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Turn your verified experience into tailored, ATS-compliant applications with evidence-backed suggestions and transparent requirement matching.
San Francisco, CA • (415) 555-0192 • alex.morgan@email.com • linkedin.com/in/alexmorgan
Spearheaded 22 checkout pricing A/B experiments, identifying 3 high-converting funnels that increased quarterly ARR by $180K and reduced checkout drop-off by 14%.
SQL (PostgreSQL, BigQuery, Snowflake), dbt, Experimentation (A/B Testing), Amplitude, Python, Statistical Cohorts, Tableau
Single-column document flow and clean text layers help ensure your qualifications extract accurately in systems like Workday, Greenhouse, Ashby, and Lever.
Helping ambitious professionals land interviews at top companies such as
Generic resumes sent to dozens of jobs get overlooked. HyperResume helps you align your accomplishments directly to what hiring teams are looking for.
Deterministic layout order with standard section hierarchy. Prevents scrambled text extraction across Workday, Greenhouse, and Ashby.
We never fabricate employers, dates, or false skills. Every suggestion articulates your authentic work with STAR formulas and measurable impact.
Understand which required skills are supported in your profile, which need additional detail, and where genuine gaps exist before you apply.
Use a template that guides you. Our ATS-compliant designs are trusted by over 4.5 million job seekers.
A sleek design optimized for the tech industry. This template features distinct sections for technical skills and languages, making it the top choice for developers, engineers, and IT professionals who need to showcase expertise at a glance.
Deterministic single-column document hierarchies designed strictly for ATS parsers and human executive reviewers.
Know exactly where you stand. The live ATS score breaks down section completeness, action verb density, and quantifiable results.
Inspect keyword requirements, eliminate buzzwords, and verify genuine evidence in your work experience before applying.
Architected and deployed cloud-native backend processing 18M+ transactions daily with 99.99% SLA uptime, reducing database latency by 44%.
Consolidate resume preparation, job description matching, and application status tracking into a single system. Always know which resume version was submitted to each company.
Backend Engineer
Product Analyst
Full Stack Engineer
Start free. Upgrade only when you want automated AI bullet rewrites and unlimited tailored job versions.
Ideal for initial resume creation and standard PDF export.
Clear answers regarding ATS parsing, privacy, and our fact-grounded engine.
We design templates around standard Applicant Tracking System (ATS) parsing conventions: strict single-column document flow, clean UTF-8 character encoding, and recognized section headers (Experience, Education, Skills, Projects). We avoid multi-column floating boxes, graphics, and tables that frequently cause parsing errors in systems like Workday, Greenhouse, and Lever.
Never. HyperResume operates on a strict evidence-grounding principle. The engine assists you in structuring and clarifying the real facts, metrics, and responsibilities you provide (using STAR/XYZ formulas). It never fabricates employers, degrees, unearned skills, or false metrics.
Yes. You can duplicate your master profile into tailored versions targeted for specific job descriptions. Each version maintains its own version history, job match analysis, and export settings.
Traditional keyword counters merely count exact word occurrences, which encourages unhelpful keyword stuffing. HyperResume analyzes requirement competencies—mapping what the job description requires to the actual evidence demonstrated in your work experience.
Yes. All resumes render crisp, vector-standard PDF documents with selectable text that recruiters and automated parsers can accurately process. Standard unwatermarked PDF export is completely free.
Yes. Your resume documents and personal career history are stored in private storage. We do not sell your personal information or use your uploaded documents to train public foundation models.