AI-Powered Data Analysis for Everyone

Discover insights in Hacker News discussions using natural language queries and intelligent conversation flows

What is Pixlie?

Pixlie is an AI-powered data analysis platform that makes complex data exploration accessible to everyone. Using natural language conversations, you can discover insights in Hacker News discussions without writing SQL or complex queries.

Conversational AI Interface

Simply ask questions like "Find AI startups that raised funding in 2024" and Pixlie's intelligent conversation system breaks down your query into executable steps, runs the analysis, and synthesizes clear, actionable insights.

No SQL or complex queries needed
Multi-step query resolution
Intelligent conversation flows
Example Query

"Find European AI startups that raised funding in 2024"

AI Response

I'll help you find European AI startups with 2024 funding. Let me break this down into steps:
1. Search for AI-related entities in Europe
2. Filter by funding events in 2024
3. Analyze and present the results

Key Features

Powerful AI-driven tools that make data analysis accessible and insightful

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Conversational AI

Ask questions in natural language and get intelligent responses with step-by-step analysis

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Smart Analysis

Multi-step query resolution with tool orchestration and automated data processing

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Entity Recognition

Automatic extraction of people, companies, technologies, and other entities from discussions

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Relationship Mapping

Discover connections and patterns between entities in discussions and conversations

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Trend Analysis

Track topics, sentiment, and emerging trends over time with intelligent analytics

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Extensible Tools

Modular architecture with custom analysis tools and extensible functionality

How It Works

From question to insight in four intelligent steps

1

Ask Questions

"Find AI startups that raised funding in 2024"

2

AI Planning

Pixlie breaks down your query into executable steps

3

Tool Execution

Runs searches, filters, and analysis automatically

4

Smart Results

Synthesizes findings into clear, actionable insights

Data Sources

Currently analyzing Hacker News with more sources coming soon

Current

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Hacker News

Stories, comments, and user data

Coming Soon

Reddit discussions
GitHub repositories and issues
Twitter/X conversations
Product Hunt launches
Tech news aggregators

Use Cases

Empowering different professionals with AI-driven insights

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Investors

Research emerging technologies and startups, track funding trends, and identify investment opportunities

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Researchers

Analyze tech trends, community sentiment, and emerging topics in technology discussions

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Journalists

Discover breaking stories, track industry developments, and find newsworthy trends

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Developers

Monitor technology adoption, community discussions, and emerging development trends

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Entrepreneurs

Identify market opportunities, competitive landscape, and validate business ideas

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Analysts

Generate insights, track market movements, and analyze industry patterns

Technical Highlights

Built with modern technologies for performance, reliability, and scalability

Rust Backend

High-performance data processing and API

React Frontend

Modern, responsive user interface

LLM Integration

Powered by state-of-the-art language models

Local-First

Run entirely on your own infrastructure

Open Source

GPL-3.0 licensed, community-driven development

High Performance

Optimized for speed and scalability

Ready to Get Started?

Join the community and start exploring data with AI-powered conversations

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Star the Project

Get notified about updates and releases

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Watch Releases

Subscribe to release notifications

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Contribute

Join our community-driven development