Leo Chan is the founder and Chief Executive Officer of Sportstensor, a subnet on the Bittensor network, and Almanac Market, a prediction market platform. Chan is known for his public commentary on the regulation, valuation, and future potential of the prediction market industry. ^{[1] [2]}​

Education

Chan attended the University of New South Wales (UNSW) from 2009 to 2013. He graduated with a Bachelor of Industrial Design, specializing in Industrial and Product Design. ^{[3] [1] [2]}​

Career Sportstensor

​Sportstensor is a subnet on the Bittensor network, which Chan describes as representing the "ethos of Bittensor." As founder and CEO, Chan has been actively involved in its development and promotion. On April 15, 2025, he presented Sportstensor and the broader Bittensor network to the venture fund of a professional NBA team. In October 2025, he was invited by a community member to present the project at an event in Hong Kong. ^[1]​

Almanac Market

On October 1, 2025, Chan officially announced his second venture, Almanac Market. The platform is a prediction market with a stated mission of "incentivizing truth in prediction markets." Promotional materials for the launch highlighted weekly rewards of up to $100,000 for users. Chan's involvement in the prediction market space extends beyond his own company; in September 2025, he noted that the sector was "absolutely booming" and mentioned having conversations with teams from other major platforms, including Polymarket and Kalshi. ^[1]​

Views and Commentary

Chan is an active commentator on the prediction market industry, offering opinions on its regulatory landscape, economic justification, and long-term potential. His views were detailed in an October 2025 article. ^[2]​

On Regulation and Governance

Chan has advocated for a unified federal regulatory framework for prediction markets in the United States. He argued that fragmented, state-level rules, similar to those seen in sports betting, create confusion for both platforms and users. In his view, a consistent federal approach would provide necessary clarity. He suggested that because prediction markets behave "much like options," they should be supervised under a regulatory framework comparable to that used for financial options.

Globally, Chan identified the United Kingdom as a jurisdiction with significant potential for the growth of prediction markets. He cited the country's "balanced gambling laws and 'hyper-financialized' culture" as key factors that could foster early adoption. ^[2]​

On Market Valuation

Chan has defended the high valuations of prediction market platforms against claims of being purely speculative. He asserted that such valuations are justified by the technology's long-term potential to "restructure information flow across global finance." Rather than focusing on short-term earnings, he believes the value lies in the ability to monetize "collective foresight" on a large scale. ^[2]​

On Market Growth and Adoption

According to Chan, user adoption in prediction markets often occurs in spikes driven by major external events. He identified elections, major sports seasons, and significant breaking news as key catalysts that attract new users to these platforms. ^[2]​

He has expressed strong optimism about the financial opportunities within the sector. On October 2, 2025, he stated, "I genuinely believe that if you use 12h per day to study prediction markets 7 days per week for the next 3 months, you might be able to turn 100k or even more." A month earlier, on September 10, 2025, he commented on the industry's momentum, saying, "Prediction markets space is absolutely booming... There is no stopping this train. Position yourself accordingly." ^[1]​

On Future Potential

Chan has speculated on the long-term societal impact of prediction markets, suggesting they could lead to the development of "futarchy." This is a theoretical form of governance where public policies are determined by the outcomes of prediction markets, with participants betting on which policies will yield the most successful results, rather than through traditional voting methods. ^[2]​