Pardonned.com – A searchable database of US Pardons

https://pardonned.comInspired by the videos of Liz Oyer, I wanted to be able to verify her claims and just look up all the pardons more easily.Tech Stack: Playwright - to sccrape the DOJ website SQLite - local database Astro 6 - Build out a static website from the sqlite dbAll code is open source and available on Github.

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FL score

67

out of 100

Verdict

BUILD

high confidence

Competition

5

competitors found, emerging market, funded players

Trend

No signal yet

A searchable database of US pardons that fills a significant data gap for journalists, legal professionals, and researchers.

The pain

Users face significant frustration accessing comprehensive, historical US pardon data due to fragmented government websites, limited search functionality, and the complete absence of a centralized database for all federal and state pardons.

The gap

While government sites offer free, limited search for *some* current pardons, and legal firms offer *services* for pardon applications, there is no comprehensive, easily searchable, and centralized data product for all federal and state pardons, particularly historical data.

Build angle

Build a comprehensive, easily searchable database of US pardons (starting with federal, then key states) for journalists, legal researchers, and the general public, accessible via a subscription-based static website.

Strengths

  • Addresses a clear and deeply felt pain point (lack of centralized, comprehensive data).
  • Significant whitespace in the market for a data product, not just legal services.
  • Clear target audience (journalists, legal professionals) with an identifiable willingness to pay.
  • Manageable technical scope for an MVP by a solo builder.
  • Skills and data infrastructure built are highly leverageable for future projects.
  • Strong demand for transparency and data access aligns with market trends.

Risks

  • Ongoing data acquisition and maintenance, especially across 50 states + federal, can be a significant and continuous effort.
  • Legal complexities or restrictions around scraping certain types of government data.
  • Monetization signals, while strong for the legal tech market, need direct validation for this specific data product.
  • Scaling distribution to reach all potential niche users.

Next steps

  1. Prioritize scraping and launching a robust federal pardon database MVP.
  2. Conduct targeted outreach to journalists and legal researchers to validate pricing and specific feature priorities beyond basic search.
  3. Explore automated scraping pipelines and potential API access from government sources (if available) to mitigate ongoing manual effort.
  4. Investigate legal counsel regarding data scraping and usage rights for public records to ensure compliance.

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