Telegram RegisterThe public register of Telegram

Channel

Людочка, плагины!

@ludochka_plugins

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

19,375subscribers

+10 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001942761834
TypeChannel
Username@ludochka_plugins
CreatedBetween 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/ludochka_plugins

Growth

19,36219,37919,370.57 August 2026 — 19,365 subscribers7 August 2026 — 19,365 subscribers7 August 2026 — 19,367 subscribers8 August 2026 — 19,362 subscribers10 August 2026 — 19,368 subscribers11 August 2026 — 19,365 subscribers12 August 2026 — 19,371 subscribers13 August 2026 — 19,379 subscribers14 August 2026 — 19,375 subscribers19,3757 August 202614 August 2026
9 measurements spanning 7 days, net +10. 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 19,359–19,382 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 12:0619,375-4
13 Aug 2026, 01:3519,379+8
12 Aug 2026, 04:1219,371+6
11 Aug 2026, 03:3419,365-3
10 Aug 2026, 02:0119,368+6
8 Aug 2026, 23:0319,362-5
7 Aug 2026, 21:2719,367+2
7 Aug 2026, 12:3119,365no change
7 Aug 2026, 12:2019,365first reading

Engagement

24 posts held, back to 10 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 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.93%
avg views ÷ 19,375 subscribers
Avg views / post
1,730
20 posts measured
Reaction rate
0.844%
reactions ÷ views · ER floor
Posts in window
20
of 24 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 14 August 2026
Posts held24 (10 July 202614 August 2026)
Views total34,587
Reactions total292
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 08:42 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

355 reactions across 24 posts, in 5 distinct kinds. The most used accounts for 44.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15744.2%
🔥13437.7%
👍5716.1%
❤‍🔥41.13%
🙏30.845%

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 24 of the 24 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 355reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 10 July 2026 to 14 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

14 Aug 2026, 07:05 UTC288 views4 reactionsread 14 August 2026
Video

Spacegen - Inspiration Collection Плагин для поиска референсов прямо в Figma. Можно фильтровать их по источнику, смотреть рефы для десктопа или мобилки и сохранять интересные на холст. Поддерживает Dribbble, Behance, Awwwards, Framer, Land-book и другие платформы. #прочее Людочка, плагины – отборные плагины в Фигме

4

13 Aug 2026, 07:05 UTC629 views6 reactionsread 14 August 2026
Video

Vector Pattern Lab — Dots, Lines & Shapes Генерирует векторную графику из точек, линий и фигур. Есть предпросмотр в реальном времени, тонна настроек, пресеты и экспорт в SVG. #иллюстрации Людочка, плагины – отборные плагины в Фигме

6

11 Aug 2026, 07:05 UTC960 views7 reactionsread 14 August 2026
Video

Mesh Gradient Generator Бесплатный инструмент для создания сложных градиентов. Можно двигать цветовые точки, настраивать мягкость, искажение и зерно, подбирать гармоничные палитры и брать цвета прямо с холста. Есть 30 пресетов и экспорт до 4K. #цвет Людочка, плагины – отборные плагины в Фигме

5👍2

10 Aug 2026, 07:05 UTC≈1,180 views11 reactionsread 14 August 2026
Video

UX Writing Helper Плагин для дизайнеров и редакторов, который помогает писать и проверять интерфейсные тексты прямо в Figma. Генерирует и переписывает тексты, проверяет их по редполитике и Tone of Voice, а ещё умеет искать нужные правила в загруженных гайдах. #текст Людочка, плагины – отборные плагины в Фигме

7👍2🔥2

7 Aug 2026, 07:05 UTC≈1,600 views12 reactionsread 14 August 2026
Video

Dot Matrix Превращает изображения в стилизацию под точечные LED-дисплеи за пару кликов. Важно: работает строго с векторными слоями. Отлично для ретро-визуалов, постеров и экспериментов в интерфейсе. #эффекты Людочка, плагины – отборные плагины в Фигме

👍63🔥3

6 Aug 2026, 07:05 UTC≈1,620 views21 reactionsread 14 August 2026
Video

Touch Grass Крошечный таймер для дизайнеров, которые забывают делать перерывы. Пока вы работаете, на экране растёт пиксельная трава, а когда она вырастет — пора отойти от компьютера и, возможно, потрогать настоящую) #прочее Людочка, плагины – отборные плагины в Фигме

19👍1🔥1

5 Aug 2026, 11:30 UTC≈1,570 views14 reactionsread 14 August 2026
Video

Beautiful Mockups Плагин с реалистичными мокапами iPhone. Можно выбрать фрейм и точно настроить ракурс либо использовать готовую сцену — результат экспортируется за пару секунд. #мокапы Людочка, плагины – отборные плагины в Фигме

10🔥2❤‍🔥1👍1

4 Aug 2026, 07:05 UTC≈1,500 views7 reactionsread 14 August 2026
Video

CharacterForge - Character Generator Генерирует 3D-персонажей без сложных настроек и промтов — достаточно выбрать детали внешности. Нужна регистрация, а количество бесплатных генераций ограничено. #3D Людочка, плагины – отборные плагины в Фигме

🔥51👍1

3 Aug 2026, 17:30 UTC≈1,480 views10 reactionsread 14 August 2026
Photo

Лучшее за июль 1. OPENMUSE – ищет произведения искусства из открытых коллекций музеев 2. Charts+ (by Highcharts) – генерирует диаграммы: от линейных и круговых до более редких 3. AI FREE MULTI-TOOL – мощный бесплатный набор ИИ-инструментов для работы с фото Людочка, плагины – отборные плагины в Фигме

🔥81👍1

31 Jul 2026, 07:16 UTC≈1,870 views16 reactionsread 14 August 2026
Video

Stroke to Waves Преобразует линии и контуры, нарисованные пером или карандашом, в волны. Можно настроить амплитуду, длину и другие параметры волны с предпросмотром в реальном времени, а исходную линию — сохранить или заменить. #иллюстрации Людочка, плагины – отборные плагины в Фигме

🔥103👍3

30 Jul 2026, 07:05 UTC≈1,990 views27 reactionsread 14 August 2026
Video

OPENMUSE Плагин помогает искать произведения искусства из открытых коллекций музеев и вставлять их в Figma. Классно, чтобы искать референсы по визуалу, собирать мудборды или просто изучать архивы. #прочее Людочка, плагины – отборные плагины в Фигме

15👍4🔥4❤‍🔥3🙏1

28 Jul 2026, 07:11 UTC≈2,060 views15 reactionsread 14 August 2026
Video

Color Extractor Автоматически собирает палитру из любого изображения в пару кликов. Бесплатно, с быстрой авторизацией при первом запуске. #цвет Людочка, плагины – отборные плагины в Фигме

9👍3🔥2🙏1

Showing the 12 most recent of 24 posts we hold for @ludochka_plugins. 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 — 344,933 of 1,336,469entries 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.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

Секси-шрифт. Кириллица
@sexyfont · 134,607
Telegram ranks this channel #90 of 95 here — alongside 94 others — read 13 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.

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

“Людочка, плагины!” (@ludochka_plugins), 19,375 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ludochka_plugins.

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.