A people-first overview of the graph. Media nodes are tucked away until you search or choose Video or Photo.
The graph is a map of how developers, talks, events, companies, projects, topics, videos, and photos relate. Start with one node and expand outward.
Open the live graph ↗From question to connection
The controls, decoded
Search matches node names and descriptions. It also includes media in the results, so a speaker, event, or title can lead directly to a video or photo record.
A people-first overview of the graph. Media nodes are tucked away until you search or choose Video or Photo.
Speakers, organizers, interviewers, developer advocates, and other community members.
Conferences, meetups, and gatherings. Open one to find its talks, speakers, and media.
Conference sessions, panels, demos, and interviews.
Recordings connected to talks, speakers, events, companies, and projects.
Photo galleries and albums from conferences and meetups.
Organizations that employ, sponsor, host, or appear in the community.
Open-source projects, products, and community initiatives.
Technologies and ideas shared across talks, people, projects, and events.
Open the pill, choose a source type and destination type from the two colored columns, then click a source node. The graph isolates the shortest paths between those kinds. “Show full neighborhood” returns to normal exploration.
How far to travel
Only the selected node’s immediate connections: a speaker’s talks, a talk’s event, or a project’s contributors.
Add connections of connections: a speaker’s talks, then the events, companies, projects, and media around them.
Reveal the broader community around the selection. Best for discovery; expect a denser map.
Tip: Depth changes which nodes are emphasized, not the underlying data. Faded nodes remain in context while the chosen neighborhood stays bright.
Not every edge is equal
Every edge takes the colors of the nodes it connects. Person-to-person links glow green, and selecting any node lights up all of its visible connections. Thickness still reflects repeated evidence: multiple interviews, shared talks, working together, or contributing to the same projects.
The scoring model will evolve as the graph gains richer relationship data.Questions worth following