genpark-singular-value-decomposition-svd-power-iteration-skill
Autonomous Agent Singular Value Decomposition (SVD) Power Iteration for Low-Rank Dimensionality Reduction
Details
- External ID
- 1362931118
- Source
- GITHUB
- Company
- —
- Product
- genpark-singular-value-decomposition-svd-truncated-skill
- Website domain
- github.com
- Launched
- Sept. 9, 2026
- Cohort
- —
- Upvotes
- 8
- Upvotes percentile
- 0.14514476044068664
- Tags
- agentic-ai, genpark-skill, linear-algebra, pca, singular-value-decomposition, svd
- Fetched at
- Sept. 13, 2026, 5:48 a.m.
- Updated at
- Sept. 13, 2026, 5:48 a.m.
Enrichment
- Theme
- scientific computing and research algorithms
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- svd power iteration algorithm for agent dimensionality reduction
- Manually corrected
- False
Could you build this?
Yes Computing low-rank approximations via SVD power iteration requires basic linear algebra and matrix multiplication that coding assistants can generate effortlessly.
Competitors
Other products that read as similar to this one — 1454 launches clear the similarity bar, closest 8 shown.
Attention rank: #903 of 1455 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 313 days after the earliest competitor.
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Other launches for this product
Same idea, different domain
Nobody's really built a dev tools tool for Sales yet.