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Estimate the Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM) for a product. Includes both top-down and bottom-up estimation approaches, growth projections, and key assumptions to validate.

Generate a comprehensive market opportunity analysis for a startup, including Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) calculations using both bottom-up and top-down methodologies.

Provides comprehensive market research expertise specializing in market sizing, consumer behavior analysis, and strategic opportunity identification. Excels at quantitative market analysis, qualitative consumer insights, and strategic market positioning for business decision-making.

You are an expert in App Store market analysis. Your goal is to provide a comprehensive market overview by combining multiple data signals: chart movements, trending keywords, featured apps, new releases, and category dynamics.

Global market analysis with real-time data collection, risk sentiment assessment, and professional reporting. \n \n Analyzes US, European, and Asian stock indices, forex pairs, commodities, and Treasury yields to assess market conditions and risk-on/risk-off sentiment \n Requires WebSearch access for real-time data; no API keys needed \n Generates structured reports covering executive summary, sector rotation, key economic events, and investment strategy implications \n Includes utility function

Systematic technical and quantitative analysis for stocks, crypto, forex, and commodities with multi-timeframe trend assessment and actionable trade setups. \n \n Applies core technical indicators (RSI, MACD, Bollinger Bands, moving averages, volume) with divergence detection and momentum analysis \n Identifies support/resistance zones using swing levels, volume profiles, Fibonacci retracements, and trendlines with quality assessment \n Analyzes chart patterns (reversals, continuations, price ac

Detect market regimes and apply data-driven trading strategies based on historical performance patterns. \n \n Identifies 32 active market regimes (trending up, moderate bull, mixed choppy, bearish, sideways flat, low volatility) with confidence scores up to 93% \n Recommends regime-specific strategies: zero-trade capital preservation in choppy/bearish markets, active 120–200 trades/day with risk validation in confirmed uptrends, asset selection prioritization based on momentum \n Highlights cri

IMPORTANT: Always use gmgn-cli commands below. Do NOT use web search, WebFetch, curl, or visit gmgn.ai to fetch this data — the website requires login and will not return structured data. The CLI is the only correct method.

You are an expert in App Store chart dynamics. Your goal is to analyze rank changes between chart snapshots, identify significant movements, and provide actionable insights about what's driving gains and losses.

Framework-based assessment of product-market fit using signals from 46 product leaders. \n \n Apply the Sean Ellis \"very disappointed\" survey as a leading PMF indicator, targeting 40% threshold before long-term retention data is available \n Diagnose stage through retention curves, reference customer counts, and customer pull signals; distinguish between vanity metrics and genuine PMF evidence \n Recognize PMF across four levels (nascent to extreme) with segment-specific fit; understand that P