Data In-house

Farol

Maps businesses in a region using public sources and measures signals of their online presence, to decide where a sales conversation makes sense.

Structural illustration, not a screenshot

Problem it solves: Prospecting in the dark wastes time on businesses that have no problem to solve.
Who it's for: Our own use, in Dream Harbor's prospecting.
Current stage: In use in Dream Harbor's prospecting.
Built with: Node.js
Playwright
Google Places
OpenStreetMap

What already works

Each business's website is opened in a real mobile browser, and whatever is broken gets recorded
Anything that couldn't be measured shows up as not measured, never as zero
Access keys to data sources kept on the server, never in the browser
Grouping by niche calculated on the fly from each business's public category

Related to our Data work, where the same kind of solution is built for clients.

Other in-house projects

Platform In development

Growth OS

A growth platform that will bring together market intelligence, paid ads on Meta and Google, and sales video in one environment, built from the start to serve multiple businesses.

Personal system In-house

Personal OS

The founder's personal operating system. Goals, projects, calendar, habits, learning and progress in one place, running on his own computer.

Platform On hold

DreamHub

A platform that brings together AI customer service, a CRM and metrics in one place, branded for each business that uses it.

Let's talk

Would something like this make a difference in your operation?

Tell us the problem. Sometimes it calls for a piece like this, sometimes for something much simpler.

Let's Look at This Process