Lightfeed is an AI-driven web knowledge engine that continuously crawls and indexes websites, extracting structured data using large language models for semantic understanding. It addresses the challenge of fragmented and outdated web data by providing real-time access to a personalized knowledge base, enabling precise information retrieval and automated workflows without the need for coding.
Funding
Funding not disclosed
Founders
Product
Problem
Accessing and utilizing data from websites is challenging due to its fragmented nature and dynamic updates, leading to outdated or inaccurate information retrieval. Traditional methods of web scraping often rely on brittle selectors, requiring constant maintenance and coding expertise.
Solution
Lightfeed offers an AI-powered web knowledge engine that automates web extraction, search, and analysis. The platform continuously crawls and indexes websites, leveraging large language models (LLMs) for semantic understanding and structured data extraction. Users can curate a personalized, up-to-date knowledge base and retrieve precise information via AI-driven search, eliminating the need for manual coding or AI expertise. Lightfeed transforms websites into knowledge APIs, enabling automated workflows and integrations with various workspaces.
Target Audience
Lightfeed targets businesses and researchers who need to extract, structure, and monitor web data at scale for market research, lead generation, and competitive intelligence.
Features
- Continuous web crawling and indexing with daily updates to maintain data freshness.
- AI-powered agents for researching and enriching data from multiple sources, including URLs, Google, and LinkedIn.
- Semantic search capabilities for accurate results based on meaning, not just keywords.
- Custom field extraction using semantic understanding, ensuring robustness and scalability.
- Website tracking with AI-driven alerts for changes, delivered to integrated workspaces.
- Support for scraping dynamic JavaScript content, handling proxies, caching, and retries.
- REST API, Email, RSS, Slack, and Zapier integrations for accessing knowledge base and workflow results.
- TypeScript and Python SDKs for seamless integration into existing workflows.