I'm Pradeep, the maker of ResumeAI. I built this after watching friends get auto-rejected by ATS systems before a human ever saw their resume — often for formatting or phrasing, not qualifications. Most "AI resume" tools either produce generic fluff or lock PDF export behind a subscription. So ResumeAI does three things differently: 1. ATS-friendly by default + an ATS check, so you're not filtered out on formatting. 2. AI that tailors to the actual job description — not just generic rewrites — plus interview prep from your resume + the JD. 3. A finished PDF on the free tier. No subscription to walk away with a real resume. Premium templates are one-time; Pro AI ($9/mo) is optional for unlimited AI. I'd genuinely love your honest feedback — what's confusing, what's missing, what would make you actually use it. I'll be here all day. 🙏
Founder of CV Aligner here, so I’m looking at the same problem from a neighbouring angle. “Beats the ATS” is clear, but I’d be careful with it unless you can measure whether the rejection was caused by parsing rather than fit. The more credible proof would be a before-and-after parsing test showing that dates, employers, titles and skills survive extraction, plus clear separation between source-backed tailoring and generated wording. I’d also put the finished free PDF and no forced subscription higher, because those are verifiable immediately. Do you currently expose which original CV lines support each tailored claim?
“Clean idea — always demand for resume tools.
Curious what actually makes someone choose this over the dozens of others — is it speed, quality, or something else? That decision moment is usually where most drop-offs happen.”
The ATS-focused positioning is a clear attempt to move beyond generic AI resume generation.
What would convince you that ATS optimization is the main reason users choose ResumeAI, rather than the broader need for better job search outcomes?