GoodDeeds.AI

GoodDeeds.AI was an independent AI venture that helped organizations design, fund, and execute higher-impact social projects.

The Problem

Many nonprofits and social-impact teams struggle with three connected challenges:

• Designing high-quality projects with limited strategic capacity.
• Finding relevant funding opportunities fast enough.
• Measuring impact in a way donors and stakeholders trust.

Most teams are mission-driven, but tooling and decision support are fragmented.

What We Do

We built a platform that aggregated data on 2M+ U.S. nonprofits and used AI to support funding discovery, project design, and impact measurement.

Product Approach

• AI-assisted project framing to improve clarity and execution quality.
• Funding-fit support using structured nonprofit and grant signals.
• Impact measurement workflows that make outcomes more actionable.

My Role

I led across product strategy, venture direction, and AI application design:

• Defining product scope and priorities.
• Shaping data-to-decision workflows for social-impact use-cases.
• Building partnerships and translating ecosystem needs into product bets.

Traction and Validation

• Data layer covering 2M+ U.S. nonprofits.
• Selected for Microsoft AI4Good.
• Participated in Google for Startups.
• Joined Nvidia Inception.
• Secured a first paying customer.
• Raised pre-seed funding.

Recognition

• Selected for Microsoft AI4Good program
• Google for Startups participant
• Nvidia Inception program member
• First paying customer secured
• Pre-seed funding raised

What This Taught Me

• AI for social impact only works when it supports field reality, not just model quality.
• Trust and adoption matter as much as technical accuracy.
• The strongest impact products connect mission clarity, operational execution, and measurable outcomes.