The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: Is SaaS Dead in a World of AI | Do Margins Matter Anymore | Is Triple, Triple, Double, Double Dead Today? | Who Wins the Dev Market: Cursor or Claude Code | Why We Are Not in an AI Bubble with Anish Acharya @ a16z
09 Feb 2026
Chapter 1: Why does building an AI company today require being in San Francisco?
you have this innovation bazooka with these models, why would you point it at rebuilding payroll or ERP or CRM? The general story that we're going to vibe code everything is flat wrong and the whole market is oversold software. Now, an interesting topic that's not discussed is the cost of transitioning from one SaaS provider to another going dramatically down.
I don't think we're allowed to believe in luck at Andreessen. We have to see 100% of the deals in our domain and that we win 100% of the deals that we go after.
This is 20VC with me, Harry Stebbings. Now, one of the most played shows that we've done recently was Alex Rampell at Andreessen.
Chapter 2: What is the 'SaaS Apocalypse' myth and why is it misleading?
They are on a fricking tear, and I'm so excited to welcome another incredible GP from Andreessen today, Anish Akaiya, GP at Andreessen, where he leads consumer and fintech investing at Series A. He serves on some incredible boards, Deal, Mosaic, Clutch, Titan, and one that I really want to invest in, Happy Robot. And he's led early bets in some incredible companies like Runway and Carbonated.
Before Andreessen, he founded and sold two startups, Snowball, which was acquired by Credit Karma, and Socialdeck, which was acquired by Google. And he also scaled Credit Karma's US car business to over 100 million members.
Chapter 3: How are AI agents breaking the lock-in of legacy software providers?
But before we dive into the show today, over 80% of Fortune 100 companies are running their businesses with Airtable. Airtable combines AI with the scale of an award-winning, infinitely flexible no-code system, a platform where you can see all of your data in one place and use it to make really big picture decisions.
Chapter 4: Why is the developer tool market compared to Cloud rather than ride-sharing services?
Think of it like mission control for your company. Airtable goes beyond organization and automating repetitive tasks. It lets you use your data to inform strategy, monitor progress, and take action. Every cell is capable of performing hundreds of AI-powered tasks like web research or localization.
and using those results to inform and update hundreds or thousands of other sales and workflows in real time.
Chapter 5: Who wins the AI distribution war: incumbents or startups?
Unlock the true scale of your workflows at www.airtable.com forward slash 20 VC, Airtable, the infrastructure of innovation. And just like Airtable organizes your workflow data, MetaView organizes your conversation insights. This episode is brought to you by MetaView. Who says hiring has to be fair? Every founder, VC, and exec I speak with knows this.
Your ability to hire is the biggest constraint on your company's growth. But recruiting is slow, it's subjective, and only getting more competitive. And that's why teams like Eleven Labs, Brex, Replit, Deal, and 5,000 other organizations use MetaView, the AI company giving high-performance teams a real unfair advantage in hiring.
Chapter 6: Do margins matter in a world driven by AI?
MetaView's built a suite of AI agents that behave like recruiting coworkers. They proactively find candidates, they take interview notes automatically, and they help you surface the best candidates in process. For the first time, AI handles the recruiting toil and gives you a single source of truth.
That means hours saved per hire and a team focused on what matters most, winning the right candidates as fast as possible. Don't let your competitors out-hire you. MetaView customers close roles 30% faster.
Chapter 7: Why are we not in an AI bubble right now?
Try MetaView today and get a free month of sourcing at metaview.ai forward slash 20VC. After MetaView captures what was said, Turing helps you build with the people who can deliver after it. Frontier labs keep facing the same limitation. Models perform well on benchmarks, but they fall short once they enter real coding tasks, real tools, and real workflows.
That disconnect between synthetic evaluation and actual system behavior is now a core block off for agentic models. That's why NVIDIA, Anthropix, Salesforce, Gemini, and other leading lab partners partner with Turing. Turing is the research accelerator focused on post-training reliability.
They build realistic RL environments, next generation data quality systems built from real world operational traces and coding data sets that stress models under conditions where failures matter. state changes, workflow branching, brittle tool calls, and the coding errors that break RL agents but never appear in benchmark reports.
Chapter 8: Is 'Triple, Triple, Double, Double' dead in today's market?
In reality, a model may demonstrate correct reasoning in your evaluation setup, yet still select the wrong parameter or mishandle a code update in a realistic interface. Turing makes that failure visible and gives teams the signal they need to fix it. For labs advancing agentic systems, Turing provides the structure required to understand why these failures occur.
To find out how, visit Turing.com forward slash 20VC. That's T-U-R-I-N-G dot com forward slash 20VC. You have now arrived at your destination. Anish, dude, I've wanted to do this for a while. We've been going back and forth. Yes, we have. And so I'm so glad that we can do this in person. Thank you for joining me. Of course. Thank you for having me. I'm diving right in.
We were just chatting now and I was saying, I think it's better to build in London than in SF or in other places other than SF. Talent is cheaper. It retains for longer. You don't have the promiscuity of people jumping from role to role. You've built a company now, both in Canada and in SF. How do you reflect on what I just said?
I disagree with you. I wish it was true. I simply wish it was true, and I want it to be true, and maybe it will be true, that it will be, you know, the whole thing that we always love to say to ourselves around sort of talent and opportunity not being, you know, talent is equally distributed opportunity. It's not. The truth is that cities are the original network effect.
And for technology, there is a network effect for builders in SF. And for this moment in technology, right, where so many of the secrets are these sort of things whispered down shadowy hallways, the benefit of being in SF is enormous. There's also, we just talked about this, there's a selection bias question. Do you care enough to make it happen in SF?
You can make it happen anywhere in New York, London, Toronto, Tel Aviv, you name it. But there's something different about saying I'm going to give everything else up and be singular in my focus and move everything else up to make it happen.
Are there any other locations where you think there is actually positivity associated with there being located there?
Tel Aviv. I think Tel Aviv, you can be incredibly ambitious and uncompromising on that ambition and have a really, really good reason to be there. I think the other nice thing about the Tel Aviv ecosystem is that the country is so small, it's 10 million people, that you can't possibly fool yourself into thinking that the domestic market is going to be big enough for whatever you're doing.
So you immediately go outside. Whereas if you're in London, there's 60 million people here. Okay. And you might say, well, that's actually a lot of people. And you know what? There are parts of the market like fintech where the LTVs are so high that perhaps 60 million is sufficient. But for most mass market products, it's just not sufficient.
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