Koch also emphasizes the importance of understanding the client's data formatting and the quality of their data sources. He advises startups to question whether they are building technology for real-world applications and if they are maximizing value for the product, customer, and team.
Key takeaways:
- Bootstrapping an AI startup can serve as a competitive advantage, allowing you to build your startup without being beholden to anyone.
- When bootstrapping, it's important to involve your clients in building your product roadmap, targeting a specific issue, and understanding their data capabilities.
- Building a user feedback loop is crucial for testing, training your AI to get smarter, and providing the desired output.
- Before starting to build the technology, ask yourself if you’re creating a real-world application that companies will need, and if you’re putting every dollar toward providing value for the product, the customer, and the team.