AI agent that hunts jobs, tailors your resume, and applies for you
Eight specialized AI agents research your question in parallel and deliver one clear answer you can act on
Stage
Not given
Startup
Founded
Not given
2024
Based in
US
SI
Pricing model
Freemium
Freemium
Pricing
Pro: $19/month billed yearly (7 days free, then $228 billed yearly, save $120); Max: $39/month billed yearly (7 days free, then $468 billed yearly, save $120). Pro includes up to 5 applications a day and 150 credits per month. Max includes up to 15 applications a day and 450 credits per month.
Not given
Key features
Daily matches filtered and ranked against your profile
Automatic resume tailoring for every application
Auto-applies to ATS forms with your information
Application tracking with receipts and status updates
Interview preparation with likely questions and talking points
MCP server integration with Claude, ChatGPT, and Cursor
Automatic blocking of current employer and specified companies
Cover letter generation tailored to each role
Resume Studio for customizing and exporting resumes
Eight parallel specialist agents analyzing different business data domains
Stripe and Google Ads revenue tracking with MRR and CAC analytics
Google Analytics 4 and Search Console traffic analysis
PostHog product analytics and funnel monitoring
Competitor website analysis and pricing extraction at scale
Real-time chat workspace with cited sources for all findings
OAuth secure, read-only data connections
Signal boards for ongoing metric monitoring
What makes it different
Applies automatically across 984,000+ verified job listings while you sleep, handling the entire form-filling process
Applies from its own email address to keep your inbox clean and separate from job spam
Paced applications respect your daily limits and preferences with manual review always available
Includes 3.4x more interviews with cover letters versus applications without them
Eight specialized agents work in parallel instead of a single chatbot
Every claim cited to live sources, not generated from training data
Bootstrapped with roadmap driven by customer needs, not investor targets
Data analyzed and discarded, never trained on models
NeverApply
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