Hire your first 10 team
members — faster.
Semantic matching for Pre-Seed to Series A founders hiring founding & early engineers.
USED BY FOUNDERS BACKED BY
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 → 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
VP of Engineering, TechFlow
"The quality of candidates is unmatched. It's like having a senior recruiter working 24/7."

David Chen
Founder, ScaleUp
"Automated vetting saved us hundreds of hours. Highly recommend for any technical founder."

Mashle Ross
CTO, DataSystems
The steps
How It Works
Share your context
We take in your role needs, team makeup, and company context – not just a job description.
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.
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.