Problem

Linzumi addresses the coordination bottleneck created when software teams use multiple AI coding agents. Although agents can write, test, and ship code around the clock, the scarce resource has shifted to human decisions and verification: engineers must keep track of approvals, context, diffs, and next steps across terminals, pull requests, and team chat. When a decision is missed, an agent can sit idle; when the right decision reaches the right person at the right time, Linzumi argues that teams can unlock dramatically greater throughput, potentially making an existing team operate like one twice its size.

The primary use case is an engineering team directing dozens of coding agents in parallel while keeping humans involved at the points that require judgment. Linzumi is designed to prevent agents from stalling, catch bad approaches before they become expensive to fix, and let one operator coordinate more software work without adding equivalent headcount.

Product / Service

Linzumi is a chat-first collaboration and control layer for AI coding agents. A team connects its machine, starts work from familiar chat channels, and monitors or reviews each agent from a laptop or phone. The agents run on the team’s own machine rather than an external hosted environment, while teammates see the work in shared threads. Linzumi also maintains the decisions and rationale around each task and provides a decision inbox that surfaces the calls requiring human attention. Codex is supported, with Claude Code described as coming soon.

The product is delivered through a macOS beta app and is free to start, with a flat $100-per-month Company plan and an Enterprise offering that includes options such as self-hosting, VPC or customer-cloud deployment, SSO, audit logs, and custom policies. Its value proposition combines remote convenience and team visibility with local execution, explicit approval gates for sensitive actions such as credential access and repository writes, and a shared record of what agents did and why.

Market

Linzumi competes in AI developer tools, more specifically the emerging market for secure, collaborative orchestration of AI coding-agent fleets. Its differentiation is the combination of team chat, parallel agent management, and execution on the customer’s own machines. The closest substitutes include hosted AI coding platforms such as Cursor and Replit Agent, purely local agent tools, traditional IDE-based manual coordination, and ordinary team chat used alongside separate AI tools; Codex and Claude Code are currently integrations or agent backends rather than clearly disclosed direct competitors.

Public traction is early-stage rather than scaled: Linzumi was founded in 2025 by Sean Grove, is a Spring 2026 Y Combinator company with three employees, launched publicly through YC in June 2026, and is currently presented as a macOS beta. The company lists backing from Y Combinator, Matrix, SV Angel, Decibel, Pioneer Fund, and Axiom Partners, and is soliciting engineering teams to try the product for free. The available materials do not disclose customer counts, usage, or revenue, so Linzumi is best characterized as pre-scale and in commercial beta; they do not establish conclusively whether it is technically pre-revenue.