While JSON is the standard, its verbosity becomes a bottleneck in high-throughput systems and AI pipelines. Lytok focuses on four key pillars:
Token Efficiency: Up to 44.80% fewer tokens than JSON, significantly reducing LLM inference costs.
Storage Density: Up to 60% reduction in disk space usage.
Bandwidth Economy: Smaller payloads for faster, cheaper network transfers.
Strong Typing: Native support for complex data types without the overhead.
This is a project of passion I’ve been refining since last year. I’ve built a web-based Lab so you can test these claims with your own datasets.
Check out the Lab: https://lytoklab.netlify.app/ I'd love to hear your technical feedback.