AI-powered marketplace that matches patients with the right therapist based on specialty, style, insurance, and personal preferences
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Core features, MVP scope, and platform targets
Technology choices optimized for speed-to-market and scalability
Third-party services to connect for maximum value
Phase-by-phase breakdown from design to launch
Tasks
Deliverables
Tasks
Deliverables
Tasks
Deliverables
Tasks
Deliverables
Key roles needed to build and launch
Full-time
$10,000-$15,000
Full-time
$12,000-$18,000
Part-time / Contract
$3,000-$6,000
Part-time
$4,000-$8,000
Part-time / Founder
$2,000-$5,000
Startup costs and monthly operating expenses
Break-Even Timeline
12-18 months
Target MRR
$80K-$400K
Recommended pricing tiers and positioning
$0/mo
$29-$79/mo
$149-$299/mo
Custom pricing
Key components of the business model
An AI-powered matching platform that deeply profiles both patients (needs, communication style, cultural preferences) and therapists (specialties, modalities, personality, lived experience) for high-quality matches. Handles insurance credentialing, claims submission, and payment processing. Differentiates by focusing on underserved specialties (perinatal mental health, grief counseling, ADHD coaching, culturally-specific therapy) where incumbents have shallow depth. Unlike competitors, we focus on adults seeking therapy frustrated with finding the right provider with a streamlined, affordable solution.
Deep domain expertise and technical moat create high barriers to entry for new competitors
• Primary: Transaction fees on sessions (10-15% platform fee) + SaaS tools for therapists ($49-$199/mo)
• Secondary: Premium feature upsells
• Tertiary: API access for enterprise
• Data insights and benchmarking reports
• Adults seeking therapy frustrated with finding the right provider, therapists wanting to build private practices without admin burden, insurance companies seeking improved mental health network access
• Early adopters willing to try new solutions
• Teams frustrated with incumbent pricing
• Zoom API (integration partner)
• Google Meet API (integration partner)
• Microsoft Teams API (integration partner)
• Zapier (integration partner)
• Engineering team salaries (60-70% of costs)
• Cloud infrastructure and API costs
• Marketing and customer acquisition
• Customer support operations
Estimated MRR growth over 24 months
| Timeline | MRR | Customers |
|---|---|---|
| Month 1-2 | $0 | Beta users (free) |
| Month 3 | $1,600 | 5-15 |
| Month 6 | $6,400 | 20-60 |
| Month 9 | $16,000 | 50-150 |
| Month 12 | $32,000 | 100-300 |
| Month 18 | $64,000 | 250-700 |
| Month 24 | $120,000 | 500-1,500 |
Pre-launch, launch day, and growth playbook
Month 1
100 registered users
Month 2-3
First 10 paying customers
Month 4-6
50 paying customers
Month 6-9
$10K MRR
Month 9-12
Product-market fit signal (40% 'very disappointed')
Month 12-18
$80K MRR
Metrics to track for growth and health
Monthly Recurring Revenue (MRR)
Weekly
Customer Acquisition Cost (CAC)
Monthly
Monthly Active Users (MAU)
Weekly
Churn Rate
Monthly
Net Promoter Score (NPS)
Quarterly
LTV:CAC Ratio
Monthly
Time to Value
Weekly
Feature Adoption Rate
Monthly
Support Ticket Resolution Time
Weekly
Organic Traffic Growth
Monthly
Regulatory and legal considerations