Divercity.io helps tech companies measure and track the diversity breakdown of their workforce and application pool and helps them improve it by connecting them with qualified diverse talent.
Closing the workforce diversity and inclusion gap with data
Divercity.io helps tech companies measure and track the diversity breakdown of their workforce and application pool and helps them improve it by connecting them with qualified diverse talent.
Hello everyone! @cikokwu1, one of the makers of Divercity.io, here. We’re on a mission to close the workforce equity gap, starting with the tech industry. Quick backstory: Some years ago, I found out the hard way that the color of my skin (I’m black) could work against me in the workplace, and growing up in West Africa 🇳🇬, I never thought this would be the case when I moved to the US 22 years ago, until it happened. At my first job out of college, I was the first non-white employee ever hired by
As a diversity recruiter, I can personally attest to the need for and importance of a DEI-focused measurement tool. Any team serious about scaling their DEI hiring and retainment efforts needs to consider this product!
Congratulations on the launch! Considering the importance of DEI and companies globally striving for DEI growth, this product is incredibly valuable.
Congratulations! This is really great and much needed product destined for global success for sure!
The world needs more of this innovative ideas! Rooting for Divercity.io, and Congratulations on the launch!
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.