Jordan Kong is an investor-turned-company-builder at Atomic who has co-founded and scaled multiple companies across different tech verticals from concept through product-market fit, rather than providing only board-level support. She describes her superpower as execution and operations rather than idea generation, emphasizing that she takes dreams and does the hard work to make them reality through process design, ruthless prioritization, and a bias toward action.

• Deeply focused on artificial intelligence advancements and their practical impact on software usage. Believes AI tools will increase overall software engagement rather than reduce it and frequently highlights major industry shifts, such as comparing recent updates from Claude to the initial ChatGPT breakthrough.
• Values rapid execution and the ability to build massive projects quickly. Admires teams that maintain a startup pace even at a large scale and pointed out how Walt Disney managed to construct the entire Disneyland park in less than a year as a prime example of exceptional building in the physical world.
• Pays close attention to founder personalities and company culture, particularly the balance between intense ambition and lightheartedness. Pointed out that the most formidable founders are highly competitive but still know how to enjoy the process, especially in the consumer space where taking a product too seriously can limit success.
• Heavily involved in the crypto ecosystem and building frontier technologies through work at Paradigm and Tempo. Sees massive potential in prediction markets as a way for individuals to monetize their unique perspectives and expects institutional investors to eventually follow the retail crowd into these new asset classes.
• Intrigued by science fiction as a superior framework for predicting technological trends compared to traditional non fiction. Actively sought out a science fiction enthusiast for a new project because stories about the future often capture long-term trajectories much more accurately than formal industry predictions.