WhatAn open-source, self-hostable AI agent that interviews candidates about their preferences and skills, then autonomously finds, rates, and applies to matching jobs — while giving employers the same AI-powered candidate evaluation.
SignalThere is deep frustration with the current hiring process on both sides — resumes are seen as terrible signals, candidates waste time on mismatched roles, and companies struggle to evaluate fit beyond credentials. Multiple people are independently trying to build solutions here.
Why NowAI agents can now conduct nuanced conversational interviews, parse job listings at scale, and make sophisticated matching decisions — capabilities that were not reliable even 12 months ago. The A2A protocol also enables standardized agent-to-agent communication for both sides.
MarketJob seekers ($50-200/year willingness to pay) and employers ($500-5000/year per role). TAM is a slice of the $30B+ recruiting market. Competes with LinkedIn, Indeed, but the mutual AI-agent matching with self-hosting is a genuinely different paradigm.
MoatTwo-sided network effect — the more candidates with rich AI-generated profiles, the more employers adopt the matching protocol, and vice versa. Open-source self-hosting creates trust and adoption velocity.
Show HN: I put an AI agent on a $7/month VPS with IRC as its transport layerView discussion ↗ · Article ↗ · 326 pts · March 27, 2026
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