Definition
Dual-Sided Marketplace
A platform that must simultaneously attract and serve two distinct user groups whose participation depends on the other side being present. In Luxxera's case: patients and clinics.
From the episode “Medical Tourism Is a $100B Industry”Hear it on the podcast1 episode
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Related terms in Startups & Fundraising
Design PatentProtects how something looks; typically easier to interpret and litigate.DilutionThe reduction in existing shareholders' ownership percentage that occurs when a company issues new shares, typically during a funding round.Direct Public Offering (DPO)Listing existing shares on an exchange without raising new capital. Shareholder to shareholder trading, no IPO roadshow.Distribution on Cap TableGiving equity — not just commissions — to people who already have relationships, access, and trust inside your target market. Not hiring salespeople after the product is built, but recruiting co-builders who are already known inside the networks you need to reach. Josh Furstoss's first checkbox before starting any new company.Earn-outA deal structure where part of the sale price is paid later, contingent on the founder staying and hitting targets.Execution PremiumThe principle that execution accounts for 99% of startup outcomes and the initial idea for 1%. Ideas are the starting point — what makes them founders — but validation, iteration, delivery quality, and market timing determine whether anything becomes a business. A great idea with poor execution fails; an ordinary idea executed with relentless customer focus and iteration can succeed. The implication: invest disproportionately in execution infrastructure, not idea protection.Fast Follower AdvantageThe competitive benefit of entering a validated market after initial product-market fit is demonstrated, using better tools, models, or distribution than were available to the pioneer. Distinct from being late: a fast follower enters early enough that the market is still forming, but after the founding pioneers have absorbed the discovery risk. Cal.ai is the canonical example: launched before vision AI was accurate enough to reliably identify food, it grew distribution while the models improved — and was positioned to capture compounding gains from model improvements that arrived after launch. The lesson: being in market is a prerequisite for benefiting from technology progress you don't control.Feasibility studyThe engineering and economic study that determines whether a mining project can proceed to construction.