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Wikigraph
An interactive map of all of English Wikipedia
An interactive map of all of English Wikipedia. You can pan and zoom freely, search for any topic, and find the shortest path between any two articles: how many clicks from Banana to Product Hunt?
This is a visualization I've always wanted but never quite found. It's a navigable map of Wikipedia, with search and shortest-path finding.
I extracted 221 million links from the 24.5 GB compressed May 2026 English Wikipedia dump. On this directed graph, I ran cuGraph's ForceAtlas2, PageRank, and Leiden clustering algorithms to find page nodes' position, size, and color.
I rendered 12 zoom levels of 1024 pixel square raster tiles using Skia and matching JSON metadata tiles with page names, statistics, links, etc. Tiles were packed into the awesome PMTiles format. The frontend is React + deck.gl. Search and shortest-path finding are driven from a Rust axum backend. Search uses Tantivy over articles' titles and their redirects + PageRank. Shortest-path finding is a bidirectional BFS.
Everything is hosted on Cloudflare. Tiles are stored on R2 with a worker in front for caching. Search and shortest-path finding are served through that same worker and backed by Cloudflare Containers.
Happy to answer any questions!
About Wikigraph on Product Hunt
“An interactive map of all of English Wikipedia”
Wikigraph was submitted on Product Hunt and earned 13 upvotes and 2 comments, placing #38 on the daily leaderboard. An interactive map of all of English Wikipedia. You can pan and zoom freely, search for any topic, and find the shortest path between any two articles: how many clicks from Banana to Product Hunt?
On the analytics side, Wikigraph competes within Education, Data and Data Visualization — topics that collectively have 84.6k followers on Product Hunt. The dashboard above tracks how Wikigraph performed against the three products that launched closest to it on the same day.
Who hunted Wikigraph?
Wikigraph was hunted by Toby Penner. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Wikigraph including community comment highlights and product details, visit the product overview.
Toby Penner