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measuring-product-market-fit

refoundai/lenny-skills

Help the user assess and achieve product-market fit using frameworks from 46 product leaders.

Installs563
Install command
npx skills add https://github.com/refoundai/lenny-skills --skill measuring-product-market-fit
Security audits
Gen Agent Trust HubPASS
SocketPASS
SnykPASS
About this skill
Help the user assess and achieve product-market fit using frameworks from 46 product leaders. When the user asks about product-market fit: Sean Ellis: "How would you feel if you could no longer use this product? Very disappointed, somewhat disappointed, or not disappointed. If 40% say 'very disappointed,' you're on the right track." This is a leading indicator of PMF before long-term retention data is available. Focus on the "very disappointed" segment as your core value indicator. Uri Levine: "Product market fit has one metric. Retention. If you create value, they will come back.

Source description provided by the upstream skill listing. Community reviews and install context appear in the sections below.

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FAQ
What does measuring-product-market-fit do?

Help the user assess and achieve product-market fit using frameworks from 46 product leaders.

Is measuring-product-market-fit good?

measuring-product-market-fit does not have approved reviews yet, so SkillJury cannot publish a community verdict.

What agent does measuring-product-market-fit work with?

measuring-product-market-fit currently lists compatibility with codex, gemini-cli, opencode, cursor, github-copilot, claude-code.

What are alternatives to measuring-product-market-fit?

Skills in the same category include telegram-bot-builder, flutter-app-size, sharp-edges, iterative-retrieval.

How do I install measuring-product-market-fit?

npx skills add https://github.com/refoundai/lenny-skills --skill measuring-product-market-fit

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