Build the AI systems funds run on

What you’ll do

• Build and ship agents that qualify, enrich, and file deals inside Attio and Affinity.
• Write the spec, decision log, and kill switches before an automation runs unattended against thousands of live records.
• Work across the stack: TypeScript, the Claude API, MCP, and the Attio, Affinity, and Stripe APIs.
• Turn each engagement into a case study and, where it generalizes, an open-source tool.

You might be a fit if you

• You've shipped production software with LLMs in the loop — not demos.
• You're comfortable owning a client relationship, not just a codebase.
• You treat other people's live data as sacred, and reach for dry runs and rollback trails by instinct.
• Bonus: you've worked in or around venture capital, or lived inside a CRM.

What you’ll do

• Turn real engagements into clear, teachable documentation a non-engineer partner at a fund can actually follow.
• Maintain the Fund Stack directory and ship small open-source tools that make the docs runnable.
• Write the Field Notes and script the videos that put 80x's methods in front of funds.
• Instrument what works: you'll live in the analytics and the AI-search audits and tell us what to build next.

You might be a fit if you

• You write clearly enough to teach a fund partner something technical without dumbing it down.
• You can read and ship code — you don't need an engineer to publish a working example.
• You have a portfolio of technical writing, developer relations, or open-source work.
• Bonus: you know Attio, Affinity, Claude, or the VC workflow firsthand.