Neighborly

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Inspiration

We bonded over our backgrounds and realized we all have memories of when community meant supporting each other. Times when someone didn't have to be there but wanted to, and it made a difference. Times when we went out of our way to give and had a great time doing so. It's clear to us that these moments become less and less common as people who want to help don't. They never stopped caring, but with all the struggles of life, how can everyday people know where to start.

In the same vein, communities need help and are trying to help themselves. Often times even small communities have some resources, but attention is fragmented. People are trying to support each other, but don't have a way to reach out and be seen.

Posts get buried, organizations are stretched thin, and neighbors aren’t sure what’s most urgent for the person next door. We wanted to create a simple way to match offers of help with real needs—right where they happen, right next door.

What it does

Neighborly is a mutual-aid app that makes helping local communities simple. Users can offer or request items, services, or time, while organizations can post shortages directly. AI agents highlight the top 3 urgent needs nearby, balance supply and demand, and keep posts safe and trustworthy.

How we built it

We designed a location-aware platform with flows for Offers, Requests, and Volunteer events. We integrated AI agents from Google's ADK for urgency tagging, supply-demand balancing, and syncing with food banks and shelters via CSV/API feeds. The frontend prioritizes accessibility and simplicity, while the backend ensures effective coordination and real-time updates.

Challenges we ran into

Finding an idea that mattered to all of us.

Balancing simplicity with powerful AI-driven features.

Designing trust and safety mechanisms that respect users without slowing down the user experience.

Creating a platform that can support data from diverse organizations with inconsistent formats.

Accomplishments that we're proud of

Creating an attractive and comfortable UI

Building AI-powered agents to surface and organize urgent needs.

Designing a system that works for individuals and organizations.

Prototyping a solution that can scale beyond one neighborhood.

What we learned

Small design choices (like urgency tags) can massively improve clarity.

Community trust is just as important as technical functionality.

Standardizing how needs and offers are posted makes matching much easier.

What's next for Neighborly

We plan to expand AI capabilities, sync with more community organizations, and test pilot programs in real neighborhoods. Features like volunteer matching, weather-aware recommendations (e.g., coats in winter), and event aggregation will make the app even more impactful.