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10<br />

GROW<br />

I<br />

recently had two startups seek my advice on the same day. As<br />

types of businesses, they could not have been more dierent. The<br />

rst is developing a marketplace to help traders of collectibles<br />

connect with one another. These people are hard-core fans of<br />

movies, anime, or comics who strive to put together complete<br />

collections of toys and other promotional merchandise related to<br />

the characters they love. The startup aspires to compete with online<br />

marketplaces such as eBay as well as physical marketplaces<br />

attached to conventions and other gatherings of fans.<br />

The second startup sells database software to enterprise<br />

customers. They have a next-generation database technology that<br />

can supplement or replace oerings from large companies such as<br />

Oracle, IBM, and SAP. Their customers are chief in<strong>for</strong>mation officers<br />

(CIOs), IT managers, and engineers in some of the world’s largest<br />

organizations. These are long-lead-time sales that require<br />

salespeople, sales engineering, installation support, and<br />

maintenance contracts.<br />

You could be <strong>for</strong>given <strong>for</strong> thinking these two companies have<br />

absolutely nothing in common, yet both came to me with the exact<br />

same problem. Each one had early customers and promising early<br />

revenue. They had validated and invalidated many hypotheses in<br />

their business models and were executing against their product road<br />

maps successfully. Their customers had provided a healthy mix of<br />

positive feedback and suggestions <strong>for</strong> improvements. Both<br />

companies had used their early success to raise money from outside

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