Raycaster helps sellers quickly understand which accounts to prioritize, what products to recommend, and how to engage effectively - replacing hours of manual research and guesswork with deep, actionable insights. We're building the intelligence layer that helps GTM teams truly understand and serve their most valuable customers.
Raycaster (F24) — making research machines; starting with growth teams. Previously built assistants at Meta/Apple/Snap.
Co-Founder of Raycaster, building next-gen account intelligence for enterprise sales. Previously, led GTM and LLM initiatives at Intuit and Uber while managing F500 customer relationships. Developed deep enterprise AI expertise at Solvvy (acquired by Zoom) and Stanford's AI Group. Now on a mission to transform how B2B companies understand and serve their most valuable customers.
Hey YC community! We're Levi and Anthony, building Raycaster to give enterprise sales teams an unfair advantage through deep research.
tl;dr
While others send "Congrats on Series B!" emails, we find the golden nuggets that actually close deals. Teaser
Try us: First 5 people to email founders@raycaster.ai get free intel on 5 dream accounts. Book demo.
Standard tools show you: "Company X just announced Series B. Someone visited your website."
We tell you: "Company X uses Amplitude for their experimentation (verified via API network calls). CTO discussed product velocity bottlenecks on a recent podcast. New Data Science Director is championing feature flags. Perfect timing for your experimentation platform."
Enterprise sellers waste 20+ hours/week hunting for such insights manually because:
Real, differentiated intel is buried in technical docs, scientific papers, and conference talks
Going in unprepared = instant credibility loss
Generic data doesn't help land $100K+ deals
How we do it:
Anthony (CTO)
Levi (CEO)