Sightline is a Next.js web application for discovering and analyzing real-world infrastructure using OpenStreetMap data. It provides a search interface that accepts natural language queries (e.g., 'telecom towers in karnataka') or structured syntax (e.g., 'type:telecom operator:airtel region:karnataka'). The application uses Nominatim for geocoding to convert location queries to bounding boxes, then queries the Overpass API for matching OSM assets. Results are displayed on an interactive Leaflet map with marker clustering and in a filterable list. The architecture features a clean separation between frontend React components, backend API routes for search and geocoding proxying, and utility libraries for query parsing, caching, and API interactions. The application implements proper rate limiting, timeout handling, fallback API endpoints, and efficient caching to respect external service limits while providing a responsive user experience.

deanonymizer is a command-line tool designed for privacy self-audits. It collects public data from platforms like Reddit, Hacker News, GitHub, and Stack Overflow for specified usernames, then analyzes this data to identify personally identifiable information (PII) and other linkable information. The analysis combines a configurable LLM backend (Anthropic, OpenAI, or Claude Code) for inferring soft signals (location, employer, etc.) with a deterministic regex pass for hard identifiers (emails, social handles). The tool outputs a detailed report highlighting findings with confidence levels and remediation suggestions, enabling users to reduce their online footprint. The architecture is modular, separating concerns into CLI handling, platform-specific data fetching, analysis orchestration, LLM abstraction, and report generation.