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Channel

Houdini Lib

@houdini_lib

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

7,155subscribers

-19 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-1001052069437
TypeChannel
Username@houdini_lib
Created3 October 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live23 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/houdini_lib

Growth

7,1557,1747,164.57 August 2026 — 7,174 subscribers7 August 2026 — 7,174 subscribers8 August 2026 — 7,167 subscribers11 August 2026 — 7,157 subscribers14 August 2026 — 7,159 subscribers17 August 2026 — 7,155 subscribers20 August 2026 — 7,157 subscribers23 August 2026 — 7,155 subscribers7 August 202623 August 2026
8 measurements spanning 16 days, net -19. 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 7,152–7,177 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 18:247,155-2
20 Aug 2026, 14:177,157+2
17 Aug 2026, 20:177,155-4
14 Aug 2026, 13:347,159+2
11 Aug 2026, 04:117,157-10
8 Aug 2026, 00:007,167-7
7 Aug 2026, 12:327,174no change
7 Aug 2026, 12:237,174first reading

Engagement

22 posts held, back to 19 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.1%
avg views ÷ 7,155 subscribers
Avg views / post
1,360
10 posts measured
Reaction rate
0.591%
reactions ÷ views · ER floor
Posts in window
10
of 22 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 9 of 10 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 20 August 2026
Posts held22 (19 July 202620 August 2026)
Views total13,648
Reactions total73
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 16:35 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

149 reactions across 21 posts, in 7 distinct kinds. The most used accounts for 51.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7751.7%
🔥5033.6%
👍128.05%
👏42.68%
😁32.01%
😱21.34%
💔10.671%

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 21 of the 22 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 149reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 19 July 2026 to 20 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

20 Aug 2026, 14:15 UTC267 views1 reactionsread 20 August 2026

Posted without readable text

😁1

Signed GardenBreezeOrange

18 Aug 2026, 09:20 UTC781 views8 reactionsread 20 August 2026

Пузыри и симуляция Пены. Уровень:Мидл Обычно при создании пены используют готовый Вайт ватер солвер и втыкают нужные силы. Тут же показали как можно собрать свой солвер для пены на минималках. Занимательное видео, возможно в каких-то моментах реально может выручить. #dop https://www.youtube.com/watch?v=TgDNxIdsjoc

7🔥1

2 Aug 2026, 10:34 UTC≈2,490 views6 reactionsread 20 August 2026

Процедурная маска деформации. Больше обзор проекта который досупен бесплатно на гумроад. Показал как можно собрать маску для разных типов геометрии, этот способ можно применить к большому кол-ву сетапов, главное понять логику. #sop #vex #hip https://www.youtube.com/watch?v=UL-VdOBmXgE

6

1 Aug 2026, 10:34 UTC≈1,820 views11 reactionsread 20 August 2026

Как собирали Бабочку. Ребята из XK рассказали на что опирались при сборке этого проекта, что использовали, и какие предыдущие наработки им пригодились. Самое оно в субботу послушать как собирать красоту. Если что уже 1 Августа успевайте лето потрогать #cop #vex #vellum #vop https://www.youtube.com/watch?v=6qECco8x1wc

8🔥3

31 Jul 2026, 10:17 UTC≈1,650 views6 reactionsread 20 August 2026

Всё симуляция. Краткий рассказ как Пол(Бывшый Пауль на этом канале) Ищет нужные и красивые параметры для своих симуляций. Он пропагандирует везде использовать PDG и на нескольких проектах доказывает что это реально работает. #pdg https://www.youtube.com/watch?v=Wz80-imjLbQ

🔥6

30 Jul 2026, 10:15 UTC≈1,440 views10 reactionsread 20 August 2026

Разрушаем Окно. Уровень: Джун Последовательно с разбором ошибок и их устранением фракчурим раму и стекло, констрейны, юви, потом крагом разбиваем. С нуля до финального рендера. #rbd #Karma https://www.youtube.com/watch?v=hwEdvm7EwP4

10

29 Jul 2026, 10:13 UTC≈1,300 views10 reactionsread 20 August 2026

Разделение клетки Брейкдаун по готовому проекту в котором рассказали как делить клетки. Любопытный момент это пайро симуляции для морфинга и самого разделения геометрии. Предыдущие похожие туторы были на веллум соллвере. #sop #pyro #vex #karma https://www.youtube.com/watch?v=JiQyPj-rLII

🔥73

29 Jul 2026, 09:32 UTC≈1,250 views10 reactionsread 20 August 2026

Риг Краба Стилизованного Уровень: Джун Крутая серия роликов по сборке сцены с мультяшным Крабом. Настолько всё подробно что если каждый тутор сюда постить, то 3 дня вся лента будет в этом Крабе. Так что моя личная рекомендосьён на эту серию. Длительность всего 3часа 36 минут. Так что если смотреть и повторять то за 7 часов у вас будет финальный краб https://www.youtube.com/watch?v=m3mEtyk4C5A Плейлист

🔥10

28 Jul 2026, 09:28 UTC≈1,360 views11 reactionsread 20 August 2026

Жижа +RBD симуляция Уровень:Джун В туторе простая настройка флип сетапа и вязкости к нему. Затем уже настройка колизии и рбд солвера. Надеюсь кому-то будет полезно накрутить такую карамельную жижу с фундуками. Проект бесплатный Доступен на гумроад #flip #rbd #hip https://www.youtube.com/watch?v=H2Cwyr9_pUM

🔥92

27 Jul 2026, 09:09 UTC≈1,290 viewsread 20 August 2026

Гугл и Голова. Больше обзор инстурмента от гугл, и как его можно применить. Чё такое? GNM это модель нейросети которая может генерировать различные выражения лиц, и причём все выглядят натурально. так же можно генерировать и сам меш (голову). Получается схема с ручной настройкой части параметров, но ещё и рандомизацией от самой модели нейросети. На данный момент модель содержит 253 крутилки отвечающих за идентичн

21 Jul 2026, 18:33 UTC≈1,670 views5 reactionsread 20 August 2026

Как разрушать металл. Часть 2 Уровень: Джун. В этой части детально настраиваем первичные разрушения, и вторичные. Докручиваем констрейны и теперь видно как отрабатывает рбд солвер. Получаются очень убедительные вмятины на железной двери. #rbd https://www.youtube.com/watch?v=R4YVz0FcCOw

👍5

21 Jul 2026, 15:45 UTC≈1,460 views5 reactionsread 20 August 2026

Как разрушать металл. Часть 1 Уровень: Джун. Короткая серия туторов которая рассказывает как в 22 версии можно настроить металл под разрушения. Задача частая, а тут по шагам разобрали возможные варианты. В первой части фрактурам нашу входящую геометрию, и настраиваем базовые констрейны. Вторая часть интереснее. #rbd https://www.youtube.com/watch?v=x-N5I4XS7Q4

👍5

Showing the 12 most recent of 22 posts we hold for @houdini_lib. 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.

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.

CG Freelance
@cgfreelance · 60,041
Telegram ranks this channel #36 of 86 here — alongside 85 others — read 22 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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“Houdini Lib” (@houdini_lib), 7,155 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/houdini_lib.

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.