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Channel

NULLA SKINS • Скины Minecraft

@nulladesign

Has discussion group

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

7,691subscribers

-3 since we began measuring on 3 November 2026

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

Register entry

Telegram ID-1004292948199
TypeChannel
Username@nulladesign
DescriptionРазработка персонального скина Minecraft по описанию, фотографии или путём переноса образа из Roblox Сделать заказ - @NullaSkinsBot Время работы поддержки 10:00-24:00 (+3 GMT) Поддержка - @nulla_support Информации- @nullainfo
Created28 May 2026 — measured — dated from the channel’s first post
First recorded3 November 2026
Last confirmed live3 November 2026
Measurements held3
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/nulladesign

Growth

7,6917,6947,692.53 Nov 2026, 05:48 — 7,694 subscribers3 Nov 2026, 05:56 — 7,694 subscribers3 Nov 2026, 08:50 — 7,691 subscribers3 Nov 2026, 05:483 Nov 2026, 08:50
3 measurements taken within a single day, net -3. 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 7,691–7,694 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Nov 2026, 08:507,691-3
3 Nov 2026, 05:567,694no change
3 Nov 2026, 05:487,694first reading

Engagement

10 posts held, back to 28 May 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 3 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
34.1%
avg views ÷ 7,691 subscribers
Avg views / post
2,620
2 posts measured
Reaction rate
0.363%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 29 October 2026
Posts held10 (28 May 2026 – 29 October 2026)
Views total5,240
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 12:04 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.

What this channel posts

Photos
1
Links
5

Lifetime counters from Telegram’s own channel header, read 4 November 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.

Reaction mix

139 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 49.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6949.6%
🔥2719.4%
👍1510.8%
👎107.19%
🤯96.47%
🤡75.04%
🥰21.44%

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 10 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 139 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 28 May 2026 to 29 October 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

Telegram’s own ‘edited’ marker: 2 of 2 posts held from the last 30 days (100.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

29 Oct 2026, 11:10 UTC≈1,590 views9 reactionsread 4 November 2026
Video

✨Создали скин с нуля! Продумали каждую деталь: от причёски и глаз до одежды и цветовой гаммы. Получился необычный образ, который отлично смотрится в Minecraft 👀 Как вам результат? 🔵Заказать скин @NullaSkinsBot

❤7🔥1🥰1

16 Oct 2026, 14:14 UTC≈3,650 views10 reactionsread 4 November 2026
Video

✨ Нашли этот образ — и перенесли его в Minecraft! Мы создали кастомный скин по референсу из Roblox, сохранив узнаваемые детали оригинала: светлые волосы, необычные аксессуары и свободный стиль. Теперь этот образ можно встретить и в кубическом мире 👀 Как вам результат? 🔵Заказать скин @NullaSkinsBot

❤7👎1🔥1🥰1

2 Oct 2026, 21:04 UTC≈5,240 views10 reactionsread 4 November 2026
Video

Чувствуешь эту холодную уверенность? 🫣 Мы взяли исходный пиксельный арт снизу и превратили его в детализированный скин для Minecraft. Как вам такой образ для доминирования в битвах? 🔵Заказать скин @NullaSkinsBot

❤8🔥2

27 Sept 2026, 16:30 UTC≈6,150 views22 reactionsread 4 November 2026
Video

Кажется, сегодня Крипер выглядит немного иначе..⚡️ Мы улучшили скин для Тимончика — строгий костюм, знакомый силуэт и тот самый зелёный взгляд. На первый взгляд — обычный деловой образ 💼 Но, кажется, взрывоопасный характер никуда не делся 👀 Как вам скин? 💥 🔵Заказать скин @NullaSkinsBot

❤10🤡7👍3🔥2

25 Sept 2026, 10:08 UTC≈4,580 views11 reactionsread 4 November 2026
Video

Слышишь этот тихий шелест ветра? 🍃 Мы собрали кастомный скин по мотивам Зелёного ниндзя — Ллойда из «Ниндзяго». Энергия, ловкость и стиль в каждой детали: от характерной цветовой гаммы до футуристичных элементов брони. Как вам такой образ для эпичных битв? 💥 🔵Заказать скин @NullaSkinsBot

👍9❤2

15 Sept 2026, 15:30 UTC≈9,890 views17 reactionsread 4 November 2026
Video

✨ Освежили скин Каструма Kastroom попросил нас улучшить его старый скин, добавив больше деталей и проработки. Мы сохранили оригинальный образ, но сделали текстуры детальнее и добавили новые элементы, которые сделали скин ещё интереснее. Теперь он выглядит знакомо, но совсем по-новому 👀 🔵Заказать скин - @NullaSkinsBot

❤9🔥3🤯3👎2

13 Sept 2026, 15:12 UTC≈4,210 views15 reactionsread 4 November 2026
Video

Ты тоже его видишь? 👁 Мы сделали кастомный скин по мотивам самой жуткой легенды Minecraft — Null. Полностью чёрный силуэт, два светящихся глаза. Идеальный образ для тех, кто хочет раствориться в ночи и напугать друзей на сервере. Сделали для ютубера Сергиф Заказать скин — @NullaSkinsBot

❤10👍3🔥2

7 Sept 2026, 16:20 UTC≈6,070 views28 reactionsread 4 November 2026
Video

Слышишь этот скрип? 👀 Мы сделали кастомный скин по мотивам самого жуткого моба из новых биомов — Скрипуна. Как вам такой лесной кошмар?🌲 Сделали для ютубера xNely Заказать скин - @NullaSkinsBot

🔥14👎7❤4🤯3

6 Sept 2026, 10:23 UTC≈16,000 views17 reactionsread 4 November 2026
Photo

➡️ NULLASKINS — МЫ ОТКРЫЛИСЬ! Мы запускаем наш Telegram-бот, чтобы создавать скины, тотемы и плащи, о которых вы мечтали. ✨ Почему стоит заказать именно у нас? ☑ Заказать скин по референсу или описанию. ☑ Добавить модный плащ или тотем. ☑ Бот официальных ютуберов, вас точно не обманут! 🛍 Заказать скин, тотем или плащ - @NullaSkinsBot Давайте рисовать ваш уникальный образ вместе с NullaSkins 🚀 🔗 Заказать скины 🔗

❤12🤯3🔥2

Showing the 10 most recent of 10 posts we hold for @nulladesign. 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.

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

Named by 2 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.

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.

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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“NULLA SKINS • Скины Minecraft” (@nulladesign), 7,691 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/nulladesign.

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.