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RightNow CUDA Editor Screenshot
RightNow CUDA Editor

RightNow CUDA Editor

AI code editor for GPU development

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141 Upvotes

About

RightNow AI is an AI-powered code editor specifically designed for NVIDIA GPU kernel development and optimization. It targets hardware AI developers at leading companies like Nvidia, Hugging Face, Runway, and Together. Key features include instant inline profiling with NCU metrics, hardware-aware AI LLMs trained on specific GPU architectures, local LLM support for privacy (Ollama, vLLM, LM Studio), a smart profiling terminal that diagnoses issues and suggests fixes, GPU emulation for 86+ architectures, benchmarking across various configurations, PTX/SASS assembly viewing, AI bottleneck analysis, multi-GPU profiling, and remote GPU virtualization. It supports multiple GPU programming languages and DSLs such as CUDA C/C++, CUTE, Triton, PyTorch, and TileLang, aiming to streamline the entire GPU code development and deployment lifecycle.


Color Palette

Background Dark

#0A0A0A

85%

Text White

#FFFFFF

10%

Accent Green (Product Hunt)

#00CC66

2%

Accent Blue/Cyan

#00C0FF

3%

Typography

Sans-serif

Headings and Body Text

Aa

Monospace

Code Blocks and Terminal Output

Aa

Design Review

The design of the RightNow AI landing page is exceptionally well-suited for its technical audience. The dominant dark theme is professional, reduces eye strain, and effectively highlights code snippets and interactive elements. The layout is clean and modern, making complex information digestible. The use of a clear sans-serif font for headings and body text ensures readability, while the monospace font for code blocks is standard and expected. Accent colors, particularly the vibrant green for the Product Hunt badge and a subtle blue/cyan for links and animated elements, provide visual interest without being distracting. The integration of images and animated GIFs effectively demonstrates the product's features. Overall, the design conveys a sense of high-tech sophistication and usability, reinforcing the product's value proposition for serious GPU developers.

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