RightNow AI is the first GPU-native code editor supporting CUDA, Triton, CUTE, and Tilelang. Features agentic hardware-aware AI (Forge), cycle-accurate GPU emulator with 98% accuracy across 86+ NVIDIA architectures, real-time profiling with Nsight Compute integration, and line-by-line performance analysis. Write, optimize, and profile GPU kernels in any DSL, all in one editor. Supports all NVIDIA GPUs Free to download with pro features available.
GPU development shouldn't require switching between five tools just to understand why your kernel is slow
RightNow AI is the first GPU-native code editor. It brings real-time profiling, a cycle-accurate emulator, and AI that actually understands GPU kernels—all in one place.
profile without leaving your code. emulate H100s without the hardware. ask optimization questions in plain english
We support CUDA, CUTE, Triton, and Tilelang
free to download. give it a try, and join our discord if you have feature requests: https://discord.com/invite/sSJqg...
This is solving such a critical pain point in GPU development. The 98% accuracy emulator + real-time profiling combo is genuinely powerful.
Question: What's your user acquisition strategy? Are you targeting individual CUDA devs or enterprises with large-scale GPU infrastructure? Also curious about pricing model - per license or cloud-based consumption?
Love the focus on developer UX for a niche but growing market. Great execution! 💪
GPU emulation is notoriously slow. How close is your emulator’s behavior to real hardware, especially for warp scheduling and memory access patterns?
Huge congrats on shipping this.
“GPU-native” editor + real-time profiling + H100 emulation in one place feels like a massive DX upgrade vs juggling Nsight + scripts + docs.
Really curious to see how close the emulator gets to real hardware in practice.
Hey @jaber23 ! RightNow looks like a powerful tool for GPU kernel development. An AI code editor specifically built for this use case feels like such a smart niche to own, especially as GPU programming becomes more critical.
I'm curious, what makes the editing experience different from general purpose AI code editors? And how are you handling the visualization of performance metrics and optimization suggestions?
Also, who's your primary user? Are you seeing more data scientists, ML engineers, or hardcore systems programmers using it?
Best of luck with the launch!
Being able to leverage local LLMs for coding more efficiently is awesome.
Does it help identify memory bottlenecks automatically, or do I still need to hunt them down?
Been waiting for something like this! cuda dev has been such a pain with all the context switching between tools
About RightNow on Product Hunt
“AI code editor for GPU kernel development”
RightNow launched on Product Hunt on December 8th, 2025 and earned 197 upvotes and 13 comments, placing #5 on the daily leaderboard. RightNow AI is the first GPU-native code editor supporting CUDA, Triton, CUTE, and Tilelang. Features agentic hardware-aware AI (Forge), cycle-accurate GPU emulator with 98% accuracy across 86+ NVIDIA architectures, real-time profiling with Nsight Compute integration, and line-by-line performance analysis. Write, optimize, and profile GPU kernels in any DSL, all in one editor. Supports all NVIDIA GPUs Free to download with pro features available.
RightNow was featured in Developer Tools (511k followers), Artificial Intelligence (466.2k followers) and Tech (621.5k followers) on Product Hunt. Together, these topics include over 313.8k products, making this a competitive space to launch in.
Who hunted RightNow?
RightNow was hunted by Jaber Jaber. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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