"My Framework for Evaluating Early-Stage Consumer Companies: Function Calling and Other API Updates"

"My Framework for Evaluating Early-Stage Consumer Companies: Function Calling and Other API Updates"

When it comes to evaluating early-stage consumer companies, one of the most important questions to ask founders is about the defensibility of their product or platform. Understanding why people come, stay, share, and pay is crucial in determining the potential success of a consumer business. But how can we distill this complex question down to a single sentence? And what are the key factors that contribute to a company's defensibility?

In consumer businesses, frequency and time spent are key metrics to consider. It's important to identify the features or actions that receive the most user engagement. This could be a specific functionality that keeps users coming back or a unique value proposition that sets the company apart from its competitors. Additionally, examining the switching costs for users is crucial. Are there any barriers that prevent users from easily switching to a competitor's product? Is there a lock-in factor that keeps users loyal to the platform?

Another important aspect to consider is the potential for virality. Virality occurs when a product or platform spreads from one user to another through direct customer-to-customer contact. Understanding whether there is a propensity for users to share the product or platform via social media or word of mouth can greatly impact the company's growth potential. Virality can lead to exponential user acquisition and can be a strong indicator of a company's defensibility.

But it's not just about user engagement and virality. Evaluating the economics of a consumer company is crucial for long-term success. How will the economics change over time? Is the company able to drive differentiation through factors such as price, service, or brand? And most importantly, is this differentiation sustainable and defensible? Understanding the long-term economics and competitive landscape of a company can provide valuable insights into its potential for success.

Now, let's shift gears and discuss some recent updates in the world of APIs. One notable update is the introduction of a new 16k context version of the GPT-3.5-turbo API. This new version offers a significant improvement over the standard 4k version, allowing for more comprehensive and detailed responses. This update is a testament to the continuous advancements in AI technology and showcases the potential for even more sophisticated applications in the future.

In addition to the context version update, there have been significant cost reductions in the state-of-the-art embeddings model. The cost of the text-embedding-ada-002 model, which is the most popular embeddings model, has been reduced by 75% to $0.0001 per 1K tokens. This cost reduction makes it more accessible for developers and opens up new possibilities for utilizing embeddings in various applications.

Furthermore, the pricing for the gpt-3.5-turbo-16k API has been set at $0.003 per 1K input tokens and $0.004 per 1K output tokens. This pricing structure allows developers to have more flexibility and control over their API usage while still benefiting from the powerful capabilities of the GPT-3.5-turbo model.

In conclusion, evaluating early-stage consumer companies requires a comprehensive understanding of their defensibility and potential for long-term success. Factors such as user engagement, virality, economics, and differentiation play crucial roles in determining a company's ability to thrive in a competitive landscape. Additionally, staying up to date with the latest advancements in AI technology, such as the new API updates, can provide developers with new opportunities and possibilities. By incorporating these insights into our evaluation framework and taking advantage of actionable advice, we can make informed decisions and contribute to the growth and success of early-stage consumer companies.