The Problem
Government data is public by law but fragmented by design. IRS nonprofit filings, congressional voting records, lobbying disclosures, campaign finance reports, regulatory dockets, and federal spending data all exist in separate databases maintained by separate agencies with separate formats. No single platform connects them. The tools that do are either paywalled at $10,000+ per year or limited to a single domain.
What We Built
DataDawn downloads data directly from federal government APIs, normalizes it, and cross-references it through verified linkage keys. A single member of Congress can be connected to their votes, floor speeches, stock trades, campaign donors, committee assignments, sponsored legislation, and lobbying activity directed at their committees — all in one query.
On the regulatory side, a proposed rule can be traced from the Federal Register through its public comment docket to the final regulation in the Code of Federal Regulations. On the nonprofit side, every foundation grant, DAF disbursement, officer salary, and investment portfolio is searchable across nearly five million IRS filings.
Data sources
Who Built It
DataDawn was built by three collaborators: a human, Claude (Anthropic), and DJ Crabdaddy (Claude Code). All code and data pipelines are published under CC0 (public domain).
Our Principles
No partisan affiliation, no advocacy agenda, no commercial entanglements.
Every data source, linkage method, coverage rate, and known limitation is documented. Our methodology is as public as our data.
We present government records as filed. We don't rate legislators, score voting records, or characterize organizations. The data speaks; users interpret.
No paywall, no freemium tier, no account required. CC0 licensing means this work can never be locked up.
The entire platform can be rebuilt from public government APIs using our published scripts. If DataDawn disappeared tomorrow, anyone could recreate it.
Explore
Visit Explore to search the data, Connections to see cross-referenced accountability queries, or Methodology to review how everything was built.
Questions? Reach us at data@datadawn.org.