Brewing Data: Mapping San Francisco's Coolest Spots Amidst the Heatwave

San Francisco is heating up—and it's not just the tech scene that's on fire!

Demo

Introduction

As temperatures rise in San Francisco, finding the perfect spot to enjoy a chilled latte or crank out some work has become a top priority. At CoffeeBlack AI, we combined AI driven phone calls with OpenStreetMap and Foursquare data to map out the city's best cafes and coworking spaces with air conditioning, ensuring you stay cool and productive even on the hottest days.

Getting Cafe and Coworking Data

Our journey began with sourcing data on all the cafes and coworking spaces scattered across San Francisco. We tapped into OpenStreetMap (OSM) for a comprehensive list of locations. While OSM provided us with accurate geographical data, we aimed to enrich this information further.

That's where Foursquare comes in. By integrating Foursquare's venue data, we added valuable details like phone numbers and addresses. This fusion allowed us to create a robust dataset that offers not just locations but also the ability to contact them.

Calling Businesses with Bland AI

Static data is informative, but real-time information is transformative. To ensure our heatmap reflects the most up-to-date details, we employed Bland AI—a conversational AI platform designed for automated phone interactions. Bland AI reached out to businesses to confirm if they had air conditioning.

By automating these calls, we efficiently gathered fresh data, freeing up human resources for more complex tasks. Bland AI's ability to extract and collect nuanced information from conversations was instrumental in enhancing our dataset.

Building the Map with OpenStreetMap, Leaflet, and D3

With our enriched dataset ready, the next step was visualization. We utilized OpenStreetMap as the foundational layer for our map due to its open-source flexibility and detailed mapping of San Francisco. To make the map interactive and user-friendly, we incorporated Leaflet, a powerful JavaScript library for mobile-friendly maps.

To create a dynamic heatmap that visually represents data like venue popularity and density, we integrated D3.js. This allowed us to render complex, data-driven visuals directly onto our map, providing users with an intuitive way to find the most popular (and coolest) spots in town.

Conclusion

At CoffeeBlack AI, our mission is to curate alternative data streams and transform them into actionable intelligence. By leveraging AI to interact directly with businesses, we're breaking new ground in data collection and analysis. Our San Francisco heatmap is more than just a tool—it's an example of how innovative technology can make market and account research not only easier but also more insightful.

We're building knowledge graphs and developing APIs to provide unparalleled access to alternative data streams. If you're interested in how our intelligence layer can revolutionize your approach to data, we'd love to connect.

Schedule some time to chat with me if this sounds interesting

Calendly or Twitter