Kalshi vs. Everyone: Co-Founder Luana Lopes Lara on the lawsuits and the long game

Summary of Kalshi vs. Everyone: Co-Founder Luana Lopes Lara on the lawsuits and the long game

by WaitWhat

34m•October 6, 2026

Overview of Kalshi vs. Everyone: Co-Founder Luana Lopes Lara on the lawsuits and the long game

This episode of Rapid Response features Kalshi co-founder, president, and COO Luana Lopes Lara discussing the company’s explosive growth, its legal battles with states and regulators, and why she believes prediction markets are fundamentally different from sports betting. She makes the case that Kalshi is building a regulated exchange for forecasting the future—one that can serve traders, hedgers, and businesses seeking real-time market intelligence.

What Kalshi Is Trying to Build

Kalshi’s core thesis is that any credible view about the future should be tradable in a regulated market.

Key ideas

  • Kalshi is an exchange, not a sportsbook.
  • Users trade against each other, not against Kalshi.
  • The company earns transaction fees, not customer losses.
  • The long-term goal is to become the largest derivatives exchange in the world.

Luana frames the mission as bringing “every thesis about the future” into markets, with strong emphasis on transparency, liquidity, and price discovery.

Growth, Valuation, and the “Overnight Success” That Wasn’t

Although Kalshi’s recent surge looks sudden, Luana says the company spent years getting licensed and building infrastructure before real growth kicked in.

Takeaways

  • Founded in 2018, Kalshi took about four years to launch due to regulatory work.
  • The company’s big inflection point came after it won legal battles that expanded what it could offer.
  • Rapid scaling didn’t change the company’s mindset much; Luana says they still operate with an early-stage, underdog mentality.

She stresses that the company’s fast rise came from compounded effort, not luck alone.

The Legal Battles: Why Kalshi Says It’s Different

A major part of the interview focuses on Kalshi’s ongoing lawsuits with states and regulatory disputes over whether its contracts amount to gambling.

Luana’s argument

  • Kalshi is federally regulated and operates as an exchange.
  • Sportsbooks make money when customers lose; Kalshi does not.
  • Kalshi supports price competition and doesn’t set odds the way a sportsbook does.
  • State-by-state restrictions would hurt liquidity and make the market less useful.

She argues that prediction markets should be treated like financial exchanges, not gambling platforms, because the underlying mechanics are fundamentally different.

Prediction Markets vs. Sports Betting

The episode repeatedly returns to the question: Is Kalshi just sports betting in disguise?

Luana’s answer is no.

Differences she emphasizes

  • Speculation exists everywhere in finance: stocks, crypto, options, futures.
  • Kalshi markets can also be used for hedging, which she says is a major differentiator.
  • Sportsbooks have a built-in incentive structure tied to customer losses; Kalshi does not.
  • Users often treat Kalshi more like a real-time information source than a betting app.

She also notes that DraftKings’ CEO has said sports betting and prediction markets are not cannibalizing each other, suggesting both can coexist.

Hedging as a Major Use Case

One of the strongest themes is Kalshi’s growing role in hedging risk, especially for small businesses.

Examples mentioned

  • A bar using Kalshi to hedge a Knicks championship payout.
  • A goat farmer hedging against legislation that would raise labor costs.
  • Small businesses hedging:
    • gas prices
    • diesel
    • weather
    • politics
    • elections

Luana argues that many small businesses lack access to traditional hedging tools and that Kalshi can make these financial tools more accessible.

Why Prediction Markets Can Be More Accurate Than Polls

Luana makes a detailed case for prediction markets as a forecasting tool.

Why they work

  • People are incentivized to research more carefully when money is at stake.
  • Markets aggregate distributed information from many participants.
  • Prices reflect competition, which sharpens accuracy.
  • They update in real time as news changes.

She also points to Kalshi’s internal calibration studies, saying prediction market probabilities have been shown to be highly accurate—especially as events get closer to resolution.

Elections, Sentiment, and What Kalshi Can Reveal

The conversation includes how Kalshi interprets political forecasting, especially around U.S. elections.

Notable points

  • Kalshi has election markets for things like:
    • Senate control
    • House control
    • overall balance of power
  • Luana says prediction markets offer a bottom-up aggregation of sentiment, unlike polling or editorial forecasting.
  • The company introduced a balance-of-power index to synthesize many election markets into one view.

She also warns that people often misunderstand probabilities: a 60% or 70% chance is not certainty.

Insider Trading, Surveillance, and Market Integrity

A substantial portion of the interview covers market abuse, surveillance, and Kalshi’s efforts to police insider trading.

Kalshi’s stance

  • Insider trading is prohibited.
  • The company has a surveillance system that monitors:
    • trade patterns
    • anomalies
    • account behavior
    • user identity and verification data
  • The team has already brought enforcement cases and banned violators.

Luana argues that Kalshi can actually be easier to surveil than offshore markets because it knows who the users are. She contrasts that with offshore platforms, where anonymity makes abuse harder to detect.

Margin Trading and Risk

Kalshi recently introduced margin trading, and Luana addresses the concern that this could increase danger.

Her response

  • Margin required extensive work with regulators and clearing systems.
  • It is not available to everyone; users must apply and qualify.
  • Margin is necessary for capital efficiency and institutional adoption.
  • Similar leverage structures already exist across traditional financial markets.

Her view is that margin is a normal part of serious financial infrastructure, not a reckless addition.

AI Agents and Automation on Kalshi

Luana says Kalshi allows API-based trading, meaning AI agents can participate as long as they follow the same rules as humans.

Main idea

  • Kalshi is open to automation if it improves market quality.
  • The company wants more informed participants, whether human or machine.
  • If AI agents help produce better pricing and forecasting, that aligns with Kalshi’s mission.

Personal Background: Ballet, Discipline, and Business

The interview closes with Luana reflecting on her background as a trained ballerina and what it taught her about leadership.

Lessons from ballet

  • Discipline matters more than moods.
  • Leaders need to be emotionally steady.
  • Pushing too hard can lead to injury—physically in ballet, or strategically in business.
  • Sometimes you need to pace yourself to stay effective long term.

She connects this mindset to company building: strong leadership means knowing when to push and when to recover.

The Timothée Chalamet Ad and Marketing Strategy

Bob Safian asks about Kalshi’s strange, memorable ad featuring Timothée Chalamet in a dentist chair.

Luana’s take

  • The ad was intentionally odd and attention-grabbing.
  • Kalshi wanted to challenge conventional advertising.
  • It worked better than many of their other campaigns.
  • The goal was to help explain Kalshi’s story in a distinctive way.

Main Takeaways

  • Kalshi sees itself as a regulated financial exchange, not a gambling platform.
  • Its biggest strengths are liquidity, transparency, hedging, and real-time forecasting.
  • The company is fighting legal and public perception battles, but remains confident in its position.
  • Prediction markets, in Luana’s view, are useful not just for traders but for businesses, institutions, and everyday people trying to manage uncertainty.
  • The broader mission is ambitious: make markets for every meaningful future event.

Notable Quote

“We want every new financial innovation, every new financial structure to be on Kalshi first, or at least a very close second.”

Bottom Line

This episode presents Kalshi as more than a controversial prediction platform. Luana Lopes Lara argues it is building a new kind of market infrastructure—one that turns uncertainty into a tradable, regulated, and potentially more truthful system for forecasting the future. Whether that vision wins in court and in public opinion remains to be seen, but the company’s ambitions are unmistakably large.