Quant Job Market Visualizer
Daily quant job scraping with LLM classification beats manual LinkedIn searches.

Another HN job analyzer, but LLM classification runs at $0.07 per month.
Job seekers, hiring managers, tech industry analysts
HN Jobs · Hacking News · tech job trend analyzers
What it tracks: - Top technologies and roles with month-over-month changes - Remote work breakdown (fully remote, hybrid, onsite) - Salary and equity mention rates - Experience level distribution - Per-job classification (click a technology to see its role breakdown, or vice versa)
Jobs are sent to the LLM in batches of 10 with structured output (JSON Schema). Total cost: ~$0.07/run, under $2/year. The pipeline writes JSON to a GitHub repo served via Pages. The site is a static Next.js export that fetches the JSON at build time. No server, no database, no ongoing costs beyond GitHub Actions minutes (free tier).
Everything is open source: - Data pipeline: https://github.com/gantryops/hn-jobs-data - Site: https://github.com/gantryops/hn-jobs-site
AI agents can consume the data directly there's an llms.txt at https://hn-job-trends.gantryops.dev/llms.txt with all the JSON endpoints and schemas.
Daily quant job scraping with LLM classification beats manual LinkedIn searches.
Bootstrapped confidence intervals on hiring trends, not just raw job counts.
Polished dashboard, but job tracking is a crowded category with no novel data source.
LangChain roles pay $60k less than framework-agnostic architect positions.
Compose Multiplatform trending UI, but GitHub itself lists these projects—why not filter there?
HN job search is painful, but this doesn't add anything beyond basic filtering.