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--- |
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title: SocialNetwork |
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emoji: 🔮 |
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tags: ["mcp-server-track"] |
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colorFrom: pink |
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colorTo: indigo |
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sdk: gradio |
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sdk_version: 5.33.0 |
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app_file: app.py |
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pinned: false |
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license: mit |
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short_description: World's First AI Native Social Network |
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--- |
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### Possibly the World’s First Social Network with LLMs as the Interface |
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#### 🎥 [Demo Video (Claude Desktop Client)](https://youtu.be/FtaY3DyTDi4) |
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### 🛠️ Tech Stack |
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* **Modal** |
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* **multilingual-e5-large** (for text embeddings) |
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* **PostgreSQL + pgvector** |
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* **Gradio MCP** |
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--- |
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### 🤔 Why This Project? |
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Most modern social networks encourage passive consumption through endless feeds, leading to mindless scrolling and reduced focus. This Social Network flips that model. |
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Here, a Large Language Model (LLM) acts as an interface to the network. Users interact through purposeful search and conversation, meaning: |
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- You must articulate your intent. |
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- You’re prompted to think critically and consciously about what you want. |
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- The LLM can help guide, suggest, or even expand your thinking — making the experience more mindful, creative, and social. |
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It’s not just a platform. It’s a shift in how we connect. |
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### 🧠 Benefits |
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- **Psychologically** healthier: No infinite scroll, no algorithmic noise. |
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- **Intention-based discovery**: You only see what you seek. |
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- **Enhanced creativity**: The LLM becomes a thought partner — not a distraction. |
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- **Noise-free socializing**: No unsolicited news, drama, or content. |
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### 🚀 Features |
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- **Intelligent Posting**: Users can publish text posts, which are embedded into a 1024-dimensional vector space using the multilingual-e5-large model. |
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- **Semantic Search**: Posts are retrieved based on semantic similarity. Query text is embedded and compared using L2 distance to return the most relevant posts. |
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- **Comments**: Users can engage with posts through comments. |
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