TrickCV


TrickCV
trickcv.com
AI-powered tool generating tailored CVs and cover letters for job applications directly in your browser.


TrickCV
trickcv.com
AI-powered tool generating tailored CVs and cover letters for job applications directly in your browser.
AI-powered tool generating tailored CVs and cover letters for job applications directly in your browser.
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TrickCV is an AI-powered platform that helps job seekers instantly tailor their CVs and draft matching cover letters for specific job postings. It works as both a web app and a Chrome extension, integrating with major job boards like LinkedIn and Indeed. Users can open a job posting, click 'Generate,' and receive two optimized PDFs in seconds, complete with a recruiter match score and ATS-friendly formatting. This streamlines the application process, allowing users to apply to multiple roles quickly.
Job seekers and professionals who want to optimize their application process and increase their chances of landing interviews. It's particularly useful for those applying to many roles or needing to quickly customize their documents for various industries.
TrickCV addresses a significant pain point for job seekers: the tedious and time-consuming process of manually tailoring applications. By leveraging AI and integrating directly into job boards, it offers a unique, efficient workflow. The promise of 'one click' and 'under 30 seconds per application' provides a clear competitive advantage and strong user value proposition in a large, recurring market.
AI-assisted scores estimated from public website information only.
FounderDeck estimates TrickCV at $650,000. This valuation reflects a highly polished product with a clear, compelling value proposition addressing a universal pain point for job seekers. The strong integration with major job boards, AI-driven tailoring, and explicit mention of a pricing model indicate solid monetisation potential. While the public information doesn't include explicit traction, funding, or user numbers, the concept and execution appear robust enough to command a strong early-stage estimate.
Valuation date: 2026-06-05. Estimate generated from public signals.
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