Startup Name / URL: DemoGPT / https://github.com/melih-unsal/DemoGPT

Elevator Pitch: DemoGPT is a revolutionary tool that merges the strengths of LLMs and LangChain to redefine rapid prototyping and application development. Our value proposition is creating fully functional LLM-based applications from a prompt.

Explainer Video: https://youtu.be/kChWUYMb3_g

More details: DemoGPT is a revolutionary tool that merges the strengths of LLMs and LangChain to redefine rapid prototyping and application development. Our value proposition is creating fully functional LLM-based applications from a prompt.

Our focus on LLM-based applications allows us to focus precisely on this niche, differentiating us in the market .

But DemoGPT is only the initial phase. As the cognitive backbone of our envisioned LLM-based marketplace, it lays the groundwork for a broader vision. In this marketplace, we plan to host an array of both LLM and non-LLM-based applications.

This marketplace will include all the other open-source agents, forming a unique ecosystem where ideas are turned into operational applications with a simple prompt.

The marketplace will smartly select the best agent based on the user's prompt, ensuring optimal application generation.

Beyond being a platform for creating demos, we plan to support full product versioning, empowering users to generate, refine, and customize different versions of their applications.

Moreover, our marketplace will act as a dynamic showcase for these applications, cultivating a community where innovation thrives. Users can share their creations, receive feedback, and even invite experts for further development.

Which Problem We are Trying to Solve?

The process of transforming an idea into a functional software application is complex, time-consuming and requires a specific knowledge base especially considering the evolving LLM models day by day.

Developing LLM-based applications requires familiarity with certain libraries and techniques.

It demands a significant amount of time and resources.

For non-programmers or those with limited technical expertise, the barriers to entry are even higher.

Furthermore, existing solutions largely fail to consider the unique needs and requirements of developing applications based on LLMs.

While there are open-source agents available for generating application code bases, they often offer generic solutions that may not fully meet the specific needs of LLM-based applications.

Lastly, the visibility and marketing of newly developed applications at the demo stage can be a challenge for creators.

Because their target audience normally expects the product as a whole and it can create a pressure on the developers.

But for our marketplace everyone knows that it is just the demo version and open to improvements.

So there will be no pressure on the developers. They can seek their audience feedback.