The idea

“The problem: Finding your first customers is brutal. You know your product solves a real problem, but you don't know WHO those people are or HOW to reach them. Cold outreach works, but building a lead list manually takes forever: searching Google, visiting websites, hunting for contact emails, and figuring out if they're even a good fit. What I built: You list your product on betaFounder, and AI analyzes what your product does, who it's for, and what problem it solves. Then it goes out and searches the internet to find real companies and startups that actually have that problem. But it doesn't stop there, it crawls their websites, finds their contact emails (from contact pages, about pages, footers), and tells you exactly WHY your product would be useful to them. So instead of "here's 1,000 random emails from a database," you get something like: Acme SaaS acmesaas.comThey run a live web app with paying users but have no uptime monitoring Why they need you: "Your alerting tool would notify their small team instantly when their app goes down, before customers complain" Email: founders@acmesaas.com Every lead comes with context. Not just an email, but a reason to reach out. How it's different from Apollo/Hunter/Snov: Those tools give you filtered lists from a massive database. Great for volume, but zero context. You still have to figure out why each person should care about your product. This gives you fewer leads (about 250/week), but each one is matched to YOUR specific product with a personalized reason for outreach. Quality over quantity. Pricing I'm thinking: $99/month for 1,000 leads/month”