Venture Capital Due Diligence Checklist: A Step-by-Step Guide for 2026
A practical VC diligence checklist covering team, market, product, traction, financials, legal, and technical risk, plus a reusable template you can copy.
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Product notes, playbooks, and research on AI-powered deal flow, diligence, and fund operations.
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A practical VC diligence checklist covering team, market, product, traction, financials, legal, and technical risk, plus a reusable template you can copy.
A practical guide to financial due diligence for startups. Learn what VCs validate, which metrics matter, and the red flags that slow down a round.
A practical legal diligence checklist for venture rounds. What VCs and counsel review in formation docs, cap tables, IP, employment, customer contracts, and compliance.
A non-engineer friendly technical diligence checklist. The questions VCs can ask to surface product, security, and scalability risk without reading code.
A practical guide to reference checks in venture capital. A repeatable process, a question bank, and the bias traps that lead to false positives.
A practical deal screening rubric for inbound pitches. A repeatable 15-minute first pass that helps you move fast without missing outliers.
A practical IC memo template for venture investors. A structure that separates facts from narrative, documents risk, and makes the decision clear.
A practical quarterly LP update template for venture funds, plus the sections LPs pay attention to and the metrics that reduce back-and-forth.
A comprehensive guide to the two main private placement exemptions under Regulation D—when to use each, verification requirements, and strategic implications for emerging managers.
Understanding the critical fund structure exemptions that allow venture funds to operate without SEC registration as investment companies.
Everything you need to know about launching your first venture fund—from legal entity setup and LPA fundamentals to fundraising strategy and operational infrastructure.
A deep dive into how AI is revolutionizing deal sourcing, due diligence, portfolio monitoring, and LP reporting—with real implementation frameworks and case studies.
An investigative analysis of famous VC passes through the lens of actual IC memos. Explore the cognitive biases, pattern recognition failures, and systematic blind spots that cost venture firms billions in missed opportunities—and how to avoid them.
A strategic analysis of how traditional capital + intros is dead, and why funds are vertically integrating into content, talent recruiting, and operations—with cost breakdowns showing how emerging managers can compete at 1/10th the cost using AI.
An investigative deep-dive into the explosion of founder secondary sales and structured liquidity programs. Examines the psychological, legal, and strategic implications for cap tables, incentive structures, and VC control provisions—with frameworks for when to support vs. restrict secondary transactions.
An in-depth exploration of how AI is transforming workflows across industries, from healthcare to finance, with real-world case studies and implementation frameworks.
How venture capital firms can leverage AI workflow optimization to transform deal flow, diligence, portfolio management, and LP relations.
How emerging managers and small funds can compete with larger firms through intelligent use of AI and automation, achieving 44% time savings without sacrificing quality or deal flow.
Explore the shift from traditional 10-year VC funds to evergreen funds, rolling funds, and hybrid structures. Learn how AI-powered operations platforms enable these new models with $381B in AUM and 64% of VCs using AI.
Demystifying term sheet economics for VCs and founders. Learn about pre-money vs. post-money valuation, option pools, dilution, and how AI tools help model different scenarios.
A systematic approach to evaluating AI/ML startups without requiring a PhD in computer science. Learn the seven pillars of technical due diligence, red flags to watch for, and when to bring in advisors.
An investigative look at the emerging AI-native roll-up strategy where VCs acquire traditional service businesses and transform them using AI. Explore General Catalyst's $1.5B allocation, Y Combinator's full-stack AI thesis, and the bull vs. bear case.
Understand how liquidation preferences work in venture deals. Learn the difference between 1x, 2x, 3x multiples, participating vs. non-participating preferences, and how they impact founders and investors in exit scenarios.
Master anti-dilution provisions in venture deals. Learn how full ratchet and weighted average formulas protect investors in down rounds, and how they impact founder ownership and company economics.
Master vesting acceleration clauses in venture deals. Learn how single-trigger and double-trigger acceleration impact founders and employees in acquisition scenarios, and why the difference matters.
Understand board composition and protective provisions in venture deals. Learn how VCs maintain control despite minority ownership, and what NVCA standard provisions mean for founders and investors.
Understand pay-to-play provisions in venture deals. Learn how these mechanisms force investor participation in down rounds, their impact on founders and VCs, and why they're surging to 8.7% of deals in 2024.
Master drag-along, tag-along, and right of first refusal (ROFR) provisions in venture deals. Learn how these exit rights impact M&A transactions, secondary sales, and founder liquidity.
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