We're not building a product TO a market. We're solving the actual problems of a real, profitable club — and discovering that those problems ARE the product.
The NEPC Problem
Give n Receive Solves It By…
High-quality experiences live in Krista's head. We know what good looks like — can't scale it.
Encoding Krista's judgment into a model that proposes group compositions every event. Every correction trains it.
Invitation-based events feel exclusive — but reach a small set. Players love them (no calendar to check, sense of belonging). We need MORE players in the ecosystem; events aren't on the public calendar.
Routing invitations to the right players at the right cadence. Same exclusive feel; bigger eligible pool. The product IS invitation-based matchmaking.
Pro followings are under-monetized. Every pro has students who'd take any private, Pro+3, or clinic with them. Scheduling falls through the cracks.
Pro Following Autopilot — matches each pro to their followers, recurring cadence locked in, last-minute slots filled in seconds. Nothing slips. $30–50K/yr/pro recovered.
Lessons + clinics never get referred. Players who LOVED a lesson with Caleb or a clinic with Dave would invite a friend — there's no mechanism.
Invitation-based matchmaking applied to the academy: "I just took an amazing clinic — want to come with me?" sent in one tap, routed to the right friend.
Subs & cancellations leave courts with 3 of 4. Manual scrambling every time. Headcount almost never divides cleanly by 4.
Knows who would jump for the open spot — right band, right style, free right now. First yes wins. Court fills in seconds.
Cross-silo isolation. The 4.0 women's group never meets the 4.0 men's group. Same club, parallel universes.
Bridges silos with curated cross-events — same band, different room. Detects who'd actually click and routes them in.
Beginner-to-member journey. New players walk in, fall off without making friends, never become members.
Routes their first three experiences for maximum belonging. Pairs with welcomers, places in the right social rooms, tracks the conversion.
At-risk member detection. A member about to churn looks normal — until they're gone.
Sees the social-signal pattern (frequency, partner diversity, post-event sentiment) before they leave. Flags the member; routes a save play.
The new face who feels unseen. First-timer comes in, nobody talks to them, never comes back.
Flags the new face on arrival; assigns a known welcomer; tracks whether the welcome happened.
Up-leveling players when they're ready. Band moves are subjective; players sandbag or stall.
Reads the data — outcome margins, partner-strength weighted — and proposes the move. Pro confirms in 5 sec.
