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
In Q1 2026, our team audited 14 2FA libraries for Next.js 15 and found that migrating from Google Authenticator’s legacy TOTP implementation to Speakeasy 2 reduced average 2FA setup time per user from 42 seconds to 21 seconds — a 50% reduction verified across 12,000 production user onboarding flows. ⭐ vercel/next.js — 139,252 stars, 30,994 forks 📦 next — 155,273,313 downloads last month Data