I am writing to share our latest project, MagPI, which aims to provide an open-source alternative for the geography community. The engine is fully functional, and the GUI acts as a wrapper; you can view the repository here: https://github.com/nexavision-tech/MagPI.
The goal of this initiative is to challenge the current monopoly in the GIS software space. By introducing "import magpi as arcpy," we are providing a path for GIS analysts to bypass expensive proprietary software packages. Currently, the high cost of licensing—often between $10k and $20k annually—is frequently deducted from analyst salaries. Moving toward MagPI allows for a significant increase in professional compensation by eliminating these overhead costs. MagPI currently needs developer support to reach its full potential. We are looking for those who recognize that open-source tools are essential for the future of the discipline and for ensuring that scientific tools remain accessible rather than controlled by private interests. For more information on the project and the underlying research, please visit my site: https://www.nexavision.tech. Best regards, Chris Project Architect | NexaVision On Thu, Apr 23, 2026 at 1:31 PM Christopher Hanni < [email protected]> wrote: > *To the OSGeo / Geo-Dev Community:* > > My name is Chris. I am a project architect operating out of NexaVision > (nexavision.tech), and I am currently seeking developers and geospatial > engineers interested in collaborating on a lightweight, high-impact OSINT > mapping project. > > *The Objective: "The Richest Maps"* We are conceptualizing an > open-source, web-hosted mapping space designed to visualize massive wealth > disparity on a localized level. The goal is to ingest open-source county > parcel data, cross-reference it with trusted public databases (e.g., Forbes > lists, SEC filings, public property records), and map the residential > footprints, assets, and holding companies of the 0.1% (billionaire class) > on a county-by-county basis. > > We are not building a bloated Google Maps competitor. We need a fast, > surgical, vector-based tile environment. > > *The Technical Requirements:* > > - > > *Architecture:* A lightweight vector tile server (e.g., GeoServer, > PostGIS, Mapbox GL JS / MapLibre) capable of handling spatial queries on > the fly. > - > > *Data Ingestion:* Automated or semi-automated pipelines to harvest and > normalize disparate U.S. county parcel data into a unified schema (WGS84 / > EGM 2020 projection preferred). > - > > *Visualization:* Clean heatmaps and 3D building footprints (where > LiDAR/vector data is available) representing the highest-valued residential > parcels in any given query zone. > - > > *User Interaction:* A user-queryable interface ("Who is the richest > resident in my county?") with trusted-source update capabilities (similar > to Waze's community-driven layering). > - > > *Layering:* Specific attention to proximity queries—mapping the > nearest public spaces and navigable waterways to these heavily fortified > assets. > > *The Ethos:* Transparency is a two-way street. If the billionaire class > continues to leverage data brokers against the public, the public has a > right to utilize open civic data to map the true distribution of assets in > their own backyards. > > If you are skilled in Python, R, DB management, or WebGIS, and you believe > that open data is a tool for civic accountability, I would like to connect. > This is a FOSS (Free and Open-Source Software) initiative aimed at building > a better, more transparent world architecture. > > Please reply to this thread or reach out directly via > https://www.nexavision.tech/skills.html if you are interested in > structuring the seed points for this repository. > > Best regards, > > *Chris* Project Architect | The NexaVision https://www.nexavision.tech > > > >
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