Wikigraph
an interactive visualization of all of English Wikipedia
Details
- External ID
- 48370512
- Source
- HN
- Company
- —
- Product
- Wikigraph
- Website domain
- tobypenner.com
- Launched
- June 2, 2026
- Cohort
- —
- Upvotes
- 12
- Upvotes percentile
- 0.6509562841530054
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
Hi! This is a visualization I've always wanted but never quite found. It's a navigable map of the Wikipedia link graph structure, with search and shortest-path finding.Offline, I parsed the May 2026 English Wikipedia full-text dump into a directed graph, used cuGraph on a GPU to run PageRank, Leiden clustering, and ForceAtlas2 for the layout. I did some post processing to get rid of lingering overlapping nodes and rendered a tiled map of raster base images (using Skia) and JSON metadata. Tiles are bundled into PMTiles. The frontend is Deck.gl.Everything is hosted on Cloudflare. Search and shortest-path are served by a Rust backend in CF Containers which uses Tantivy and bidirectional BFS.Happy to answer any questions!
Enrichment
- Theme
- web development and browser utilities
- Vertical
- Media & entertainment
- Function
- Search & retrieval
- Audience
- B2C
- AI stance
- Not AI
- Project type
- Commercial product
- Normalized one-liner
- interactive visualization of wikipedia
- Manually corrected
- False
Could you build this?
Partial The web UI can be built easily, but processing English Wikipedia's dump into millions of graph nodes, running GPU Leiden clustering and PageRank, and creating a multi-scale spatial graph layout requires dedicated high-performance data pipelines.
What it would actually take: The backend data pipeline requires parsing massive Wikipedia XML/SQL dumps (tens of gigabytes), constructing a 6M+ node directed graph, and executing GPU-accelerated algorithms (via NVIDIA cuGraph or cuML) for PageRank, community detection (Leiden/Louvain), and force-directed or UMAP/t-SNE 2D spatial embedding. The frontend requires a high-performance WebGL graph renderer (such as Sigma.js or custom deck.gl/InstancedMesh) paired with spatial tiling (like vector tiles or quadtrees) to smoothly render millions of nodes. Specialized data engineering and GPU graph computation skills are necessary.
Discussion
2 comments analyzed.
Concerns raised: 2D visualization limits clustering fidelity compared to higher dimensions, Unclear whether 2D representation is necessary or just a choice
Feature requests: 3D or higher-dimensional visualization support
Competitors
Other products that read as similar to this one — 102 launches clear the similarity bar, closest 8 shown.
Attention rank: #42 of 103 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 213 days after the earliest competitor.
- WikiCrawl · ph · 2026-09-28 · 1 upvotes · similarity 0.60
- Intercontinental Ballistic Wikipedia Edit Map · hn · 2026-09-07 · 5 upvotes · similarity 0.49
- WikiFork · ph · 2026-09-25 · 1 upvotes · similarity 0.48
- Visualizing How Books Reference Each Other Across 3k Years · hn · 2026-02-11 · 5 upvotes · similarity 0.45
- The Endless Museum · ph · 2026-09-13 · 1 upvotes · similarity 0.45
- bikemap.nyc · hn · 2026-01-07 · 8 upvotes · similarity 0.44
- GraphGPU · hn · 2026-03-02 · 6 upvotes · similarity 0.43
- WikiNow · ph · 2026-09-10 · 1 upvotes · similarity 0.42
Other launches for this product
- No other launches for this product.