Squint

Squint taps into one of the most exciting shifts in the AI landscape: the move beyond the chat window and into the interface itself. For the past year, we've been trained to copy-paste screenshots and dump text into chatbots. Squint flips that script by letting you define the context spatially—drag a box, ask a question, get an answer. It's the natural evolution of "vision mode" and screenshot-to-AI tools, but with a fraction of the friction. And in the startup world, friction is the enemy of adoption. This is a huge deal for founders and operators who live in a dozen tabs at once. Think about onboarding flows, support tickets, or debugging a gnarly data viz—Squint lets you interrogate what's right in front of you instead of describing it to a bot that can't see it. That's a serious productivity multiplier. The "drag a box" interaction is also a signal of where product design is heading: the screen itself becomes the input device. We're moving from keyboard-and-prompt to direct manipulation plus natural language, and Squint is riding that wave early. Of course, the real test is execution. How accurate is the AI on complex or cluttered screens? Does it handle context across multiple selections? Those are open questions, and the Product Hunt launch is just the beginning. But the concept is undeniably compelling, and it's a pattern we're likely to see replicated across every major AI assistant in the next 18 months. Squint might just be the first mover in a new category of "spatial AI" tools. For more details, check out the launch page here: https://www.producthunt.com/products/squint