nowfound

AI · May 21, 2025

I made "Who's Hiring?" searchable using GPT and Metabase

I vibe-coded a small project that turns the “Ask HN: Who is hiring?” thread into searchable job data using OpenAI, PostgreSQL, and Metabase. It pulls the thread using the Hacker News API, uses GPT to extract fields like company, role, location, salary, and contact, stores everything in PostgreSQL, and spins up Metabase so you can explore and search the results. Right now it runs locally, but would anyone be interested if I built this out a bit more and made a public dashboard?

I made "Who's Hiring?" searchable using GPT and Metabase launched on May 21, 2025 with 5 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.

What it does

Making Hacker News Jobs Searchable Using GPT + Metabase - matthewhefferon/hn-jobs-to-metabase

Fetches job postings from "Who is hiring?" threads on Hacker News, parses them with OpenAI, and stores them in Postgres for Metabase dashboards. Also exports to CSV. git clone < your-repo-url > cd hn-jobs-to-metabase Create .env : POSTGRES_URL=postgresql://hnuser:hnpass@localhost:5432/hnjobs OPENAI_API_KEY=your_openai_api_key Set thread ID: Edit MANUAL_THREAD_ID at the top of fetch_hn_jobs.py : docker compose down This will stop all containers and remove them, cleaning up your environment. CREATE SCHEMA IF NOT EXISTS hn; CREATE TABLE hn .jobs ( hn_comment_id bigint primary key , company text , role text , location text , salary text , contact text , description text , posted_at timestamp…from github.com

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