TiGrIS, a tiling compiler that fits ML models onto embedded devices
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HN · launched Apr 29, 2026 · 20 upvotes (top 25%) · 0 views
Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 303 launches in machine learning developer tools →
Could you build this?
No Building a tiling compiler to schedule and optimize ML tensor operations for memory-constrained embedded hardware requires deep research-level knowledge of compiler design and hardware architectures.
What it would actually take: The compiler would typically be written in C++ or Rust, likely leveraging MLIR/LLVM infrastructure, polyhedral loop analysis, and micro-architecture performance modeling. The hardest part is formulating and solving NP-hard loop tiling, memory footprint optimization, and scratchpad allocation constraints under extreme hardware limits. This requires PhD-level expertise in compiler construction, domain-specific hardware accelerators, and high-performance numerical kernels.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one : 4087 launches clear the similarity bar, closest 8 shown.
Attention rank: #1004 of 4088 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 182 days after the earliest competitor.
- tatami · github · 2026-11-11 · 82 upvotes · similarity 0.69
- Yashiki · hn · 2026-01-19 · 23 upvotes · similarity 0.63
- aro · github · 2026-09-22 · 12 upvotes · similarity 0.61
- splash · github · 2026-09-18 · 610 upvotes · similarity 0.61
- Dinky · github · 2026-09-26 · 24 upvotes · similarity 0.60
- Phobos · hn · 2026-07-07 · 11 upvotes · similarity 0.59
- manby · github · 2026-11-05 · 45 upvotes · similarity 0.58
- xdos · github · 2026-11-07 · 38 upvotes · similarity 0.57
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