Short-form video platform with AI-driven content and creator tools
Bullet builds a short-form video OTT platform targeting mobile-first audiences in India. The stack reveals a mobile-native strategy (Kotlin/Android, Swift/iOS, ExoPlayer for playback) paired with cloud infrastructure (AWS, Firebase) and emerging AI capabilities (TensorFlow, PyTorch, now adopting LangChain). Active projects span AI-driven recommendations, creator monetization, and real-time content delivery—suggesting the core challenge is scaling both the user-acquisition and platform-performance layers simultaneously.
Notable leadership hires: Head of Marketing
Bullet is a short-form video platform built for episodic, culturally localized content. The product serves both viewers (mobile apps for Android and iOS) and creators (with monetization and discovery tools). Infrastructure leans on AWS, Firebase, and PostgreSQL for backend services, with GraphQL APIs and serverless workflows handling content delivery. The engineering-heavy hiring profile (4 engineering roles open) reflects active work on video playback, real-time sync, and backend scalability—operational priorities for a young platform scaling toward millions of concurrent users.
Kotlin and Swift for mobile apps, ExoPlayer for video playback, AWS and Firebase for backend infrastructure, PostgreSQL for data, GraphQL for APIs, and Python/TensorFlow/PyTorch for AI features.
Launch playbooks for short-form content, video playback and monetization modules, real-time content delivery, AI-driven recommendations and creator tools, and scalable backend systems to handle millions of concurrent users.
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