OutsmartATS

beta

Tailor your resume to any job in 30 seconds.

Paste your resume and a job description (or paste a JD URL — we'll fetch it). Three AI models (Claude Sonnet 4.6, GPT-5.4, DeepSeek V4 Pro) rewrite it in parallel; a fourth scores each version against the ATS keyword rubric and surfaces the honest gaps. We never fabricate experience.

Free: 5 tailorings/month · No credit card · See plans

Works with JDs in 30+ languages — output matches the JD's language (English, Spanish, French, German, Portuguese, Chinese, Hindi, Japanese, and more).

Real before / after — 3 examples

Senior Software Engineer → Staff (Payments)

"Hiring Staff Engineer for payments platform. Must have: distributed systems, payment systems experience, fraud detection. Bonus: AWS, Stripe API, leadership."

Before

Worked on backend systems for a fintech, building APIs and helping the team ship features faster.

ATS score: 47
After OutsmartATS

Led design of distributed payment processing platform on AWS handling $2B/yr; integrated Stripe API and built ML-driven fraud detection that cut chargebacks 38%; mentored 5 engineers.

ATS score: 91
Keyword hits: distributed systems, payment systems, fraud detection, AWS, Stripe API, leadership
Marketing Manager → Growth Lead

"Looking for a Growth Lead to own paid acquisition, lifecycle email, and conversion-rate experimentation across web + mobile. SQL fluency required."

Before

Managed marketing campaigns and worked with the design team to improve our messaging across channels.

ATS score: 52
After OutsmartATS

Owned $4M paid-acquisition budget across Meta + Google, cut blended CAC 31% in 6 months; ran 40+ A/B tests on web and iOS; built SQL dashboards in Snowflake to attribute LTV by cohort.

ATS score: 88
Keyword hits: paid acquisition, lifecycle email, conversion-rate experimentation, SQL, A/B tests
Data Analyst → Data Scientist

"Data Scientist (Marketplace). Required: Python, statistical inference, causal experiments, ML model deployment. Nice to have: dbt, Airflow, recsys."

Before

Built reports in Looker and answered ad-hoc data questions for stakeholders across the company.

ATS score: 44
After OutsmartATS

Designed and shipped ranking model in Python (PyTorch) lifting marketplace GMV 12%; ran 9 causal experiments using diff-in-diff on Snowflake + dbt; productionized via Airflow with monitored retrains.

ATS score: 86
Keyword hits: Python, statistical inference, causal experiments, ML model deployment, dbt, Airflow