Data teams waste time manually testing Dot vs Neato vs other Graphviz layouts to find the clearest visualization. Each engine has subtle strengths for different graph types.
Create a CLI tool that analyzes graph structure (node count, edge density, hierarchies) and recommends engines with example outputs. Advanced version could auto-tweak parameters.
Sell to engineering teams building documentation systems or knowledge graphs. Open core with paid features for enterprise-scale optimization.
MVP could be a decision tree based on the published guide's findings.
Risk: Graphviz itself might incorporate similar smarts in future releases.