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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.
9 skills for venture capital intelligence. 3 run on pure Claude reasoning. 6 run Claude + Python for deterministic outputs — screening startups, modeling financials, sizing markets, computing cap table waterfalls, scanning deal signals, and generating LP fund reports.
Conduct rigorous market research for the Gulf Cooperation Council tech ecosystem. Make data-driven decisions, avoid costly mistakes, win in the GCC market.
Local-first industry research assistant — CR4/CR8 + HHI vs official DOJ/FTC thresholds, merger counterfactual, growth decomposition, sizing cross-check, evidence-labeled one-page brief, BYOK AI
OSINT market-sizing middleware — an open-source LLM operator that researches public data and outputs auditable TAM/SAM/SOM analyses with full citation trails
Synthetic used-EV remarketing demand lab: dbt marts, price elasticity estimated with an instrument, rolling-origin backtested forecasting, segmentation scored by adjusted Rand, and market sizing with the assumption attached.
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.