The a16z Show

Out-of-Pocket is a healthcare education company founded by Nikhil Krishnan that helps people understand how healthcare works and how to navigate it in practice. In this episode, a16z investing partner Jay Rughani and Nikhil discuss why health insurance is losing its role as the default way people access care. They explain how rising costs are pushing more consumers to pay out of pocket for diagnostics, preventive care, and navigation. The conversation also looks at what this shift means for startups, AI-powered tools, regulation, and access as healthcare continues to move beyond insurance.
Resources:
Follow Jay Rughani on X:  https://twitter.com/JayRughani
Follow Nikhil Krishnan on X: https://twitter.com/nikillinit
Read Out of Pocket’s 2026 Predictions: https://www.outofpocket.health/p/out-of-pockets-2026-predictions
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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
 

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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In this episode, Jen Kha, Head of Investor Relations, and David George, General Partner, discuss how late-stage private markets are evolving as AI reshapes scale, capital intensity, and growth timelines. They explain why AI-driven companies are staying private longer, how infrastructure spending is changing return profiles, and what this moment means for durability, value creation, and long-term outcomes in private markets.
Timecodes:
0:00 — Introduction
04:21 — The Market Opportunity for AI
26:48 — Pricing, Monetization, and Cash Burn
43:15 — Companies Staying Private Longer
51:30 — Portfolio Composition and Construction
57:18 — Team Culture and Collaboration
 
Resources:
Follow Jen Kha on X: https://x.com/jkhamehl
Follow David George on X: https://x.com/DavidGeorge83
 
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Not an offer or solicitation. None of the information herein should be taken as investment advice; Some of the companies mentioned are portfolio companies of a16z. Please see https://a16z.com/disclosures/ for more information.  A list of investments made by a16z is available at https://a16z.com/portfolio.

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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Mintlify is a documentation platform built by cofounders Han Wang and Hahnbee Lee to help teams create and maintain developer docs. In this episode, Andreessen Horowitz general partners Jennifer Li and Yoko Li speak with Han and Hahnbee about how coding agents are changing what “good docs” mean, shifting documentation from a human-only resource into infrastructure that powers AI tools, support agents, and internal knowledge workflows. They share Mintlify’s early journey, including eight pivots, the two-day prototype that landed their first customer, and the “do things that don’t scale” sales motion that helped them win early traction. The conversation also covers why docs go out of date, what “self-healing” documentation requires to actually work, and how serving fast-moving customers has shaped both their product priorities and their pace.
Follow Jennifer Li on X: https://twitter.com/JenniferHli
Follow Yoko Li on X: https://twitter.com/stuffyokodraws
Follow Han Wang on X: https://twitter.com/handotdev
Follow Hahnbee Lee on X: https://twitter.com/hahnbeelee

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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Inferact is a new AI infrastructure company founded by the creators and core maintainers of vLLM. Its mission is to build a universal, open-source inference layer that makes large AI models faster, cheaper, and more reliable to run across any hardware, model architecture, or deployment environment. Together, they broke down how modern AI models are actually run in production, why “inference” has quietly become one of the hardest problems in AI infrastructure, and how the open-source project vLLM emerged to solve it. The conversation also looked at why the vLLM team started Inferact and their vision for a universal inference layer that can run any model, on any chip, efficiently.
Follow Matt Bornstein on X: https://twitter.com/BornsteinMatt
Follow Simon Mo on X: https://twitter.com/simon_mo_
Follow Woosuk Kwon on X: https://twitter.com/woosuk_k
Follow vLLM on X: https://twitter.com/vllm_project

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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In this feed drop from The Six Five Pod, a16z General Partner Martin Casado discusses how AI is changing infrastructure, software, and enterprise purchasing. He explains why current constraints are driven less by technical limits and more by regulation, particularly around power, data centers, and compute expansion.
The episode also covers how AI is affecting software development, lowering the barrier to coding without eliminating the need for experienced engineers, and how agent-driven tools may shift infrastructure decision-making away from humans.
Watch more from Six Five Media: https://www.youtube.com/@SixFiveMedia
 
Resources:
Follow Martin Casado on X: https://twitter.com/martin_casado  
Follow Patrick Moorhead on X:  https://twitter.com/PatrickMoorhead
Follow Daniel Newman on X: https://twitter.com/danielnewmanUV
 
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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

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Follow our host: https://twitter.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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