This is a live demo of a personal job-hunting pipeline. The real thing works like this:
every evening at 18:00 a scraper pulls fresh postings for your saved searches;
overnight an LLM reads each one against your résumé and scores the fit;
and by 8am your inbox is full of ranked matches — read the good ones, skip the rest,
tailor a résumé in one click when you're ready to apply.
The inbox: unread matches ranked by score, apply/skip triage, and a full résumé workspace per job — AI-tailored bullet suggestions, version history, cover letters, and one-click PDFs.
The whole pipeline's history: application funnel (including who ghosted you), salary distribution split by seniority tier, and which job titles & companies match you most — click any title to filter everything.
Paste your résumé in any form — the parser structures it without embellishing a word. The more complete it is, the better the match scoring and tailoring get: it's what the LLM reads on your behalf every night.
The job postings and pipeline history here are real (and refresh daily); the person is not —
you're browsing as “Alex Sample”, a synthetic profile, and all writes are disabled.
Built with Go, htmx, Postgres, and a self-hosted LLM eval queue.