Lukas Biewald

Aaron Katz × Lukas Biewald

ClickHouse reached product-market evidence before its 2021 formation, then built a serverless, engineer-led cloud business reporting more than 3,000 customers and hundreds added monthly.AI agents could provision ClickHouse alongside Postgres, supporting infrastructure demand even as software multiples reset, while Datadog and warehouse incumbents remain formidable and database-grade reliability, geopolitical exposure, and execution stay central risks.

Mike Cannon-Brookes × Lukas Biewald

Atlassian’s market extends beyond developers, with Jira and Rovo connecting technical and business workflows through a permission-aware teamwork graph exceeding 100 billion objects and connections.Cannon-Brookes expects agents to remove workflow steps rather than eliminate workflows, while faster code generation still requires human review, accountability, and evidence of realized productivity.Atlassian’s “grow longer, not grow faster” doctrine prioritizes durable demand and future investment alongside roughly 21% revenue growth, 26% cloud growth, and 40% RPO growth.

Lukas Biewald × Martin Shkreli

AI’s largest biopharma opportunity may be target selection rather than molecule generation, with an LLM reading roughly 36-38 million PubMed papers to identify overlooked clinical opportunities.BTK illustrates the mechanism: valuable research sat published for 15-20 years, while clinical trials still consume 50-70% of total cost and development cycles approach ten years.Shkreli’s finance suite found millions of dollars in revenue after abandoning forced AI positioning, but breaking-news advantages may diffuse across Wall Street within six months to a year.

Lukas Biewald × Christopher Ahlberg

Mastercard’s $2.65 billion acquisition gives Recorded Future a long-term home to combine threat intelligence with financial intelligence while it continues operating standalone.Cybercrime’s specialized supply chain, 80/20 ransomware economics, multilingual AI, and Ukraine’s defensive data flywheel point to scalable intelligence demand, but autonomous offense and customer-screening choices remain risks.

Lukas Biewald × David Cahn

DeepSeek suggests GPT-4 parity can emerge with cheaper models and challenges the assumption that ever-larger data centers will produce the next breakthrough.Cahn estimates one year of infrastructure investment requires roughly $600 billion of downstream revenue, while Microsoft’s $80 billion commitment and application-specific AI search offer competing signals for capital allocation.