Understanding the Demo

The live platform at karmyq.com runs a continuous simulation of a mutual aid network based in Portland, Oregon. This simulation exists so you can see what Karmyq looks like when it is actually being used — not a wireframe, but a living community.

What You're Seeing

The platform currently shows a simulated network of neighbors helping neighbors across several Portland communities: the Portland Mutual Aid Network, Southeast PDX Helpers, PDX Parents Co-op, Portland Tool Library & Share, and several professional service networks.

All accounts with @test.karmyq.com email addresses are synthetic. Their activity — requests for help, offers, completed matches, trust connections — is generated by a simulation engine running continuously in the background.

How Activity Is Generated

The simulation engine runs 10 concurrent workers, each independently acting as a simulated community member. Workers create help requests, offer assistance, complete matches, submit feedback, call dibs on requests, and participate in community governance — all through the same APIs a real user would call.

This means the trust graph, karma scores, and match history you see are the result of real platform behavior, not seeded test data.

What Real Users Would Look Like

In a real deployment, each of these interactions would be a person. A neighbor without a car asking for a ride to a medical appointment. A parent needing a school pickup covered. Someone with tools to lend finding someone who needs them. The simulation reflects these real patterns so evaluators can see the platform as it would actually be used.

Trust Graph

The trust network shows how trust has accumulated between simulated users through repeated positive interactions. Every completed match strengthens the trust edge between the helper and the person they helped. This is how real trust networks form — through doing things together over time.

Social Karma

After each completed match, both participants rate the interaction on helpfulness, responsiveness, and clarity. These ratings feed the Social Karma system, which surfaces patterns of good community participation without reducing people to a single number. The karma data you see reflects real platform feedback flows, not pre-loaded scores.