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AI RecruitingVerified90% conf

AI-native recruiting agency that automates candidate sourcing and screening for tech startups

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📍 San Francisco, CA

Verified Data

💰
Est. Revenue$100K-$500K ARR

Based on YC W26 batch status, $130K seed funding, 3-person team, and dozens of startup clients with 15-25% commission model. Early-stage recruiting agencies typically generate $50K-$200K per founder annually.

🚀
Funding$130K seed from Y Combinator
🔗ycombinator.com
📊
Monthly Traffic<10K monthly visits

Low / Not specifically ranked (Estimated <10,000 monthly visits)

👥
UsersDozens of startup clients

Dozens of startups (Notable clients: LlamaIndex, Porter, Corgi, Giga)

🧑‍💻
Team Size3 founders

3 founders (Victor Luo, Zhuang 'Gary' Luo, Huimin Xie)

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Growth10x candidate volume vs traditional agencies, 2x higher interview pass rate

10x candidate volume increase compared to traditional agencies, 2x higher interview pass-through rate, 4x faster role-filling (filled in days/weeks), 250% higher candidate interview retention

🏷️
StageSeed (Y Combinator W26)
📅
Founded2025

Company Profile

ModelB2B recruiting agency
VerticalTechnology startups, Venture-backed companies
ClientsLlamaIndex, Porter, Corgi, Giga
BuyersHigh-growth, venture-backed technology startups (Series A and Stealth) with significant engineering and product hiring needs
PricingCommission of 15-25% of hired candidate's first-year compensation

Contact

Strategic Analysis

Strategy

Building an AI-native recruiting agency to replace manual recruiting labor with automated systems. Targeting high-growth venture-backed startups with performance-based commission model. Leveraging proprietary ML systems built by former TikTok/Meta researchers to deliver superior candidate quality and speed.

Tactics

Launched flagship AI recruiter 'Paul' for automated screening and interview management. Offering 15-minute setup for comprehensive AI-driven recruiting teams. Using performance metrics (10x candidate volume, 2x pass rates) to differentiate from traditional agencies.

Competitive Positioning

Competes with traditional recruiting agencies by positioning as AI-native alternative. Differentiates on speed (4x faster role-filling), quality (2x higher interview pass rates), and volume (10x candidate increase). Targets tech startups specifically vs. generalist agencies.

Marketing Approach

Founder-led LinkedIn content marketing and direct outreach to venture-backed startups. Leveraging Y Combinator network and alumni connections. Case studies with notable clients like LlamaIndex and Porter to build credibility in tech ecosystem.

Notable

Y Combinator W26 batch, founded by former TikTok/Meta researchers

🔗 Source ↗

Tech Stack

Amazon AWSCloudFlareCloudFlareGmailGoogle AppsProprietary ML systemsAI Recruiter 'Paul'

Recent News

Related AI Recruiting Companies

Discovery Sources

Perfectly
Mar 15, 2026

Signals

trend indicatorCareer🔗 source ↗
trend indicatorMessaging🔗 source ↗
trend indicatorHiring🔗 source ↗
web traffic<10K monthly visits

Low / Not specifically ranked (Estimated <10,000 monthly visits)

growth rate10x candidate volume vs traditional agencies, 2x higher interview pass rate

10x candidate volume increase compared to traditional agencies, 2x higher interview pass-through rate, 4x faster role-filling (filled in days/weeks), 250% higher candidate interview retention

team size3 founders

3 founders (Victor Luo, Zhuang 'Gary' Luo, Huimin Xie)

user countDozens of startup clients

Dozens of startups (Notable clients: LlamaIndex, Porter, Corgi, Giga)

funding raised$130K seed from Y Combinator🔗 source ↗
trend indicatorrecruiting🔗 source ↗
trend indicatorAI🔗 source ↗
trend indicatorStartup🔗 source ↗
trend indicatorRecruiting🔗 source ↗
trend indicatorAI🔗 source ↗

Evidence

ycombinator.com

4× faster hiring

ycombinator.com

70-80% of tech jobs are filled through referrals before they ever hit a job board.

ycombinator.com

$130K seed from Y Combinator

producthunt.com

70-80% of tech jobs are filled through referrals before they hit a job board.