Inspiration
Finding high-quality leads is still one of the most time-consuming and inefficient tasks for businesses and agencies. Most teams rely on manual scraping, outdated databases, or generic lead tools that deliver low-intent data. I wanted to build a system where lead generation feels automatic, intelligent, and reliable.
What it does
LeadScraperPro is an AI-powered lead generation platform that automatically discovers, qualifies, and verifies B2B leads based on industry, role, location, and intent signals. Instead of manually searching for prospects, users receive ready-to-contact leads that can plug directly into their sales or automation workflows.
How we built it
LeadScraperPro was built using Base44, an AI-powered application builder that enabled rapid development of a production-ready SaaS platform. Google Gemini is used for intelligent data analysis, lead qualification logic, intent classification, and decision-making across the scraping pipeline.
This architecture allows the system to continuously evaluate lead quality in real time while remaining scalable and cost-efficient. Using Gemini significantly reduced manual rule-building and improved accuracy across different industries.
Challenges we ran into
The biggest challenge was balancing data accuracy with automation speed. Another challenge was ensuring that AI qualification remains explainable and reliable for real-world business use cases.
What we learned
AI becomes most powerful when it reduces decision fatigue. By focusing on outcomes instead of raw data, we learned how AI can turn lead generation into a predictable system instead of a guessing game.
What's next for LeadScraperPro
Next steps include real-time CRM integrations, built-in AI outreach, and voice calling agents to close the loop from lead discovery to booked calls and payments.
We also learned that AI systems perform best when paired with clear intent signals and outcome-focused design rather than raw data collection.
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