ApplyKit

Job search is repetitive work: find listings, filter by relevance, research each company, tailor a résumé, prepare for interviews. ApplyKit automates the pipeline from discovery to preparation.

The system aggregates job listings from multiple sources, scores each against a configurable fit profile (skills, seniority, role type, location), and surfaces the best matches. For shortlisted roles, it runs LLM-assisted profile analysis and generates a gap-mitigation plan.

Built for my own job search, then generalized. The scraping layer handles the inconsistency of job board markup; the scoring layer is tunable without code changes; the pipeline output is structured enough to actually use for job funnel tracking.