AI-powered home energy management that automatically reduces bills by scheduling and optimizing device usage
Copy the full spec as Markdown — paste into Claude Code, Cursor, or any AI tool to start building
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
$40K-$180K
Recommended pricing tiers and positioning
$0/mo
$29-$79/mo
$149-$299/mo
Custom pricing
Key components of the business model
A software platform that connects to existing smart home devices (Nest, Ecobee, smart plugs, EV chargers, solar inverters) and uses AI to automatically optimize energy usage based on utility rate schedules, weather forecasts, solar production, and household patterns. No new hardware required -- works with what you already own. Unlike competitors, we focus on homeowners with 3+ smart home devices with a streamlined, affordable solution.
Deep domain expertise and technical moat create high barriers to entry for new competitors
• Primary: SaaS Subscription + Hardware Bundle
• Secondary: Premium feature upsells
• Tertiary: API access for enterprise
• Data insights and benchmarking reports
• Homeowners with 3+ smart home devices, solar panel owners, EV owners, and energy-conscious consumers in regions with time-of-use pricing
• 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 | $800 | 5-15 |
| Month 6 | $3,200 | 20-60 |
| Month 9 | $8,000 | 50-150 |
| Month 12 | $16,000 | 100-300 |
| Month 18 | $32,000 | 250-700 |
| Month 24 | $60,000 | 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
$40K 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