Guides that move you from applicant pile to offer letter.
No motivational fluff. These are tactical playbooks for ATS keyword coverage, recruiter readability, cover letters, and salary negotiation — each tied back to the free checker.
ATS keyword optimization: a practical guide to matching job descriptions
A practical, recruiter-readable system for finding the right resume keywords, placing them naturally, and avoiding spammy ATS tricks.
ATS resume mistakes that cost you interviews
The highest-cost ATS mistakes are not fancy formatting problems. They are missing proof, weak keyword mapping, vague bullets, and unclear role fit.
The cover letter that actually works
A concise four-part cover letter formula that connects your proof to the company's actual problem.
How much should I be making?
A practical way to estimate your market value using role scope, location, level, company stage, and compensation mix.
How to pass the resume screen: the recruiter edition
Think like a recruiter: make the role match, proof, and risk profile obvious in the first scan.
How to tailor your resume to a job description without keyword stuffing
A practical system for turning a job description into a targeted resume: map requirements, rewrite proof bullets, mirror language, and keep it recruiter-readable.
How to write resume bullets that convert
Turn job duties into interview-generating proof with a simple action, metric, and outcome structure.
LinkedIn profile optimization for recruiter search
Make your LinkedIn profile easier to find, easier to understand, and easier for recruiters to message.
Resume scanner for Product Marketing Managers: how to prove GTM impact
A PMM resume scanner should test positioning, launch impact, sales enablement, customer evidence, and revenue outcomes — not just generic ATS keywords.
Salary negotiation scripts for 2026
Word-for-word salary negotiation scripts for anchoring, countering, and protecting the relationship after an offer.
Why your resume isn't getting interviews — and how to fix it
If applications are disappearing into a black hole, fix the three failure points: targeting, parseability, and proof density.