lingbot-world-v2-realtime
1.3B world model running at 16 FPS on an RTX 5090
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GITHUB · launched Sep 16, 2026 · 14 upvotes (top 55%) · 0 views
Niche: foundation model frameworks · 40 launches, 4 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 40 launches in foundation model frameworks →
Could you build this?
No Training and running a 1.3B parameter generative interactive world model at 16 FPS in real time demands cutting-edge ML research and low-level GPU kernel optimization.
What it would actually take: The architecture requires training a multi-modal autoregressive or diffusion latent world model on extensive video/action datasets using massive GPU clusters. Achieving 16 FPS real-time generation on a single RTX 5090 requires custom CUDA/Triton kernels, TensorRT engine compilation, and low-bit quantization (FP8/INT4). This requires deep expertise in deep generative modeling, high-performance computing, and hardware-level inference optimization.
Competitors
Other products that read as similar to this one : 728 launches clear the similarity bar, closest 8 shown.
Attention rank: #408 of 729 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 313 days after the earliest competitor.
- 3d-world-simulator · github · 2026-11-02 · 238 upvotes · similarity 0.54
- A6000-DOOM · github · 2026-09-10 · 9 upvotes · similarity 0.51
- wmdrift · github · 2026-09-13 · 16 upvotes · similarity 0.50
- WorldPlay2 · github · 2026-09-28 · 46 upvotes · similarity 0.48
- anotherworld-zx-spectrum-48k · github · 2026-09-28 · 24 upvotes · similarity 0.48
- woof · github · 2026-09-29 · 41 upvotes · similarity 0.47
- I run a vision model on every screenshot, locally, on a 4GB GPU · hn · 2026-06-13 · 36 upvotes · similarity 0.45
- WorldCast · github · 2026-10-23 · 37 upvotes · similarity 0.45
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