The “one master CV unlimited applications” idea is strong, especially for students and early-career applicants. One challenge I’d watch is keeping the AI recommendations genuinely job-specific without turning every CV into keyword stuffing. A useful layer could be showing why each suggested change improves the match and what evidence from the job description supports it. That could make Indom feel less like another AI resume generator and more like a transparent application strategy tool. Curious if you’re planning to expose that reasoning to users?
Thanks Tayyaba, this is a really good point, and it is something we wanted to avoid with Indom.
Indom is not just stuffing keywords from the job description into your CV. It checks each skill against your actual experience and level. If a skill does not fit your background or is too senior for you, Indom skips it instead of forcing it into your resume.
And yes, we already show the reasoning after each run. You get the match score, a short analysis, and a breakdown of what was already in your CV, what we added, and what we skipped and why. So you can clearly see what changed and decide if you want to keep it.
If you want to try it yourself, upload your CV and paste any job post on indomcv.me. Your first two tries are free.
About
I built Indom because tailoring a resume for every job takes too much time. Most people either send the same CV everywhere or spend hours rewriting it and trying to get AI prompts right. Indom makes that process simple.
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