In this light-hearted, business-to-business podcast episode about private equity, the hosts discussed their investment strategy and how they categorize their investments. They defined two main categories: safe bets and adventure bets.
Safe bets are profitable SaaS companies, such as analytics products, that they purchase based on existing revenues. They anticipate steady growth from these investments and aim for a 5% monthly compounded growth.
Adventure bets, on the other hand, are more experimental and may not have any customers yet. They can involve AI products or other tech products with little to no traction. The expected outcome from these bets is either a significant hit or a total write-off. They hope to have one or two out of five to ten such bets "pop."
They also dove into their interest in generative AI products, citing products like Support Kai as examples of their venture into this sector. They mentioned that they have two more such products under Letter of Intent (LOI).
However, they emphasized that the success of these AI-first products depends largely on whether the technology can genuinely deliver value to the customers and complete the jobs it's intended for.
The hosts also shared their struggles with scaling due to the size of the companies they can afford to buy and the scarcity of "safe bets" in their price range. They foresee that buying larger, mid seven-figure companies would help alleviate some of these issues.
By the end of 2023, they aim to make four to eight adventure bets while continuing to make safe bets as they become available.
For some light-hearted fun, the host talked about experimenting with runway ML, a machine learning tool that's gaining traction. They jokingly claimed that they had reached the "singularity" after using the tool to create a picture of them riding a pony, based on 22 images of themselves.