About Vdar

I built Vdar because I needed it first.

Vdar started as a side project for my own job search workflow. It became a product when I realized the problem was not just mine.

It started with my own frustration.

I did not start Vdar by trying to build another AI resume tool. I started because I needed a better way to apply for jobs myself. Like a lot of people, I tried the obvious AI workflow first: copy the job description, paste it into an AI tool, explain my background again, ask for a resume, fix the tone, fix the formatting, and repeat the whole thing for the next role.

It was supposed to save time. Most of the time, it just moved the work somewhere else.

So I built my own workflow.

At first, Vdar was just a system for myself: read my profile, read the role, score the match, explain the gaps, and prepare the materials I would actually send. The goal was not to make a fancy resume editor. The goal was to stop wasting nights on the same repetitive application chores.

As I kept improving it, the pattern became obvious. The market had plenty of AI products, but many of them still made the user do the real work: prompt, copy, paste, edit, compare, and repeat.

I did not want a resume editor or a mass-apply bot.

I looked at the market and saw two common directions. Some tools were resume editors, which still left users spending time tweaking every application. Others pushed volume and automation, but quality suffered. Neither solved the problem I cared about: high-quality applications without turning job search into another full-time job.

Vdar is the product I wanted to use. It reads the real evidence in your background, reads the target role, and translates your actual capability into language that hiring managers can understand quickly. The goal is not to make you look like someone else. The goal is to make what you have actually done impossible to miss.

The product is founder-led on purpose.

Vdar is self-funded and built from a real workflow, not from a pitch deck. I research the job-search and matching logic myself, I keep sharpening the engine, and I use the product the way I expect serious job seekers to use it: to save time without lowering standards.

Every generation has real cost, which is why Vdar is paid from day one. That keeps the product focused on people who are serious about applying well, not just trying every free AI toy on the internet.

The promise.

Your energy should go toward building real experience, not wrestling with resume chores. These annoying, repetitive tasks are exactly what AI should handle — but the output has to be good enough to trust.

Jason