KraftCV

The third feature group includes ATS Scanner, Metric Coach, GitHub Integration, and Interview Prep. The ATS Scanner checks the resume's keyword match, formatting, and structural compatibility against common applicant tracking system parsers before submission, flagging potential issues like missing keywords or improper section headings. Metric Coach helps users transform vague bullet points into quantified achievements by suggesting specific metrics such as performance improvements, revenue impact, latency reductions, or adoption rates. This feature turns generic responsibilities into compelling, data-driven statements. GitHub Integration pulls repositories from the user's account and auto-generates strong project bullets based on real outcomes like stars, commits, and contributions. Interview Prep generates behavioral and project-specific questions derived directly from the resume content, preparing users for interviews with role-relevant questions.

The overall workflow is a three-step process: Save the job, Tailor your resume, Export and apply. Users begin by saving a job via LinkedIn link, Indeed link, or pasting a job description. The system extracts the essential requirements and creates a dedicated resume version. Next, they generate a role-specific version using JD Tailoring to rewrite bullet points, skills, and keywords. This step leverages AI to align the resume with the job posting. Finally, users export a clean, pixel-perfect PDF with no watermarks and unlimited exports. KraftCV also provides a job application pipeline view with stages: Save, Extract, Tailor, ATS, Deploy. This command center gives users visibility into their job search progress, ensuring every application is tailored and ATS-ready before submission. The entire process is designed around the real-world pattern of active job hunting.

Concrete use cases illustrate the product's value. A backend engineer applying to several companies saves each job link from LinkedIn, and KraftCV creates a separate tailored resume version highlighting the specific backend skills and experience each role demands. The ATS Scanner confirms keyword alignment before each application, improving callback rates. A frontend developer imports their LinkedIn profile, picks one of the ATS-friendly templates like Minimal or Developer, and exports a PDF in under five minutes. A tech lead uses Version History to compare resumes for backend, frontend, and PM roles, ensuring the best version is sent for each opportunity. Another user leverages GitHub Integration to auto-generate strong project bullets from their repositories, turning technical experience into compelling resume content. The outcome across these scenarios is faster application cycles, higher relevance per submission, and reduced editing time.

KraftCV targets software engineers, full stack developers, backend engineers, frontend specialists, SREs, tech leads, and other technology professionals who are actively job hunting or considering new opportunities. It is especially valuable for those applying to multiple roles simultaneously and who need to maintain several optimized resume versions without duplication. The platform works entirely in the browser, integrating directly with LinkedIn and Indeed for job saving. Pricing is structured around usage: a Free tier offers one resume, all templates, unlimited PDF exports with no watermarks, and ATS optimization. For active job searches, Passes provide full Pro access for 24 hours ($1) or 7 days ($4) with no subscription. The Lifetime plan costs $39 once and grants permanent Pro access with monthly AI credits. A recurring Pro subscription at $9 per month suits continuous applicants. This pricing model respects user intent, allowing access only when needed. KraftCV's ultimate takeaway is empowering job seekers to create job-specific resumes efficiently without subscription pressure, making every application count towards landing the next role.