How AI-Powered Recruitment Supercharged a Crypto Startup's Growth Team

Crypto-specific roles lacked qualified applicants, and manually identifying proven growth marketers slowed down hiring during key funding phases.

Slow, multi-week hiring cycles led top candidates to accept quicker offers, causing frequent no-shows and delayed momentum.

Applicants exaggerated growth metrics and project impact, making it hard to identify genuine contributors through traditional resume scans.

Coordinating interviews across eight countries caused messy email loops, interview overlaps, and long hiring delays.

Without a shared evaluation system, founders and leadership disagreed on candidate fit, leading to decision paralysis.

LeoBrain’s AI recruitment tool identified high-fit candidates by analyzing crypto project keywords and achievements directly from uploaded resumes.

Pre-set assessments and auto-evaluations helped filter strong marketers faster, reducing interview stages and boosting candidate engagement.

Custom forms with candidate self-evaluations made exaggeration easier to detect through consistent question formats and trackable responses.

The AI recruitment software synced calendars across time zones for seamless international interviews, eliminating scheduling confusion.

Structured evaluation tools allowed decision-makers to rate candidates transparently, resolving disagreements and aligning final hiring calls.