Market Trends
Gemini Executive Synthesis
A semantic atlas of 188 constitutions in 3D.
Technical Positioning
A tool for comparing constitutional law that overcomes the limitations of existing tools (steep learning curves, keyword-only search) by enabling navigation of conceptually related provisions across 30,828 articles from 188 countries using Gemini embeddings and UMAP projection.
SaaS Insight & Market Implications
This project addresses a significant pain point in legal research: the complexity and inefficiency of comparing constitutional law across jurisdictions. By leveraging Gemini embeddings and UMAP projection, it transforms a traditionally text-heavy, keyword-dependent process into a navigable 3D semantic space. This capability to identify conceptually related provisions, irrespective of exact wording, represents a substantial leap beyond conventional search tools. The market implication is a potential for increased efficiency and accuracy in comparative legal analysis, impacting legal tech, academic research, and policy development. This demonstrates the power of advanced natural language processing and dimensionality reduction techniques to unlock insights from vast, unstructured datasets, creating specialized tools that cater to niche, high-value professional domains.
Proprietary Technical Taxonomy
Raw Developer Origin & Technical Request
Hacker News
Apr 2, 2026
Show HN: Semantic atlas of 188 constitutions in 3D (30k articles, embeddings)
I built this after noticing that existing tools for comparing constitutional law either have steep learning curves or only support keyword search. By combining Gemini embeddings with UMAP projection, you can navigate 30,828 constitutional articles from 188 countries in 3D and find conceptually related provisions even when the wording differs. Feedback welcome, especially from legal researchers or comparative law folks.
Source and pipeline: github.com/joaoli13/constitutional-map-ai
Developer Debate & Comments
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Engagement Signals
Cross-Market Term Frequency
Quantifies the cross-market adoption of foundational terms like 3D and embeddings by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.