Exporting large ERDs hangs — incremental/chunked rendering fix

Many teams building or documenting complex schemas run into a specific, repeatable failure: exporting large ERDs causes browsers or desktop apps to hang, crash, or time out. This affects database architects, platform engineers and product teams inside the 24 million development teams globally who increasingly work with distributed cloud-first schemas; deployments with hundreds to thousands of entities are common and current export pipelines often fail when graphs exceed a few hundred nodes. The product would be a focused incremental/chunked rendering engine and export pipeline you can embed in web apps or run as a headless service. It would use browser-native compute (WebAssembly and OffscreenCanvas) to do tile-based or streaming SVG/PNG/PDF generation, with graceful degradation and backpressure so a 1,000-node export completes in under ~5 seconds in typical browsers while keeping UI threads responsive, and scale to 10k+ nodes via server-side rendering. Offerings would include a small open-source core for integration, paid plugins for enterprise formats, an API for embedders, and SDKs for popular ERD tools and databases. The market makes sense now: visualization and collaboration tools represent an addressable market of roughly $7.2B (24M teams × $300/year average spend), and trends—WebAssembly/offscreen rendering, more complex cloud schemas, and collaboration-first tooling—create clear demand for reliable, shareable exports. Competition is medium: many diagram tools focus on editing UX but few have a dedicated, scalable export layer, which is both a strength and a risk. Key challenges are cross-browser WASM behavior, supporting many output formats, and the integration effort required in customers’ toolchains, but the market score (88/100) and revenue potential (84/100) suggest this is a viable niche if you can prove reproducible performance gains and smooth embedding.