01 / Weather intelligence platform
Weather Fusion
A forecast is a claim, not a fact.
The problem
Every weather app is one provider's opinion presented as certainty. Ask three providers about tomorrow and you often get three answers, with no way to tell how much they actually disagree.
What it does
Fetches forecasts from several providers concurrently, then runs a consensus and confidence engine. Agreement raises confidence; divergence gets surfaced instead of hidden. An LLM layer turns the result into plain language.
Why I built it
I wanted the interesting work to be concurrency and data modelling rather than screens. Fan out to slow third-party APIs, keep the request path fast, and stay honest about uncertainty in the output.