Before focusing on product or growth, Kalshi's entire initial effort was on legalizing prediction markets. For founders in regulated industries, this shows that navigating the legal landscape isn't a parallel task—it is the primary business until a framework for operation is secured.
Before building, founders in complex industries must deeply understand the operational rigor and nuances of their target vertical. This 'operator market fit' ensures the solution addresses real-world workflows, as a one-size-fits-all approach is doomed to fail.
Unlike competitors using crypto to operate outside regulatory frameworks, Kalshi's CEO views on-chain technology as a tool to enhance a regulated system. He envisions using it for clearing to improve immutability and transparency, enabling a permissionless ecosystem built upon a compliant foundation.
Luckey reveals that Anduril prioritized institutional engagement over engineering in its early days, initially hiring more lawyers and lobbyists. The biggest challenge wasn't building the technology, but convincing the Department of Defense and political stakeholders to believe in a new procurement model, proving that shaping the system is a prerequisite for success.
After years battling for legitimacy, Kalshi's decision to sue its regulator, the CFTC, over election markets was a high-stakes move. Winning this lawsuit not only ensured the company's survival but also served as the critical turning point that legitimized the entire prediction market industry in the US.
Many laws were written before technological shifts like the smartphone or AI. Companies like Uber and OpenAI found massive opportunities by operating in legal gray areas where old regulations no longer made sense and their service provided immense consumer value.
Early ventures into legally ambiguous or "get rich quick" schemes can be an effective, albeit risky, training ground. This "gray hat phase" forces rapid learning in sales, marketing, and operations, providing valuable lessons that inform more legitimate, scalable businesses later on.
Prediction markets have existed for decades. Their recent popularity surge isn't due to a technological breakthrough but to success in legalizing them. The primary obstacle was always legal prohibition, not a lack of product-market fit or superior technology.
A visionary founder must be willing to shelve their ultimate, long-term product vision if the market isn't ready. The pragmatic approach is to pivot to an immediate, tangible customer problem. This builds a foundational business and necessary ecosystem trust, paving the way to realize the grander vision in the future.
While fast-moving, unregulated competitors like FTX garner hype, a deliberate, compliance-first approach builds a more resilient and defensible business in sectors like finance. This unsexy path is the key to building a lasting, mainstream company with a strong regulatory moat.
After a disastrous London launch was shut down in 72 hours for bypassing regulators, Bolt learned a critical lesson. Their 'move fast' approach from low-regulation markets didn't work everywhere. This failure forced them to create a dual strategy: optimizing for speed in some countries and for risk mitigation and compliance in others.