Opportunity BasketLocalBallot: Hyperlocal Primary Candidate Database & News Aggregator
A human-curated, county-by-county candidate information service that employs part-time local researchers to compile standardized candidate profiles (biography, positions on 5-10 key issues, endorsements, funding sources) from official filings, candidate websites, and local news, then publishes searchable profiles + aggregated news feeds 48 hours before each primary. Voters search by county/race and get one canonical source instead of 20 scattered articles.
28 weeks • 70% confidence
Value Proposition
Eliminates information fragmentation by creating a single, verified source that local news outlets can embed or link to (driving traffic back to them), while giving voters faster answers than Google. Beats existing solutions because it's human-verified (not algorithmic), standardized across races (comparable candidate profiles), and updated in real-time as candidates file documents or make statements.
Target Audience
County election offices, local news organizations, civic engagement nonprofits, and voter education groups in competitive primary states (PA, MI, GA, AZ, NV)
Key Features
- Standardized candidate profile template (biography, top 5 issue positions, funding sources, endorsements, social media links)
- County-level filtering with race-specific pages (e.g., 'PA-18th Congressional District Primary')
- Embedded news feed aggregating only relevant local outlets for that race
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
Voters struggle to find accurate, real-time information about local primary election candidates and resultsVoters searching for information about primary election candidates face fragmented, duplicated news coverage across multiple regional outlets with no centralized source. The massive spike in searches for a single primary race indicates people are desperately trying to understand who candidates are, their positions, and election outcomes, but current news distribution makes it difficult to find comprehensive candidate information quickly. Existing solutions fail because information is scattered across local radio stations and news sites rather than aggregated in one searchable location.
Score: 53.3%