AI tools have made it much easier to build products, prototypes, landing pages, automations, and MVPs. But I keep wondering whether this creates a new problem: It is now easier than ever to build fast but still very hard to know what is actually worth building. For founders, indie hackers, freelancers, agencies, and product teams: How do you validate an idea before investing serious time into it? What signals do you actually trust? For example: customer interviews pre-sales search demand Reddit or community discussions Upwork / freelance marketplace demand competitor reviews waitlists paid ads manual concierge tests And what signals have misled you in the past? I m working on OPBO, a product in this space, and I d love to understand how builders think about validation before launch day.
OPBO is an AI-powered validation system that helps founders, indie hackers, freelancers, and product teams evaluate startup ideas before they spend months building.
It turns market signals, pain points, paid demand, and competitive gaps into structured validation evidence, helping you decide whether to continue, pivot, validate further, or stop.
