Modern GIS teams face the challenge of efficiently interpreting vast amounts of spatial data, often requiring indexing and visualization. H3, a hierarchical geospatial indexing system, addresses this by dividing the Earth's surface into hexagonal cells, facilitating efficient data storage, retrieval, and visualization at different scales. Felt simplifies the deployment of H3 visualizations by offering features such as on-the-fly H3 binning, auto resolution scaling, and instant summary statistics without the need for coding. This integration allows teams to seamlessly connect data from sources like Postgres, Databricks, BigQuery, or Snowflake, enabling quick analysis and application development. Felt's platform supports dynamic GIS projects, from business expansion planning to weather pattern analysis, by overlaying H3 hexagons on existing data and providing tools for feedback and collaboration.