Rapid ML prototyping is a $4.2B market in 2024, yet 68% of engineering teams report wasting 12+ hours per week on framework overhead instead of model iteration. After benchmarking Keras 3.0 and FastAI 2.7 across 12 common prototyping tasks on NVIDIA A100 and consumer RTX 4090 hardware, we found a 3.2x difference in time-to-first-inference for vision tasks, and a 41% gap in memory overhead for NLP pipelines. 📡 Hacker News Top Stories Right Now Async Rust never left the MVP state (119 points) Hand Drawn QR Codes (98 points) How OpenAI delivers low-latency voice AI at scale (406 points) Bun is being ported from Zig to Rust (496 points) CVE-2026-31431: Copy Fail vs.…