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Channel

Unity Assets 3D

@UnityAsset3D

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

8,321subscribers

+177 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002014808222
TypeChannel
Username@UnityAsset3D
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live31 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 31 August 2026
On Telegramt.me/UnityAsset3D

Growth

8,1448,3218,232.57 August 2026 — 8,144 subscribers7 August 2026 — 8,144 subscribers8 August 2026 — 8,150 subscribers11 August 2026 — 8,178 subscribers14 August 2026 — 8,214 subscribers17 August 2026 — 8,224 subscribers20 August 2026 — 8,248 subscribers24 August 2026 — 8,279 subscribers27 August 2026 — 8,301 subscribers31 August 2026 — 8,321 subscribers7 August 202631 August 2026
10 measurements spanning 23 days, net +177. 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 8,117–8,348 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 01:438,321+20
27 Aug 2026, 20:578,301+22
24 Aug 2026, 14:168,279+31
20 Aug 2026, 21:478,248+24
17 Aug 2026, 19:488,224+10
14 Aug 2026, 20:448,214+36
11 Aug 2026, 05:238,178+28
8 Aug 2026, 07:128,150+6
7 Aug 2026, 16:158,144no change
7 Aug 2026, 16:068,144first reading

Engagement

21 posts held, back to 30 October 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.6%
avg views ÷ 8,321 subscribers
Avg views / post
967
1 post measured
Reaction rate
0.207%
reactions ÷ views · ER floor
Posts in window
1
of 21 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 17 August 2026
Posts held21 (30 October 202517 August 2026)
Views total967
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 17:58 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
3s
Average length
3s

Measured directly from 1 video 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

64 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 62.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4062.5%
👍1726.6%
🔥710.9%

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 19 of the 21 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 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 30 October 2025 to 17 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

17 Aug 2026, 11:01 UTC967 views2 reactionsread 20 August 2026
Video

🔥 В канале Prime Assets опубликовано уже более 400 платных Unity-ассетов, каждый день добавляется ещё 2 Посмотреть доступные ассеты: Assets Pics. Там же можете написать в комментариях, какой ассет вам нужен. Вступить в Prime Assets до повышения цен: тут

🔥2

10 Dec 2025, 12:16 UTC≈18,100 views10 reactionsread 28 August 2026

#Unitypackage #Unity #Package #Assets #Tools #Physics Sci-Fi Ship Controller Профессиональный комплект, наполненный функциями и инструментами, помогает создать Sci-Fi Space Sim или игру боевых полетов. - Инструменты для создания космических симуляторов - Элементы для боевых действий - Поддержка различных игровых механик https://assetstore.unity.com/packages/tools/physics/sci-fi-ship-controller-134914 📥 СКАЧАТЬ v1

9👍1

7 Nov 2025, 10:40 UTC≈12,800 views8 reactionsread 28 August 2026
Photo

🎮 Low Poly Atmospheric Locations Pack (1.0.0) A Low Poly Atmospheric Locations Pack различных размеров и форм, оптимизированный для любых ваших проектов! Лучшее решение для создания ваших собственных проектов, таких как игры. Отлично подходит для освоения движка! ⭐⭐⭐⭐⭐ Рейтинг: 5.0/5 👤 Издатель: Palmov Island 🌐 Перейти на Unity Asset Store 💬 Обсудить #3D #Environments #Landscapes 📥 Подписывайся на геймдев папку

7👍1

7 Nov 2025, 06:50 UTC≈9,210 views2 reactionsread 28 August 2026
Photo

🎮 industrial-city---low-poly-3d-models-pack-|-3d-industrial Повышайте эффективность работы с пакетом Low Poly 3D Models Industrial City от ithappy. Включает детализированные модели зданий, инфраструктуры и техники, оптимизированные для Unity. 🔍 Ознакомиться с ассетом 💬 Обсудить #3d #environments #industrial 🌐 https://assetstore.unity.com/packages/3d/environments/industrial/industrial-city-low-poly-3d-models-pack-

2

6 Nov 2025, 10:40 UTC≈6,860 views3 reactionsread 28 August 2026
Photo

🎮 Voss Pattern Hellpistol (1.0) 👤 Издатель: RatStation 🌐 Перейти на Unity Asset Store 💬 Обсудить #3D #Props #Guns 📥 Подписывайся на геймдев папку

🔥3

6 Nov 2025, 06:50 UTC≈6,280 views6 reactionsread 28 August 2026
Photo

🎮 low-poly-fps-map-vol.1-|-3d-urban Повышайте эффективность работы с ассетом Low Poly FPS Map Vol.1 от JustCreate. Включает детализированные городские локации и оптимизированные модели. • Модульная структура для гибкой настройки • Высокое качество низкополигональных моделей • Поддержка Unity и WebGL • Легкая интеграция в проекты • Быстрая настройка и управление картами 🔍 Ознакомиться с ассетом 💬 Обсудить #3d #envi

6

5 Nov 2025, 10:40 UTC≈5,110 views2 reactionsread 28 August 2026
Photo

🎮 Poetry Monument of Kim Hyeon-seung (1.0) Памятник, на котором высечена поэзия Kim Hyeon-seung. Стела, на которой высечены стихи поэта 김현승. 👤 Издатель: Gwangju Arts & Culture Humanities Story Platform 🌐 Перейти на Unity Asset Store 💬 Обсудить #3D #Environments 📥 Подписывайся на геймдев папку

2

5 Nov 2025, 06:50 UTC≈5,100 views4 reactionsread 28 August 2026
Photo

🎮 buttons,-switches-and-toggles-|-3d-props Повышайте эффективность работы с ассетом Buttons, Switches и Toggles от 3D Bakers. • Включает разнообразные кнопки, переключатели и тумблеры для интерфейсов • Высококачественные модели с настройками материалов и анимации • Совместимы с Unity, легко интегрируются в проекты • Поддержка различных разрешений и платформенных требований 🔍 Ознакомиться с ассетом 💬 Обсудить #3d #

4

4 Nov 2025, 10:40 UTC≈4,320 views0 reactionsread 28 August 2026
Photo

🎮 Dotumal Women's Clothing (1.0) Женское ателье по пошиву одежды, открывшееся в 1969 году в Gwangju. Швейная мастерская женской одежды, открытая в 1969 году. 👤 Издатель: Gwangju Arts & Culture Humanities Story Platform 🌐 Перейти на Unity Asset Store 💬 Обсудить #3D #Environments 📥 Подписывайся на геймдев папку

4 Nov 2025, 06:50 UTC≈4,340 views1 reactionsread 28 August 2026
Photo

🎮 medieval---vol-7---craftsman-tools-|-3d-props Повышайте эффективность работы с набором Medieval - VOL 7 - Craftsman Tools от Dekogon Studios. Включает разнообразные инструменты и предметы для создания средневековых сцен. • Высокополигональные модели с высокой детализацией • Форматы: FBX, OBJ, и Unity Package • Текстуры высокого разрешения для реалистичного отображения • Совместимость с Unity и другими движками • П

👍1

Showing the 12 most recent of 21 posts we hold for @UnityAsset3D. 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

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

“Unity Assets 3D” (@UnityAsset3D), 8,321 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/UnityAsset3D.

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.