there is no better green flag than a product centric team

“Asking is a moment’s shame; not asking is a lifetime’s shame” — Japanese Proverb

Crypto's usage frontier is increasingly driven by stablecoin. Stablecoin's usage frontier is increasingly driven by Africans. No one is asking us why we invest in African stablecoin startups anymore; they're asking how they can too.

"aren't prediction markets this just gambling?" Gambling is entertainment without information gain. Prediction markets are information systems with incentives.

Kirsty Sharman Different timelines, risk tolerances, and fit of skills I suppose

Was literally thinking of the nuances of prediction markets moving towards perp contracts yesterday. Great perspective.

Health

Prediction Market Notional Volume reached $6.50B (+24.85%) last week. 🔹 Kalshi: $3.54B (+21.84%) 🔹 Polymarket: $2.48B (+25.51%) 🔹 Crypto.com: $170.86M (+21.43%) 🔹 Opinion: $118.18M (+46.14%) 🔹 Predict: $117.18M (+95.79%) 🔹 Limitless: $60.78M (+81.97%)

bullish on Limitless

Crypto price markets are the second largest category on Kalshi because they are recurring and pegged to a liquid underlying asset class Commodities is next

Sequoia's thesis that the next $1T company will sell work, not software, is the most important reframe in AI right now. The argument: if you sell a copilot, you're competing with every new model release. But if you sell the outcome — books closed, contracts reviewed, claims

Sometime in December, I and my friends Smart Israel Nurulmasih Muad'Dib Atreides decide to take the first step towards building a prediction market platform. our goal was to provide a superior user experience. right now, product is 70% done, community about a 100 people. follow Caesar Markets

me

Tokenization(this may be more commoditized and consumer oriented) or quantum computing

This is such a beautiful perspective.

Kalshi is doing ~$3B in weekly volume, up from ~$100M one year ago a16z.news/p/prediction-m…

Overhead in SF: "TBPN is just Cocomelon for VCs"

😭🤣

Prediction markets allow us to precisely quantify headlines. Over time, this should help reduce polarization in our news sources. 63% is not 100%. It's also not 0%.