4
Core workflows
Sourcing, diligence, IC memo generation, and portfolio monitoring are the first operating lanes.
Archie
AI analyst for venture capital funds
Archie turns sourcing signals, founder notes, market data, diligence artifacts, and partner feedback into a single operating layer for investment teams. The first release establishes the product foundation for analyst workflows across sourcing, evaluation, memo creation, and portfolio monitoring.
4
Sourcing, diligence, IC memo generation, and portfolio monitoring are the first operating lanes.
1
A unified context layer is the target system for company data, transcripts, docs, and market signals.
∞
Screening briefs, partner updates, diligence summaries, and investment memos should all resolve from the same research spine.
Archie centralizes raw venture inputs and turns them into decision-ready outputs without forcing analysts to rebuild context in every tool.
01
Aggregate inbound and outbound deal signals, score them against thesis filters, and surface the highest-leverage companies first.
02
Coordinate research across founder, market, product, and financial dimensions while highlighting missing evidence.
03
Draft investment notes and IC memos from reusable prompt assets tied to the same company context and evidence chain.
04
Track key company updates, extract risk signals, and prepare partner-ready check-in briefs over time.
The repo is set up as a Next.js 14 App Router project with TypeScript, Tailwind CSS, and dedicated folders for product code, agent logic, and prompt assets.
/app
App Router pages, layouts, and route handlers for the user-facing Archie experience.
/components
Reusable UI components that keep future product work composable and fast to extend.
/lib
Typed configuration, utilities, domain models, and helpers used across the application.
/agents
Home for workflow specs, registries, and execution patterns for Archie's analyst agents.
/prompts
Versioned prompt templates and system instructions that support repeatable VC workflows.