Stop Guessing.
Discover real business problems people are actively complaining about. Our AI-powered web scraping tools extract and validate business problems from 12+ platforms before you build anything.
A data-driven approach to finding your next startup opportunity
Tell us about your budget, time commitment, technical skills, and industry interests. Our AI personalizes opportunities to match your unique situation.
Our advanced web scraping tools extract real customer complaints, feature requests, and pain points from 12+ platforms. Advanced NLP validates market demand automatically.
Receive startup ideas backed by real data, complete with market analysis, monetization strategies, and technical implementation guidance.
The #1 reason startups fail is building something nobody wants. Here's how to avoid it.
Real business problems aren't abstract concepts—they're specific frustrations people experience daily. These problems show up as complaints on Reddit, 1-star reviews on Capterra, feature requests in support tickets, and heated discussions on Hacker News. The best startup opportunities come from finding patterns in what people are actively suffering through, not what they hypothetically might want.
According to CB Insights, 42% of startups fail because there's no market need. Founders spend months building features nobody asked for, based on assumptions instead of data. The solution? Find validated business problems before writing a single line of code. Learn our proven validation framework →
Web scraping tools automatically extract thousands of data points from review sites, forums, social media, and support channels. Instead of manually reading hundreds of reviews or scrolling through Reddit threads, AI-powered scraping finds patterns that humans would miss.
Here's how it works: Our web scraping system monitors 12+ platforms including G2, Capterra, TrustPilot, Product Hunt, Reddit, Hacker News, and Twitter. When someone posts "I wish there was a tool that..." or "Why is there no solution for...", we capture it. Natural language processing (NLP) then identifies:
This data-driven approach beats traditional market research because it shows you what people are actually doing, not what they say they'd do in a survey. Compare the best web scraping tools →
Validation isn't about confirming your idea is good—it's about proving people will actually pay for it. The problem validation process follows a specific framework:
Companies like Superhuman, Notion, and Linear all validated their problems before building products. They didn't ask "Would you use this?" (everyone says yes). They asked "What have you tried to solve this? How much did it cost? When was the last time you had this problem?" This reveals real demand, not polite interest.
Finding validated business problems through web scraping gives you a massive unfair advantage. While other founders guess at problems, you'll have data showing exactly what people are struggling with, how often, and whether they're willing to pay for solutions. This is how you build products people actually want.
Everything you need to discover and validate your next startup
Our AI-powered web scraping tools automatically extract authentic feedback from G2, Capterra, TrustPilot, Product Hunt, Reddit, Hacker News, and more.
AI identifies recurring complaints, unmet needs, and market gaps with validated demand signals using proven frameworks.
Solutions tailored to your budget, technical skills, time availability, and unfair advantages.
Every suggestion backed by real customer feedback and demand signals from multiple sources.
Chat with AI to explore different angles, dig deeper into problems, and refine ideas in real-time.
Quickly explore multiple problem spaces and pivot based on real-time market intelligence.
Join founders who are using AI to discover validated startup ideas