Sequoia leads $30M seed for Catalyst, AI agents that trade on your ideas
jzlegion · x · 2026-10-09
Sequoia Capital profiles Catalyst, the AI investing startup it is backing: describe a thesis in plain language (e.g., coffee prices rising) and its agents research signals, find optimal trades across venues, backtest, and execute with safety controls. Founders Dylan Iskandar and Justin Zheng argue retail investing evolved access but not sophistication — finance may be the last frontier for AI agents.
Related event: AI Trading Agent Catalyst Raises $30M Seed Led by Sequoia(4 posts)→
More from coding & agent
- Temporal runs the Pi coding agent on durable execution to survive machine failures — francesc · 2026-10-09
- Zed CEO Nathan Soller: AI-generated unit tests are slop, integration tests are the right middle ground — zeeg · 2026-10-09
- Jev pitched as the fastest AI model for agents: millisecond decisions at near-zero cost — Arindam_1729 · 2026-10-09
- Devs debate whether LLMs should write tests: 'tests expose things memory can't hold' — ivan_bezdomny · 2026-10-09
- Musk shows Grok agent setting up 16 emulators on a handheld with one prompt — elonmusk · 2026-10-09
- MCPtoAI: open-source client shares MCP tools across AI models while credentials stay on-device — abktya · 2026-10-09