Boolean search is broken. Clients don't use the right words, and you miss great jobs because of it. It's time to switch to Semantic Matching.
Quick Overview: Semantic Matching
AI Persona Matching compares the meaning of a job description to the meaning of your profile. It doesn't care if exact keywords are missing. If you're an "Expert in React," it knows you're perfect for a "Modern UI Frontend" job, even if the client never typed "React".
Falsely excludes relevant jobs (missing keywords)
Falsely includes irrelevant jobs (keyword stuffing)
Requires complex boolean strings (e.g. 'NOT wordpress')
Clients don't always know the right technical terms
Understands context and nuance
Matches based on skill level and project scope
Identifies 'implied' requirements
Analyzes every job for relevance
Don't just pick keywords. Paste your entire bio, your portfolio description, or a paragraph describing your ideal client. Tell the AI who you are.
Our system processes thousands of jobs in real-time. We use Large Language Models (LLMs) to analyze the intent behind every client's post.
You get a detailed "AI Summary" for every job. We only notify you when the AI determines it's a high-quality match based on your criteria.