VenturusAI's instant MBA & Samantha Wong on identifying soon-to-explode startup markets | E1777 | Summary and Q&A

TL;DR

Explore the potential of less competitive markets like Australia and New Zealand for venture investments.

Key Insights

• 🇳🇿 Leveraging underserved markets like Australia and New Zealand can yield significant returns due to the lack of competition.
• ❓ Identifying Lighthouse companies and nurturing entrepreneurial talent are essential for market growth and success.
• 🌍 Entry into international markets requires strategic relocation or partnerships to navigate cultural and consumer differences effectively.

Transcript

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Questions & Answers

Q: How has Blackbird Ventures found success in investing in Australia and New Zealand?

Blackbird Ventures identified the untapped potential of these markets, leveraging on anti-consensus investments to generate significant returns.

Q: What are the key indicators for potential success in less competitive markets?

Indicators such as undersupply of capital, presence of Lighthouse companies, and a concentration of entrepreneurial talent are crucial for identifying opportunities for success.

Q: How does entering the U.S. market differ for Australian companies?

Australian companies looking to enter the U.S. market may face challenges in adapting to different consumer behaviors and market dynamics, requiring strategic relocation or collaboration with local partners.

Q: How does the competition from American investors affect the Australian investment landscape?

American investors are increasingly exploring opportunities in Australia, creating a more competitive environment but also offering valuable insights and potential partnerships for local businesses.

Summary

In this video, the host interviews the founder of a startup that has built a tool using AI language models to generate comprehensive business reports. They discuss the evolution of the platform's prompts, the pricing model, how they obtained customer feedback through Reddit, and potential future directions for the product. The host also offers to invest $100,000 in the startup pending due diligence.

Questions & Answers

Q: How did the founder come up with the idea for the startup?

The founder came up with the idea based on their experience in business school and realizing that it would be beneficial for everyone to have access to this information without having to go to business school. They wanted to provide entrepreneurs with a framework to generate content and validate their ideas quickly.

Q: How did they optimize the prompts for the AI language model?

The founder initially used various frameworks from business books as prompts. They experimented with different instructions, such as prompting the model to act as an experienced venture capitalist. They also iteratively improved the prompts based on the AI model's responses, continuously refining the content to achieve better results.

Q: Why did they use both GPT-3.5 and GPT-4 for their platform?

The founder mentioned that GPT-4 generally provided better results. However, they also considered cost optimization, as GPT-4 is more expensive. By using both versions, they were able to offer more cost-effective options while still delivering valuable reports to their customers.

Q: What is the pricing model for the startup's platform?

The startup offers both a subscription plan and a pay-as-you-go option. Customers can generate a standard report for free and then choose to upgrade to an advanced report for $10. The subscription plan costs $20 per month per seat.

Q: How did the startup attract its first customers?

The startup initially offered the standard report for free to gather feedback. They promoted the platform on various platforms, including Reddit, where they received valuable feedback from communities like r/Entrepreneurship. They also reached out to moderators of relevant subreddits to ask permission to post about their product.

Q: What are the startup's plans for the future?

The startup aims to continue improving and expanding its platform. They want to offer tools and features around the reports to enhance the user experience. The founder also mentioned the concept of GPT agents, where an AI can be instructed to perform specific tasks. They see potential for the platform to evolve into an AI-driven brainstorming and consulting tool.

Q: How accurate are the generated reports?

Accuracy depends on the information provided in the prompt. The founder gave an example of a report for a go-kart track, where specific details on costs and specifications would lead to more accurate estimates. They encourage users to provide as much information as possible to improve the accuracy of the reports.

Q: How does the AI model handle books and case studies?

The AI model doesn't have a deep understanding of specific books or case studies. However, it can provide insights based on the information it has been trained on. The founder mentioned the possibility of integrating specific books into prompts or leveraging analyses done by others to augment the reports.

Q: Has the startup attracted any big customers?

As of the interview, the startup had not attracted any big customers. However, they were cautious about disclosing customer information due to legal considerations. They were focused on gathering feedback and improving the platform's value for potential customers.

Q: How did the founder market the product and attract early adopters?

The founder initially offered the standard report for free and sought feedback from various platforms. They leveraged communities like Reddit and reached out to moderators to ask permission to post about their product. They also started a Twitter account and created channels for customers to provide feedback.

Takeaways

This startup has created a tool that leverages AI language models to generate comprehensive business reports. It offers both a subscription plan and a pay-as-you-go option, making it accessible to a wide range of users. The founder's focus on gathering feedback and continuously improving the prompts shows a commitment to delivering value to their customers. With potential future developments like enhanced tools and features, as well as the concept of GPT agents, this platform has the potential to evolve into a powerful AI-driven consulting tool.

Summary & Key Takeaways

• Australia and New Zealand have produced over $126 billion in enterprise value, showcasing hidden opportunities.

• Blackbird Ventures focuses on anti-consensus investments in these regions, yielding significant returns.

• Key indicators for potential success include undersupply of capital, presence of Lighthouse companies, and wealth of entrepreneurial talent.