Visualize computer vision
Rerun is an SDK for logging computer vision and robotics data paired with a visualizer for exploring that data over time. It lets you debug and understand the internal state and data of your systems with minimal code. It’s built in Rust to run fast everywhere.
Hello Product Hunt 👋 I’m Niko, co-founder and CEO of Rerun. We’re building the visualization stack for computer vision that I have always dreamt of as a developer. I met my two co-founders, Emil (the guy behind Rust GUI framework egui) and Moritz, when we were working at a 3D scanning for retail company called Volumental. Whilst working there I stumbled upon a talk by Bret Victor called Seeing Spaces. In it he made the argument that for a growing number of projects with embedded intelligence (ro
Hi Product Hunt o/ Happy to be sharing Rerun today. I met the Rerun crew back in their Volumental days, not many teams really shipped computer vision products that worked out in the real world like they did! They are now applying all this experience at Rerun, working on a problem that everyone working in computer vision can relate to.
Just watched the video and photos: your product looks amazing. It definitely needs more upvotes! Anyway, congrats on achieving this, and good luck with the PH launch!
Thanks for being so welcoming back when I wanted to join the repo and learn more about all the amazing work you guys are up to, Nikolaus and co.! Very excited to see you keep pushing the limits of what Rust apps can do. Extremely inspiring.
Wowowow your video tool is incredible! Why does your project not have more votes?? Can we also mention it is open-source? Anyway, I'll have to give it a try!! Bravo @nikolaus_west !! You got a star and new follower on Github
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.