Market intelligence toolkit for Claude Code. Iterative research workflows, trend modeling with three-valued logic, multi-format reports, and automated GitHub issue creation from findings.
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Updated
Feb 3, 2026
Market intelligence toolkit for Claude Code. Iterative research workflows, trend modeling with three-valued logic, multi-format reports, and automated GitHub issue creation from findings.
Complete GTM strategy for AI research assistant: TAM/SAM/SOM analysis, competitive analysis, pricing strategy, 90-day launch plan, and 24-month financial projections. Built with Python, Streamlit, and Plotly.
Demonstrates a practical data product: headless JS fetchers capture dynamic pipeline assets, Python + LLMs parse them into structured tables, then market sizes and sources are appended for analysis.
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