Hire your first 10 team
members — faster.
AI-powered matching for Pre-Seed to Series A founders hiring founding and 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 helped us build the foundation of our early team. Within a year, we raised $1.5M, grew to a six-person team, and reached $160K in ARR. The signal quality was materially stronger than traditional sourcing approaches – especially at the earliest stage, where every hire meaningfully shapes the company."
Mike Allan
Co-Founder, VC-Backed Stealth Startup
"Hiring our founding engineer was one of the most important decisions for our company, and CoffeeSpace made that process meaningfully easier. Beyond just sourcing candidates, they deeply understood our context and filtered for the traits that truly matter at an early stage – communication, ownership, and startup readiness. We ended up hiring a strong founding engineer through them and would absolutely work with CoffeeSpace again for future early hires."
CTO & Co-Founder
Tier-1 VC-Backed Stealth Startup
"I was genuinely impressed by the precision of CoffeeSpace's semantic search. For a highly specific request – technical leader candidates with mental health experience in the SF Bay Area – the results were noticeably more accurate than anything I could achieve using traditional filters. As CoffeeSpace continues to scale, I believe this approach will enable founders to connect with truly aligned builders far more efficiently than any other method today. It directly addresses one of the hardest early-stage challenges: finding the right people to build with."
Musa Khan
Founder, Ally
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.