Transform podcast metadata into interactive network visualizations
Explore 203 episodes of Catalog & Cocktails as a living knowledge graph. See who's talking, which organizations dominate, and how the conversation evolved over five years.
This is 203 episodes of the Catalog & Cocktails podcast. Every red dot is an episode. Every cyan dot is a guest. Every yellow dot is an organization. All connected.
Because metadata tells a story that spreadsheets hide
Filter by year, connection count, or node type. Search for specific people or organizations. All filters work together seamlessly.
Select any guest or organization to instantly see their network. Highlight connections, dim the rest. Navigate naturally.
Find everyone from "Netflix" or track down that guest whose name you half-remember. Real-time search across the entire network.
See exactly how many episodes, guests, and organizations are visible as you filter. Track the network's shape as you explore.
D3.js force-directed layout creates natural clustering. Organizations become gravity wells. Guests orbit around them. It just works.
Upload any network JSON. Works with your podcast, your conference, your community. The tool adapts to your data.
Patterns that emerge when you see the whole network
32% of guests come back for multiple episodes. They're not just sources—they're part of the ongoing conversation. Filter to guests with 2+ appearances to see the core community.
Some companies shape the discourse. data.world, Databricks, Netflix—they're not just represented, they're central nodes. See which organizations have the most affiliated guests.
Filter to 2024 only: 56 episodes. The conversation accelerated. You can see it in the density. Compare year-over-year to track evolution.
Click on a guest to see their organizational affiliations and all their episodes. Discover connections you didn't know existed.
One-time guests vs. repeat guests. Organizations with single representatives vs. those with many. See where you might be missing perspectives.
From spreadsheet to network in three steps
Episode metadata in a spreadsheet: title, date, guest name, organization. We provide a template and sample data.
Use our Python script to transform your spreadsheet into a network graph. Automatically extracts guests, organizations, and relationships.
Load your JSON into GraphGarnish. Filter, search, click to focus. See patterns you never knew existed.
Modern web tech, deliberately simple
Explore the demo or create your own network visualization