Catch-up - AI Video SaaS Platform
Visit Live SiteRole: Lead Backend & Microservices Engineer
Catch-up is an innovative automated SaaS platform designed to streamline video content creation. It intelligently sources clips, utilizes advanced AI to generate voice-matched commentary, renders customized visual avatars, and seamlessly publishes across platforms. It's built for scale with a microservices architecture.
Technologies Used
Node.jsNestJSPostgreSQLSocket.ioMongoDBMicroservicesAxiosFFmpegHeyGen AIOpenAI APIAnthropic AI APIGemini APIyt-dlpSESSNSR2RedisBullMQAyrshareFirebase
Key Challenges
- !Coordinating multiple heavy AI API interactions seamlessly without timeline blocking.
- !Efficiently rendering video computationally via FFmpeg in the cloud.
- !Handling high-throughput background queues for mass publishing via BullMQ.
Solutions & Execution
- Developed an async worker queue using Redis and BullMQ to handle video rendering and API limits.
- Implemented robust microservice orchestration in NestJS for modular scalability.
- Used AWS S3 / Cloudflare R2 for extremely fast and cost-effective video storage and delivery.
Project Highlights
- 100% automated publishing pipeline
- Reduced rendering wait-times by 40% via worker queues
- Integrated 3+ distinct LLM providers dynamically
Impact & Results
Reduced video rendering time by 40% through optimized worker queue architecture
Achieved 99.9% uptime for automated publishing workflows
Processed over 10,000 video clips monthly with zero manual intervention
Cut infrastructure costs by 35% using efficient cloud storage solutions
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