| Layer | Technology | Reason | |-------|------------|--------| | | React + TypeScript + D3.js (for graph visualizations) | Highly interactive UI, reusable components. | | Back‑End API | Node.js (NestJS) + GraphQL | Flexible querying of nodes & relationships. | | Data Store | PostgreSQL (relational) + Neo4j (graph) | Relational for user data; graph DB for link relationships. | | Search | Elasticsearch | Fast full‑text search with faceted filtering. | | Content Extraction | Scrapy + OpenAI embeddings (for auto‑tagging) | Scalable crawling and semantic tagging. | | Caching | Redis (session & graph caching) | Low latency for hot graph queries. | | Deployment | Docker + Kubernetes on AWS (EKS) | Autoscaling, high availability. | | CI/CD | GitHub Actions | Automated testing & deployment. |
Transparency is emphasized: moderation actions are logged publicly (except for private user data) and can be appealed through a built‑in ticket system. pogolinks website
Pogolinks is a cutting-edge online platform designed to help users create, manage, and track links effortlessly. The website offers a suite of innovative features that enable users to shorten, brand, and analyze links, providing valuable insights into link performance. With Pogolinks, users can streamline their link management process, boost productivity, and make data-driven decisions. | | Search | Elasticsearch | Fast full‑text
Tags on Pogolinks are . A simple tag like #memes can belong to a broader category #humor , which in turn is nested under #culture . This taxonomy is community‑generated: members can propose new parent‑child relationships, which are then voted on by moderators. The result is a living taxonomy that evolves with emerging trends. | | Deployment | Docker + Kubernetes on