endpnt
endpnt is a developer-first portfolio and link-in-bio platform that centralizes a developer's digital identity into a single customizable profile. It integrates with GitHub, LeetCode, Dev.to, Medium, and Hashnode to automatically surface technical contributions and content.

Developers often maintain their online presence across multiple disconnected platforms such as GitHub, LeetCode, Dev.to, Medium, Hashnode, and personal project websites. Existing link-in-bio solutions primarily target creators and marketers, offering limited support for developer-specific needs. As a result, developers struggle to showcase their technical achievements, projects, and content in a unified, professional, and visually appealing manner while also lacking meaningful analytics about visitor engagement.
endpnt was built as a developer-first portfolio and link-in-bio platform that centralizes a developer's digital identity into a single customizable profile. The platform integrates with popular developer ecosystems including GitHub, LeetCode, Dev.to, Medium, and Hashnode to automatically showcase technical contributions and content. Users can highlight projects with associated technologies, repository links, and live demos while customizing their profiles using modern layouts and themes. A serverless architecture powered by Next.js, PostgreSQL, Drizzle ORM, Better Auth, and Upstash Redis ensures scalability, security, and performance. Additionally, privacy-friendly analytics provide real-time insights into profile views, link clicks, and traffic sources through an event-driven tracking system with intelligent deduplication mechanisms.
The resulting platform transforms fragmented developer profiles into a centralized and professional digital hub. Developers can present their technical expertise, content, and projects through a polished interface without writing custom CSS or maintaining multiple portfolio pages. Performance optimizations such as parallel data fetching, database indexing, and Redis-backed deduplication enable fast profile loading and accurate analytics at scale.
“Designed around reusable profile schemas instead of hardcoded sections.”
2024
Full Stack Product