3,000,000top websites, with every technology on each one.
One site, every technology it runs.
Every one of the 3,000,000 sites gets a record like this one.
harbor-and-oak.example
A direct-to-consumer brand with a heavy marketing stack.
Three things, from one dataset.
Look up any of the 3,000,000 sites in the file and see every technology it runs.
Filter the file to every site that runs a technology, then narrow it by what else they run.
One row per site, delivered as a CSV. Open it in Excel or Google Sheets, or load it into your own tools.
Teams that sell to, compete with, or study the web.
Find your job below. Each one turns the same file into something different.
Call the companies that already need you.
Pull every site running the platform you integrate with or replace. Open each conversation with their stack, not a cold pitch.
Pitch the sites that fit what you build.
List every site on the platform you specialise in, then reach out to the ones that match your service.
Know exactly who runs your rival.
See every site on a competitor’s product, and what sits next to it. It is a map of who uses it, in one file.
Build the integration your customers already need.
Find the platforms your customers share, then back your next partnership with a count instead of a hunch.
Aim every campaign at the right sites.
Target the sites using a competing tool, or the platform your campaign is built around, and skip the rest.
Size a market with a count, not a survey.
Measure how many real sites run a technology, and compare its share across a category.
See how far an issue reaches.
Map where a platform is deployed across the web, so you know the size of the exposure before you act.
Know every account’s stack.
Match your customer domains against the file and add each account’s technologies to your own records.