pmf-pulse

What problem does it solve?

PMF Pulse removes uncertainty about product-market fit by aggregating and validating signals from customer calls, CRM activity, prospect replies, public forums, job postings, and competitor data so founders get prioritized, evidence-backed product recommendations instead of anecdotes.

Core Features & Use Cases

• Multi-source signal aggregation: Pulls transcripts and summaries from Fireflies, deal activity from HubSpot, prospect objections from Apollo, Reddit threads, Indeed/LinkedIn job signals, and competitor SEO and web data.
• Cross-source validation & scoring: Scores Pull, Retention, Word-of-Mouth, Willingness-to-Pay, Must-Have, and Market Timing signals and surface patterns where multiple sources converge.
• Actionable intelligence report: Produces a ranked feature request stack, validated opportunities, churn/expansion lists, competitor gaps, and prioritized next actions for founders and PMs.
• Use Case: Run a 30-day PMF check to validate whether recurring customer complaints and hiring churn justify building an automated prior-authorization workflow and identify the highest-impact feature to ship next.

Quick Start

Run a 30-day PMF check across Fireflies, HubSpot, Apollo, Reddit, Indeed, and Ahrefs and produce a ranked intelligence report with top validated pain points and the single highest-priority action to take today.