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State of The Market, The Prediction Market Wars & Kraken Pursues Aave

Saturday, 27 June 2026 · 4 min read · Listen to the episode ↗

Polymarket and Kalshi are both on pace for their best months ever, with Kalshi running roughly 1.8 to 2 times Polymarket by volume and reportedly weighing a raise at a 40 billion dollar valuation, though speakers questioned whether that figure is achievable given expected fee compression.

Polymarket and Kalshi are the two dominant prediction market platforms, and both are expected to post their best months ever in the current period. Kalshi is approximately 1.8 to 2 times the size of Polymarket by recent volume and is reportedly considering raising at a 40 billion dollar valuation, though speakers expressed uncertainty about whether that figure is achievable. Kalshi is further ahead in B2B clearing, institutional infrastructure, and broker-facing products, while Polymarket remains more direct-to-consumer. Kalshi take rates run roughly 1.5 to 2 times above Polymarket take rates, and fee compression is expected, meaning investors modeling current fundraising rounds need to update their assumptions.

Rob attributed the Wall Street Journal hit piece on Polymarket to competitor-driven negative press placement, arguing that paper trading and influencer promotion of gains are standard practices across crypto exchanges, sports betting platforms, and direct-to-consumer trading companies broadly, including Kalshi itself. Over 90 percent of Kalshi volume is sports-related when parlays are included, while sports volume on Polymarket sits at roughly 55 to 60 percent partly driven by the World Cup. Despite this, investors in both platforms view sports as secondary, with the larger prize seen in clearing and institutional trading. Block trades in compute markets have already occurred, with Falcon X executing on Polymarket and Galaxy executing on Kalshi. Insurance-linked contracts are being discussed at an early stage, mostly brokered through a prime and cleared on prediction market platforms, and the clearing opportunity is considered very large but underappreciated publicly. DraftKings reported 3.4 billion dollars in annualized prediction market volume and trades at roughly 11 billion dollars in market cap, and both Polymarket and Kalshi did more actual volume last week than that annualized figure. Kalshi also launched the first perpetuals in the US in partnership with Coinbase. Meta and Zuckerberg are reported to have directed the company to build a prediction markets app, though Rob said he is very bearish on Meta building its own exchange.

CoinDesk reported that Kraken is in talks to acquire a 15 percent stake in Aave at a 385 million dollar valuation, representing roughly a 70 percent discount to Aave's approximately 1.4 billion dollar market cap. The reported deal terms were 35,000 ETH from Kraken in exchange for 250,000 Aave tokens and a 15 percent common equity stake in Aave Group. Aave's founder Stani disputed that Aave would sell tokens at a 70 percent discount and clarified that 100 percent of Aave protocol and GHO revenue goes to the Aave token rather than to Aave Labs, though Aave Labs holds a token allocation that multiple market participants have discussed purchasing. Someone with knowledge of the situation said the specific details in the CoinDesk article are wrong, and speakers noted that deal leaks of this kind typically signal one party is trying to pressure the other, complicate the deal, or shape perception. The pursuit is coming from Payward Asset Management, described as the first deal from that new arm, with Payward being the parent company seeking to IPO and Kraken its dominant subsidiary. Kraken secondary market pricing is now reportedly in the range of 10 to 12 billion dollars, down from a last fundraising round valuation of approximately 15 billion dollars, with crypto trading down roughly 40 percent across the industry this year. Aave is described as interested only in a strategic partner rather than a financial investor because it does not need capital. The strategic logic is that exchanges want to deepen relationships with on-chain lenders to offer DeFi or CeDeFi experiences to users, and if Kraken drives 10 billion dollars of deposits into Aave, both parties benefit financially. The competition between Aave and Morpho is compared in intensity to Uber versus Lyft, with Morpho powering Revolut and Aave powering Kraken described as the dream integration outcomes for each protocol.

Crypto deal count in Q2 2026 stands at 147, the lowest quarterly figure since Q4 2020, and fundraising hit its lowest monthly level in February, the lowest since September 2024. Later-stage rounds are showing more activity while pre-seed remains very dry, and Rob described the early-stage crypto-native market as really tough with founder quality low relative to the prior five to six years. Token trading and crypto trading is down 40 percent on the year for exchange and capital market companies, and exchanges are launching real world assets, equities, prediction markets, and pre-IPO products to offset those declines.

Rob argued that payments, stablecoins, and tokenized assets are growing regardless of token price movements, with approximately 30 public companies having done RFPs to launch some form of stablecoin business following passage of the Genius Act. He compared the current stablecoin moment in fintech to where AI was roughly a year and a half ago, with boards now routinely asking about their stablecoin strategy. Jay cautioned that the vast majority of stablecoin transfer volume is still bots trading against each other on chain, with roughly 90 percent of Solana activity falling into that category, and that adjusted volume figures from Allium, Visa, and Artemis remain a work in progress. Yano argued that crypto markets cannot recover without some rollover in AI because AI has absorbed too much capital and attention, and Rob acknowledged that if a significant AI rollover is required for crypto to recover, crypto markets may remain suppressed for some time.

This summary was generated from the episode transcript and can contain mistakes.