CUDA engineers can now use RightNow AI’s vibe coding in V2.0

RightNow AI has launched version 2.0 of its CUDA optimization tool, climbing to the top of Product Hunt rankings with its innovative approach to GPU programming. The platform allows developers to automatically profile, detect bottlenecks, and optimize CUDA kernels without writing code (vibe coding), potentially democratizing high-performance computing optimization that typically requires specialized expertise. Its impressive 4.93/5 rating and rapid climb to #1 daily rank suggest the tool is addressing a significant pain point in GPU development.

The big picture: RightNow AI’s V2.0 platform promises to simplify CUDA kernel optimization through an automated, no-code approach to GPU performance tuning.

• The platform automatically profiles code, identifies performance bottlenecks, and optimizes CUDA kernels without requiring users to manually write optimization code.
• After its initial March 2025 launch, the V2.0 update has quickly gained traction, earning the #1 daily rank and #2 weekly rank on Product Hunt.

Key details: The platform has garnered considerable engagement with 818 points and 68 comments since its April 27th launch.

• It maintains a near-perfect 4.93/5 rating from users, suggesting strong satisfaction with its performance and capabilities.
• The product is tagged under Developer Tools, Artificial Intelligence, and No-Code categories, indicating its positioning at the intersection of AI-powered development and accessibility.

In plain English: The tool helps programmers get the most speed out of Nvidia graphics cards without having to be experts in performance optimization, using AI to automatically find and fix slowdowns in their code.

Why this matters: GPU optimization traditionally requires specialized knowledge, making CUDA performance tuning inaccessible to many developers.

• By automating the optimization process, RightNow AI potentially democratizes high-performance computing, allowing a broader range of developers to achieve peak GPU performance.
• The tool’s no-code approach aligns with the growing trend of using AI to abstract away technical complexity in software development.

Reading between the lines: The “vibe coding” reference in the product tagline suggests the platform may incorporate an intuitive, experience-focused interface that makes technical optimization feel more approachable.

• The strong user response indicates that GPU optimization remains a challenging bottleneck even for experienced developers, creating demand for automated solutions.