I built a Vamana-based vector search engine in C++ called sembed-engine. Recently I made a pull request that sped up queries by 16x and builds by 9x. The algorithm stayed exactly the same. The recall stayed at 1.0. The number of visited nodes did not change. The speedup came from data layout. The original code stored vectors as separate objects pointed to by shared_ptr: struct Record { int64_t
An SSG benchmark across five React frameworks, from one thousand You're building a marketplace. Or a documentation site. A wiki, Five minutes. Ten. Twenty. Maybe an hour. Maybe a stack trace. You don't know in advance — and the public benchmarks won't tell So I built a benchmark for the gap. Five frameworks in a pnpm workspace, each rendering one dynamic /posts/[id] from a shared deterministic d