HN Match
AI matchmaking tool that pairs candidates and employers from Hacker News' monthly 'Who's Hiring?' and 'Who Wants to Be Hired?' threads with scored compatibility matches.
🔗 Visit HN Match
Description
Imagine two long lists posted once a month — one of companies hiring, one of people looking for jobs — and having to read through hundreds of forum posts by hand to figure out which ones might actually be a fit. That's literally how job-hunting has worked for years on Hacker News, a popular tech news site whose monthly hiring threads are legendary in the developer community but painful to search manually. HN Match automates that matching: it reads through both threads and tells you which job posts best fit your background, or which candidates best fit your opening, complete with a score explaining why.
Every month, Hacker News runs two threads — "Who is hiring?" and "Who wants to be hired?" — each drawing hundreds of comments from companies and job seekers respectively. HN Match ingests both threads and runs an AI-scoring pipeline that compares each candidate against each job posting on skill overlap, domain expertise, seniority level, salary expectations, and hard constraints like remote-vs-onsite. It surfaces two browsing modes (jobs matched to a given candidate, and candidates matched to a given job), each match link is shareable, and incompatible pairs are filtered out automatically before you ever see them. The whole thing is free, with no account required to browse.
💬 Our review
The short version: HN Match takes a genuinely annoying manual task — combing through hundreds of forum comments once a month — and turns it into a searchable, scored shortlist, for free.
There's no direct incumbent doing exactly this for HN threads specifically; the closest comparisons are general job boards (LinkedIn, Wellfound/AngelList, We Work Remotely) or generic resume-matching SaaS, which all require you to build a profile and compete in a much larger applicant pool. HN Match's edge is that it's scoped tightly to the HN hiring-thread community, which self-selects for a fairly senior, tech-heavy audience, and it produces its match list automatically from public thread data rather than asking you to fill out another profile. The tradeoff is real: it only covers HN's monthly threads (a much smaller pool than LinkedIn), match quality depends entirely on how well someone happened to word their HN comment, and it's a single-maintainer side project with no support SLA. Worth trying the same week a new hiring thread drops, since matches are only as fresh as the current month's threads; skip it if you need year-round job search coverage across the wider market — pair it with a mainstream board like LinkedIn or Wellfound for that.
💰 Pricing
📊 Global score
🤖 AI-enriched data
100% gratuit, aucune inscription requise pour parcourir les correspondances
Pros
Gratuit et sans inscription
Scoring automatique sur plusieurs critères (compétences, séniorité, salaire, remote/onsite)
Ciblé sur la communauté HN, audience tech qualifiée
Deux sens de recherche : jobs→candidat et candidat→jobs
Cons
Couverture limitée aux threads HN mensuels, bien plus restreinte qu'un LinkedIn
Qualité du match dépendante de la formulation du commentaire HN d'origine
Projet solo, pas de garantie de support à long terme