**LandThisJob** — Tailor your resume to any job description in 60 seconds.
Most AI resume tools rewrite your CV with generic bullets that sound nothing like you. LandThisJob takes a different approach: instead of generating content, it ranks *your own career achievements* against each job description — preserving your authentic voice while optimising for every application.
Upload your CV once. LandThisJob parses your work history into a personal bullet library. Paste any job description, and AI scores your bullets by relevance — showing you exactly which achievements to highlight and why. Toggle, preview, download a polished PDF in under 60 seconds.
Particularly powerful for career changers and professionals with non-linear backgrounds. The method took the founder from a 4% to 8% interview rate across 100+ applications.
**Features:** Live CV editor, 3 professional themes, cover letter generator, LinkedIn Chrome extension, job tracker.
**Free tier available. Paid from $19/month.**

Hey everyone — I'm Maged, the solo founder behind LandThisJob. I built this because I was the user. A year ago I was applying across engineering, data science, and product management at the same time — over 100 applications. My interview rate was 4%. Not because I wasn't qualified, but because I was sending a CV that never told the right story for the specific job in front of me. I started tailoring manually. Before each application I'd go through my bullets and swap in the ones most relevant to that role. It was tedious, but it worked — my interview rate doubled to 8%. I called the approach the bullet library method. The problem was it took 20–30 minutes per job, and every AI tool I tried made it worse by rewriting my bullets instead of selecting from them. So I built the thing I actually wanted: paste a job description, get your own achievements ranked by relevance, toggle what you want, export in 60 seconds. It's a solo product, built nights and weekends alongside a job search then a full-time job. Right now I have 1,500 users and I'm focused on getting more of them to that second and third download — the point where the tool becomes a real habit in someone's job search. Happy to talk about the bullet library method, the product decisions, or what I've learned building in this space. What's working in your job search right now?

Hey everyone — I'm Maged, the solo founder behind LandThisJob. I built this because I was the user. A year ago I was applying across engineering, data science, and product management at the same time — over 100 applications. My interview rate was 4%. Not because I wasn't qualified, but because I was sending a CV that never told the right story for the specific job in front of me. I started tailoring manually. Before each application I'd go through my bullets and swap in the ones most relevant to that role. It was tedious, but it worked — my interview rate doubled to 8%. I called the approach the bullet library method. The problem was it took 20–30 minutes per job, and every AI tool I tried made it worse by rewriting my bullets instead of selecting from them. So I built the thing I actually wanted: paste a job description, get your own achievements ranked by relevance, toggle what you want, export in 60 seconds. It's a solo product, built nights and weekends alongside a job search then a full-time job. Right now I have 1,500 users and I'm focused on getting more of them to that second and third download — the point where the tool becomes a real habit in someone's job search. Happy to talk about the bullet library method, the product decisions, or what I've learned building in this space. What's working in your job search right now?
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