Most CUDA developers waste hours trying to speed up kernels because they can’t see the full architecture and behavior of their GPU.
So, I built RightNow AI solo while still at university. It’s a CUDA code editor that profiles kernels live inside the editor, writes kernels optimized for your exact GPU, autocompletes code based on your hardware, shows inline profiling for debugging and optimization, and lets you choose between local AI or cloud models for privacy.
It’s free during the preview period. You can use your own API keys or run local LLMs with Ollama, etc.
In testing, kernels generated in RightNow AI have run up to 179x faster on the same hardware, with no manual tuning!!
Join the waitlist and get early access before it fills up
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[ 3.2 ms ] story [ 9.2 ms ] threadSo, I built RightNow AI solo while still at university. It’s a CUDA code editor that profiles kernels live inside the editor, writes kernels optimized for your exact GPU, autocompletes code based on your hardware, shows inline profiling for debugging and optimization, and lets you choose between local AI or cloud models for privacy.
It’s free during the preview period. You can use your own API keys or run local LLMs with Ollama, etc.
In testing, kernels generated in RightNow AI have run up to 179x faster on the same hardware, with no manual tuning!!
Join the waitlist and get early access before it fills up