Expert Mentorship Marketplace
Two-sided marketplace matching vetted experts to learners. Stripe payouts, semantic matching, and async advice—positioned between free ADPList and premium MentorCruise.
Learners want specific expertise: "How do I price enterprise SaaS as a solo founder?" or "What's the interview loop at Stripe for EM roles?" Generic career coaching does not help. They bounce between free communities (high noise), expensive bootcamps (high commitment), and cold LinkedIn DMs (low response rate). Experts with real credentials want lightweight monetization without building a course. Learners want one great hour, not a twelve-week curriculum. The gap is a marketplace optimized for single-session and micro-package bookings with semantic matching and escrow payouts—see also Virtual Knowledge Hub for the executive-tier variant with async libraries.
Built for Non-Technical, Solo Founders.
MentorCruise lists thousands of mentors—validates willingness to pay $100–300/mo for ongoing access.
Suggested stack: Next.js 14 + Supabase, Stripe Connect Express, Cal.com embed + Daily.co, Claude + embeddings. Weekend scope: about 12 hours.
The Problem
Learners want specific expertise: "How do I price enterprise SaaS as a solo founder?" or "What's the interview loop at Stripe for EM roles?" Generic career coaching does not help.…
The Solution
Expert onboarding + manual approval (quality gate)
Market Research
MentorCruise lists thousands of mentors—validates willingness to pay $100–300/mo for ongoing access.
Competitive Landscape
MentorCruise — Subscription mentorship, strong in tech. Less flexible for one-off sessions; supply skews senior IC coaches. $39–$299/mo typical mentor plans
Business Model
Learner booking (Pay per session) — Platform fee 15%; experts set $75–$300/session
Recommended Tech Stack
Next.js 14 + Supabase — experts, learners, bookings, reviews, expert_embeddings. Status workflow: applied → approved → active.
AI Prompts to Build This
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1. Marketplace Schema
Create Next.js marketplace: experts (bio, tags, hourly_rate, stripe_account_id, embedding), learners, bookings (scheduled_at, amount_cents, status), reviews. Expert application form with LinkedIn URL + 3 expertise tags. Admin /admin/approve queue. Public /experts grid with filters. Expert profile /experts/[slug] with Cal embed.
2. Semantic Match Endpoint
POST /api/match { goal, background, budget_max }. Embed goal with text-embedding-3-large. Retrieve 20 experts. Claude re-rank to 3 with { expert_id, reason } JSON. Show reasons on UI cards. Log conversions when booking completes.3. Stripe Connect Escrow
Implement booking checkout: PaymentIntent on platform account with transfer_data.destination = expert Connect id, application_fee_amount = 15%. Webhook payment_intent.succeeded → confirm booking. After session, learner confirms → transfer; auto-release after 72h unless disputed.