Optimizing CUDA kernels is complex and usually requires expert knowledge. I built a tool that automates this process by profiling your code on serverless GPUs (

Optimizing CUDA kernels is complex and usually requires expert knowledge. I built a tool that automates this process by profiling your code on serverless GPUs (matched to your GPU architecture), identifying bottlenecks, and applying SOTA optimization techniques to achieve up to 20x faster performance, without any manual tuning. DeepSeek’s R1 showed how optimizing kernels can cut costs while improving performance, and I wanted to take that further by making GPU optimization effortless. Would love to hear your thoughts! Feedback is highly appreciated. Try it here: [your website link] (Apologies for not offering a free trial—GPU profiling is costly, which makes it hard to provide one at this stage.)