PainPoints.fast is an intelligence engine designed to validate SaaS ideas by analyzing real customer complaints and market signals. It scans millions of data points from public sources to identify genuine market gaps and user frustrations before founders commit to building.

The platform monitors, aggregates, and analyzes data from Reddit, Twitter (X), G2/Capterra, Product Hunt, Hacker News, YouTube, and App Store reviews. It provides smart filtering to remove spam and bots, identifies main pain points like 'Hard to Switch' or migration issues, and understands real user language by grouping terms like 'slow' and 'laggy' into coherent pain categories. The system offers a clear Build/Consider/Skip verdict based on pain severity, frequency, confidence, and willingness to pay.

The Intelligence Engine v2.0 works by first having users enter a market or problem idea. It then scans real conversations across 32+ sources for repeated pain, urgency, and willingness to pay signals. The analysis includes 5-vector intelligence depth and provides live social signals from platforms like X and Reddit. Each report includes signal strength indicators and links to original posts for verification.

Benefits include saving hundreds of hours of research by analyzing millions of reviews, providing evidence-based validation instead of guesses, and helping avoid building features nobody asked for. Use cases include validating SaaS ideas, identifying market gaps, analyzing competitor complaints, and monitoring industry trends.

The platform is built for serious founders who need clarity rather than dashboards. It offers integrations with multiple data sources and includes features like auto-monitoring with weekly email updates, one-click sharing of reports, PDF export capabilities, and an AI assistant for contextual questions about analyses.