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genpark-smoothed-particle-hydrodynamics-sph-skill

Smoothed Particle Hydrodynamics (SPH) Lagrangian fluid engine with cubic spline smoothing kernels, density summation, and equation-of-state pressure.

Details

External ID
1363428316
Source
GITHUB
Company
—
Product
genpark-smoothed-particle-hydrodynamics-sph-skill
Website domain
github.com
Launched
Sept. 10, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agentic-ai, computational-physics, fluid-simulation, genpark-skill, particle-hydrodynamics, sph
Fetched at
Sept. 14, 2026, 1:02 a.m.
Updated at
Sept. 14, 2026, 1:02 a.m.

Enrichment

Theme
3D graphics and physics simulation tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
sph fluid engine skill for ai agents
Manually corrected
False

Could you build this?

Partial Implementing textbook Smoothed Particle Hydrodynamics (SPH) equations in code is achievable with LLMs, but making a robust, performant, and numerically stable fluid simulation engine requires non-trivial computational physics knowledge.

What it would actually take: A real SPH simulation engine requires spatial hashing or neighbor search grids, numerical integration schemes (like leapfrog or Verlet), and boundary handling, typically written in C++, Rust, or CUDA. The hard part is managing numerical instabilities, particle clumping, and achieving reasonable performance for dense point clouds, requiring computational fluid dynamics (CFD) expertise.

Competitors

Other products that read as similar to this one — 164 launches clear the similarity bar, closest 8 shown.

Attention rank: #92 of 165 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 310 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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