CoffeeSpace AI

Hire your first 10 team
members — faster.

Semantic matching for Pre-Seed to Series A founders hiring founding & early engineers.

See how it works

USED BY FOUNDERS BACKED BY

Y CombinatorAndreessen Horowitz (a16z)OpenAIStartXFounders Fundand more

See CoffeeSpace AI in Action

From founder context → shortlist in minutes, not weeks.

Why founders use CoffeeSpace

Job boards → high volume, low signal, founder time sink

Recruiters → slow loops, generic outreach, misaligned incentives

CoffeeSpace

CoffeeSpace → context-rich, curated shortlists built for your exact roles

Hear from our customers

"CoffeeSpace completely transformed our hiring process. We found our Lead Engineer in 4 days."

Sarah Jenkins

Sarah Jenkins

VP of Engineering, TechFlow

"The quality of candidates is unmatched. It's like having a senior recruiter working 24/7."

David Chen

David Chen

Founder, ScaleUp

"Automated vetting saved us hundreds of hours. Highly recommend for any technical founder."

Mashle Ross

Mashle Ross

CTO, DataSystems

The steps

How It Works

01

Share your context

We take in your role needs, team makeup, and company context – not just a job description.

02

We surface high-signal matches

We run a role-specific semantic search built around your team context and preferences, blending filters, keyword search, and LLMs to rank best-fit candidates from our 20K+ active users and 1M+ extended builder network.

03

We iterate with you until you hire

You review a curated shortlist. As you shortlist and engage, our model continuously refines the search to surface better-fit candidates – learning what "great" looks like for your team.

Ready to hire your first 1–10?

No job posts. No recruiters. Just high-signal matches.