AI-powered resume tailoring that matches your qualifications to job descriptions in seconds
AI writing tool for character headcanons and scene ideas
Stage
Not given
Not given
Founded
Not given
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Based in
US
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Pricing model
Freemium
Freemium
Pricing
Launchpad: $15/month (1 resume optimization per day, up to 30 per month). Accelerator: $26/month (3 per day, up to 90 per month). Unlimited Horizon: $32/month (5 per day, up to 150 per month). Free trial includes one resume optimization.
Free: 50 welcome Sparks for 7 days (up to 5 standard generations). Spark Pack 500: $4.90 (up to 50 standard generations, valid 365 days). Spark Pack Plus 2,000: $14.90 (up to 200 standard generations, 24% less per Spark, valid 365 days).
Key features
ATS-optimized resume generation
Resume tailoring in under 60 seconds
Job description scanning from multiple job boards
Multilingual resume optimization
Editable Word document downloads
Job-specific keyword analysis
Advanced formatting improvements
Priority processing
Generate structured headcanon ideas with premise, emotional logic, and scene hooks
Reroll and rewrite generations with 3 Sparks per rewrite
Save and share headcanons through public share links
Preset prompt angles for common fandom scenarios
Control panel for tone, angles, and canon distance customization
Generate multiple tones for the same character premise
Account-based result storage with persistent access after Sparks expire
What makes it different
Tailors resumes to match job descriptions in seconds instead of hours
Trained on 10,000+ resumes from people who actually got hired
Maintains your authentic voice while optimizing for specific roles
Works with any job source including company career portals
Templates and tone control built specifically for headcanon generation instead of generic chat
Reusable, structured output designed to be saved and shared with fandom communities
Emotional logic and expandable details for turning ideas into finished fic
Specialized for fandom writers with existing character tension and ships
Focused text-based generation rather than image generation