Sagas. Time-lapse Social Network

Sagas aimed to create a new kind of social network that focuses on geography and time. While traditional social media platforms prioritize feeds and followers, they often overlook how places change over time. The goal of Sagas is to allow users to attach stories to specific locations through timelapses, making these stories easily discoverable on a global map.

Enable users to effectively create and publish geo-located timelapses using their photos and videos. Develop a dynamic map-based discovery feature that allows users to explore compelling stories by location and time. Streamline the ingestion and processing of large-scale media in near real-time. Establish a strong foundation for AI-driven insights that encompasses change detection and trend analysis.

Sagas needed a technology partner with experience in high-load systems, real-time data pipelines, and cloud infrastructure. Pharos Production provided extensive expertise in scalable backend architectures, streaming platforms, and data-intensive applications. This collaboration enabled Sagas to transition from concept to a production-ready platform capable of supporting global usage.

The backend is developed in Java with Spring Boot, supporting APIs, user logic, and media workflows. Apache Kafka is utilized for event streaming, while Apache Flink processes real-time events, including uploads, location updates, and time-lapse generation jobs. This architecture ensures that the platform remains responsive, even during periods of heavy media load.

Sagas features a modern web interface designed with React and Next.js, emphasizing map-centric navigation and immersive media viewing. Users engage with locations through an intuitive map UI, timelines, and location-based feeds optimized for both desktop and mobile browsers.

Apache Cassandra is used to store user profiles, location metadata, and social graph data at scale. Object storage is utilized for photos, videos, and generated timelapses. Apache Pinot provides fast analytics for tracking location popularity and activity trends, and supports discovery APIs. The entire platform operates on Kubernetes with Istio for traffic management and is deployed on AWS, ensuring elasticity and global reach.

Users can upload photos or videos linked to specific coordinates, creating timelapses that illustrate how a location evolves over days, months, or years. Each timelapse creates a lasting narrative tied to a real-world location.

Content is presented through an interactive map rather than a traditional feed. Users can explore cities, landmarks, and regions to view active timelapses and community-created historical stories.

The platform handles media uploads asynchronously and at scale, ensuring smooth performance and quick timelapse generation. Public APIs facilitate future integrations with urban analytics tools, tourism platforms, and research applications.

Sagas offers a new way to document and explore the world by integrating social media with geospatial and temporal aspects. Places become dynamic archives rather than static pins on a map.

The platform is designed to scale globally and support future AI features, including automated change detection, environmental monitoring, and city evolution analysis.

With its event-driven architecture and cloud-native deployment, Sagas efficiently manages large volumes of media and user activity without experiencing performance degradation, establishing a strong foundation for long-term growth.