7,883subscribers

+28 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001412366254
TypeChannel
Username@davincires
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/davincires

Growth

7,8557,8837,8696 August 2026 — 7,855 subscribers7 August 2026 — 7,858 subscribers10 August 2026 — 7,868 subscribers13 August 2026 — 7,883 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +28. 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 7,851–7,887 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 10:137,883+15
10 Aug 2026, 06:207,868+10
7 Aug 2026, 02:587,858+3
6 Aug 2026, 20:457,855first reading

Engagement

52 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.70%
avg views ÷ 7,883 subscribers
Avg views / post
292
52 posts measured
Reaction rate
0.293%
reactions ÷ views · ER floor
Posts in window
52
of 52 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. It is computed over the 6 of 52 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held52 (3 August 202612 August 2026)
Views total15,158
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:03 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
4h 12m
Average length
7m 00s

Measured directly from 36 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

5 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍360.0%
240.0%

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 6 of the 52 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 52 most recent posts we hold, published 3 August 2026 to 12 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.

Recent posts

12 Aug 2026, 16:01 UTC53 viewsread 12 August 2026
Video

Лайфхак по созданию мягкого контраста в DaVinci #лайфхак Оригинал

12 Aug 2026, 14:00 UTC99 viewsread 12 August 2026

Основы типографики в дизайне: базовые термины и принципы текстового набора Куратор программы Британки объясняет базовые термины типографики и дает правила оформления текста для книг, интерфейсов и сайтов Читать на дизайнерс | #статья

12 Aug 2026, 11:01 UTC144 viewsread 12 August 2026
Video

Лайфхак как быстро закрепить ноду. #лайфхак DaVinci

12 Aug 2026, 07:53 UTC186 viewsread 12 August 2026
Photo

7 дней бесплатного обучения UX/UI-дизайну Представь, каких результатов ты достигнешь под наставничеством дизайнеров с 9-летним опытом и кейсами от крупных брендов. Уже в первую неделю обучения ты освоишь Figma, сделаешь 5 дизайн-проектов и получишь стратегию роста в веб-дизайне с нуля до 2000$ в месяц. 👉 Запишись до 12 августа — участие бесплатно.

12 Aug 2026, 06:04 UTC193 viewsread 12 August 2026
Video

Интересный способ создания эффекта плёнки #урок Оригинал

12 Aug 2026, 04:01 UTC203 views1 reactionsread 12 August 2026
Video

Простой урок по созданию градиентного фона в DaVinci #урок Оригинал

1

11 Aug 2026, 16:02 UTC241 views1 reactionsread 12 August 2026
Video

Круто смонтированный ролик с Парижа #вдохновение

1

11 Aug 2026, 15:17 UTC228 viewsread 12 August 2026
Photo

Продвижение для агентств. Бесплатно. Без СМС, но с регистрацией Студийная и дизайнерс запустили совместную активность для агентств, студий и всех всех, кто делится своей экспертизой. В августе публикации на дизайнерс можно отправить на участие в розыгрыше бесплатного продвижения. Подойдут кейсы, статьи, исследования, текстовые туториалы, чек-листы, дайджесты и другие материалы. Что можно получить: 🟠 3 бизнес-подпи

11 Aug 2026, 14:01 UTC235 viewsread 12 August 2026

Seedance 2.5: как писать промпты, которые она точно понимает Вторая часть серии о Seedance 2.5. Узнай, почему 4K обернулось маркетинговым трюком, и как создать рабочий промпт по официальному гайду. Готовые промпты ждут тебя - просто возьми и адаптируй под себя Читать на дизайнерс | #статья

11 Aug 2026, 11:03 UTC259 viewsread 12 August 2026
Video

Простой урок по созданию прикольного глитч эффекта #лайфхак Оригинал

11 Aug 2026, 06:04 UTC299 viewsread 12 August 2026
Video

Классный урок по созданию светового эффекта в DaVinci resolve #урок

11 Aug 2026, 04:00 UTC292 viewsread 12 August 2026
Video

Подробный урок по латам в DaVinci resolve #урок Оригинал

Showing the 12 most recent of 52 posts we hold for @davincires. 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.

Mentions

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

“DaVinci” (@davincires), 7,883 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/davincires.

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.