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Phase Router

capacity-aware routing for MoE

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HN · launched Apr 30, 2026 · 5 upvotes (top 89%) · 0 views

Niche: llm routing and gateway tools · 143 launches, 5 in the last 7 days ▼ -62% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

No Capacity-aware routing for Mixture of Experts (MoE) is an advanced deep learning research problem requiring specialized mathematical formulation and low-level kernel/model architecture design.

What it would actually take: It requires custom CUDA/Triton kernels or specialized PyTorch modules to implement capacity-constrained token dispatch, load-balancing loss functions, and top-k gating algorithms across distributed MoE layers. Validating it requires substantial GPU clusters to train or fine-tune large MoE architectures. Deep expertise in distributed training systems and deep learning research is essential.

Discussion

1 comment analyzed.

Competitors

Other products that read as similar to this one : 1246 launches clear the similarity bar, closest 8 shown.

Attention rank: #1105 of 1247 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 181 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.