HackStack

Project Info

Weyes

Devpost

Inspiration

Congressional stock trading is a cornerstone issue in Congress today, with bills being setup as bipartisan issues. Traditional disclosure documents are dense, hard to navigate for casual readers, and incredibly hard to visualize holistically. We decided to create a visual analysis tools which took this dense, messy, and unfriendly data to transform it into a user-friendly graph displaying the flow of money in Congress. This makes it incredibly easy for researchers, journalists, and citizens to follow the money.

What it does

Our platform visualizes the intricate relationships between: Corporations and their stock holdings Politicians and their financial interests Corporations and their stock holdings Politicians and their financial interests Users can search for any entity (company, politician, organization) and instantly see: A force-directed network graph showing all connections Real-time node selection with detailed relationship breakdowns A force-directed network graph showing all connections Real-time node selection with detailed relationship breakdowns

How we built it

Frontend: React was used for an awesome UI/UX experience D3.js for graph visualization Backend Architecture: Python and FastAPI for the backend integration and data scraping PostgreSQL to host the database Railway for deployment

Challenges we ran into

Ideation and brainstorm took almost a full day as we were struggling to find a project that could have real-world impact or was truly engaging with us. Deployment took quite a while because of a lack of documentation as well as a lack of available build tools. Scraping the data was a bottleneck for us as we had multiple sources to comb through and were significantly limited because of the slow Wi-Fi.

Accomplishments we're proud of

Actually getting a final project out and on time considering our delays just in the very beginning An awesome UI given that only one of us had extensive frontend and React experience prior

What we learned

D3 + React patterns: Direct DOM manipulation with D3 while React manages the surrounding UI Graph algorithms: Efficient edge deduplication and bidirectional relationship detection Political transparency: Some entities have 50+ connections

What's next

Add tracking for PAC/Super PAC donations Add a live net worth estimator and visualizer Push notifications to users of notable Congresspeople trading

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • AnthropicIn code
  • CSSIn code
  • FastAPIIn code
  • HTMLIn code
  • JavaScriptIn code
  • PythonIn code
  • ReactIn code
  • SQLIn code
  • Tailwind CSSIn code
  • TypeScriptIn code
  • PostgreSQLClaimed

10 of 11 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

  • CursorConfig

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

362 KB

Source files

74

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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