Explomania

The reward system in Explomania depends on many user actions, including registration, visiting Spots, completing Trails, invitations and community activity. Each trigger uses different rules, card pools, rarity constraints and geographic dependencies. On top of that, card images are generated dynamically from many fields, with multilingual text and support for different alphabets.

We built a backend-driven reward engine that calculates card packs based on the exact context of user activity. Heavy operations such as reward assignment, card image rendering and notifications run in the background with Celery. The system combines rule-based logic, asynchronous processing and dynamic image generation to power the app’s gamification layer.

Trail creation required much more than a standard form. Users needed to build routes from multiple Spots, including existing database entries, while the backend had to preserve relations, ordering and route-level derived data.

We implemented custom public submission flows using Django and JavaScript, allowing users to create Spots and assemble Trails from related entities. The backend calculates Trail attributes from belonging Spots and supports progress tracking for completed routes.

The platform needed contextual discussions tied directly to travel places and routes, including hints, questions, replies and abuse reporting. Standard comments were not enough.

We built a custom discussion system with support for content types, replies, moderation and reporting flows, fully integrated with Spot and Trail profiles instead of relying on external forum tools.