Launchit

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Inspiration

Startup founders juggle countless roles (software engineer, product manager, marketer, customer support, and more), often working unsustainable hours because they can’t afford to hire a team. This overload leads to burnout and leaves less time to focus on what matters most: serving customers. We built Launchit to give every founder a virtual team, so they can focus on their vision without being crushed by the workload.

What it does

Launchit is an AI platform that transforms a simple idea into the foundation of a startup. A user begins by entering their concept, and from there Launchit produces everything that a founder would need to get moving. The system creates a functional website, detailed product documentation, persuasive marketing emails, and social media campaigns that feel authentic. All of this is powered by a virtual team of AI agents who each take on specific startup roles, collaborating together while the user leads as the CEO.

How we built it

We built Launchit using a multi-agent orchestration framework powered by Cohere’s command-r model. Each agent was given a clear role and persona, from the software engineer to the product manager to the marketing lead. They communicate with one another in structured conversations that mimic real startup discussions, weighing feasibility, strategy, and execution before producing final deliverables. The front-end experience was developed with Next.js, Typescript, and Tailwind, creating a simple interface for the user while the orchestration engine coordinates the team behind the scenes.

Challenges we ran into

One of the biggest challenges was designing agents that did not simply talk past each other but truly considered one another’s perspectives. We addressed this by building a routing architecture that allowed the agents to reason with one another and incorporate feedback into their decisions.

Another difficulty came when opinions clashed, such as when the product manager agent endorsed an idea but the software engineer agent questioned its feasibility. To resolve this, we leaned on Cohere’s reasoning capabilities to assign dynamic weights to each voice, allowing the system to gradually emphasize the most informed perspective without silencing the others.

We also struggled to strike the right balance between depth and speed in these conversations. Too short and they lacked nuance, too long and they became unwieldy. We solved this by introducing markers that signaled when a discussion had reached a natural resolution.

Finally, generating marketing content that felt human rather than generic was a significant hurdle, but Cohere’s command-r model helped us bridge that gap by producing material that carried genuine tone and authenticity.

Accomplishments that we’re proud of

We are proud to have built an impactful and fully functioning product in only 36 hours. Launchit evolved into a truly multi-agentic system where the virtual team dynamic felt authentic and productive. Seeing a system that could realistically simulate the effort of a single founder building a billion-dollar startup was the breakthrough moment for us. The fact that it could generate both technical and creative outputs in harmony made us confident that this is more than just a hackathon demo.

What we learned

Through this project we learned that multi-agent systems are only as effective as the clarity of their roles and the structure of their communication. A founder does not need a noisy collection of assistants but a team that collaborates in a disciplined way. We also saw how important it is to guide non-technical founders through the right questions in order to uncover the essence of their ideas. On the technical side, we deepened our understanding of LLM orchestration, collaborative agent frameworks, and AI-generated media. More importantly, we saw how AI can give founders back their most valuable resource: the time and health they need to focus on their customers and their vision.

What’s next for Launchit

Our next step is to put Launchit in the hands of real founders and gather feedback on how it performs in real-world scenarios. Their insights will guide us in refining the platform and evolving it into a trusted standard for future founders who want to turn ideas into startups.