AI-powered resume tailoring tool that rewrites your resume to match any job description and pass ATS filters
Turn a podcast into a blog post — free SEO draft
Stage
Startup
Not given
Founded
2024
Not given
Based in
PL
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Pricing model
Not given
Freemium
Pricing
Basic (Free): See your resume rewritten for 3 real jobs and track all your job applications. Premium: 7-day trial for $7, then $29/month with 30 tailored resumes/month. Lifetime Access: $75 one-time payment for lifetime resume builder access and 10 tailoring credits to start.
Free: 3 packs per day per IP, last 5 saved packs. Pro: first month $1.9, then $12/month, or $99/year billed annually. First 50 annual subscribers get 2 bonus months (14 months total).
Key features
Automatic application tracking and pipeline management
AI rewriting without fabrication of experience
AI-generated cover letters matched to each role
ATS-optimized PDF exports that parse cleanly
Resume builder with templates
Data encryption and privacy controls
Resume editing in the app before download
Support for unlimited resumes on premium plans
Resume version history and comparisons
Converts podcast transcripts and show notes to SEO blog drafts
Generates FAQ blocks and schema markup
Creates social media scripts
Includes publish checklist with canonical and sitemap guidance
Accepts audio file uploads for automatic transcription
Markdown and HTML download options
Pack history and recovery with email backup
BlogPosting and PodcastEpisode JSON-LD schema copy
Free podcast show notes template
What makes it different
Matches your resume to each specific job description instead of using the same resume for every application
AI only reworks existing experience, never invents skills or qualifications you do not have
Live match score showing alignment with job requirements in real time
Integrated application tracking so all job details live in one place
ATS-ready PDFs that do not get scrambled or misread by applicant tracking systems
Podcast-specific pack format instead of general AI rewriting
Works without a full transcript using structured show notes
Focuses on search intent and problem-solving rather than episode archive titles