Conductor
Building the primary user interface for human AI-managers. Conductor is a Mac app that lets developers run a team of coding agents (Claude Code and Codex) in parallel, treating each agent as an isolated workspace with automated git worktree management.
At a Glance
- Software engineers and developers
- Engineering teams at tech companies
- Individual developers using AI coding assistants
- Startups and technology companies
- +1 more
AI Tools by Conductor
(1)
Conductor
Parallel AI Coding Agents for Mac
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Latest News
Checks tab launched - unified place to track everything before merging
Claude can now comment on your code - diff tools for code review
Conductor now asks questions - interactive multiple-choice support for agents
.context directory introduced for sharing context between agents
Products & Services
Mac app for running multiple AI coding agents (Claude Code and Codex) in parallel. Each agent gets an isolated copy of your codebase using git worktrees. Provides a visual dashboard to see what agents are working on, review changes, and merge code. Includes features like automated PR creation, acceptance testing integration, diff-first review model, GitHub integration, Linear integration, terminal context, plan mode, and MCP server support.
Market Position
Conductor positions itself as the first AI orchestrator - a new product category for managing multiple coding agents in parallel. While tools like Cursor and other AI code editors focus on single-agent experiences, Conductor enables developers to run many agents simultaneously with proper isolation and conflict management. The company emphasizes being the primary user interface for human AI-managers as coding agents evolve to handle senior-level tasks. They built it using their own product (dogfooding) and focus on Mac-native experience with deep system integration.
Leadership
Founders
Charlie Holtz
CEO. Previously worked at Replicate where he led the Hacker in Residence team and led growth initiatives. Before that, he was a Quantitative Researcher at Point72 on the Cognitive and Decision Sciences team. He also worked as a Forward Deployed Software Engineer at ActionIQ and as a Research Assistant at Brown University in the Serre Lab focusing on computational vision. Education: BS with Honors in Computational Cognitive Neuroscience from Brown University, and participated in the Design Discovery program at Harvard University Graduate School of Design. Met co-founder Jackson de Campos playing ultimate frisbee at Brown University.
Jackson de Campos
CTO. Previously worked at Netflix where he built machine learning infrastructure for show artwork and data infrastructure. Met co-founder Charlie Holtz playing ultimate frisbee at Brown University.
Executive Team
Charlie Holtz
CEO & Co-founder
Previously at Replicate (Hacker in Residence, Growth), Point72 (Quantitative Researcher). Brown University (Computational Cognitive Neuroscience).
Jackson de Campos
CTO & Co-founder
Previously at Netflix (ML infrastructure for show artwork and data infrastructure). Brown University.
Board of Directors
Founding Story
The founders started Conductor to create an elite, high-standard work environment where they could do their best work in person. They previously built Melty, an open-source AI code editor. After working on Melty through Y Combinator's Summer 2024 batch, they evolved the product into Conductor. The company culture is described as being like an elite sports team, with the team working in person approximately five days a week in San Francisco. They believe that as coding agents evolve from junior to senior-level tasks, the AI orchestrator will become the central tool for software development, and their goal is to define and win the AI orchestrator product category.
Business Model
Revenue Model
Free product model - Conductor is completely free with no subscriptions, tiered pricing, or feature gates. Users provide their own Claude Code login (via Pro/Max plans or API keys) and pay AI providers directly for usage. The orchestration tool itself has no cost. The company raised venture capital funding to support development.
Pricing Tiers
Complete access to all features. Users bring their own Claude Code or OpenAI API credentials and pay providers directly for AI usage.
Target Markets
- Software engineers and developers
- Engineering teams at tech companies
- Individual developers using AI coding assistants
- Startups and technology companies
- 10x engineers and highly productive developers
- Parallel feature development across multiple branches
- Running multiple coding agents simultaneously without conflicts
- Managing multiple AI coding assistants in one interface
- Building software with AI pair programming at scale
- Conducting code reviews with AI assistance
- Managing complex multi-feature development workflows
- Linear
- Vercel
- Ramp
- Notion