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
I'm a fullstack web developer with 6 years of experience. Python, Rust, JS, databases, and APIs. That's my day job. I had never touched electronics. A few weeks ago, I decided to build CyberKey. The itch came from something boring at work: my VPN disconnects when I lock my computer, and I have to type a TOTP code several times a day. Unlock my phone, open the authenticator app, read the code, type