Creating prediction markets (and suing the CFTC) with Tarek Mansour and Luana Lopes Lara
Most important take away
Kalshi chose to spend four years obtaining CFTC regulatory approval before operating, rather than launching offshore, and then sued the CFTC to win the right to offer election contracts. That legal victory in late 2024 unlocked explosive growth (11x in six months to $10.4B monthly volume by February), validating the strategy that regulated, onshore prediction markets can become a mainstream financial infrastructure for pricing real-world events.
Chapter Summaries
Co-founder dynamics and background
Tarek and Luana both studied math and CS at MIT with similar career paths but have complementary temperaments. Tarek is risk-averse and paranoid (trader mentality), while Luana is optimistic and risk-taking. This balance proved essential during the company’s hardest moments.
The regulatory-first approach and CFTC approval
Kalshi was founded in 2019 and deliberately chose to get regulated before operating, believing financial services require permission rather than forgiveness. It took three years to get CFTC approval and launch in 2022. Every contract is individually filed with the CFTC, which has 24 hours to block it.
Suing the CFTC over election markets
The CFTC blocked election contracts twice (end of 2022 and 2023) using what Kalshi calls a “pocket veto.” After layoffs, team attrition, and investor doubt, Luana pushed to sue the government. The board acknowledged it was a bad idea on paper but greenlit it. They won in late 2024, establishing that elections have economic impact and cannot be blocked under the Commodities Exchange Act’s prohibited categories (war, terrorism, assassination). Coinbase, SpaceX, Anduril, and Palantir have also sued their regulators.
Growth and marketplace dynamics
February volume hit $10.4 billion, up 11x in six months. Kalshi operates as an exchange and clearinghouse (like NYSE or CME), not a bookie. Brokers like Robinhood and Coinbase connect to Kalshi. The direct consumer app has dramatically outpaced broker-mediated growth as the brand has gone mainstream.
Market making and super forecasters
Less than 5% of matched maker orders come from traditional institutional market makers. Over 95% of liquidity is peer-to-peer from 2,000+ individual market makers, many of whom turned forecasting from a hobby into a full-time job. The best inflation forecaster on Kalshi is a person from Kansas with no prior financial markets experience.
AI and agentic trading
Increasing numbers of traders use AI agents, especially via the API. Kalshi launched Kalshi Research and is working with AI labs to create a benchmark for which models best predict the future. Fully autonomous, no-human-in-the-loop market making may not be here yet but is coming soon.
New market verticals
Kalshi is expanding into compute/GPU futures, collectibles (watches, bags), and derivatives on individual stock components (e.g., Nvidia GPU shipments vs. just NVDA stock). Their product growth roadmap has four pillars: breadth of topics, market structures (futures, swaps, options beyond binary), margin systems, and liquidity.
Insider trading and market integrity
Kalshi follows federal law: you cannot trade on information you have a confidentiality duty over. They go further by banning government officials and Congress members from trading on bills. They have a full surveillance division and recently fined two insider traders over five times their profits.
Sports contracts and the gambling debate
Kalshi argues their exchange model is fundamentally different from sports bookies: bookies profit from customer losses (roughly 10% rake), incentivize losers to return, and ban winners. Kalshi charges transaction fees (roughly 1% range), does not ban winners, and does not offer deposit bonuses to lure back losing users.
Prediction markets and political depolarization
Prediction markets may reduce polarization by providing a non-partisan, real-time feedback loop on candidates and policies, forcing participants to research rather than react tribally. Candidates can get granular, real-time signal on which specific policies resonate rather than a single win/lose verdict.
Policy vision
Kalshi is pro-innovation and pro-regulation. They advocate for banning insider trading (including by members of Congress), making all trade data publicly auditable, elevating customer protections as an industry standard, and keeping prediction markets onshore and regulated rather than pushing activity to unregulated offshore platforms.
Summary
Actionable insights and career advice:
- Regulatory-first can be a winning strategy in financial services. Kalshi spent four years getting regulated before operating. While competitors grew faster offshore initially, winning the legal and regulatory battle created a durable moat and unlocked institutional trust that offshore platforms cannot match.
- Suing your regulator is a viable last resort. When the CFTC repeatedly blocked election contracts, Kalshi sued and won. The advice: only do it when there is genuinely no other option, the law is clearly on your side, and the market you are fighting for is essential to your mission. Multiple major tech companies (Coinbase, SpaceX, Anduril, Palantir) have done the same.
- Complementary co-founder temperaments matter. Having one optimistic, risk-taking co-founder and one paranoid, risk-averse one created a productive tension that carried Kalshi through existential crises.
- Domain experts outside finance can be the best market makers. Kalshi’s top forecasters are often non-finance people with deep domain knowledge (a Kansas resident predicting inflation, an Ariana Grande superfan making $150K+ on music chart markets). This suggests a real opportunity for individuals with niche expertise to monetize their knowledge on prediction markets.
- The super forecaster economy is real. Over 2,000 individuals now market-make on Kalshi as a full-time or significant part-time job, providing 95%+ of liquidity. This is a genuinely new career path.
- AI agents are increasingly used for trading, especially via APIs. Kalshi is working on benchmarks to evaluate which AI models best predict real-world outcomes, a potentially important new AI evaluation framework.
Company-specific information:
- Kalshi: $10.4B monthly trading volume (Feb), 120 employees, growing 11x in 6 months. Exchange and clearinghouse model. Expanding into compute futures, collectibles derivatives, institutional block trades, international access, and margin systems. Broker partners include Robinhood. Launched Kalshi Research. Every contract individually filed with CFTC.
- Stripe: Hosts the Cheeky Pint podcast; Kalshi uses Stripe Connect for its multi-party payment flows.
- Robinhood: First broker partner to connect to Kalshi’s exchange.
- Coinbase: Another broker connected to Kalshi; also sued their primary regulator (SEC).