Supermania

About Supermania

iGaming was not the industry I set out to work in. Before 2021, I worked in finance and business – agro companies, management consultancy and investment funds, none of which were remotely linked to the industry.

In 2021, I joined an investment fund focused on startups harnessing AI and machine learning. In the process, I had a chance encounter with an iGaming investor. This sparked a conversation that would change the course of my career. He pointed out that iGaming was dramatically underutilising its data potential. There was an opportunity here, and once we began exploring it, the thread just kept unravelling.

I started out as an adviser with the Playa, but was appointed the company’s CEO in 2024, a position I did not expect to find myself in, but an opportunity I have embraced with open arms. As a company, we provide AI personalisation solutions to businesses, something that was totally new to the market.

What is Supermania?

The company has also pursued partnerships outside the normal financial media. Its deals include relationships with major sports organizations and entertainment properties, signaling efforts to integrate prediction markets into mainstream content and information services. 

The conclusion of the Yahoo Finance deal comes as there is more talk about the use of prediction market data in journalism. Operators such as Polymarket and rival Kalshi have touted their markets as a way to get real-time information on how likely future events are to occur. 

However, some media industry observers have questioned whether trading activity can reliably stand in for broader public opinion. There are also concerns among critics over the growing links between news organizations and prediction platforms. 

About Supermania

He compares the effect with sportsbook cash-out features, which gave customers more apparent control over their bets but may also have encouraged greater spending. The crucial difference is that an exchange customer can be facing a specialist whose entire business is identifying inaccurately priced contracts.

Kendrick sees a warning in the history of betting exchanges. In their early growth phase, there was sufficient retail liquidity for numerous market makers to profit. As that retail pool weakened, the sharper firms increasingly found themselves trading against one another.

His analogy is a poker table at which the weaker participants sustain the game. If those players disappear, the fourth-best professional at the table can suddenly become a loser because only the three strongest remain.