LiftmyCV | AI Job Search Tool to Find, Match & Apply to Jobs

What

LiftmyCV is an AI job search and application automation tool for job seekers. It helps users find relevant roles, match against openings, and submit applications automatically or in a review-based mode, with resume and cover letter generation tied to each job.

The product appears positioned as a browser-based job application automation platform with built-in AI document generation and tracking. Its core workflow centers on matching jobs, filling application forms across multiple job boards and ATS platforms, tailoring application materials, and logging submission history so users can manage volume without tracking everything manually.

Features

• Autopilot and Copilot application modes: Users can let the AI agent handle the full application flow or review, edit, and skip jobs before submission for more control.
• Multi-platform auto-apply: The tool supports 10+ job boards and ATS platforms, filling forms, attaching resumes, and submitting applications to reduce repetitive manual work.
• AI resume generation per job: It creates ATS-friendly resumes and can generate a tailored version for each application to better align with role requirements.
• AI cover letter generation per job: The platform produces role-specific cover letters automatically, including from pasted job descriptions, which can speed up customization.
• Application tracker and history log: Users can review where and when applications were submitted, along with job titles, links, statuses, timestamps, and attached documents.
• Chrome extension control layer: The browser extension is presented as the main interface for starting, pausing, monitoring, and managing automation activity.

Helpful Tips

• Validate setup before scaling volume: Because onboarding may require some initial configuration, it is worth testing a small batch first to confirm filters, document quality, and platform behavior.
• Use Copilot mode for tighter quality control: For selective searches or senior roles, a review step can reduce mismatches and help maintain application quality.
• Audit generated resumes and cover letters periodically: Even when per-job tailoring is automated, users should check whether the output reflects their actual experience and target positioning.
• Pair automation with clear search criteria: The practical value of auto-apply depends heavily on role filters, application limits, and bookmarked searches being set thoughtfully.
• Use the tracker for follow-up discipline: A logged application history is most useful when it becomes the source of truth for outreach, interview prep, and duplicate avoidance.

OpenClaw Skills

Within the OpenClaw ecosystem, LiftmyCV could likely serve as an execution layer for job-search workflows, even though the source page does not describe a native integration. OpenClaw skills could be built to define role targets, rewrite professional summaries for different career paths, score openings against a candidate profile, and trigger structured application batches through LiftmyCV’s browser-based workflow.

A likely use case is a multi-agent career operations system: one agent identifies role themes, another prepares tailored positioning, another reviews application quality, and LiftmyCV handles submission and tracking. For career coaches, recruiting-adjacent services, or high-volume job seekers, this combination could shift the process from ad hoc applications to a managed pipeline with clearer targeting, better document consistency, and more systematic follow-up.