Climate Query

Community Action
Dashboards
Data sources
Homepage Photo

Inspiration

Climate data from NASA and NOAA could help us understand our changing planet, but it's locked behind technical barriers. Journalists can't fact-check claims. Educators struggle to teach with real data. Activists make charts by hand. We built ClimateQuery because climate science shouldn't require a PhD to access, understanding our future should feel simple and empowering.

What it does

ClimateQuery turns climate research into interactive dashboards anyone can create in minutes, no coding required. Select datasets (temperature, emissions, sea level, renewables), apply filters, and generate professional visualizations. Combine charts into shareable dashboards. Our Community Hub connects insights to action: organize climate events, join local groups, track personal impact. We transform passive observers into informed activists.

How we built it

Built entirely with AI-assisted development using Lovable. React + TypeScript frontend, Recharts and nivo for charts, custom CSS globe, scientifically plausible mock datasets. Focused on accessibility, performance, and intuitive UX. Iterated rapidly through natural language prompts while maintaining clear product vision.

Challenges we ran into

Creating realistic climate data required research into actual NASA/NOAA patterns. Resisted feature creep (Jupyter notebooks, real-time feeds) to focus on core experience. Made complex dashboards mobile-responsive. Ruthlessly prioritized to ship production-quality in two days.

Accomplishments that we're proud of

Built a platform that feels like a real SaaS product, not a hackathon demo. Journalists with zero coding skills create publication-ready dashboards in under five minutes. 12+ chart types rival professional BI tools. Proved AI can accelerate development 10x with clear product thinking. Every feature serves one mission: turn climate data into climate action.

What we learned

AI amplifies but doesn't replace product judgment, knowing which features to build mattered more than generating code. Visual references (screenshots) dramatically improved AI output. Sometimes the simplest solution wins, CSS outperformed Three.js. There's a real gap: tools are either too technical or too generic. Climate needs focused, accessible platforms.

What's next for ClimateQuery

Integrate live data from NASA, NOAA, World Bank, IPCC. Expand datasets: extreme weather, biodiversity, ocean health, deforestation. Add collaboration tools, educational features, Python/JS SDKs, mobile apps. Our vision: become the definitive platform where anyone, journalists, educators, activists, citizens, can access and communicate climate data. We're building infrastructure for climate literacy, turning understanding into action.