Sapling Energy
Residential energy savings company. They reach homeowners through direct mail campaigns — and we built the tools that automate their entire pipeline.
Fastest speedup
Cost reduction
Tools built
Addresses processed
The problem: a 31-page manual
Sapling Energy reaches homeowners through direct mail. Before we started working together, every step of their campaign pipeline was manual — hiring freelancers for map analysis, contractors for satellite image review, staff for data cleanup, and someone to coordinate the mailing schedule.
The whole process was documented in a 31-page instruction manual. One campaign took 30+ days and $3,000+. Errors were common. And the only way to grow was to hire more people to do the same manual work.
What we built: 7 tools, from AI to automation
We replaced each manual step with a purpose-built tool — some powered by AI, others by smart automation and data engineering. Click through to see the before and after for each one.
Hired contractors to manually review satellite images of homes, classifying roof type, condition, shading, and energy savings potential one property at a time. Slow, inconsistent, and expensive at scale.
~1 month
$1,500+
AI analyzes satellite imagery of every property in a target area. Classifies roof type, identifies shading, estimates energy savings potential, and scores each home — all automatically.
~1 hour
~$400
What we used to build it
Website & Dashboard
- Next.js
- React
- TypeScript
- Tailwind CSS
- Mapbox Maps
Database & Backend
- Supabase
- Google Cloud Run
- Prisma
- API Routes
AI & Automation
- Google Gemini
- Claude
- Playwright
Data Tools
- Melissa Data API
- Google Sheets API
- SendGrid
- CSV processing
Hosting
- Vercel
- Google Cloud Run
- Docker
The bottom line
Sound like something your business needs?
We’d love to hear where your business is losing time or money. Maybe we can help.
Results reflect Sapling Energy’s specific operations. Some systems are in active development. Shared with permission.