ClimateClaimCheck
An AI app that turns politician statements on climate and clean energy into a side-by-side breakdown of what they said, what the data shows, and what their state has actually delivered, sourced from public records.
US voters who want to evaluate political claims before voting
- Paste a quote or link a news clip and get a plain-English verdict with confidence score
- State-by-state tracker of promised vs delivered climate and energy milestones
- Glossary mode that explains terms like 'grid modernization' or 'cap-and-trade' without spin
- Personal watchlist for specific politicians with weekly digest of new statements
Hochul defending her climate credentials reflects a growing pattern of state leaders making contested claims about energy policy, and voters lack a neutral tool to weigh them in real time.
Climate fact-checking is an active, recurring need (PolitiFact runs a dedicated climate-change section, Snopes and FactCheck.org both cover it) but the average voter rarely pays for it; Hochul's 200+ trend search is a thin signal scoped to one politician, not a durable mass demand.PolitiFact - Climate Change ↗FactCheck.org - A Project of The Annenberg Public Policy Center ↗
Existing players (PolitiFact, Snopes, FactCheck.org, Full Fact) are general-purpose and don't combine politician claims with state-level delivery record sourced from public data; aifactcheck.app is generic and doesn't focus on climate or state performance tracking.FactOrFake - AI Fact Checker ↗AI Fact Checker - Verify Claims & Detect AI Content ↗
Fact-checkers typically rely on ads, donations, grants, university backing, or B2B sales to newsrooms/NGOs; direct consumer willingness-to-pay for a climate claim-checker is weak and the B2B buyer base is small, capping revenue potential.Who Funds Fact-Checker Websites and How Do They Make Money ↗
Climate and energy policy will stay politically contested through multiple election cycles, but tying the product to one governor's controversy (Hochul) is short-lived; the broader category is durable but trend-driven spikes are not.
Achievable technically (LLMs + public datasets), but the hard parts are credibility/ neutrality, accuracy of automated fact-checks (still error-prone), scraping and normalizing heterogeneous state energy data, and legal risk of being sued by politicians — these meaningfully raise cost and risk.