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Founder Amanda Kahlow deliberately targeted large enterprise customers first for both her companies. This defies the common advice to start with SMBs. Her rationale: it’s easier to simplify an enterprise-grade product for smaller markets than it is to scale a simple product up.

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Amanda Kahlow notes that while starting mid-market is good advice for 90% of founders, her deep enterprise experience made it the wrong path for 6sense. A founder's key skill is identifying their unique context and knowing when to discard conventional wisdom that doesn't fit.

Founders often mistakenly start with low-margin, mass-market products (the "save the whales" syndrome), which makes the business look damaged. A better strategy is to start at the high end with less price-sensitive customers. This builds a premium brand and generates the capital required to address the broader market later.

Startups often fail to displace incumbents because they become successful 'point solutions' and get acquired. The harder path to a much larger outcome is to build the entire integrated stack from the start, but initially serve a simpler, down-market customer segment before moving up.

Counterintuitively, Filevine discovered that larger customers were easier to work with. They were more sophisticated, had internal resources for implementation, and understood technical limitations. Smaller customers, in contrast, often had "beer money and champagne tastes" with unrealistic expectations.

The world of Fortune 500 executives is a small, interconnected community. Rather than casting a wide marketing net, focus all energy on securing one key 'lighthouse' customer. Over-deliver value for them, even if the deal isn't profitable. Their endorsement and introductions to peers are more effective than any marketing channel.

Economist Bernd Hobart argues that large enterprises are too risk-averse for early AI adoption. The winning go-to-market strategy, similar to Stripe's, is for AI-native companies to sell to smaller, agile customers first. They can then grow with these customers, mature their product, and eventually sell the proven solution back to the legacy giants.

Most SaaS startups begin with SMBs for faster sales cycles. Nexla did the opposite, targeting complex enterprise problems from day one. This forced them to build a deeply capable platform that could later be simplified for smaller customers, rather than trying to scale up an SMB solution.

Contrary to conventional GTM strategy, Harvey intentionally targeted the largest law firms first. The rationale was that solving their complex needs and brutal compliance requirements would forge a product robust enough to serve the entire market, creating a powerful competitive moat from day one.

Jumping to enterprise sales too early is a common founder mistake. Start in the mid-market where accounts have fewer demands. This allows you to perfect the product, build referenceable customers, and learn what's truly needed to win larger, more complex deals later on.

Instead of starting with a scalable platform, Decagon built bespoke, perfect solutions for its first few enterprise customers. This validated their ability to solve the core problem deeply. Only after proving this value did they abstract the common patterns into a platform.