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?
Does the same job
all alternatives →- IMI made an HN job board2013 · hnjobs.org · ▲149
I noticed the who's hiring threads are very popular every month, so I decided to create a job board specifically for hacker news. You can tag jobs, search, view user's profiles and more. Tell me what you guys thing! Any feedback is appreciated.
- ASA site that lets you search and subscribe to “Who is hiring?”2018 · whoishiring.me · ▲255
- AOAnalysis of 2018 Hacker News “Who Is Hiring” Job Posts2018 · letstalkalgorithms.com · ▲301
- WI"Who is hiring" mapped2013 · gaganpreet.github.io · ▲288
- HAHackerNewsJobs – “Ask HN: Who is hiring?” – organized2018 · hackernewsjobs.com · ▲12
HN Match Maker – Matching "Who Wants to Be Hired?" With "Who's Hiring?"5d ago · hnmatchmaker.com · ▲123Find your next hire or your next role from Hacker News monthly threads. AI-powered matching between candidates and job postings.
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2025
the whole month →
- C9
Life & fun · 2025 · felixrieseberg.github.io
