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Why AI Hiring Aggregation Matters Right Now
The monthly "Ask HN: Who is hiring?" thread is a goldmine — and a swamp. The May 2026 edition alone drew 552 comments and 311 points on Hacker News. Each comment is a company pitching a role, but they're all unstructured text: some include salary, some don't; some mention remote, others bury it in a paragraph. For a job seeker, this means hours of manual Ctrl+F, cross-referencing, and mental parsing. The pain is real and recurring — every single month.
Existing solutions fall short. LinkedIn buries quality under algorithmic noise. Weekday (YC W21) requires building a social network from scratch. Even dedicated tools like hnhiring.com only offer a static list — no AI parsing, no semantic matching, no personalization. They structure the data but don't understand it. The result: you still have to read every entry to know if it's relevant to you.
But the timing is perfect. LLM APIs like GPT-4o-mini now cost fractions of a cent per structured extraction. The HN hiring thread is free, public, and consistently high-signal. And with 5+ cross-platform sources (HN, Lobsters, YC, V2EX, Twitter) all pointing to the same demand, the opportunity to build a unified, AI-native job aggregator is wide open. The data is there. The technology is cheap. The pain is acute. That's why we built HN Hiring Decoder.
How It Works
We crawl the thread
Our scraper fetches the latest "Who is hiring?" thread from Hacker News, capturing all 552+ comments in raw HTML. No anti-bot issues — the data is public and freely accessible.
AI structures every comment
Using GPT-4o-mini, we extract company name, role, tech stack, location, remote policy, and salary range from each comment. The result is a clean, structured JSON database — no more reading walls of text.
You get your top 5 matches
Tell us your preferred stack, location, and remote preference. Our matching engine ranks all roles and surfaces the top 5 that actually fit — in seconds, not hours.
What You Get
AI-structured roles
Every comment is parsed into a consistent schema: company, title, tech stack, location, remote, and salary. You get a clean, filterable list instead of 552 messy paragraphs. This alone saves you 2+ hours per month.
Smart matching
Our ranking algorithm weighs your skills, preferred location, and remote preference against every role. It doesn't just show you jobs — it shows you the right jobs. Stop scrolling, start applying.
Zero sign-up
No resume upload, no account creation, no "build your profile" walls. Just type your stack and hit enter. We respect your time — the whole point is to remove friction from your job search.