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geo-sleuth

An agent skill that finds where a photo was taken — OpenStreetMap geometry, elevation skylines, satellite imagery and street view — and shows its work. Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode and GitHub Copilot.

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GITHUB · launched Sep 18, 2026 · 270 upvotes (top 3%) · 12 views

Niche: environmental and geospatial analytics software · 124 launches, 14 in the last 7 days ▼ -7% · Explore this niche →

Category and tags

  • Horizontal
  • Agent / copilot
  • Developer
  • AI-native
  • Hobby / open-source project
  • agent-skills
  • ai-agents
  • claude-code
  • codex
  • computer-vision
  • cursor
  • +12 more

Visit website ↗ Source listing ↗

Could you build this?

Partial Building an LLM agent skill/tool wrapper is straightforward, but robust geolocation matching using OpenStreetMap geometry, elevation skyline profiles, and satellite imagery requires complex GIS and computer vision heuristics.

What it would actually take: A production implementation requires a Python/FastAPI backend integrating GIS libraries (GDAL, Shapely, PyProj), digital elevation models (SRTM/Copernicus DEM), and OpenStreetMap APIs (Overpass). The hard part is developing multi-modal image matching algorithms that extract skyline horizons or building footprints from a photo and correlate them with DEM projections and GIS vector layers. It demands domain expertise in spatial analysis, photogrammetry, and computer vision.

Competitors

Other products that read as similar to this one : 162 launches clear the similarity bar, closest 8 shown.

Attention rank: #6 of 163 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 291 days after the earliest competitor.

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