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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/.

Seals is a suite of AI Employees for Wholesalers & Distributors. Instead of relying on humans to quote, take orders, collect payments, place purchase orders and enter data into ERPs. We build AI Employees that do these manual repetitive tasks for the 700k wholesalers in the US. We’re a team of three Computer Science majors, and Fernando launched and grew AT&T in Mexico to $120M ARR. Previously, we all worked together at our last YC-backed startup, building it to over $6M in revenue. It was there that we placed thousands of purchase orders with wholesalers. We realized that almost every physical product comes from B2B sales in the supply chain. However, it turns out that most of these operations are still done manually through phone and email, involving tasks like quoting, taking orders, collecting payments, entering data into ERPs, and providing support. By automating these tasks with AI agents in a human-like manner, we are creating a massive opportunity to convert $100B of payroll expenses into software spending.