PitchLens

What a16z looks for in a pitch deck

a16z believes software is eating the world and that the best returns come from backing rare, special founders with breakthrough ideas rather than top-down theses about categories. They prefer founding CEOs who possess comprehensive product knowledge, moral authority over their own assumptions, and a long-term commitment to their life's work, and they look for a 'magic combination of courage and genius.' Today the firm orients its capital around winning the key architectures of the future (AI and crypto) and applying them to areas of human flourishing including biology, health, defense, public safety, education, and entertainment, with an explicit mission that 'America wins the next 100 years of technology.'

Stage focus: seed, Series A · Sectors: artificial intelligence, infrastructure, enterprise software, fintech, crypto, bio health, american dynamism, defense

What a16z wants on each slide

Problem

A real problem a founder is uniquely positioned to see, where a 10x-better solution is possible. a16z is drawn to non-consensus problems that look like bad ideas to everyone else, and to founders solving structural gaps (e.g. industrial automation) rather than incremental pain points.

“The trouble with innovation is that truly innovative ideas often look like bad ideas at the time.” — 12 Things I Learned from Ben Horowitz about Management, Investing, and Business
“Innovation is almost insane by definition: most people view any truly innovative idea as stupid.” — Ben Horowitz
“There is a structural gap in industrial automation. And closing it requires more than incremental improvement.” — Sarah Wang
“There is no material problem that cannot be solved with more technology.” — Marc Andreessen

Solution

A product that is at least 10x better than the prevailing way of doing things, not merely differentiated. a16z wants founders who understand that differentiation (solving a wedge 10x better) only earns the right to build a moat — the solution must be that order-of-magnitude leap.

“The primary thing that any technology startup must do is build a product that's at least ten times better at doing something than the current prevailing way.” — 12 Things I Learned from Ben Horowitz about Management, Investing, and Business
“If you don't have winning product, it doesn't matter how well your company is managed, you are done.” — Ben Horowitz
“Power users are the biggest sign of product-user fit” — David Ulevitch
“AI companies have gross margins often in the 50-60% range – well below the 60-80%+ benchmark for comparable SaaS businesses.” — Martin Casado

Market size

Venture-scale markets where growth itself is the thesis. a16z is drawn to markets large enough to support generational, category-defining outcomes, including 'national interest' sectors others ignored. Founders should frame the market as something that can become one of the largest of its kind.

“Every question about the future should be tradable, and Kalshi has the opportunity to capture what may become the largest and most important financial market.” — Investing in Kalshi
“Everything good is downstream of growth.” — Marc Andreessen
“there's never been a better time to build companies that support the national interest and solve critical problems for the country” — David Ulevitch and Katherine Boyle
“There are only two priorities for a start-up: Winning the market and not running out of cash.” — Ben Horowitz

Traction

Clean, honestly-defined metrics that show the business is actually working: real recurring revenue (not bookings dressed as revenue), paid CAC, true LTV based on net profit, and gross vs. net churn. Power users are the strongest early traction signal. a16z is allergic to cumulative 'up-and-to-the-right' charts that hide a shrinking business.

“A common mistake is to use bookings and revenue interchangeably, but they aren't the same thing.” — 16 Startup Metrics
“investors consider paid CAC to be more important than blended CAC in evaluating the viability of a business—it informs whether a company can scale up.” — 16 Startup Metrics
“can go up-and-to-the-right even when a business is shrinking” — 16 Startup Metrics
“Power users are the biggest sign of product-user fit” — Peter Lauten and David Ulevitch

Team

Founding CEOs with a magic combination of courage and genius, independent thinking, and deep, irreplicable product knowledge. a16z prefers founder-led companies and weights the people heavily (Andreessen has described people as ~90% of the decision). For Speedrun, they want builders who go zero-to-one without permission and possess 'earned secrets.'

“We are looking for a magic combination of courage and genius. Courage ['not giving up in the face of adversity'] is the one people can learn.” — 12 Things I Learned From Marc Andreessen
“The company is their life's work. Their emotional commitment exceeds their equity stake.” — Ben Horowitz
“Thinking for yourself …the distinguishing characteristic of the great entrepreneurs.” — Ben Horowitz
“A proven capacity to go from zero to one without waiting for permission” — a16z Speedrun FAQ
“Recruiting isn't a support function, but a core pillar of any great company.” — Zabie Elmgren

Business model

An honest grasp of unit economics and the structural margins of the business. a16z values product revenue over services revenue, understands AI businesses carry heavy compute cost and thinner margins than SaaS, and increasingly favors models that amplify the customer's economics (more revenue, not just lower cost), not just per-seat pricing.

“investors more highly value companies where the majority of total revenue comes from product revenue (vs. from services) because services revenue is non-recurring, has much lower margins, and is less scalable.” — 16 Startup Metrics
“Lifetime value is the present value of the future net profit from the customer over the duration of the relationship.” — 16 Startup Metrics
“AI companies have gross margins often in the 50-60% range – well below the 60-80%+ benchmark for comparable SaaS businesses.” — Martin Casado and Matt Bornstein
“The best AI startups aren't just automating tasks; they're amplifying the economics of their customers, with AI strengthening business models themselves and driving more revenue, not just lower costs.” — Big Ideas 2026: Part 1

Competition

A clear-eyed view of defensibility. a16z is skeptical of 'data moat' hand-waving — it wants durable advantage from differentiated technology, deep domain/vertical understanding, go-to-market dominance, and winning the talent war. They distinguish differentiation (solving a wedge 10x better) from defensibility, and warn that conflating the two gets startups outflanked.

“Greater long-term defensibility is more likely to come from packaging differentiated technology; understanding the domain and reflecting that in your product as you verticalize across industries; dominating the go-to-market race; and winning the talent war” — The Empty Promise of Data Moats
“Treating data as a magical moat can misdirect founders from focusing on what is really needed to win.” — Martin Casado and Peter Lauten
“The moats for AI companies appear to be shallower than many expected.” — Martin Casado and Matt Bornstein
“a powerful data flywheel and provides an at-scale proving ground that few robotics companies have access to” — Sarah Wang

Why now

A genuine inflection — a market dislocation that makes a previously impossible company possible now. a16z is especially drawn to companies enabled by new AI model primitives (reasoning, multimodality, computer use) and to the shift of intelligence from screens into the physical world. The framing should be that the timing, not just the idea, is the unlock.

“As AI capabilities improve, the bottleneck will shift from cognition to execution.” — Investing in Mind Robotics
“In 2026, we'll see the emergence of companies that simply could not have existed before recent model breakthroughs in reasoning, multimodality, and computer use” — Big Ideas 2026: Part 1
“it reduces a massively broad class of technical problems to simply a matter of economics” — Martin Casado
“Intelligence is stepping off the screen and into the physical world” — Sarah Wang

The ask

Capital tied to winning the market and surviving — a16z thinks in terms of giving great founders resources, a long-term mandate, and the freedom to operate. The ask should reflect a plan to win the market while never running out of cash. a16z leads rounds across stages, and Speedrun offers a defined upfront structure (up to $1M).

“The only mistake you cannot make is running out of cash.” — 12 Things I Learned from Ben Horowitz about Management, Investing, and Business
“There are only two priorities for a start-up: Winning the market and not running out of cash.” — Ben Horowitz
“We invest up to $1,000,000 in each accepted company” — a16z Speedrun FAQ

What a16z rewards and penalizes

What excites a16z

  • A founding CEO with deep, hard-to-replicate product knowledge who treats the company as their life's work
  • A non-consensus idea that looks like a bad idea to most people but is right
  • A product that is at least 10x better than the prevailing way of doing the job
  • Strong power-user love as evidence of product-user fit before claiming product-market fit
  • Honest, correctly-defined metrics: real recurring revenue, paid CAC, net-profit-based LTV, gross and net churn
  • Defensibility from differentiated tech, vertical/domain depth, go-to-market dominance, and talent — plus genuine data flywheels via scale or strategic partners
  • A real why-now tied to new AI model primitives (reasoning, multimodality, computer use) or intelligence moving into the physical world
  • AI businesses that amplify the customer's economics and drive more revenue, not just lower cost
  • Building in venture-scale or national-interest markets that can support generational outcomes

Watch-outs for a16z

  • Claiming 'data' as the moat without differentiated tech, domain depth, GTM, or talent advantage behind it
  • Cumulative 'up-and-to-the-right' charts that mask a shrinking business
  • Conflating bookings with revenue, or computing LTV on revenue instead of net profit
  • Conflating differentiation with defensibility — solving a wedge 10x better but having no plan to build a durable moat
  • AI businesses presented with SaaS-style margin assumptions while ignoring heavy compute/cloud costs
  • A hired/professional CEO rather than a committed founding CEO at the early stage
  • Incremental improvements on an existing workflow instead of closing a structural gap
  • No genuine why-now — an idea that could just as easily have been built years earlier

Who decides at a16z

Marc Andreessen — Co-founder & General Partner
“We are looking for a magic combination of courage and genius. Courage ['not giving up in the face of adversity'] is the one people can learn.”
Ben Horowitz — Co-founder & General Partner
“The company is their life's work. Their emotional commitment exceeds their equity stake.”
Martin Casado — General Partner (Infrastructure)
“Greater long-term defensibility is more likely to come from packaging differentiated technology; understanding the domain and reflecting that in your product as you verticalize across industries; dominating the go-to-market race; and winning the talent war”
Sarah Wang — General Partner (Growth)
“As AI capabilities improve, the bottleneck will shift from cognition to execution.”
David Ulevitch — General Partner (American Dynamism)
“there's never been a better time to build companies that support the national interest and solve critical problems for the country”

What a16z actually backs

Where a16z is thinking now

a16z's published guidance

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