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7/20/2026
How I built a high-performance Chinese learning platform with 100k+ TV clips using Rust and Next.js 15

How I built a high-performance Chinese learning platform with 100k+ TV clips using Rust and Next.js 15

Short summary

MandarinClips is a language learning platform indexing 100k+ sentence-sized clips from Chinese TV and movies. The stack uses Next.js 15 on the frontend, Rust with Axum for the backend, and PostgreSQL with pg_trgm for sub-millisecond fuzzy search across Chinese characters and pinyin. Backblaze B2 proxied through Cloudflare provides zero-egress-cost storage and CDN. The architecture handles thousands of concurrent queries on a single 2-core VPS.

  • •Platform indexes 100k+ Chinese TV/movie clips for language immersion learning
  • •Rust + Axum backend with PostgreSQL pg_trgm GIN indices for sub-ms fuzzy search
  • •Backblaze B2 + Cloudflare CDN for zero-egress-cost storage serving a 2-core VPS

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The original title is "How I Built an Ultra-Fast Bilingual Dictionary Handling 293,000+ Words on the Edge"
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