Open-Source Intelligence
OSINT & Intel Dashboards
Collection and analysis tooling that turns scattered public data into a single monitored picture.
PythonTypeScriptOllama / local LLMOSM dataScrapers
The problem
OSINT tooling is fragmented and most of it leaks your queries to a third party. I wanted collection and analysis that runs locally, with the reasoning layer on a local model instead of a hosted API.
How it's built
- Collectors for news, market, and geopolitical feeds normalized into a single event stream
- Geospatial layer mapping real-world infrastructure from OpenStreetMap data
- Recon automation for subdomain enumeration and asset discovery
- Local LLM (Ollama) analysis layer — zero API cost and nothing leaves the box
- Agent skills that chain collection, scoring, and dossier generation
Outcome
A private intelligence workflow where collection, enrichment, and reasoning all run on hardware I control.