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CareerTWiN

Proof-based AI hiring intelligence for technical teams

CareerTwin reimagines technical hiring by providing an intelligence layer that moves beyond traditional resume screening. Key features include: • Proof-based candidate verification • Comprehensive role fit analysis • Identification of potential risk signals • Quantitative fit scores • Targeted interview probe suggestions This platform helps startups, recruiters, and companies efficiently filter through applicant noise by evaluating concrete evidence of a candidate's capabilities. It scrutinizes public proof such as GitHub contributions, work history, and publications, scoring each requirement as verified, inferred, or uncertain. This 'verification-first' approach ensures that hiring teams receive a curated shortlist of candidates who genuinely meet the role's demands, rather than a broad selection based solely on keywords. CareerTwin also offers an optional asynchronous screening step, where candidates answer 3-5 targeted technical questions. Their responses are then scored and integrated into a comprehensive decision packet, often replacing initial 45-minute screening calls. This streamlines the early stages of the recruitment process, allowing teams to quickly understand why a candidate is worth interviewing and what critical questions to ask next. Designed for engineering teams who prioritize velocity and data-driven decisions, CareerTwin significantly accelerates time-to-hire. It's ideal for organizations seeking to optimize their sourcing and screening process, ensuring only highly vetted, shortlist-ready profiles land in their inbox.
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