We’ve been exploring a problem we keep seeing in product development: teams often build and ship ideas without truly understanding how their audience will react until it’s too late. To explore a different approach, we built AskReplicas; a system that simulates audience feedback using AI personas grounded in real demographic and psychographic data. The idea is to let you see how different audience segments might think, react, and respond to a product idea, message, or campaign before you commit time and resources. It’s still early and launching soon, but we’ve opened up a demo for anyone curious to try it. We’re not claiming this replaces real user research, but we’re curious whether simulated feedback can help teams think earlier, spot blind spots, and iterate faster. Would love feedback from this community, especially: * where this would actually be useful * where it would break down in practice * what we might be missing Happy to answer questions and share more context.