Real Me • DeepMatch

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Inspiration

Many people go through loneliness, life changes, relationship problems, professional uncertainty, grief, anxiety, or other difficult experiences without having someone they feel comfortable talking to. Real Me • DeepMatch was created around a simple idea: sometimes the person who can understand you best is someone who has already lived through something similar.

Instead of building another social network based on followers, likes, popularity, or public exposure, Real Me focuses on experiences. Users can share what they are going through and the platform can help identify people with similar experiences, always putting privacy, safety, and consent at the center of the interaction.

What it does

Real Me • DeepMatch is a web platform designed to transform personal experiences into meaningful human connections.

A user can share an experience or situation. Artificial intelligence helps interpret its context and the DeepMatch system can identify compatible experiences from other users.

The goal is not to replace human relationships with AI. AI acts as a bridge between people.

For the WebMCP Challenge, we are extending Real Me so AI agents can discover structured tools provided by the platform and help users interact with Real Me through natural conversations.

How we built it

The existing Real Me application was created as a web application using technologies including React, Vite, Supabase, Netlify and AI-assisted development.

I am a non-technical founder building the project with the assistance of AI tools, particularly ChatGPT. AI has helped me transform product ideas into working software, understand technical concepts, debug problems and progressively build the platform.

Real Me existed before the WebMCP Challenge. During the challenge, the project is being extended with WebMCP capabilities. This distinction is intentional and transparent: the existing platform provides the foundation, while the WebMCP integration is new work being developed specifically during the challenge period.

Our goal for the WebMCP implementation is to expose useful Real Me capabilities as structured tools that AI agents can discover and use with appropriate user consent.

Challenges we ran into

One of the biggest challenges has been building a technology product without a traditional software engineering background.

Instead of treating that limitation as a reason not to build, I have been using AI as a development partner: learning each component, testing implementations, identifying errors and improving the product step by step.

The WebMCP Challenge introduces another challenge: moving from a traditional website interaction model toward an agent-native experience where AI can understand and use capabilities exposed directly by the application.

Privacy and consent are also fundamental challenges because Real Me deals with personal experiences. Agent actions must therefore be designed carefully so users remain in control of what is shared and what actions are performed.

Accomplishments that we're proud of

Real Me evolved from an idea into a working web product.

The project already has the foundation for users to share experiences and for DeepMatch to explore compatibility between them.

Another accomplishment is demonstrating that AI-assisted development can allow a non-technical founder to move beyond prototypes and participate directly in building a real technology product.

For this challenge, our next milestone is making Real Me agent-accessible through WebMCP while maintaining the human-centered philosophy of the platform.

What we learned

Building Real Me has shown us that AI can do more than answer questions. It can help people create technology that previously required technical knowledge they did not have.

The WebMCP Challenge is also teaching us to think differently about websites. Instead of designing only for humans clicking interfaces, applications can expose structured capabilities that agents can understand and use.

For Real Me, this creates an interesting possibility: an AI conversation does not need to end with an AI response. With the user's permission, it can become the beginning of a meaningful human connection.

What's next for Real Me • DeepMatch

During the WebMCP Challenge, our immediate goal is to implement and test Real Me's WebMCP tools and demonstrate an end-to-end agent interaction.

After the challenge, we want to continue developing DeepMatch, improve privacy and safety mechanisms, expand the matching experience and explore how agent-native interfaces can make meaningful human connections easier to discover.

Our long-term vision is simple:

AI should not replace human connection. It should help people find it.

Built With

• artificial
• chatgpt
• intelligence
• javascript
• netlify
• react
• supabase
• vite
• webmcp