mLattice
Breaking the quadratic memory barrier in AI
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Details
- External ID
- 1416137015
- Source
- GITHUB
- Company
- —
- Product
- mLattice
- Website domain
- github.com
- Launched
- Oct. 12, 2026
- Cohort
- —
- Upvotes
- 57
- Upvotes percentile
- 0.74
- Tags
- —
Enrichment
- Niche
- deep learning frameworks
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- sub-quadratic memory architecture for ai models
- Manually corrected
- False
Could you build this?
No Breaking quadratic memory barriers in AI requires novel deep learning architecture design, custom low-level GPU kernel programming, and fundamental ML research.
What it would actually take: This project requires designing alternative attention mechanisms or state-space models and implementing them via custom Triton or CUDA kernels to optimize memory access patterns. It demands specialized knowledge in hardware acceleration, linear algebra, and deep learning framework internals (PyTorch C++ extensions).
Competitors
Other products that read as similar to this one — 2919 launches clear the similarity bar, closest 8 shown.
Attention rank: #656 of 2920 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 348 days after the earliest competitor.
- Hebbs · hn · 2026-03-09 · 6 upvotes · similarity 0.70
- Lossless-memory · hn · 2026-09-21 · 67 upvotes · similarity 0.70
- IHMT-MEMORY · github · 2026-09-30 · 17 upvotes · similarity 0.68
- Shodh– AI memory that learns from use, no LLM calls, single Rust binary · hn · 2026-02-28 · 6 upvotes · similarity 0.68
- IHMT · hn · 2026-10-12 · 8 upvotes · similarity 0.68
- DecisionNode · hn · 2026-04-10 · 23 upvotes · similarity 0.66
- dudulove-memory · github · 2026-10-05 · 31 upvotes · similarity 0.64
- A memory learning layer for AI agents to learn on the job · hn · 2026-01-23 · 6 upvotes · similarity 0.64