The machine side of job searching
Practical, no-fluff guides to what actually happens after you hit “Apply” — how tracking systems parse and rank your resume, why so many applications end in silence, and how to fix it honestly.
What is an ATS and how does it read your resume?
The real pipeline — parse, extract, match, rank — behind every application you submit. Plus the auto-rejection myth, why white-text keywords backfire, and the short list of things that genuinely get you filtered.
Applied and heard nothing? The silent-rejection pipeline, explained
You didn't lose to a better candidate — you lost to a keyword parser. Where applications actually die (parse, rank, skim, ghost), how to diagnose your own pattern, and the fix list in priority order.
Why one CV for every job fails — and how to tailor in minutes without lying
Every posting weights different keywords; a static CV can't match them all. What tailoring really is (rephrase, reorder, re-emphasise — never fabricate), the 25-minute manual checklist, and the fast way.
ATS-friendly resume formatting: what breaks parsers, with concrete do/don't
Columns, tables, headers, icons, fonts, image-based PDFs — how each one breaks parsing, why, and what to use instead. Ends with a quick-reference do/don't card and a ten-second self-test.
Reading is good; a score is better. Free in ~30 seconds.