NablaEngine
Fast, exact simulation gradients for the Unitree G1: a differentiable GPU physics engine with JAX and PyTorch interfaces.
Get picks like this daily. Today's launch numbers, the top launches, AI and tech news, and a daily opportunity pick, straight to your inbox.
Visit website ↗ Source listing ↗
More like this: all 101 launches in physics and engineering simulation software →
GITHUB · launched Oct 30, 2026 · 23 upvotes (top 59%)
- Horizontal
- Dev tools
- Developer
- Not AI
- Hobby / open-source project
Similar launches
See all 3184 similar launches →Could you build this?
No The project is a differentiable GPU physics engine tied to published humanoid-control research, which requires novel research and deep simulation expertise.
What it would actually take: Building this means writing a differentiable simulator with exact gradients for multibody contact dynamics on GPU, plus JAX and PyTorch bindings and a humanoid model (Unitree G1). It also requires the training methodology from the paper, which is novel research. That needs graduate-level robotics, numerical methods, and GPU kernel expertise, along with robot hardware or simulators to validate results.
Competitors
Other products that read as similar to this one : 3184 launches clear the similarity bar, closest 8 shown.
Attention rank: #1760 of 3185 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 366 days after the earliest competitor.
- rune · github · 2026-10-22 · 78 upvotes · similarity 0.70
- Navatala GPU · hn · 2026-06-25 · 6 upvotes · similarity 0.70
- WarpLite · github · 2026-09-23 · 224 upvotes · similarity 0.70
- TIRx-harness · github · 2026-09-29 · 102 upvotes · similarity 0.70
- Gpubook · hn · 2026-05-19 · 7 upvotes · similarity 0.70
- RUDA · github · 2026-09-09 · 14 upvotes · similarity 0.69
- TIRx-kernels · github · 2026-09-29 · 23 upvotes · similarity 0.68
- shatter · github · 2026-10-14 · 10 upvotes · similarity 0.67
Other launches for this product
- No other launches for this product.