Aggregate cross-source product and market feedback into validated PMF signals.
npx skills add https://github.com/jp-solumhealth/jpstack --skill pmf-pulse
Please help me install this Agent Skill. Skill: pmf-pulse Source: https://github.com/jp-solumhealth/jpstack/tree/main/pmf-pulse Command: npx skills add https://github.com/jp-solumhealth/jpstack --skill pmf-pulse
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.
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.
High-intent search queries and answers about installing and using this skill.
Assessing product-market fit involves scoring six core dimensions: Pull, Retention, Word-of-Mouth, Willingness-to-Pay, Must-Have, and Market Timing. The Skill cross-references these signals across customer calls, CRM deals, and public forums to validate where multiple data sources converge into a strong PMF indicator.
Yes, you can run a PMF check across Reddit threads and competitor web data simultaneously. The Skill aggregates voice-of-customer insights from public forums alongside competitor SEO lookups to surface validated pain points and competitor gaps within a single cross-referenced report.
The best way to validate customer complaints and hiring churn is to cross-reference job postings from Indeed or LinkedIn with prospect objections from Apollo and CRM deal activity. This multi-source validation confirms whether recurring complaints justify building a proposed feature.
You generate a ranked feature request stack by aggregating prospect replies, competitor data, and customer feedback, scoring the findings, and ranking them into a deliverable intelligence report. This highlights validated opportunities and the highest-impact feature to ship next.
Yes, this PMF intelligence approach requires fetching transcripts and summaries from Fireflies, querying CRM systems like HubSpot, and running targeted web lookups. These cross-source data fetches are necessary to cross-reference signals and score findings accurately.
You should not rely on a single data source for product-market fit validation when you need evidence-backed recommendations instead of anecdotes. Cross-source validation across calls, CRM, and forums is required to surface patterns where multiple independent sources converge on the same pain point.
naveedharriAnalyze call transcripts and CRM data to generate a performance report with grades, journey maps, and coaching recommendations.
tabooesCalculate SaaS revenue and retention metrics to diagnose momentum and product-market fit.
kekoesportsExtract site content, SEO signals, and market data into structured competitor profiles.
jesseotremblayAnalyze customer feedback to extract themes, sentiment, and buyer personas.
