Automated job discovery and intelligence pipeline
A fully automated job search system that scrapes, scores, and organizes relevant listings into a structured tracker — eliminating 20 hours of weekly research and replacing it with a daily curated feed of pre-qualified opportunities.
Problem
2–3 hours a day disappeared into manually searching job boards and career sites, reading descriptions to decide what was worth applying to. Listings were irrelevant, duplicated, or missing key details — and with no tracking system, opportunities were lost simply because they were found too late.
Solution
A scheduled pipeline that pulls listings from target company career pages via scraping and job board APIs, uses Claude to score each role against a custom fit rubric, writes qualified results to a Google Sheet, and delivers a daily email digest of new matches.
How it works
- InputDaily scheduled trigger pulls fresh listings via career site scraping and job board APIs.
- FilterA pre-scoring filter removes obvious mismatches before AI scoring — keeping cost low and signal high.
- AI scoringClaude evaluates each new listing against a structured rubric and returns a 0–100 score with a written rationale.
- VerdictsScores auto-bucket into APPLY NOW, REVIEW, or SKIP.
- RoutingQualified listings are written to a Google Sheet with title, company, score, rationale, and apply link.
- OutputDaily email with APPLY NOW and REVIEW roles — or an all-clear when nothing new surfaces. Failure alerts fire automatically.
Outcome
- 20 hours per week of manual research eliminated
- Daily search time cut from 2–3 hours to under 30 minutes of digest review
- Pre-scored, justified listings surfaced daily with zero manual browsing