Become a startup consultant

Distinguish between incubator, accelerator, and venture studio business models.

Identify revenue streams for accelerators (e.g., equity, management fees, sponsorships).

Explain the roles of General Partners (GPs) and Limited Partners (LPs) in a venture fund.

Describe the venture capital fund lifecycle: fundraising, deployment, and harvesting.

Design an AI-differentiated value proposition for a new incubator/accelerator.

Evaluate cohort-based versus rolling admission program structures.

Outline the unit economics for running an accelerator program.

Select appropriate legal entity structures for the operating company and investment fund.

Identify key US federal regulations governing venture capital funds (e.g., Investment Advisers Act).

Describe common legal exemptions (e.g., 3(c)(1), 3(c)(7)) that early-stage funds use to operate.

Outline the core compliance responsibilities of a fund manager.

Analyze the key components of standard program participation agreements.

Identify securities law requirements for accepting equity from portfolio companies.

Identify methods to protect the incubator's own intellectual property (brand, curriculum).

Interpret key metrics from a startup's financial statements to assess health (burn rate, runway).

Evaluate a startup's viability using unit economics (CAC, LTV).

Explain how pre-money and post-money valuations are calculated in a funding round.

Analyze a capitalization table to understand ownership structure and dilution.

Compare common pre-seed valuation methods (e.g., scorecard, comparables, VC method).

Apply a valuation framework to an early-stage startup scenario to arrive at a valuation range.

Distinguish between convertible instruments (SAFEs, notes) and a priced equity round.

Evaluate key economic terms in a term sheet (valuation cap, discount, liquidation preference).

Evaluate key control terms in a term sheet (voting rights, protective provisions, board seats).

Explain the function and strategic importance of pro-rata rights.

Choose an appropriate investment instrument for a given pre-seed startup scenario.

Determine an appropriate equity stake for program participation versus direct investment.

Formulate a fund strategy and a compelling investment thesis.

Articulate the fund's value proposition for potential Limited Partners (LPs).

Explain fund economics: management fees and carried interest.

Describe the structure of a fund's waterfall distribution, including hurdle rates.

Identify and create a target list of appropriate LPs (family offices, HNWIs).

Prepare the core components of a fund pitch deck and a data room for LP due diligence.

Outline the legal and administrative steps of a fund closing process.

Define the ideal startup profile and investment criteria for the fund.

Develop a marketing and outreach plan to generate high-quality deal flow.

Evaluate and select AI-powered tools for deal sourcing and market mapping.

Design an initial screening process using an AI-assisted scoring rubric.

Select and configure a CRM platform for managing deal flow from initial contact to decision.

Design a systematic due diligence process for pre-seed startups.

Evaluate founder capabilities, coachability, and team dynamics from an investor's perspective.

Assess market size, competitive landscape, and go-to-market strategy for scalability.

Assess a startup's product and technology for feasibility and defensibility.

Identify key legal, regulatory, and intellectual property risks during diligence.

Synthesize due diligence findings into a concise investment memo to support a decision.

Assess the technical feasibility and defensibility of AI-native business models.

Distinguish between genuine AI innovation and superficial 'AI-washing'.

Analyze the components of a startup's data acquisition and annotation strategy.

Evaluate the quality, relevance, and defensibility of a startup's dataset.

Identify how proprietary data and data network effects create competitive moats for AI companies.

Design a milestone framework and KPIs to track startup progress through the program.

Outline a core curriculum focused on bridging common pre-seed gaps (e.g., fundraising, go-to-market).

Design a system for recruiting, vetting, and managing a high-quality mentor network.

Plan the format, logistics, and goals for a high-impact demo day.

Develop a strategy for facilitating ongoing investor introductions for portfolio companies.

Define KPIs and reporting standards for monitoring portfolio health.

Design a process for collecting, analyzing, and acting on portfolio performance data.

Establish a structured framework for regular founder coaching and performance check-ins.

Develop a follow-on investment strategy, including capital reservation and decision triggers.

Assess a portfolio company's readiness for its next funding round.

Facilitate strategic introductions to partners, customers, and follow-on investors.

Use AI tools to automate the analysis of inbound pitch decks and applications.

Evaluate and configure AI-powered dashboards for real-time portfolio performance tracking.

Design processes to use AI for interpreting portfolio data and identifying companies at risk.

Outline the key components of a standard Limited Partner (LP) report.

Automate aspects of LP reporting and communication using AI tools.

Evaluate AI-driven methods for matching startups with mentors based on specific needs.

Develop core positioning and a marketing message tailored to your ideal startup profile.

Outline a unified financial model for the accelerator and fund, projecting cash flow and sustainability.

Define a strategy to manage potential conflicts of interest between consulting clients and portfolio companies.

Create a 90-day launch plan with key operational, legal, and marketing milestones.

Define key success metrics and a framework to evaluate program effectiveness and iterate.