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lingbot-world-v2-realtime

1.3B world model running at 16 FPS on an RTX 5090

Details

External ID
1373557417
Source
GITHUB
Company
—
Product
lingbot-world-v2-realtime
Website domain
kaarelkaarelson.com
Launched
Sept. 16, 2026
Cohort
—
Upvotes
14
Upvotes percentile
0.4606712785037151
Tags
—
Fetched at
Sept. 20, 2026, 5:44 p.m.
Updated at
Sept. 20, 2026, 5:44 p.m.

Enrichment

Theme
gpu compute and acceleration tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
real-time 1.3b world model running on rtx 5090
Manually corrected
False

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 — 221 launches clear the similarity bar, closest 8 shown.

Attention rank: #125 of 222 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 313 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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