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Hedge fund for ads
Advertising today is like trading in the 1980s pits: archaic, manual, and iterative guesswork. Humans update bids and keywords with noisy, delayed data using simple if-else rules that both break at scale and ignore stochasticity. Laurence advertises like modern hedge funds trade markets, driving a 15-40% improvement in net profit for Amazon brands within a month of onboarding.
Built the Data Science Agent at Google. Grew Facebook new user retention by 18% by tuning Facebook's friending model. Third engineer at health-tech startup. Math+CS & AI research at Cornell. Ex-national team and semi-pro soccer goalie. Washed dishes and waited tables to pay for college. Financially independent at 17. National team & semi-pro soccer goalie. Taught myself to code at 18. Chemistry research at 15. CEO
Researcher at Jump Trading, building quantitative models to execute 50% of all global crypto trades. $250,000 in high-stakes professional poker winnings. Founded a crypto investing platform at 18. ETH Zurich Electrical Engineering Chief Scientist
We set bids, budgets, and keyword targets like quants trade markets
Laurence builds automated Amazon PPC optimization using reinforcement learning and transformer models to manage bids, budgets, and keyword targets for brands on Amazon, aiming to improve profitability and revenue. The launch highlights live spend automation totaling $10 million with a claimed 15-20% increase in advertising profits.
Agent harnesses for asset managers
AI-run consumer brands
