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The volume is not only seen across NFL markets, but also on those in college football, which is practically a religion in Texas. When Ohio State faced Texas in a Top 5 matchup on 12 September, volume surpassed 50.7 million contracts traded, according to Odds Shopper, a prediction market tracking site. The robust activity set the stage for an intense legislative hearing three days later in the Texas Senate.
The 62-minute hearing featuring Kalshi and a prominent lobbyist from the American Gaming Association provided a blueprint for the state’s evaluation of prediction markets next year. Before the calendar turns to 2027, though, stakeholders will monitor races for governor, attorney general and the US Senate on election night. The results in all three Texas races will likely have a major impact on the future of prediction markets inside the state.
Convened by Texas State Senator Bryan Hughes, the hearing in the Senate Committee on State Affairs examined the relationship between federally regulated derivatives markets and state-prohibited gambling. Research from Eilers & Krejcik Gaming in April found that 43% of activity from sports event contracts came from two states, Texas and California. A separate breakout of Texas activity alone is not publicly available.
What is Dinosaur Tycoon?
“The rollout of the regulation was super positive,” Rossi says. “I believe that the Peruvian regulation is one of the best regulations in Latin America. [It’s] flexible, modern, business-friendly. The regulator has demonstrated a commitment to creating a safe and transparent market environment, and there’s a great relationship between the regulator and the operators.”
Escobar sees Peru’s relatively nascent regulated market as an increasingly attractive proposition for operators, pointing to strong player engagement and digital adoption.
“Considering that the regulated market has only been in place for just over two years, its implementation has been very positive,” she declares.
What is Dinosaur Tycoon?
“During the hybrid period in Q1, Cubeia solved 259 issues. Once it moved to the AI-driven process, that figure rose to 421 – a 62% increase. Larger projects increased from 17 to 58. So the answer is yes: moving to AI-driven development has increased our output tremendously,” Grenstad says.
But the more important question now is what Cubeia does with that capacity. “Because we’re not spending as much time coding, we’re spending more time on the business: talking about value and understanding the domain,” he says.
Rather than simply building what is requested, teams are increasingly expected to understand why something is being built and what value it should create.