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Channel

Tilda Publishing News

@tildanews

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

32,969subscribers

-24 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001028479483
TypeChannel
Username@tildanews
Created28 January 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/tildanews

Growth

32,96932,99532,9825 August 2026 — 32,993 subscribers6 August 2026 — 32,993 subscribers6 August 2026 — 32,991 subscribers8 August 2026 — 32,995 subscribers8 August 2026 — 32,979 subscribers10 August 2026 — 32,978 subscribers11 August 2026 — 32,987 subscribers12 August 2026 — 32,986 subscribers13 August 2026 — 32,979 subscribers14 August 2026 — 32,981 subscribers16 August 2026 — 32,969 subscribers5 August 202616 August 2026
11 measurements spanning 10 days, net -24. 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 32,965–32,999 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 01:4632,969-12
14 Aug 2026, 09:2832,981+2
13 Aug 2026, 00:4432,979-7
12 Aug 2026, 02:1332,986-1
11 Aug 2026, 00:1132,987+9
10 Aug 2026, 00:4232,978-1
8 Aug 2026, 23:0432,979-16
8 Aug 2026, 00:2532,995+4
6 Aug 2026, 22:5632,991-2
6 Aug 2026, 01:5132,993no change
5 Aug 2026, 22:2332,993first reading

Engagement

15 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 22 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.54%
avg views ÷ 32,969 subscribers
Avg views / post
2,820
15 posts measured
Reaction rate
1.58%
reactions ÷ views · ER floor
Posts in window
15
of 15 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 15 August 2026
Posts held15 (28 July 202615 August 2026)
Views total42,235
Reactions total668
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 14:04 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.

Reaction mix

485 reactions across 11 posts, in 15 distinct kinds. The most used accounts for 39.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥18939.0%
18538.1%
👍489.90%
😁173.51%
🤝142.89%
👀91.86%
71.44%
40.825%
👏40.825%
👌20.412%
🤔20.412%
❤‍🔥10.206%
🎃10.206%
🗿10.206%
🥰10.206%

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 15 of the 15 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 668reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 28 July 2026 to 15 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

15 Aug 2026, 13:33 UTC385 views7 reactionsread 15 August 2026
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Вебинар «Как сэкономить на фотографиях для сайта в 2026 году» Где не обойтись без реальных фото, а с какими задачами поможет ИИ — узнаете на бесплатном вебинаре 21 августа. 👉 Запишитесь, чтобы получить ссылку перед началом: https://t.me/TildaEventsBot?start=dl-17858712308bef660c3dcd На вебинаре разберём: 🟠Какие фотографии необходимы для наполнения сайта; 🟠Как сэкономить бюджет: 4 реально работающих способа; 🟠Что

4👍2👀1

14 Aug 2026, 14:19 UTC≈1,830 views45 reactionsread 15 August 2026
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🆕 Задачи — новый раздел в Tilda CRM В Tilda CRM появился раздел «Задачи» для хранения списка дел по заявкам в одном месте. Теперь можно назначать ответственных, устанавливать сроки и приоритеты, добавлять чек-листы и связывать задачи с конкретными заявками. В карточках рассказываем подробнее 👉 Инструкцию по работе с разделом «Задачи» читайте в Справочном центре: https://help-ru.tilda.cc/tilda-crm/tasks Где найти:

🔥2414👍6👌1

14 Aug 2026, 10:02 UTC≈2,130 views45 reactionsread 15 August 2026
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🌉 Как заработать на музыке 800 000 ₽ в месяц? «Дело в сети» — новый проект Tilda о людях, которые развивают своё дело через интернет. Герой первого выпуска — Владимир Павлов, владелец музыкальной школы «Школа Нот» в Красноярске. Он рассказал, как превратил уроки музыки в бизнес, вырос с 300 000 до 800 000 ₽ в месяц и какие инструменты помогают школе привлекать новых учеников. 📱 Смотреть в ВК: https://vkvideo.ru/vi

15😁15👍7🔥4👀2🤔2

13 Aug 2026, 13:15 UTC≈2,470 views33 reactionsread 15 August 2026
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Вебинар «Создание многостраничного сайта на Тильде с помощью CMS Потоки» Как ускорить создание и запуск многостраничных сайтов, используя новую CMS Потоки — узнаете на бесплатном вебинаре 19 августа. 👉 Запишитесь, чтобы получить ссылку перед началом: https://t.me/TildaEventsBot?start=dl-1783505620de15fcc57be4 На вебинаре разберём: 🟠 Как устроена новая система управления контентом; 🟠 Как добавлять и редактировать с

227👀4

12 Aug 2026, 14:02 UTC≈2,800 views43 reactionsread 15 August 2026
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🎥 Почему красивые сайты не приносят заказов и как это исправить? В этом видео Антон Командин — UX/UI-дизайнер, арт-директор Experience Agency и куратор Школы Тильды — рассказывает, почему фокус только на визуале может приводить к потере клиентов и как сместить внимание на результат. Вы узнаете, как мыслить не только как художник, но и как инженер, проверять гипотезы с помощью Яндекс Метрики и на основе данных улучш

16🔥16👍4👏3👀2👌1🗿1

11 Aug 2026, 11:13 UTC≈3,090 views51 reactionsread 15 August 2026
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🆕 Редактирование названия раздела «Все» в каталоге товаров Теперь стандартное название раздела «Все» можно заменить на любое другое. Например, «Все товары» или «Каталог». Это поможет адаптировать каталог под тематику вашего магазина и сделать навигацию более понятной. Новое название будет отображаться не только в панели управления каталогом, но и на сайте — в списке разделов и в хлебных крошках. Где найти: Катало

🔥2810👍8😁2❤‍🔥1👏1🥰1

8 Aug 2026, 10:01 UTC≈3,830 views41 reactionsread 15 August 2026
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Лицензии на шрифты: памятка ответственного дизайнера 🌟 У каждого шрифта есть лицензия с условиями его применения. Использование шрифта означает согласие с этими условиями, а их нарушение может привести к юридическим претензиям и проблемам при запуске проекта. В карточках рассказываем, какие бывают лицензии и где дизайнеру искать бесплатные шрифты ✨ Какими сервисами для поиска шрифтов вы пользуетесь чаще всего? Дел

30🔥64🎃1

7 Aug 2026, 11:01 UTC≈4,220 views91 reactionsread 14 August 2026
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🆕 Добавление на сайт файлов llms.txt и llms-full.txt Теперь вы можете добавить на сайт файлы llms.txt и llms-full.txt. Такие файлы могут стать частью стратегии GEO — оптимизации сайта, чтобы нейросетям было проще понимать и использовать его контент. Это особенно полезно, если вы хотите, чтобы нейросети точнее отвечали на вопросы о вашем бренде, продуктах или сервисах. Какие нейросети читают llms.txt: Российские:

🔥6520👍6

6 Aug 2026, 11:02 UTC≈3,260 views50 reactionsread 14 August 2026
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Как передать настроение в дизайне? 🌟 Настроение в дизайне — это впечатление, которое возникает у человека ещё до того, как он начинает читать текст или изучать интерфейс. Оно формируется с помощью цвета, типографики, композиции, изображений и других визуальных элементов, которые помогают передать характер бренда и вызвать нужные эмоции. В карточках поста разбираем, какие визуальные приёмы помогают передать разные н

30🤝12🔥6👍2

5 Aug 2026, 11:04 UTC≈2,320 views23 reactionsread 8 August 2026
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🗓 Бесплатные вебинары Тильды в августе В августе узнаете, как упростить и ускорить создание многостраничных сайтов, получить трафик и продажи, сэкономить на фотографиях и попасть в рекомендации ИИ. Регистрируйтесь, чтобы получить ссылку на вебинар перед началом: 🟠19 августа в 13:00 Создание многостраничного сайта с помощью CMS Потоки https://t.me/TildaEventsBot?start=dl-1783505620de15fcc57be4 🟠21 августа в 13:00 К

13👍6🔥3🤝1

4 Aug 2026, 12:04 UTC≈2,620 views56 reactionsread 8 August 2026
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🛠 Обновление панели редактирования Вайб-блока Работать с Вайб-блоком стало ещё удобнее: панель контента теперь встроена в боковую колонку, появились настройки сетки (Grid), а также отдельное управление внутренними и внешними отступами элементов. В карточках рассказываем подробнее 👉 Как вам обновление? Делитесь в комментариях 💬

🔥3711👍7🤝1

3 Aug 2026, 11:01 UTC≈2,660 views72 reactionsread 6 August 2026
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🆕 Frame — новый шаблон из категории PRO, созданный в Zero Block Современный шаблон с акцентом на визуальное повествование и презентацию проектов. Подойдёт для сайтов креативных агентств, дизайн-студий, брендинговых бюро и специалистов, которым важно показать свои работы во всей красе. Посмотрите, как выглядит новый шаблон 👉 https://frame-template.tilda.ws/ При создании шаблона использовались автолейауты — в нём бу

Showing the 12 most recent of 15 posts we hold for @tildanews. 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 — 12,435 of 1,480,944entries 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

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 10 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.

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.

Figma Design
@figmadesign · 106,748
Telegram ranks this channel #92 of 94 here — alongside 93 others — read 15 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q55656996 on Wikidata, read 9 August 2026
LabelTilda
Descriptionwebsite builder
X / Twitter@TildaPublishing
YouTubeUC6-ppjYyf8AmvNuwr28CS_w
Official sitehttps://tilda.cc

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

“Tilda Publishing News” (@tildanews), 32,969 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/tildanews.

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.