Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/how-float-runs-an-ai-energy-company-on-a-3-person-team-with-tiger-data.
How Float achieved 99.3% compression on 1Hz smart meter data with Tiger Data, enabling real-time AI energy analytics, lower cloud costs, and scalable IoT.
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Float built an AI platform that disaggregates 1Hz smart meter data into appliance-level energy insights. After evaluating major time-series databases, the startup chose Tiger Data, achieving 99.3% compression—well above the 90% needed to make its subscription model viable. Continuous aggregates power real-time billing, while the managed platform lets a three-person team scale efficiently.