Problem
Public-interest data often technically exists, but is hard to browse, verify, export, or use in software. A useful civic-data product needs more than a table: it needs provenance, methodology, API access, and a product surface that makes the data understandable.
What I Built
Datomania is documented as a public-data project around information that should exist in Spain. The rewritten README frames it around the Representantes dataset, 1,257 parliamentarians, provenance modeling, public API/export routes, architecture, methodology, status, and portfolio context.
- Data productPublic-interest dataset, browsing surface, methodology, and usability framing.
- ProvenanceSource-aware modeling so records can be inspected rather than blindly trusted.
- Developer surfaceAPI/export routes make the data useful beyond the UI.
System Architecture



https://datomania.info. It proves the public product is reachable, open-source positioned, and linked to inspectable code and data surfaces.Technical Decisions
- Frame the project around public usefulness instead of only data collection.
- Make provenance and methodology part of the product surface.
- Expose API/export routes so the dataset can support downstream workflows.
- Keep the README explicit about architecture and verification, not just a product description.
What This Proves
Datomania shows product judgment in a less glamorous but highly practical domain: turning messy public information into a browsable, inspectable, reusable data product with clear provenance and engineering discipline.
Public Evidence
- Public repo:
gorkamolero/datomania. - Live public site:
https://datomania.info. - README rewritten and pushed.
pnpm lint,pnpm test:run, andpnpm buildpassed.- Product, table, API-doc, and live public-site screenshots captured.
- Stats/export proof — available on request.
Review Boundary
Confirm source terms, methodology notes, and exported fields before using live-site screenshots in public application materials.
