Loading organizations...
Loading organizations...

Building interfaces for managing AI coding agents to do good work
Manaflow has raised $500K across 1 funding round.
Key people at Manaflow.
Manaflow was founded in 2024 by Lawrence Chen (Founder) and Austin Wang (Founder).
Manaflow has raised $500K in total across 1 funding round.
Manaflow is building new interfaces and tools for the future of software engineering. We're the creators of cmux, a universal AI coding agent manager that supports Claude Code, Codex, Gemini CLI, Amp, Opencode, and other coding CLIs.
cmux helps software engineers context switch between tasks, deploy coding agents safely in cloud sandboxes, and verify AI-written code through preview environments.
You can use cmux like Jira, Asana, or GitHub Issues, writing a bunch of tickets like a todos list – except cmux will deploy AI coding agents of your choice to complete the tickets for you.
For every task that you start, cmux will:
- Start up dev environments that include VS Code + browser previews for any dev servers so you can visually verify and test live changes fast
- Spin up cloud sandboxes to safely deploy AI coding agents in YOLO mode so they can move fast and NOT break things
- Evaluate all of the code diffs for all of your selected AI coding agents when they finish their tasks and choose the best version for you
The future of software engineering will be managing, verifying, and reviewing 10+ coding tasks done by AI agents simultaneously. Human software engineers will become software engineering managers with AI software engineering teams behind them. Manaflow is building these interfaces to enable engineers to become 10x more productive with AI.
cmux is an open-source app, and you can also bring your own API keys or OpenAI and Claude Max subscriptions. You can download cmux at https://www.cmux.dev/.
Key people at Manaflow.
Manaflow is a platform that builds intuitive interfaces for managing AI coding agents to automate and streamline repetitive office workflows, especially those involving spreadsheets and internal tools. Its flagship product, cmux, acts as a universal AI coding agent manager that enables small-to-mid-sized businesses (SMBs) to automate complex, manual tasks such as data processing, emailing, and API interactions with minimal technical knowledge. By transforming manual spreadsheet and software tasks into automated end-to-end workflows, Manaflow helps SMBs scale efficiently and reduce errors, leveling the playing field against larger, tech-savvy corporations[1][3][5].
The product primarily serves SMBs and enterprises that rely heavily on manual workflows and spreadsheets for daily operations. It solves the problem of time-consuming, error-prone manual processes by enabling users to program AI agents using natural language in a spreadsheet-like interface called a *Manasheet*. This approach democratizes automation, allowing non-technical users to build and manage workflows that previously required engineering resources. Manaflow has demonstrated strong growth momentum through real-world use cases that drastically reduce manual work hours and improve operational efficiency[1][3][5].
Manaflow was founded by Austin Wang, a Yale graduate with a background in physics, computer science, and economics, who previously worked at Google, NASA JPL, and Chess.com. The idea emerged from extensive customer discovery—over 250 calls with business managers and operators revealed a common pain point: SMBs were overwhelmed by manual workflows reliant on Excel and third-party apps, which hindered scalability and efficiency. Initially a side project, Manaflow evolved into a startup as interest and demand grew from businesses impressed by its automation capabilities[1][3].
The company’s early traction came from demonstrating how its platform could automate complex workflows, such as video processing and client communications, reducing a 20-hour weekly manual task to just 20 minutes. This validation helped Manaflow gain enterprise and SMB customers, solidifying its product-market fit[1].
Manaflow rides the wave of AI-driven automation and no-code/low-code platforms that empower businesses to digitize and optimize internal operations without heavy engineering investment. The timing is critical as SMBs increasingly seek scalable solutions to compete with larger enterprises that have dedicated automation teams. Market forces such as the proliferation of AI agents, the growing complexity of business data, and the demand for operational efficiency favor Manaflow’s approach.
By enabling AI agents to manage internal tools and workflows through natural language and spreadsheet interfaces, Manaflow influences the broader ecosystem by democratizing automation and accelerating AI adoption in business operations. This contributes to a shift where AI is not just a backend technology but an interactive, user-friendly tool embedded in everyday workflows[1][2][3][5].
Looking ahead, Manaflow is well-positioned to expand its impact by deepening AI capabilities, broadening its template ecosystem, and enhancing integrations with enterprise systems. Trends such as increasing AI literacy, demand for hyperautomation, and the rise of AI agents as digital workers will shape its growth trajectory.
Manaflow’s influence is likely to evolve from a workflow automation tool to a comprehensive platform for AI-driven business operations, potentially incorporating more advanced AI reasoning, predictive analytics, and cross-organizational collaboration features. This evolution will further empower SMBs to scale efficiently and compete in an AI-first economy, fulfilling its mission to make automation accessible and impactful for underdog businesses[1][3][5].
Manaflow was founded in 2024 by Lawrence Chen (Founder) and Austin Wang (Founder).
Manaflow has raised $500K in total across 1 funding round.
Manaflow's investors include Y Combinator.
Manaflow has raised $500K across 1 funding round. Most recently, it raised $500K Seed in September 2024.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Sep 1, 2024 | $500K Seed | Y Combinator |