I applied to 100+ jobs, discovered a method that doubled my interview rate, and built a tool around it. Here's where I'm at.

A few years ago I was applying to roles across engineering, data science, and product management at the same time. I had a non-linear background and no clean narrative. My interview rate was 4%.

I started tailoring my CV manually for each application — going through my bullets and picking the ones most relevant to each job description. It was tedious. But my interview rate doubled to 8%.

The method worked. I called it the bullet library: write every career achievement you've ever had, once, in your own words. For each job, pick the 12–15 that match best. You're not rewriting — you're selecting.

The problem was the process. It took 20–30 minutes per application. And every AI tool I tried made it worse — ChatGPT would rewrite bullets I didn't ask it to rewrite, hallucinate metrics I never had, and lose the voice I'd deliberately chosen. Recruiters notice.

So I built https://landthisjob.com.

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What it does

Upload your CV. The parser extracts your work history into a bullet library. Paste a job description. AI ranks your own bullets by relevance and shows the reasoning behind each score. You toggle the ones you want, preview your CV, export a PDF.

60 seconds per application. Your words, matched to the job — not rewritten.

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What I've learned

The method is the product. The bullet library concept resonates strongly — especially with people who've applied to multiple types of roles or changed careers. That's the positioning I should have led with from day one instead of trying to be another "AI resume builder."

AI that selects beats AI that generates. The differentiation from ChatGPT isn't "we have better prompts." It's a fundamentally different task: retrieval vs. generation. That framing took me a while to get right in the copy, but it's the one that lands.

Solo + full-time job = 10 hours/week. That's the real constraint. One big feature per month. Everything else is copy, email, and fixing leaks. I've learned to be ruthless about what's actually moving the needle vs. what feels productive.

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What's next

Right now: email activation flows, fixing the Live Editor download rate (54% vs 93% for classic view — that's my single biggest conversion leak), and a credit pack for people who don't want a subscription.

Longer term: cover letter generator is already live but underused, Chrome extension for LinkedIn job import exists and works well. I want to get the core loop solid before I go wide.

Happy to answer questions about the bullet library method, the tech stack (Next.js + Django, hosted on Sliplane), or the funnel data. Always useful to talk to other solo builders working on tools in adjacent spaces.

LandThisJob is at landthisjob.com Free tier, 5 downloads/month.