These are notes I had lying around from a Google Entrepreneur Day.
- Small teams, Flat structure. Adaptibility. Agile, flexible, high sharing of data.
- Meritocracy and Transparency. Helps make passionate people.
- Execution. Experiment often, fail quickly. Testing and Auditing. Reward risk, do not punish failure.
- Collect and aggregate usage data. Data should not lie, and it will keep you honest.
- 3 A's of entrepreneurship:
- Audit Data and yourself.
- Admit when things are not working.
- Adapt in order to survive.
Understand your user
- Australia has the highest internet penetration. Best place to actually test. South Korea, UK and US are other penetration markets.
- Trends: Mobility, Video, Social, Cloud.
- Consumerism of IT. Take Consumer technology (phones, tablets, etc) into the business.
BigQuery
- Big Data is "When the cost of throwing away data becomes higher than technology used to store it"
- Batch-based solutions were not fast enough (for data-driven decision making)
- Accessed via RESTful API. Make it into a service.
- Suitable for aggregation and predictions.
Go
- Small language
- Simple type system
- Fast runtime properties
- Native concurrency support
- Fast development workflow
- Comprehensive standard library
- Standard library includes JSON, XML, net, SQL database and command line flags
Lean platforms for lean start-ups
- You are not the only one working on it. You do not always have a great idea.
- Steps:
- Start small, start fast
- Learn like a scientist. Rigorous, precise, learn from failure.
- Minimise friction to ship
- Advatange is that a start-up can focus on markets no-one cares about.
- Move fast and break things
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