2025​

• January 9 - Streamlining the design of parcel delivery routes with H3
• January 16 - Characterize cities with embeddings of Overture Place categories
• January 20 - Calculating Fire Ratings with Overture Buildings and Places
• January 21 - Hot-spot analysis for invasive species using Overture Maps
• January 22 - How Fused Powers BlackPrint's Acquisition Intelligence Platform
• January 23 - How Pilot Fiber creates internal tools to support telecom operations
• February 11 - We're partnering with Overture to make their Data easily accessible with Fused
• February 18 - Enhance your data with GERS IDs
• February 25 - Announcing Fused 2.0
• April 1 - Announcing Fused AI Builder
• April 8 - Fused featured in Maxar TED Talk
• May 6 - Repartitioning Crop Data Layer & US Census into H3 hexagons
• May 16 - How Sylvera uses Fused to prototype and power DeckGL applications
• May 20 - Launching Fused Apps
• May 20 - Inside Fused Apps: Python in The Browser
• May 27 - Scaling Environmental Insights with Fused and H3
• June 19 - Notes from EO Summit 2025
• July 8 - Fused is SOC2 Type 1 Compliant!
• August 1 - Analytics is Changing (Again)

2024​

• March 1 - Founder's blog post: why Fused?
• March 6 - Fused redefines geospatial with instant maps
• April 9 - DuckDB + Fused: Fly beyond the serverless horizon
• April 22 - Geospatial workflows of any size
• August 27 - How Pachama creates maps on-the-fly with Fused
• August 29 - ML-less global vegetation segmentation at scale
• September 3 - Summarizing building energy ratings
• September 5 - AI for object detection on 50cm imagery
• September 12 - Six ways to use Fused
• September 17 - The App That Finds Your City's Rainfall Twin Globally
• September 19 - Enrich your dataset with GERS and create a Tile server
• September 23 - The Strength in Weak Data Part 1: Navigating the NetCDF
• September 24 - Creating cloud-free composite HLS imagery with Fused
• September 25 - Analyzing traffic speeds from 100 billion drive records
• October 17 - Blazing Fast Geospatial SQL in DuckDB
• October 22 - The Strength in Weak Data Part 2: Zonal Statistics
• October 24 - DuckDB, Fused, and your data warehouse
• October 29 - Earth-scale AI pipelines for Earth Observation (Part 1: Data Curation)
• October 30 - Discovering NYC Chronotypes with Fused
• November 4 - How I Got Started Making Maps with Python and SQL
• November 21 - The Fastest Way to Download Foursquare's new POI Dataset
• November 26 - How DigitalTwinSim Models Wireless Networks with DuckDB, Ibis, and Fused
• December 3 - Beyond RGB: Interactive Exploration of NEON's Hyperspectral Data
• December 5 - Creating an app to model road mobility networks in Lima, Peru
• December 6 - From query to map: Exploring GeoParquet Overture Maps with Ibis, DuckDB, and Fused
• December 10 - Map Overture Buildings and Foursquare Places with Leafmap
• December 11 - Streamlining Infrastructure Risk Analysis with Fused
• December 12 - The Strength in Weak Data Part 3: Prepping the Model Dataset