Evaluate early-stage startups across funding stage, market positioning, and growth trajectory to prioritize investment opportunities.

Prompt the agent to summarize recent product launches that reflect momentum or technical progress. Focus on the most relevant updates.

Analyze current products

Analyze the company's edge by having the agent look for signals of defensibility, differentiation, and lasting advantage in the market.

Understand competitive moats

Build an understanding of notable competitors in the same market. Understand different competitive risks.

Research competitive landscape

VC Early Stage Company Analysis

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Identify the top 15 machine learning engineers currently at OpenAI, Anthropic, Google DeepMind, and Meta AI. Pull their LinkedIn profiles, current roles, years of experience, notable projects, and GitHub activity.

Build a list of 50 Series B fintech startups that have raised in the last 12 months. For each company, identify their Head of Engineering, VP of Product, and Head of Design. Include names, LinkedIn profiles, previous companies, and when they joined.

Research top-performing B2B SaaS sales teams. Include total headcount, recent funding rounds, sales team size estimates, and publicly known compensation ranges.

Locate backend engineers with Rust experience at companies known for using it such as Cloudflare, Dropbox, Discord, Figma, and 1Password. Pull their LinkedIn profiles, experience levels, and GitHub contributions.

Build a competitive benchmarking analysis of the top 10 players in the US logistics software market. Include product coverage areas, pricing models, and target customer profiles.

Research the top US telehealth providers. Include patient visit volumes, total revenue, average revenue per visit, and year-over-year growth rates by segments such as mental health, urgent care, and chronic care management.

Map out the emerging vertical AI software landscape. Identify companies building AI for specific industries like legal, healthcare, finance, or sales. Pull their funding history, public customer logos, product capabilities, and how they position against horizontal tools.

Analyze the cloud cost optimization tools market and top competitors in the space. Include pricing structures, supported cloud providers, key differentiating features, target customer segments, and recent product launches.

Screen for cybersecurity companies with $100M-$500M in revenue and 30%+ year-over-year growth. Pull latest valuations, revenue multiples, customer counts, and recent funding activity.

Research vertical SaaS companies serving hospitals and health systems. Include enterprise value, revenue estimates, customer concentration, and recent M&A activity in the space.

Identify Series C infrastructure software companies for comp analysis. Pull their last round valuations, estimated ARR, reported growth rates, and lead investors.

Build a dataset on late-stage consumer fintech companies that raised between 2019-2021. Pull user count estimates, revenue per user metrics, known unit economics, and regulatory challenges they've faced.

Map out the Southwest territory market opportunity. Research companies with 500-5000 employees in Texas, Arizona, and New Mexico across technology, healthcare, and financial services. Include company growth indicators, recent funding or acquisitions, and technology stack signals.

Analyze the enterprise software buying landscape in the healthcare vertical. Identify the top 20 hospital systems by bed count, their current technology vendors, recent digital transformation initiatives, IT budget estimates, and key decision makers in procurement.

Research decision makers at the top 10 Fortune 500 retailers. Identify their Chief Digital Officer, SVP of Technology, and VP of Customer Experience. Include LinkedIn profiles and recent technology initiatives.

Research companies showing active buying signals in the MarTech space. Find B2B companies with 100-1000 employees that posted "marketing operations" or "revenue operations" job openings in the last 30 days. Pull their current tech stack, recent funding activity, and leadership changes.

Research Class A office building sales in downtown Denver from the last 18 months. Pull sale prices, price per SF, cap rates at sale, occupancy rates, and buyer/seller information.

Build a dataset of newer multifamily properties in Austin suburbs. Pull average rent per SF, occupancy rates, amenity packages, walk scores, and school district ratings.

Identify large-format industrial warehouse properties near major US logistics hubs. Pull current lease rates, clear heights, dock door counts, and recent leasing activity.

Research retail properties on high-traffic corridors in Miami's urban core. Pull asking lease rates, current tenant mix, estimated foot traffic, and parking availability.