Research & Data

Bypass bot detection systems with a modified Chromium browser for web scraping and automation.

Orchestrate academic research from literature review to publication with a suite of AI agents for the Claude Code CLI.

Crawl and scrape websites to convert web content into clean, LLM-ready Markdown for RAG, agents, and data pipelines.

Extracts structured text, tables, and formulas from images and PDF documents to make them LLM-ready.

Visualize Claude token usage and estimate costs by scanning local logs and serving a dashboard in your browser or VS Code.

Download image galleries and collections from hundreds of websites via the command line.

Curates and explains laws, theories, principles, and patterns for software developers.

Convert technical books and documents into structured Claude Code skills for interactive study and reference.

Build adaptive web scrapers in Python that bypass anti-bot systems and automatically handle website changes, proxy rotation, and large-scale crawling.

Aggregate, filter, and analyze trending news from multiple sources, delivering customized summaries to various channels.

Find a person's online accounts across 3,000+ websites by username and generate detailed OSINT reports.

Generate publication-ready SVG and PNG technical diagrams, including UML and AI system architectures, from natural language descriptions.

Track stock and crypto prices and monitor investment positions directly from your command-line terminal.

Integrate financial data from public, private, and licensed sources into Python, Excel, or custom applications via a unified API.

Run a self-hosted AI trading agent to research markets, manage positions, and execute trades across multiple brokers.

Simulates stock trading decisions using a multi-agent system where each AI agent emulates a famous investor's strategy.

Develop, backtest, and deploy automated cryptocurrency trading bots using Python and machine learning.

Automate cryptocurrency trading on Solana using a multi-agent system for market analysis, risk management, and execution.

Self-host an AI-powered platform for quantitative trading research, strategy development, backtesting, and live execution on your own infrastructure.

Analyze financial markets with an open-source desktop terminal featuring CFA-level analytics, 100+ data connectors, and AI-powered research agents.

Develop, backtest, and deploy algorithmic trading strategies locally using an open-source engine that supports C# and Python.

Embed fast and lightweight interactive financial charts in web applications.