Candidate Pipeline Scorer

A production-ready AI-powered candidate scoring engine that transforms your scattered hiring data into actionable intelligence. Unlike typical ATS solutions that lock you into their ecosystem, this TypeScript-based scoring system ingests candidate data from any source—Indeed, LinkedIn, Greenhouse, Lever, Workday, CSV files, or Google Sheets—and applies both deterministic algorithms and optional AI enrichment to rank candidates against your custom criteria. The zero-dependency core engine delivers consistent scoring based on skills, experience, education, and location, while the provider-agnostic AI layer supports OpenAI, Anthropic, or self-hosted Ollama for enhanced evaluation. Visualize your entire pipeline through drag-and-drop kanban boards and sortable ranked lists, all running in a lightweight HTML interface. Perfect for HR teams drowning in multi-platform candidate data who need a unified scoring layer that works with their existing tools, not against them.

Built for HR teams and recruiters managing high-volume candidate pipelines across multiple sourcing platforms