I have been working on a project that streams and catalogs a large library of videos for niche audiences, and I am curious how other developers approach discovery and tagging at scale. We are currently using a mix of automated metadata extraction plus manual review, but the bottleneck is still surfacing the right clip to the right viewer quickly. For inspiration I have been looking at platforms like rulevid which seem to do this well for a focused category. What does your pipeline look like, and what tools or services do you rely on?
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For large video libraries, I usually prefer a hybrid workflow that combines automated metadata extraction, AI-based content tagging, and manual quality checks. The process starts with organizing videos through structured metadata, then using search indexing and recommendation tools to improve content discovery, while human review helps maintain accuracy for specialized audiences. For testing ideas and taking short breaks from technical work, I also enjoy Subway Surfers because its fast-paced gameplay and immersive city environments provide a simple way to relax.
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