Perfectly
Perfectly provides an AI-native recruiting operating system that autonomously handles sourcing, outreach, and screening to help companies hire the best candidates faster and cheaper.
At a Glance
- Early-stage and growth-stage tech startups
- VC-backed companies
AI Tools by Perfectly
(1)
Perfectly
AI Recruiting Agency for Startups
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Latest News
Perfectly launches as the first AI-native recruiting agency in YC W26 batch.
Client testimonial: Stealth Series A startup moves off Paraform and cancels Juicebox for Perfectly's velocity.
Products & Services
An AI-native recruiting operating system that autonomously handles candidate sourcing, outreach, screening, and engagement.
An AI career super-connector designed to help candidates find and unlock dream career opportunities.
An autonomous AI recruiter that performs deep research into candidates and predicts their interview performance and job fit.
Market Position
Positions itself as the first AI-native recruiting agency, offering 4x faster hiring and 50% lower fees than traditional agencies.
Leadership
Founders
Victor Luo
CEO & Co-founder. Previously Machine Learning Scientist at TikTok, Software Development Engineer at Amazon, and Senior Machine Learning Engineer at Synthminds.AI. Also co-founded Bound and served as Head of Growth at Relish.
Zhuang (Gary) Luo
Co-founder. Previously Machine Learning Engineer at Meta and TikTok.
Huimin Xie
Co-founder & CAIO. Previously Tech Lead and Senior Machine Learning Engineer at TikTok, where he was a founding member of TikTok Live. Also worked as a Machine Learning Engineer at BIGO.
Executive Team
Victor Luo
CEO and Co-Founder
Ex-ML Scientist at TikTok, Amazon, and founder of Bound.
Huimin Xie
Co-Founder and CAIO
Former Tech Lead and Senior Machine Learning Engineer at TikTok.
Founding Story
Founders Victor and Gary Luo experienced the inefficiencies of traditional recruiting while at TikTok. They decided to leverage their expertise in AI and recommendation systems from TikTok and Meta to build an autonomous recruiting agent that outperforms traditional agencies.
Business Model
Revenue Model
Success-based fees from candidate placements.
Pricing Tiers
Charging roughly 15-25% based on role difficulty, positioned to be ~50% cheaper than traditional recruiting agencies.
Target Markets
- Early-stage and growth-stage tech startups
- VC-backed companies
- Filling hard-to-fill engineering roles
- Rapid scale hiring for startups
- Replacing traditional recruiting agencies with higher velocity solutions
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