AI/ML●●●Banger
Semantic atlas of 188 constitutions in 3D (30k articles, embeddings)
3D UMAP visualization finds conceptually similar constitutional provisions across 188 countries.
WizardryBig BrainZero to One
joaoli131
1242mo ago
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GitHub Repository
PeopleMesh is the AI-powered matching layer for modern organizations. It helps people discover the right colleagues, internal opportunities, communities, and projects through semantic search that understands context, not just keywords.
6 starsJava
PeopleMesh, Semantic Search for People
by francescopace·Apr 28, 2026·2 points·0 comments
AI Analysis
●●SolidSolve My ProblemBig Brain
MCP integration lets AI agents query your org chart semantically, not just by keywords.
Strengths
- •Combines embeddings with metadata ranking to surface high-signal internal matches beyond keyword search.
- •GDPR-by-design with granular consent flows, data export, and configurable retention built into product.
- •MCP server integration enables ChatGPT and Claude to discover internal opportunities and colleagues.
Weaknesses
- •Competes directly with established enterprise tools like Guru, Slab, and Microsoft Viva Topics.
- •Requires organizations to manually build and maintain profile data, which is a known adoption killer.
Category
Target Audience
HR teams, internal tool builders, and enterprise knowledge managers
Similar To
Guru · Slab · Microsoft Viva Topics
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