Remove 2008 Remove Aggregator Remove Continuous Deployment Remove Naming
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Case Study: Continuous deployment makes releases non-events

Startup Lessons Learned

Lessons Learned by Eric Ries Monday, January 18, 2010 Case Study: Continuous deployment makes releases non-events The following is a case study of one entrepreneurs transition from a traditional development cycle to continuous deployment. Continuous Deployment is Continuous Flow applied to software.

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It's a startup, not a spreadsheet

Startup Lessons Learned

It’s entirely possible for the startup to be a massive success without having large aggregate numbers, because the startup has succeeded in finding a passionate, but small, early adopter base that has tremendous per-customer behavior. Case Study: Continuous deployment makes releases n.

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Lessons Learned: Validated learning about customers

Startup Lessons Learned

Now, in some situations, this over-selling would lead to a secondary problem, namely, that customers would realize they had been duped and refuse to re-subscribe. First of all, it means that most aggregate measures of success, like total revenue, are not very useful. Case Study: Continuous deployment makes releases n.

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Why diversity matters (the meritocracy business)

Startup Lessons Learned

Two others – that each team member give their input independently and that the results be objectively aggregated – are also key parts of building a meritocracy. Now, whenever I screen resumes, I ask the recruiter to black out any demographic information from the resume itself: name, age, gender, country of origin.

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Business ecology and the four customer currencies

Startup Lessons Learned

In an ecosystem, each participant acts according to its own imperatives, but these selfish actions have an aggregate effect. This attention is valuable to yet another set of people: namely, the traditional businesses (see above) who are using marketing to grow, and are looking to advertise to new prospects.

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Lessons Learned: Sharding for startups

Startup Lessons Learned

Imagine you want to store data about customers, each of whom has "last name" field in your database. The problem should be familiar to anyone who plays Scrabble: not all letter are equally likely to be used as the first letter of someones name. Give each entity a name. For example, consider this simple scheme.