The AI-Native GTM Playbook | Sam Blond, Monaco

The AI-Native GTM Playbook | Sam Blond, Monaco

Sam Blond is the Co-founder and CEO of Monaco, the revenue engine for startups. Sam is one of the best sales operators in tech. He spent four years as CRO at Brex, where he helped scale it to a ~$12B valuation, ran sales at Zenefits before that, and got his start at EchoSign. If there’s a modern GTM playbook, Sam helped write it. Our conversation walks through how AI has rewritten a big chunk of it. But most importantly, we talk about what hasn’t changed. We get into the sales work AI is now better at than humans, and why Sam thinks 90% of startups misdiagnose their bottleneck as conversion when it’s really demand gen. He explains why he doesn’t measure early brand marketing at all and trusts anecdotes over attribution, walks through the full Monaco launch playbook including the Super Bowl box-truck story, and shares a rev-ops insight from Brex, including how they figured out a specific ICP converted at 4x the rate of another. Thank you to Numeral, Flex, Amplitude, and Merge for supporting this episode. Numeral: The end-to-end platform for sales tax and compliance https://www.numeral.com Flex: Get premium banking and a net 60 day credit card at 0% APY https://home.flex.one/referral/bananacapital Amplitude: AI analytics, all you have to do is ask https://www.amplitude.com Merge: Every modal. One API. Total control. Check out Merge’s Agent Handler. https://www.merge.dev/agent-handler/employees Timestamps: (0:00) Scaling Brex to $12B (1:14) How AI speeds up prospecting and TAM building (5:19) Using AI to get more leverage (9:15) Incubating Monaco at Founders Fund (12:56) Innovator’s dilemma in AI (15:57) Why AI companies build full platforms, not wedge products (23:30) Revenue is just a math equation (27:18) Two ways AI increases conversion rates (36:56) AI will never replace spending time with customers (39:46) Don’t measure the impact of brand marketing (49:03) Your marketing must be different (and hard) (58:39) Customer discovery calls and working with design partners (1:03:03) The zero to 100 launch (1:11:00) Monaco’s launch playbook (1:19:00) Send gifts that are unique and social (1:22:17) Naming your company (1:28:04) Founders should send early outbound (1:32:38) How multi-channel augments AI outbound (1:39:42) Using intent signals and outreach timing to increase conversions (1:43:28) Two common ways founders mess up when scaling revenue (1:50:22) Monaco’s Forward Deployed AE's Referenced Try Monaco: https://www.monaco.com/ Careers at Monaco: https://jobs.ashbyhq.com/monaco Sam’s launch post: https://x.com/samdblond/status/2026420015793320129?s=20 Follow Sam Twitter: https://x.com/samdblond LinkedIn: https://www.linkedin.com/in/sam-blond-791026b/ Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Inside the First Quant-Driven VC Fund | Nuno Goncalves Pedro, Chamaeleon

Nuno Goncalves Pedro is the Founder and Managing Partner at Chamaeleon. He won't describe it this way, but I'd call Chamaeleon something like "The RenTech of VC." Chamaeleon is built around its proprietary data platform, Mantis, which borrows tools like factor analysis from public-market investors and operates more like a quant hedge fund than a traditional venture firm. We talk through a bunch of data that cuts against the common narrative in venture, including why repeat founders aren't always the safer bet, why sub-$100m funds catch the majority of fund-returning deals, and why 10x might be a better target than 100x. Thank you to Numeral, Flex, Amplitude, and Merge for supporting this episode. Numeral: The end-to-end platform for sales tax and compliance https://www.numeral.com Flex: Get premium banking and a net 60 day credit card at 0% APY https://home.flex.one/referral/bananacapital Amplitude: AI analytics, all you have to do is ask https://www.amplitude.com Merge: Every modal. One API. Total control. Check out Merge’s Agent Handler. https://www.merge.dev/agent-handler/employees Timestamps: (1:00) When 1st time founders outperform serial entrepreneurs (8:05) Mantis: factor-driven quant model for VC (18:33) Why most VC’s are not data-driven (22:28) Top 1% VC fund performance (27:41) Early customer sentiment stronger success indicator than PMF or Team (34:09) Importance of co-investors on performance (39:42) Sub-$100M funds capture 70% of fund-returning deals each year (43:53) The Neolab AI bubble (52:16) Marketing games that VC’s play (55:22) Most investors are not high conviction (56:43) Startups not raising for at least 3 years are 5x less likely to succeed. 10x less likely at 5 years. (1:00:19) Emerging managers have lowest LP interest in the last 15 years (1:11:19) LP capital is much less concentrated than in 2011 (1:16:28) The importance of remaining relevant (1:21:01) You must lean into your unique edge as an investor (1:23:18) Pros/Cons of an alumni network venture strategy (1:28:29) Specialist funds outperform generalists (with a catch) (1:35:22) The data says go for 10x, not 100x returns (1:41:41) Should you start or join a VC firm today? (1:48:07) Nuno’s collection of 270+ phones (1:53:16) Racing cars (and winning championships) Referenced Chamaeleon: https://www.chamaeleon.vc/ Tech Deciphered Podcast https://decipheredshow.com/ Say It With Charts: https://www.amazon.com/Say-Charts-Executives-Visual-Communication/dp/007136997X How To Lie With Charts: https://www.amazon.com/How-Charts-Gerald-Everett-Jones/dp/1419651439 Redmagic Phone: https://redmagic.gg/ ASUS Rog phone: https://rog.asus.com/phones/rog-phone-model/ Follow Nuno LinkedIn: https://www.linkedin.com/in/ngpedro/ Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

15 Hot Takes on VC and AI from the 2026 Allocate Beyond Summit

I just attended Allocate’s Beyond Summit in Deer Valley Utah. It was a peek into what the top VC's and LP’s are thinking about right now. Allocate asked me to record an episode of the show, live from the conference. So I asked everyone “What’s your hottest take on the VC market today?” Thank you to Numeral, Flex, and Amplitude for supporting this episode Numeral: The end-to-end platform for sales tax and compliance https://www.numeral.com Flex: Get premium banking and a net 60 day credit card at 0% APY https://home.flex.one/referral/bananacapital Amplitude: AI analytics, all you have to do is ask https://www.amplitude.com Timestamps: (1:22) Seed investing is dead (Tripp Jones, Uncork) (5:56) Seed is not dead (Bryan Rosenblatt, Sandlot) (13:19) Most consensus era of VC ever (Nate Williams, Union) (18:02) Taking the Power Law Pill (Pratyush Buddiga, Susa Ventures) (29:15) The 2nd-time founder premium is dead (Matt Cohen, Ripple Ventures) (32:46) AI will crush intelligence labor (Clark Cheng, Merrimac) (42:25) New deep tech investors will lose their shirts (Sunil Nagaraj, Ubiquity Ventures) (46:39) ChatGPT for robotics is still 15 years away (Sungjoon Cho, Fortitude Ventures) (52:07) The app layer ARR reckoning (Josh Christensen, Mercato) (58:30) The AI bubble will pop in Q2/Q3 (Amias Gerety, QED) (1:08:22) Most individuals do VC wrong (Jon Oberheide) (1:15:25) Allocators have become too allocator-y (Dan Feder, University of Michigan) (1:20:55) LP’s should value information, not just returns (Ben Ivey, Marshall Street) (1:24:09) Upcoming litigation of Russian doll SPVs (Asher Siddiqui, Song United) (1:30:13) Why retail needs private market access (Sarah Pinto Peyronel, Robinhood Ventures) Referenced https://beyondsummit.allocate.co/ Tripp Jones, Uncork Capital Twitter: https://x.com/thistrippjones Bryan Rosenblatt, Sandlot Twitter: https://x.com/BRosenblatt4 Nate Williams, Union Twitter: https://x.com/naywilliams Pratyush Buddiga, Susa Ventures Twitter: https://x.com/pratyushbuddiga Matt Cohen, Ripple Ventures Twitter: https://x.com/mattybcohen Clark Cheng, Merrimac LinkedIn: https://www.linkedin.com/in/clark-cheng-cfa-frm-caia-a411535 Sunil Nagaraj, Ubiquity Ventures Twitter: https://x.com/sunilnagaraj Sungjoon Cho, Fortitude Ventures Twitter: https://x.com/josungjoon Josh Christensen, Mercato LinkedIn: https://www.linkedin.com/in/joshjdmba/ Amias Gerety, QED Twitter: https://x.com/amiasmg Jon Oberheide Twitter: https://x.com/jonoberheide Dan Feder, Michigan LinkedIn: https://www.linkedin.com/in/danfeder Ben Ivey, Marshall Street LinkedIn: https://www.linkedin.com/in/benivey Asher Siddiqui, Song United LinkedIn: https://www.linkedin.com/in/ashersiddiqui Sarah Pinto Peyronel, Robinhood Ventures Twitter: https://x.com/SPintoPeyronel *This podcast is produced by Allocate for informational and educational purposes only and is intended for institutional, accredited, and qualified investors. Nothing discussed constitutes an offer to sell or solicitation to purchase any security or advisory service, and nothing should be construed as legal, tax, or investment advice. Any offering will be made only pursuant to applicable confidential offering documents. Views expressed by participants are their own and subject to change. Any discussion of target returns, projected outcomes, IRRs, MOICs, or other performance metrics is hypothetical and illustrative only and should not be relied upon as an indication of future performance. Investments in private funds are speculative, illiquid, and involve substantial risk, including possible loss of the entire investment. Past performance is not indicative of future results. Certain guests may have financial or other interests in the opportunities discussed. Allocate Management Company, LLC is an SEC-registered investment adviser. Registration does not imply any level of skill, training, or SEC endorsement. Please consult your own advisors before making any investment decision.*

Building Got Easy. This Startup Solves What to Build | Alfred Wahlforss, Listen Labs

Alfred Wallforss is the Co-founder of Listen Labs, the AI customer research company. Companies like Microsoft use Listen to run AI-powered customer interviews, and Alfred talks about how they first landed them as a customer at a pitch competition. We talk why startups should pursue enterprise customers early on, why 85% of survey answers are random clicks, how AI is changing the $140B market research industry, leveraging VC’s for customer intros, how to stand out when recruiting as a startup, and hiring for obsession. Thank you to Numeral, Flex, and Amplitude for supporting this episode Numeral: The end-to-end platform for sales tax and compliance https://www.numeral.com Flex: Get premium banking and a net 60 day credit card at 0% APY https://home.flex.one/referral/bananacapital Amplitude: AI analytics, all you have to do is ask https://www.amplitude.com Timestamps: (0:14) Listen: AI customer research tool (7:30) Fraud is a big problem in customer research (9:06) The $140B customer survey industry (12:08) Why running customer surveys is so hard (16:03) AGI will never replace humans (18:25) Surveys vs interviews (21:13) Importance of emotion in data collection (22:54) Using AI interviews to get product feedback (26:15) Building digital twins creates better data (32:22) Outperforming generic AI tools (34:17) Sweetgreen’s Max Protein Bowl (36:09) Jevon’s Paradox in customer research (40:37) Quantitative vs qualitative (42:38) Landing Microsoft as an early customer (44:50) Targeting enterprise customers from day 1 (48:05) Building a VC customer intro leaderboard (51:53) Recruiting with billboard games (57:20) Hiring for obsession (1:02:07) Alfred’s favorite movies (1:03:53) Listen’s custom agent harness (1:06:24) Velocity Fellowship for Swedes moving to SF (1:08:34) Growing up with entrepreneurial older brother (1:09:46) No shoes in the office Referenced Try Listen: https://listenlabs.ai/ Careers at Listen: https://listenlabs.ai/careers Sweetgreen protein bowls: https://listenlabs.ai/case-studies/sweetgreen Toni Erdmann: https://www.imdb.com/title/tt4048272/ Episode with Erik @ Modal: https://www.thespl.it/p/building-ai-native-infrastructure Follow Alfred Twitter: https://x.com/itsalfredw LinkedIn: https://www.linkedin.com/in/wahlforss Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Inside the AI Sprint, Understanding Anthropic's Strategy | Tomasz Tunguz, Theory Ventures

Tomasz Tunguz is the Founder and General Partner of Theory Ventures. We talk about today’s “all out sprint” in AI, Anthropic’s strategy, the three layers of AI business models, how AI compares to prior technologies, where to invest in AI today, and what Theory looks for in new investments. Thank you to Numeral, Flex, and Amplitude for supporting this episode Numeral: The end-to-end platform for sales tax and compliance https://www.numeral.com [https://www.numeral.com] Flex: Get premium banking and a net 60 day credit card at 0% APY https://home.flex.one/referral/bananacapital [https://home.flex.one/referral/bananacapital] Amplitude: AI analytics, all you have to do is ask https://www.amplitude.com [https://www.amplitude.com] Timestamps: (0:42) The “all out sprint” in AI today (1:40) Why GPU prices are up 116% in six weeks (6:34) AI infra end-state: “We’ll over build” (9:12) Tokenmaxxing, and why AI needs to get more efficient (15:48) AI models will resemble pharma more than software (19:52) Why Anthropic still trades at a discount (25:42) Anthropic’s strategy: commoditize the compliments (30:29) Why OpenClaw is so strategic for OpenAI (34:08) The three layers of AI business models (38:18) Where to invest in AI today (45:49) Who will survive SaaSpocalypse? (52:15) Comparing AI’s impact to historical technology cycles (57:34) How new technology historically impacts jobs (1:05:58) Where AI is underrated today (1:10:41) How people are actually buying AI products (1:14:06) Why Theory’s investing in ads, inference, and email (1:16:24) 2026 IPO pipeline, how VC has changed over 20 years (1:20:56) What Theory looks for in new investments (1:22:32) Starting Theory Ventures in 2022 (1:25:39) Running a monte carlo analysis to determine portfolio construction (1:27:54) Tomasz personal AI projects Referenced Theory Ventures: https://theoryvc.com/ Tomasz Blog: https://tomtunguz.com/ Follow Tomasz Twitter: https://x.com/ttunguz LinkedIn: https://www.linkedin.com/in/tomasztunguz Follow Turner Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak Subscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/