Embodied AI Glossary中文Product-Market Fit
PMF（产品市场匹配）PMFCommonWhen a product satisfies a large enough market that customers actively choose to buy it.
Product-market fit (PMF) is startup and investing terminology for a product finding a market that genuinely needs it and is large enough to matter, evidenced by customers buying it on their own initiative, repurchasing, and spreading it by word of mouth. The concept originates with venture capitalist Andy Rachleff, and became widely known after Marc Andreessen's 2007 blog post calling it “the only thing that matters” for a startup. In embodied AI, PMF is the question investors ask most often: robot demos can be stunning, but which scenario will pay an acceptable price for a robot that's stable and efficient enough to replace the current solution is still unsettled. Until a company finds PMF, much of its revenue tends to come from research and education sales, exhibitions, and pilot programs.
ExampleAn investor asking a humanoid robot company, “Besides research/education sales and paid appearances, which use case has customers repurchasing at volume?” is really asking about PMF.
- Also called
- PMF
- Related
- Killer App · Closed Commercial Loop · Real-world Deployment · Proof of Concept · Scaled Deployment · Return on Investment / Payback Period
- Sources
- Product-market fit - Wikipedia
The only thing that matters - Marc Andreessen