This is exciting to see here! I’ve spent a lot of time and effort on the challenges surrounding effective philanthropy. Prior to seeing it firsthand while mana

This is exciting to see here! I’ve spent a lot of time and effort on the challenges surrounding effective philanthropy. Prior to seeing it firsthand while managing IT for a non-profit, I imagined that the bottleneck issues were advanced technical challenges; things like capital smoothing and what I think of as elastic capital allocation: capital allocation directed by marginal cost (per unit-social-benefit) among a portfolio of operating non-profits. That stuff is exciting - and when it comes to fruition it will change the world in a huge way. However, as you get into it you realize that even for high-performing and well-funded organizations, the challenges and roadblocks are much more pedestrian. They’re things like standardized metrics [1] and data collection when your program’s target members don’t have internet access. Perhaps the toughest challenge is the most straightforward: the non-profit employees trying to tackle these problems are non-technical, with limited access to technical resources. They’re forced to become subject matter experts on impact metrics and analytics, data science and their database-of-choice all at once. It’s quite a challenge. My passion for both the sector and the technical challenges led me to found sluce.io [2], which makes software that addresses this exact challenge for operating and supporting organizations as well as Impact Investors. I’m happy to discuss these challenges with anyone who’s interested. [1] https://iris.thegiin.org/metrics https://iris.thegiin.org/metrics [2] http://sluce.io http://sluce.io