AI agent that hunts jobs, tailors your resume, and applies for you
AI agents that automate personalized customer journeys across email, SMS, and onsite to drive retention and revenue
Stage
Not given
Not given
Founded
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2023
Based in
US
Not given
Pricing model
Freemium
Contact for pricing
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
Smart Targeting
User-level Personalization
Agentic Experimentation
Agentic Orchestration
Winback campaigns
Post-Purchase journeys
Welcome flows
Cross-Sell automation
Abandonment recovery
Churn Prevention
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
AI agents make real-time, individual-level decisions for each customer based on behavior and predicted outcomes
Causal AI that measures which actions actually drive lift, not just patterns in past behavior
No engineering required; integrates seamlessly with existing email and SMS platforms
True 1:1 personalization at individual customer level instead of segment-based optimization
NeverApply
Monocle