RecoFeed

RecoFeed creates personalized recommendation feeds that operate locally on the user's device, ensuring data privacy. It uses a cross-platform vector database called CloseVector to generate real-time recommendations, supporting AI-enhanced content curation.

What is RecoFeed?

RecoFeed is a tool for creating personalized recommendation feeds, curating items like articles and videos based on user interests. It generates recommendations locally, ensuring data privacy, and supports AI-enhanced content. RecoFeed operates using CloseVector, a cross-platform vector database downloaded directly onto the user's device, where recommendations are generated in real time, locally. This means your users' data stays on their device and isn't sent back to any server. RecoFeed is committed to providing its basic services free of charge, with fees only applying for more advanced features like AI workflows.

Use Cases

• Curating articles and videos based on user interests
• Building recommendation feeds for audiences
• Creating personalized content experiences

Core Benefits

• Ensures user data privacy by generating recommendations locally
• Offers basic services free of charge
• Supports AI-enhanced content
• Uses a cross-platform vector database

Key Features

• Personalized recommendation feeds
• Local recommendation generation for data privacy
• AI-enhanced content support
• Cross-platform vector database (CloseVector)

How to Use

1. 1
   Sign up for the closed beta to test RecoFeed.
2. 2
   Download the CloseVector database onto your device.
3. 3
   Generate real-time, personalized recommendations locally.

Frequently Asked Questions

Pros & Cons (Reserved)

Alternatives