July 15, 2026
Saving nature, starting comment fires
The Conservationist Who Turned 40 Terabytes of Public Data into a Video Game
He turned mountains of public maps into a game—and the comments instantly got messy
TLDR: A conservationist used AI tools and public map data to quickly build apps that could help track fires, forests, and protected land. Commenters loved the potential but also pounced on missing links, questionable hype, and one very sarcastic joke about public data being “communism.”
A conservation worker in Central Africa used an AI coding helper to turn 40 terabytes of public information—things like fire alerts, tree loss, and land-use maps—into tools he says could help protect huge wildlife areas and even inspire a game. On paper, it sounds like a wholesome tech miracle: one person, no giant budget, and suddenly years of “someone should build this” become a working app in hours. But the real show started in the comments, where readers split into cheerleaders, nitpickers, and chaos gremlins almost immediately.
Some were genuinely impressed, calling it a preview of how governments and nonprofits could finally make use of the giant piles of public data they already have. That crowd’s big takeaway: if this stuff is public, why aren’t more useful tools being built already? Others were less dazzled and more suspicious of the article’s framing. One commenter flatly scoffed at the idea that 15 gigabytes is “huge” in 2026, basically saying, “Please, that’s smaller than a lot of game downloads.” Another mini-drama broke out over the promised open-source apps, with one reader hunting for the supposed game and coming up empty on GitHub, which gave the whole thing a tiny whiff of ‘show us the receipts’.
And then came the sarcasm crown jewel: a commenter joking that Austria publishing nationwide laser-scan data for the public “smells like communism,” mocking the idea that ordinary people should get easy access to useful government resources. In other words: inspiring conservation story up top, delicious internet snark underneath.
Key Points
- •Raffael Hickisch used public geospatial datasets to support conservation monitoring across protected areas, including fire, settlement, and deforestation data.
- •He said manual data assembly in desktop software had made simulation and analysis difficult, limiting practical monitoring across large protected regions.
- •After discovering exe.dev in January, Hickisch used its AI agent Shelley to prototype Five Megapixel Conservation, a global conservation-effort mapping app.
- •The app uses GPX movement tracks from rangers, vehicles, and aircraft, aggregated over time into 100-square-kilometer pixels on a zoomable world map.
- •In a separate project, Hickisch used vsicurl and 100 parallel virtual machines to process Austria’s annual LIDAR and aerial imagery data by reading file slices instead of full downloads.