Symsolar

Inspiration

What it does

How I built it

Challenges I ran into

Accomplishments that I'm proud of

What I learned

What's next for Symsolar

This project is inspired by research that uncovered the disconnect between the local lending community and the solar PV business. Solar is growing, but local lending is not. We aim to bridge that gap.

Symsolar uses data analytics to drive customer identification and acquisition for residential rooftop and community solar.

We were challenged by lack of data on electricity consumption. So, we 'hacked' it and used other publicly available sources of data to build an estimation model for prediction solar capacity for any home in the US.

We're proud of being able to develop a model in such little time and course-correcting when we ran into the data availability problem.

We learned that data is a real problem, but it also presents a multi-million dollar opportunity.

Built With

• angular.js
• express.js
• mongodb
• node.js
• python