I built this because Haseeb is the rare crypto VC who tells you the whole thesis on the day he's pricing it, and most allocators are still finding out from a podcast clip a week later. By the time the clip is making the rounds, the trade is in the LP letter.
Dragonfly's roster reads like a cross-border markets desk: Haseeb sets cycle theory and market-structure framing. Tom Schmidt goes deep on DeFi primitive design and MEV. Rob Hadick brings the TradFi-fluent voice — stablecoins, payments, capital-markets onramps from someone who actually built deals at Goldman and PJT. Lindsay drives the regulatory and policy push (those CFTC comment letters are not accidents). Robbie writes the long-form research that becomes the firm's public memo. Watching them as one voice flattens it. Watching them through a single extraction lens, with a confidence-scored knowledge graph behind it, lets you read where the firm is concentrating bets *before* the announcements.
The operator I built this for is the DeFi protocol founder pricing a Series A, the trader watching for the next consensus thesis, or the agent allocating across crypto-native financial primitives. The move is timing — front-running the cycle's next narrative wave, not chasing it. If you can read the partner roster the way they read each other, you get the next thesis cycle a quarter early. That's the entire trade.
The bet: Dragonfly punches above its weight in narrative because the partners are unusually willing to publish their actual model. The output is legible. Track what they keep returning to and you're inside the portfolio shape.
This package starts with the YouTube channel turned on and seven Twitter handles dormant. Flip a handle when you want a specific layer louder. The cost gate is one JSON commit.
— Bas Janssen, founder LemuriaOS