Key Features

Scans over 12 sources including Reddit, X, G2, and Hacker News for pain points.
Generates a clear 'Build, Consider, or Skip' verdict based on aggregated data.
Provides a single 0-100 Validation Score summarizing market demand and pain severity.
Includes an integrated assistant to 'Ask Anything' contextual questions about the analysis report.
Offers continuous weekly monitoring and email updates for subscribed reports.
Translates varied user language into consolidated, standardized pain point categories.
Allows for one-click sharing of professional reports via secret links.
Exports analysis into a high-fidelity, business-grade PDF format.

The Intelligence Engine v2.0 transforms raw, unstructured conversations into actionable intelligence through a streamlined, four-step process. After the user inputs their SaaS idea, the system applies smart filtering to remove spam and bots while identifying recurring frustrations. It then analyzes the language used, consolidating synonymous complaints—such as interpreting 'slow' and 'laggy' as the same core issue—to accurately score the pain based on frequency, severity, and urgency. The final output is a clear, decisive verdict: Build, Consider, or Skip, often summarized by a single Validation Score out of 100, providing founders with decision-ready intelligence rather than overwhelming data dashboards.


For subscribers, the service extends beyond initial validation by offering continuous market monitoring through an Auto-Monitor Mode. This ensures that market sentiment, new competitor complaints, and emerging pain points are continuously tracked, delivering weekly email updates directly to the user. Furthermore, the platform emphasizes transparency and usability by allowing users to instantly chat with their analysis for contextual answers, export comprehensive PDF reports suitable for investors, and verify every data point via direct links to the original source material. This commitment to real evidence from real people is intended to prevent the common pitfall of building unneeded features, which notoriously leads to wasted time and technical debt.

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