3D 4FUN

Subscribers 68.6K

Videos 373

Views 103.7M

Channels Like 3D 4FUN

3D 4FUN focuses on realistic and satisfying 3D physics simulations created in Cinema 4D, featuring soft body dynamics, destruction, and squishy animations. The channel emphasizes original, from-scratch CGI work with long-form and compilation videos, often showcasing extreme and satisfying physics content. Uploads occur at roughly 1.4 videos per week, with an average of about 53K views per video.

AI summary

Similar Channels

We found 41 YouTube channels similar to 3D 4FUN

#1

Kawaken 3DCG view on YouTube ▶

92% relevance

Subscribers 412K

Videos 134

Views 633.2M

Appearances 9

SERP 100%

Similarity 87%

3D physics simulations 4k rendering physics 3d animation physics

Similar 3D physics simulations and emphasis on 4K rendering physics align with 3D 4FUN, matching high search and content scores (92% match; queries include 3D physics simulations, 4k rendering physics, 3d animation physics).

AI summary

#2

Marble+

90% relevance

Subscribers 83.5K

Videos 114

Views 36.9M

Appearances 18

SERP 90%

Similarity 90%

3D physics simulations soft body physics blender physics

Overlaps with 3D 4FUN on 3D physics simulations and Blender-based physics content, reflected by a 90% match with equal emphasis in search and content (queries: 3D physics simulations, soft body physics, blender physics).

AI summary

#3

Wimpythekat

65% relevance

Subscribers 29.2K

Videos 90

Views 17.0M

Appearances 4

SERP 47%

Similarity 77%

soft body physics blender physics 3d collision simulations

Shares focus on soft body and Blender physics as well as 3D collision simulations, yielding a mid-range 65% match driven by strong content alignment (77%) but weaker search overlap (47%).

AI summary

#4

EarthquakeSim

64% relevance

Subscribers 157K

Videos 476

Views 55.2M

Appearances 5

SERP 42%

Similarity 79%

destruction simulations extreme destruction

Both channels cover destruction and extreme physics simulations, with a 64% overall match driven by broader destruction queries and high content relevance (79%).

AI summary

#5

FormRoom

64% relevance

Subscribers 1.1K

Videos 93

Views 819.8K

Appearances 3

SERP 34%

Similarity 85%

4k rendering physics 4K physics renders

Targets 4K rendering physics similar to 3D 4FUN, reflected in a 64% match and strong 4K render-focused content despite modest search overlap (34%).

AI summary

#6

Moby Motion

63% relevance

Subscribers 156K

Videos 694

Views 57.1M

Appearances 10

SERP 36%

Similarity 81%

destruction simulations 4k rendering physics 4K physics renders

Overlap on destruction simulations and 4K physics renders creates a 63% match, with content closely aligning (81%) though search interest is only moderate (36%).

AI summary

Content Landscape

Discovered competitors include Kawaken 3DCG (92% match) with 412K subscribers and Marble+ (90% match) with 83.5K subscribers, both aligned with 3D physics simulations, soft body dynamics, and 4K rendering physics. Wimpythekat (65% match, 29.2K subscribers) and EarthquakeSim (64% match, 157K subscribers) also share destruction-focused and extreme physics queries, reinforcing overlap in destruction simulations and extreme events. FormRoom (64% match, 1.1K subscribers) similarly competes on 4K physics renders. 3D 4FUN is smaller than Kawaken 3DCG and EarthquakeSim but competes for similar search queries like 3D physics simulations, soft body physics, blender/Cinema 4D physics, and destruction content, indicating overlapping audience interests and topics.

AI summary

Video Highlights

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#11	58%	blackedout01	75%	17.9K	34%	4
#12	57%	Blendy Craft	85%	312K	16%	4
#13	57%	Question Solutions ▶	66%	154K	44%	6
#14	56%	Michał Joachimczak	72%	3.2K	32%	3
#15	54%	Magnetic Games	72%	6.8M	27%	2
#16	54%	MIT OpenCourseWare ▶	63%	6.2M	40%	4
#17	54%	Professor Dave Explains ▶	67%	4.2M	34%	4
#18	53%	Nicko16	74%	41.2K	20%	1
#19	53%	Bwearsog	73%	87.6K	22%	2
#20	52%	Physics4Life	74%	27.1K	20%	1
#21	52%	Ryan King Art	74%	385K	18%	5
#22	50%	Corridor Crew ▶	73%	7.1M	16%	1
#23	50%	blenderian	73%	146K	16%	1
#24	50%	Veritasium ▶	68%	20.4M	23%	3
#25	50%	Ultimate History of CGI	71%	21.7K	19%	2
#26	50%	The Koalas JJ	70%	926K	20%	1
#27	50%	Alan Becker ▶	69%	32.9M	20%	1
#28	49%	Pezzza's Work ▶	72%	199K	15%	2
#29	49%	School of Motion	71%	498K	16%	2
#30	49%	The Efficient Engineer ▶	71%	1.4M	15%	3
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#32	47%	Sleep Easy Relax - Keith Smith	67%	771K	16%	1
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#35	46%	Cognito ▶	62%	1.2M	23%	2
#36	46%	Physics Demos	66%	112K	16%	1
#37	46%	Dr. Simulate	65%	45.8K	16%	1
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Search Queries Used

3D physics simulations soft body physics destruction simulations cinema 4d physics blender physics rigid body dynamics magnetism physics fluid and glass destruction squishy simulations 4k rendering physics 3d collision simulations extreme destruction dynamics simulation soft body evolution 3d animation physics 3D simulation visuals high fidelity physics soft body rendering destruction visual effects rigid body visualization magnetic field simulations elastic material dynamics 4K physics renders collision physics tutorial particle based destruction fluid and solid interactions vibration and shock waves stress relief visuals noise and texture mapping subsurface scattering render haptic visualization effects mass spring systems deformation simulations spotlight on soft bodies dynamic simulation workflows

Frequently Asked Questions

Which YouTube channels are most similar to 3D 4FUN?

Kawaken 3DCG — 92% match, 412K subscribers; Marble+ — 90% match, 83.5K subscribers; Wimpythekat — 65% match, 29.2K subscribers. All three channels share a focus on 3D CGI, soft body physics, and satisfying visual content similar to 3D 4FUN.

What type of content does 3D 4FUN make?

3D 4FUN creates 3D physics and soft body animation content, as indicated by video titles like Most Satisfying Blender 3D Physics and soft body destruction compilations. The channel uploads about 1.4 times per week, with recent videos ranging from 11K to 25K views, and an overall average around 53K views per video.

How do we determine which channels are similar to 3D 4FUN?

We analyze 3D 4FUN's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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