Perfectly

The AI-native Recruiting Operating System

Winter 2026ActiveB2BArtificial IntelligenceRecruitingSan Francisco, CA, USA

Company

https://www.perfectly.so

Perfectly is the first ever end-to-end AI recruiting agency. We learn your deep hiring preferences via our intake, then we source and outreach to thousands of candidates that fit exactly what you're looking for. Then candidates conduct an AI screen that can be reused for future jobs, and are delivered straight to the hiring manager's portal for interviews. Recruiting is broken because information between candidates, hiring managers, and recruiters is lost at every step. We realized the opposite could be true: The more you tell us, the more accurately our algorithm can match you. That's how we build trust.

Verdict

Medium Signal

Market Opportunity

Recruiting/staffing is a $200B+ global market and AI-driven recruiting tools are a real and growing B2B SaaS/services category. ICP is clear: fast-growing startups backed by top VCs needing engineering hires. Monetization is traditional agency model (15-25% placement fee) with potential to expand into SaaS. However, the startup recruiting niche is narrower and they're competing against established agencies plus software tools simultaneously.

High Signal

Founder Signal

Victor Luo is ex-ML Scientist at TikTok (recommendation models), self-taught coder who went from no CS background to Amazon intern to TikTok in 3 years. Gary Luo is ex-Senior MLE at Meta (9 months, HSTU optimization) and TikTok intern, with 6+ years ML experience including Soul App recommender systems. Huimin Xie is ex-Senior MLE/Tech Lead at TikTok for 4.5 years leading LiveStream recommendation for 100M users. Three technical ML scientists from Tier-1 companies building a recruiting recommendation system — strong domain fit.

Low Signal

Competition

Direct competitors include Paraform, Juicebox, Gem, Greenhouse, Lever, and dozens of AI recruiting startups (HireVue, Fetcher, Findem, Beamery). The testimonial explicitly mentions moving off Paraform and canceling Juicebox, confirming direct competition. Incumbent ATS vendors (Greenhouse, Lever) and AI wrappers are everywhere; the 'AI-native agency' positioning is differentiated but not defensible long-term without proprietary data or network effects. Big players like LinkedIn are already building AI sourcing tools.

Medium Signal

Product

Website has a named testimonial (Caleb Burns, founding team at Series A stealth startup) citing 10x interview volume and cancellation of Paraform/Juicebox. Claims 2x interview pass rate and 4x faster role fills. However, no named customer logos, no pricing page with live tiers, and the 'success story' is a single anonymous stealth startup — real but thin social proof.

OverallB Tier

Three legit ML scientists from TikTok/Meta applying recommendation system expertise to recruiting is a genuinely differentiated technical angle — this isn't a prompt-wrapper play. They have at least one real customer who fired competing agencies, which is a meaningful early signal. The core risk is defensibility: the recruiting software and agency market is brutally crowded, margins get competed away fast, and the 'AI agency' model blurs between software and services in a way that's hard to scale. No named customer logos, no revenue figures, and a very thin public proof base for a market where trust and track record matter enormously. Worth watching but needs more traction evidence to break into A tier.

Active Founders

Victor Luo

Founder

I help startups hire 11x engineers 2x founder | ex-ML Scientist at TikTok

Zhuang (Gary) Luo

Founder

Building an AI-native recruiting platform ex-MLE at Meta and TikTok

Huimin Xie

Co-Founder

Building the future of human careers ex-Tech lead & Senior MLE at TikTok

Perfectly

TierB Tier

BatchWinter 2026

Team Size3

StatusActive

LocationSan Francisco, CA, USA