Matt Murphy | 20VC Summary

1. Key Themes

Ownership Dogma Is Dead in the Outlier Era

The traditional venture requirement of owning 15-20% to drive returns is obsolete when outcomes have scaled to hundreds of billions. Matt explicitly argues that being in a winner at a small percentage beats owning a large stake in a company that exits for $300-500M.

"You're better off being in them at a very small percent than owning a large percent of a company that exits for three to 500. Those just aren't going to move the needle." 00:09:47

The Anthropic Investment: A Case Study in Partnership Flexibility Over Fund Dogma

Menlo's ability to break its own rules — writing a starter check into a pre-revenue company at a $4B valuation and then leading a $500M+ SPV — was made possible solely by a flexible partnership culture. This is positioned as the defining organizational advantage.

"If I had a partnership that was more rigid around, hey, that doesn't fit, then this never would have happened." 00:07:04

Getting In Early as the Master Key to Future Rounds

The single most important competitive lever in venture today is early relationship-building, not valuation negotiation. Being on the cap table, even in a small way, dramatically increases the probability of leading or participating meaningfully in future rounds.

"If you get even a wedge into a company, you're 10x more likely to be able to participate significantly in the next round or lead." 00:46:24

The Barbell Strategy: Seed and Breakout Growth, Skip Series A

Series A is described as the worst risk-adjusted insertion point — companies have minimal PMF signal but command 200x ARR valuations. The smart strategic response is a barbell: go earlier (seed) and later (post-breakout growth), and skip the mushy middle.

"We've moved our... Early Growth to us meant like three to 10 million of ARR. Reality is like for the good companies, that window used to last like a year, year and a half. Now it lasts like a week." 00:32:51

Multi-Model Optimization Is the Next AI Wave

The first wave of AI adoption was "just get it running." The second, now emerging, wave involves sophisticated routing, cost optimization, and mixing frontier, open source, and custom-trained models. This has enormous implications for infrastructure companies like Open Router.

"Wave one of AI is like, let's just get it going. Wave two is like, let's get a lot more sophisticated about what we use and when and how." 00:22:45

Frontier Models Drive Revenue Better Than Open Source — Empirically

Rather than a theoretical defense of closed models, Matt cites actual application company data showing that Anthropic's models increase customer retention and user engagement versus open source alternatives, making the higher cost justified in ROI terms.

"Companies see this. Yes, I can get lower cost. But if I use Anthropic, it actually increases my customer retention. I generate more revenue. I get users to engage with the platform more. And that is what the data is suggesting now with a lot of application companies." 00:24:06

Triple, Triple, Double, Double Is No Longer Venture-Grade Growth

What used to be top 5% performance now looks like top 50% in the current environment. Growth benchmarks have been permanently reset upward by AI-native companies going from zero to $100M ARR in a single year.

"When we look around and see these companies doing zero to 100 in a year, never seen anything like it. And there's more examples of that than I can probably count right now." 00:48:03

Swim Lanes Are Gone — Full Stack Is the New Normal

The old venture world of defined stages and "negative signaling" from institutional investors at seed is over. Every major firm is now full stack, from seed through growth, and collaborative syndication is returning.

"This whole notion of swim lanes is gone. And that's just the times we're in." 00:36:33

Europe Producing Gritty Founders Worth Paying Attention To

The Deep Mind diaspora and the inherent difficulty of building in Europe is creating a cohort of exceptionally gritty founders. Menlo, historically US-focused, is actively spending more time there.

"If you have the grit to get off the ground in Europe, to be a global company, that says a lot about you." 00:43:32

Wealthier Investors Make Better Investment Decisions

Financial security at the individual and firm level removes the psychological anchors of downside mitigation and LP pressure, allowing focus to shift entirely to upside optimization — how big can this be?

"Richer investors make better investors because you do not worry about downside mitigation, but you focus on upside optimization." 00:51:38 — Harry Stebbings, affirmed by Matt Murphy

2. Contrarian Perspectives

Open Source Will Not Displace Frontier Models — Usage Data Says So

The conventional worry is that open source models approaching 96% of enterprise capability will commoditize frontier model revenue. Matt argues this is empirically wrong: companies that switched to or mixed in open source saw worse retention and engagement, and are switching back.

"I just don't think it can be powerful enough to really displace it... Companies see this. Yes, I can get lower cost. But if I use Anthropic, it actually increases my customer retention. I generate more revenue." 00:00:00

Small Boutique Seed Funds Will Be the Worst-Performing Venture Category This Vintage

Every LP currently wants the small, San Francisco-specific sub-$100M seed fund. Harry and Matt argue these are precisely the funds that will underperform because large full-stack firms are now writing equally competitive seed checks with far more follow-on firepower.

"I think one of the worst performing groups in terms of venture in this vintage will actually be the small boutique seed funds... firms like you and Founders Fund and Benchmark and Sequoia and Excel are so effective with a very good seed product that if you're a $50 million seed fund and you're writing $2 million checks, dude, I'm too big to be friendly and I'm too small to lead." 00:35:14 — Harry Stebbings

Neo Labs Are Massively Overheated and Most Will Fail

Despite the hype and large fund concentration into Neo Labs, Matt predicts most of the 60+ current Neo Labs will not produce independent outcomes. Acquihires won't absorb them all, and the market can't support 60+ independent model companies.

"There's no way in hell that we're going to have 60 independent model companies in addition to all the open source and everything. So I think that's way too big of rounds they've raised for where they are. Huge concentrated positions for some firms." 00:56:10

You Don't Need a Majority Vote to Make a Contrarian Call — High Trust Small Teams Work Better

The venture mythology holds that the best deals require one champion fighting against unanimous no votes. Matt rejects this, arguing that high-trust small partnerships consistently make better decisions without needing adversarial debate.

"I don't really ascribe to this point of view where you need like a bunch of no's and there's one person who's a yes and that leads to an outlier. I know there are examples of that, but that's not really been my experience." 00:49:36

Losing a Deal Is Rarely Existential — Obsessing Over Losses Makes You Worse

Matt points to losing Plaid at the one-yard line as something that felt career-defining at the time but turned out to be irrelevant to his trajectory. Dwelling on losses actively degrades future performance.

"At the time, I felt like when I lost that, that was like existential to my career and ability to win... one loss doesn't define anyone. You just got to keep going and finding that next big one." 00:53:14

3. Companies Identified

Anthropic

AI safety-focused frontier model company. Described as the defining investment of Menlo's current era — led by Dario Amodei, who left OpenAI to build a focused, safety-first frontier model company. Menlo wrote an initial $10M+ check at a $4B valuation pre-revenue, then led a $500M+ SPV. Anthropic has since partnered with Amazon (Bedrock) and Google (Vertex), and is described as the multi-cloud alternative to OpenAI.

"Who's better positioned to be the number two player than Anthropic? ...They've got a capital partner, a distribution partner, a technical partner, two of the biggest in the world. They're alternative to OpenAI, who's kind of tied to one cloud with Azure." 00:06:18

Lovable

AI-powered no-code/low-code creation platform targeting non-coders. Went from zero to ~$300M ARR in roughly one year. Menlo invested around the $150M ARR mark at a $6.2B valuation. Founder Anton is described as "the voice of the category" with a vision of making everyone a creator.

"This company is going to go from zero to 300 in a year. Or even if you assume it decelerates to whatever, a 3x growth rate, that's 300 to a billion... clearly this was an outlier, even amongst outliers." 00:19:17

Ligora (Leiga)

AI platform for legal workflows, serving corporate lawyers and law firms. Founded by Max, described as "an execution machine." Menlo participated in a recent round in the sub-$50M range. Positioned as defensible due to multi-party legal workflows (corporate clients, law firms, external counsel) that are too complex for a foundation model to displace.

"You need workflows that understand that. You need context even within the own law firm. So I think there's just a lot of value to build and create on top of all that." 00:31:00

Open Router

AI model routing and inference marketplace with massive organic developer adoption. Already wildly profitable at a scale Matt describes as shocking. Positioned at the center of the Wave 2 multi-model optimization trend. Menlo is on the board.

"This company, wildly profitable at a scale that would probably shock most people before this whole open source model, alternative model, model optimization market really takes off. I feel like we're just on the cusp of it and this company is already a beast." 00:28:34

Eleven Labs

AI voice synthesis company. Matt names founder Matty as one of the great European entrepreneur exemplars in the vein of Bezos and the Collison brothers — the company he most wishes he were in.

"I think an example of that in Europe... would be someone like Matty at Eleven Labs. Very big respect for him." 00:48:37

Chai Discovery

Neo Lab focused on drug and antibody discovery. Part of Menlo's portfolio of ~8 bio/health AI model companies.

"Others are like Chai, where it's like, hey, we're going to be very focused on creating drugs and antibodies." 00:55:42

Axiom Math

Neo Lab focused on mathematics. Graduated out of Menlo's Anthology fund (sub-$1M seed vehicle).

"The companies that have graduated out of that have been Open Router, Whisper, Axiom Math." 00:45:56

Gimlet

Infrastructure company building a technology layer to abstract underlying chip and compute stacks (like CUDA). Menlo portfolio company positioned in the underinvested developer infrastructure layer above foundation models.

"We're in this company called Gimlet, which is kind of like this technology layer to kind of obfuscate the underlying chips and technology stacks like CUDA, etc." 00:57:02

Assort Health

AI company focused on improving healthcare delivery workflows. Part of Menlo's portfolio addressing broken healthcare system operations.

"We did something like Assort Health for better health care delivery. Right. So like the whole medical system, which we all know is kind of broken." 00:58:03

Zaira / Vilia

Drug discovery AI model companies in Menlo's portfolio. Named as part of a cluster of ~8 companies building specific models for therapeutics.

"We have a company called Zaira, Vilia. I can go down the list of companies building specific models to do drug discovery." 00:58:03

Cerebras

Semiconductor/AI chip company. Cited as an example of a firm-defining spearfish investment in semiconductors, analogous to Menlo's Anthropic bet.

"What about Ari Vichry and Steve Vassalo with Cerebras? I mean, they directly did a spearfish on this one company." 00:40:52

Fireworks AI

AI inference optimization company. In Menlo's portfolio; Lynn (founder) appeared on the podcast the same day. Also cited alongside Open Router in the routing/inference infrastructure conversation.

"You've got Anthropic. You've got Lovable. You've got Ligora. You've got Open Router. You've got Fireworks." 00:37:12

Nebius

AI cloud/inference company. Cited as a potential competitor to Open Router in the routing space, though Matt argues developers don't wake up thinking about Nebius the way they do Open Router.

"What Open Router has is like they've just got this groundswell of organic activity with developers who come to them because they trust them." 00:27:49

Plaid

Fintech data connectivity company. Matt's "near miss" — lost at the one-yard line, which felt existential at the time but ultimately didn't define his career.

"We were at the one-inch line winning Plaid back in the day... at the point in time, I felt like when I lost that, that was like existential to my career." 00:53:14

4. People Identified

Dario Amodei

Co-founder and CEO of Anthropic. Former creator of the core work at OpenAI. Described as an "amazing technical thinker and researcher" who left OpenAI because it was doing too many things and launched Anthropic as the focused frontier model alternative.

"Dario was the creator of that within OpenAI... he's like, OpenAI is doing too many things. This is the one. This is the one big opportunity." 00:04:52

Tom Brown

Co-founder of Anthropic (with Dario). Met by Matt on the same intro call. Worked directly with Menlo's Tim Tully on technical diligence.

"Got on the phone with Dario and Tom the next day." 00:04:23

Anton (Lovable founder)

Founder of Lovable. Described as visionary, "the voice of the category," with a unique and distinctive plan to make everyone a creator — not just the current 1% of coders.

"Anton, he's very visionary. He's kind of the voice of the category. I think he's got some very unique and distinctive plans about why this kind of 99% of people... everybody who was never a coder and programmer, but making everyone become creators." 00:19:42

Max (Ligora founder)

Founder of Ligora. Described as "an execution machine and just a lovely person." Matt's diligence included watching his interview with Harry.

"Max is special, as you know. Part of my diligence was watching your interview with him. But he's just an execution machine and just a lovely person to be with." 00:30:01

Anjane Mita

Introduced Matt to Dario and Tom at Anthropic. Former associate/colleague at Kleiner Perkins under Matt. Described as having always been "in the flow" and "spiky."

"Anjane Mita was the one who introduced me. So Anj worked for me, with me at Kleiner Perkins when I was there as a young kind of associate. But he was so spiky at the time." 00:04:23

Tim Tully

Menlo partner, former CTO of Splunk. Conducted deep technical diligence on Anthropic alongside Tom Brown.

"My partner, Tim Tully, who's the CTO of Splunk. Great. Thankfully, part of the team we built out here. I had Tim to kind of dive in with Tom." 00:05:49

Matty (Eleven Labs founder)

Founder of Eleven Labs. Named by Matt as one of the great European entrepreneur exemplars — the company he most wishes Menlo were invested in.

"I think an example of that in Europe... would be someone like Matty at Eleven Labs. Very big respect for him." 00:48:37

Nirav (Anthropic executive)

Described as a "jack of all trades" executive at Anthropic who presented at Menlo's LP meeting and was so compelling that it directly triggered the decision to lead the $500M+ SPV.

"We had an Anthropic executive named Nirav... he blew everyone away. Like after the meeting, our LPs were like, this is crazy. Like this company is amazing." 00:12:48

Ravi and Byron

Investors brought into Anthropic's SPV syndicate by Matt. Names mentioned without firm identification.

"I had to give my friend Ravi and Byron a call to bring them into the round as well, which all worked out." 00:15:52

Chad (SUSE / Susa Ventures)

Seed fund investor. Matt's pick for best seed fund investment if he could only pick one — longtime relationship, mentee of Brooke Byers at Kleiner.

"I've had a great relationship with Chad at SUSE for a long time." 00:54:09

Brooke Byers

Kleiner Perkins veteran, quasi-mentor to Matt. Saw Chad grow under his influence.

"Brooke Byers was one of the quasi mentors of me when I was at Kleiner." 00:54:09

Bruce Dunleavy

Described as an "epic semiconductor investor." All his partners told him not to make his defining semiconductor investment, but he did it anyway.

"You had Bruce Dunleavy, like one, you know, epic semiconductor investor. And he's like, all my partners... told him not to do it." 00:40:58

Ari Vichry and Steve Vassalo

Investors in Cerebras. Cited as an example of a successful high-conviction spearfish in semiconductors against conventional partnership wisdom.

"What about Ari Vichry and Steve Vassalo with Cerebras? I mean, they directly did a spearfish on this one company." 00:40:52

Lynn (Fireworks AI founder)

Founder of Fireworks AI. Appeared on the podcast the morning of the recording. Expressed skepticism about value in the AI routing business.

"I just had Lynn from Fireworks on the show today. And... she was like, no. In the routing business?" 00:27:24

Venki

Menlo partner who joined with Matt roughly 10 years ago as part of the firm's rebuild.

"Menlo has always had a challenger mentality since myself and Venki came over a little over 10 years ago." 00:50:46

Mark Siegel

Menlo partner who was already at the firm and "put the band together" when Matt and Venki joined.

"Mark Siegel was the partner who was there who kind of put the band together." 00:50:46

Didi (Menlo partner)

Menlo partner who published analysis on the proliferation of Neo Labs, counting 60+.

"My partner, Didi, put out a tweet yesterday on how there's like 60 Neo Labs." 00:55:42

5. Operating Insights

Build the Relationship a Year Before the Round — Not Two Weeks Before

The single most common reason Matt loses deals is arriving late without a pre-existing relationship. The investor who has a year-long relationship and earned trust from a prior shared outcome has an effectively insurmountable advantage.

"The thing that's most often is that you were late to the party... you were not intentional enough that this was a company that you wanted to be tracking and building a relationship. So you're coming in a couple of weeks or a month before the round and somebody else has a year long relationship. That's usually a death knell." 00:44:05

Use a Small Seed Portfolio as a Proprietary Deal Flow Engine

Menlo's Anthology Fund writes $100K–$1M checks into 50+ seed companies. The explicit purpose is not fund returns but to get on cap tables early, build relationships, and identify the breakouts to concentrate capital into. Graduating companies include Open Router, Whisper, and Axiom Math.

"One, that gives us a bit of proprietary quote deal flow, but it gives you the opportunity to be in the cap table, get to know the entrepreneur, and then pounce when you see something's working." 00:46:24

Give Partners Fast, Autonomous Seed Execution Authority

Menlo raised the threshold for a three-partner seed check from $3M to $8M — on the spot, no full IC process. In a market where seed rounds for top companies close in days, the ability to move at speed without bureaucratic approval is a structural advantage.

"We've got a specific seed strategy where three partners can write up to an $8 million check, like on the spot, that number used to be three. So we've kind of expanded the aperture and the flexibility for the team to move quickly." 00:33:51

Use LP Meetings as Conviction-Building and Capital-Activation Events

The November LP meeting where Nirav presented was not just a reporting event — it directly generated the conviction and inbound LP interest that funded the $500M+ Anthropic SPV two weeks later. LP meetings should be designed to activate co-investment appetite.

"We had had a bunch of inbound leading up to that. So we literally came out of that meeting and said, all right, we've got to do this... And two weeks later, we signed a term sheet." 00:13:16

When Winning, Resist the Urge to Sell — Let Outliers Run

The instinct to take chips off the table after large markups is the wrong reflex for true outliers. The appropriate action is to hold, add capital, and only consider partial exits (10-20%) for LP liquidity management, not as a portfolio management strategy.

"More than ever, we're in an environment where your outliers, your winners will compound and drive fund returns. So those are certainly not the ones you want to sell from." 00:14:55

6. Overlooked Insights

Open Router Is Already Wildly Profitable — Before Its Real Market Has Arrived

This was mentioned briefly and almost in passing, but it is extraordinary. Open Router is already generating profits at a scale Matt says "would probably shock most people" — and this is before the Wave 2 multi-model optimization market has even meaningfully emerged. A profitable infrastructure marketplace sitting at the exact intersection of every AI cost-optimization trend (open source adoption, multi-cloud, inference routing) with organic developer trust is an asymmetrically positioned business. No one in the conversation stopped to fully unpack what it means that this company is already profitable before its core market has taken off.

"This company, wildly profitable at a scale that would probably shock most people before this whole open source model, alternative model, model optimization market really takes off. I feel like we're just on the cusp of it and this company is already a beast." 00:28:34

The AI Infrastructure Layer (Observability, Agent Frameworks, Developer Tooling) Is Underinvested Because of a False Negative from 3-4 Years Ago

Matt briefly mentions that many investors have a mental scar from backing AI infrastructure companies 3-4 years ago that failed to pan out. Those failures were largely because the ecosystem was too immature and single-model, so the surrounding tooling had no customers. Now the ecosystem has exploded and the same infrastructure problems are real and urgent — but the category has a bad reputation from the prior cycle, meaning fewer investors are chasing it. This is a textbook false-negative-driven mispricing: the companies failed for structural market-timing reasons, not because the problems weren't real.

"There was a bit of a false negative on some of the infrastructure stack. Whether it's like observability, agent frameworks... people were very focused on like single models. So you didn't need all this surrounding infrastructure. But now the whole ecosystem has gotten so much bigger... I think we started off investing in that area two, three years ago. Nothing really came out of it. Now these companies are really taking off." 00:56:38