Parallax

Sviatoslav Dvoretskii, Abhinav Ramesh, Maxi Gimenez, and Alfred Simon built Parallax because they believed AI developer tools shouldn't require sending your code to the cloud. Most AI coding assistants today are cloud-first—they process everything on remote servers, which raises obvious IP concerns for enterprises. Parallax does things differently. It's local-first, meaning it runs AI models on your own machine, keeping your code and context exactly where it should be: yours.

They're positioning Parallax as an "AI orchestrator" for software development tasks—which likely means it coordinates multiple AI models or agents to handle different parts of the development workflow, from code generation to refactoring to debugging. The local-first angle is the differentiator. In a world where every dev tool wants your data, running locally is actually novel.

Four founders is a relatively large team for an early-stage tool, which suggests they've been at this for a bit. They're likely targeting individual developers and teams who want AI assistance without the data privacy trade-offs. The product launched on Product Hunt, so they're in early traction mode.