Interview, Fireside Chat
Instagram Founders Reveal Their New App "Artifact"
- Prioritize utilizing user behavior and data for individual benefit rather than corporate gain, commencing with news as the primary entry point.
- Leverage web machine learning to rapidly construct user profiles upon signup, ensuring accurate initial recommendations despite not yet possessing full niche coverage for interests such as hi-fi audio systems or Japanese architecture.
- Bootstrap the user base by converting press attention into a functional set of recommendations for a specific audience, anticipating daily new content even within a non-social usage model.
- Focus on core product functionality described as "vanilla ice cream" for the immediate couple of weeks, deferring the addition of supplementary features or "toppings" to avoid complicating the user experience.
- Monitor consumption, posting, engagement, and commenting metrics once social networking capabilities are broadly deployed, expecting public usage of stories per day to exceed the activity levels of the initial beta group of 1,000 to 2,000 people.
- Restrict future feature development to those that enhance the product's core job, aiming to prevent user confusion that may arise from adding unrelated functionalities like shopping until the company achieves sufficient scale.
- Maintain a simple product concept to ensure user retention, acknowledging that complex features or premature expansion into areas like e-commerce could confuse users if the user base is not large enough.