Fund/Build/Scale

Thanks to AI, you could have an idea for a startup on your way home from work Thursday and finish a rough prototype by Monday morning.
That's great news for founders, but it also raises the bar: if everyone can build a convincing demo, what actually separates a durable company from a clever prototype?
To explore that question in depth, I interviewed Alex Niehenke a partner at Scale Venture Partners since 2012. He invests in early-stage companies tackling complex industries like insurance, wealth management, construction, and logistics.
We discuss why product innovation has to be paired with distribution innovation, how he judges your TAM estimate, how founders create entirely new categories, and what investors are looking for now that building software has never been easier.
RUNTIME 41:43
 
EPISODE BREAKDOWN
(02:58) Overview: Scale Venture Partners
(04:42) What Makes Slow-Moving Markets Attractive?
(06:19) Product Innovation Needs Go-to-Market Innovation
(08:58) Why TAM Is Really a Test of Strategic Thinking
(12:03) At Least Two-Thirds of My Investments Are Category Creation
(15:54) What Founder-Market Fit Means in the AI Era
(21:41) What Makes a Vertical AI Startup Fundable?
(24:52) What Separates a Nice Demo from a Durable Business?
(27:11) Selling Into Hard Markets
(33:03) When Regulation Becomes a Competitive Advantage
(34:52) Founder-Led Go-to-Market Wins Early
(37:01) Why Obsession Still Matters Most
LINKS
Alex Niehenke
Scale Venture Partners
Tessa Lau, CEO/Founder, Dusty Robotics
Deep Tech Without Stealth: Inside Dusty Robotics’ Origin Story, Fund/Build/Scale
Root Insurance
Motive
Shoe Dog, Phil Knight
Building something that’s hard to explain?
That’s often a sign you’re working on something interesting. It can also cost you fundraising, sales, hiring, and media opportunities.
I help early-stage founders sharpen the narrative around what they’re building: what matters, why now, who needs to care, and why they’re the right team to make it happen.
If you’re preparing for a raise, launch, important customer meeting, panel, or hiring push, I can help you pressure-test the story before the stakes get higher.
👉🏾 Learn more
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A lot of founders assume raising venture capital is just part of the process: you have an idea, build a deck, find some investors and start pitching. But what if you don't actually need the money yet?
Elia Wallen is the founder and CEO of Engine, a business travel platform valued at $2 billion. He bootstrapped his first company and resisted raising outside capital for Engine until the business was growing faster than he could support on his own.
In this episode, we talk about why raising too much money too soon can lead founders astray, how to tell the difference between needing capital and craving validation, why early-stage equity may be the most expensive money you'll ever raise, and how to know when your company is actually ready to start talking to investors.
We also get into the risks of letting investors steer a company before product-market fit, why founders should pressure-test how much money they really need, what Elia means by having "conviction with rationale," and why the opportunity should be pulling you forward before you raise.
RUNTIME 35:13
 
EPISODE BREAKDOWN
(1:40) What is Engine?
(3:25) Why ignorance can be an advantage
(5:38) Are you raising money for validation?
(8:58) What constraint teaches founders
(10:57) How much money do you actually need?
(17:44)When it actually makes sense to raise
(21:18) How investors can pull you off course 
(26:38) Equity is more expensive than you think
(30:55) How to know when you're ready to raise
LINKS
Elia Wallen
Engine
The Case for Raising Less Money Than You Can, Inc.com
Building something that’s hard to explain?
That’s often a sign you’re working on something interesting. It can also cost you fundraising, sales, hiring, and media opportunities.
I help early-stage founders sharpen the narrative around what they’re building: what matters, why now, who needs to care, and why they’re the right team to make it happen.
If you’re preparing for a raise, launch, important customer meeting, panel, or hiring push, I can help you pressure-test the story before the stakes get higher.
👉🏾 Learn more
SUBSCRIBE
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Most startup fundraising advice focuses on how to get investors interested.
Ryan Ziegler sees the process from the other side of the table.
As a General Partner at Edison Partners, Ryan evaluates startups that have already survived one of the hardest phases of company building: finding customers willing to pay for what they've built. 
By the time founders reach him, the question is no longer whether the idea is interesting. It's whether the business is repeatable.
In this episode, Ryan explains why most startups shouldn't raise money even if they can, how investors separate durable customer demand from vanity metrics, what actually makes a company ready for Series A, and why founder self-awareness may matter more than a perfect pitch deck.
We also discuss customer reference calls, leadership scorecards, founder coachability, and why companies need an operating system before they try to grow.
RUNTIME 45:29
 
EPISODE BREAKDOWN
(2:37) How Edison Partners Finds Bootstrapped Companies Ready to Scale
(5:40) Why Most Startups Shouldn't Raise Money (Even If They Can)
(11:39) How Venture Capital Can Create False Signals About Product-Market Fit
(19:49) What Series A Readiness Actually Looks Like
(25:01) The Difference Between Real Customer Demand and Fundraising Theater
(27:35) Founder Transparency, Investor Trust, and Long-Term Partnerships
(33:32) Why Coachability Beats Founder Ego
(35:45) Building an Operating System That Scales Beyond the Founder
(38:21) A Practical Series A Readiness Self-Audit
LINKS
Ryan Ziegler
Edison Partners
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Conventional wisdom says the hardest part of building a startup is building the product.
Shanea Leven says the harder challenge is figuring out what customers will actually pay for.
Before co-founding Empromptu.ai, Shanea spent more than 15 years building products at companies including Google, eBay, Docker, and Cloudflare.
In this conversation, she explains why sales is every bit as complex as engineering, why customer interviews aren't enough to validate an idea, and why early-stage founders need to spend more time testing demand than perfecting roadmaps.
We discuss the case-study approach she uses to find customers, the controversial belief that the only real product validation is money, and what happened when a LinkedIn post generated a 1,000-person waitlist almost overnight. 
Shanea also shares how she used more than 100 customer calls to shape Empromptu’s direction, why she stopped fundraising when the company took  off, and the go-to-market challenges that still keep her up at night.
If you're a technical founder trying to figure out whether you're building something people truly want, this episode offers a practical framework for separating genuine demand from wishful thinking.
Listen to this episode if you're trying to figure out:
why sales validation should happen before you commit to a roadmap
how to find your first customers using the case study method
what a viral waitlist can teach you about product-market fit
how to distinguish customer feedback from customer demand
why technical founders need to learn sales earlier than they think
which early traction signals are worth trusting — and which aren't
how to validate an idea before spending months building it
RUNTIME 49:06
 
EPISODE BREAKDOWN
(3:16) What Is Empromptu.ai, and Who Is it For?
(6:25) Sales Is Just as Complicated as Engineering
(8:14) The Case Study Method for Finding Early Customers
(11:56) Why Al Is Rewriting the Product Playbook
(13:37)   The Only Real Product Validation Is Money 
(17:10) The S***ty Purple Website That Predicted Impromptu's Viral Launch
(21:38) What 100 Waitlist Calls Taught Shanea About Customer Demand
(26:28) "We evolved the platform."
(34:57) "Ninety-nine percent of VCs are great at one thing."
(36:20) The GTM Problem That Still Keeps Shanea Up at Night 
(39:02) A Process for Selecting Your First Sales/Marketing Hires
(40:59) Why She'd Hire a "Scrappy" Marketer Over a Former Meta Employee "Every Time"
(44:05) The Early Traction Signal She No Longer Trusts
(45:28) A 30-day Experiment Founders Can Run To Validate Their Idea
LINKS
Shanea Leven
Empromptu.ai
Empromptu raises $2M pre-seed to help enterprises build AI apps, 12/9/2025, TechCrunch
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Thanks for listening!
 – Walter

If you're building a startup, there are easier industries to choose than healthcare.
Sales cycles are long, regulations are complex, and earning the trust of providers and patients takes years.
In this episode, Mayo Clinic Platform Accelerate Director Jamie Sundsbak explains how healthtech founders can improve their odds of success.
We discuss what Mayo looks for in founding teams, why the program focuses on product development instead of fundraising, how startups use clinical data and physician feedback to refine AI products, and what healthcare systems are actually buying in today's market.
Jamie also shares lessons from reviewing hundreds of startup applications, the founding team profiles that stand out, why some companies gain traction while others stall, and what founders should know before building in one of the world's most regulated industries.
Listen to this episode if you're trying to figure out:
What Mayo Clinic looks for in healthtech founders
How to use customer feedback to improve AI products
Why some healthcare startups gain traction while others struggle
What health systems are actually buying in the AI boom
How to navigate the long road from MVP to clinical adoption
Watch on YouTube: https://youtu.be/whrR0IVHEOY
RUNTIME 38:35
 
EPISODE BREAKDOWN
(1:39) What Mayo Clinic Looks for in Early-Stage Healthtech Startups
(13:31) How Mayo Uses Clinical Data and Physician Feedback to Improve Products
(23:50) The Art of Creating Provider FOMO
(25:32) The Ideal Healthtech Founding Team
(29:29) Why OpenEvidence Won — and What Hospitals Are Buying Today
(36:03) Healthcare Is Hard. Here's Why Founders Keep Choosing It Anyway
LINKS
Jamie Sundsbak
Mayo Clinic Platform Accelerate
Most U.S. doctors are quietly using this AI tool. Few patients know about it, NBC News, 5/13/2026
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Thanks for listening!
 – Walter

Most startup advice assumes the biggest challenge is finding customers. But what happens when the demand is obvious and the real question is whether the technology can actually work at scale?
In this episode of Fund/Build/Scale, I sit down with Stanford professor and Inception Labs founder and CEO Stefano Ermon to discuss how a breakthrough research paper evolved into a venture-backed AI company serving enterprise customers.
Stefano explains why his team believed they needed a 10x advantage in speed, cost, or quality to compete with industry giants, and how they convinced investors to back an idea that was still largely unproven.
We explore the realities of building a deep-tech startup, including raising capital before product-market fit, assembling a world-class founding team, learning enterprise sales as a first-time CEO, pricing a new category of technology, and competing with companies like Google, OpenAI, and Anthropic.
Along the way, Stefano shares practical advice for technical founders trying to transform research into a business, de-risk ambitious ideas, and create evidence that investors can believe in before the market fully understands what they're building.
In this episode:
Why startups need a 10x advantage to stand out
Turning a research paper into a venture-backed company
Raising capital when the biggest risk is technical, not market demand
Why Inception Labs built before talking to customers
Learning enterprise sales as a first-time founder
The challenge of pricing a fundamentally new technology
What happened when Google announced its own diffusion models
How deep-tech founders can de-risk ideas before fundraising
The hiring lesson Stefano wishes he had learned earlier
📺 Watch this episode on YouTube 
RUNTIME 46:03
EPISODE BREAKDOWN
(0:00) From Research Paper to Startup
(2:11) Why AI Is So Expensive
(4:34) Turning Research into a Company
(7:47) The Bet Behind Inception Labs
(9:01) Raising Money for an Unproven Idea
(12:24) Building the Right Team
(14:27) Dividing Founder Roles
(16:32) Building Before Customers
(20:07) When Customers Started Calling
(21:47) Learning to Sell
(25:04) Pricing a New Category
(26:34) The Wrong First Customers
(31:16) Why Startups Can Beat Giants
(34:04) The 10x Rule for Startup Differentiation
(39:20) Building a Durable AI Company
(41:03) How to De-Risk a Deep Tech Startup
(42:40) The First 90 Days After Funding
(43:54) One Founder Lesson He Learned Too Late
LINKS
Stefano Ermon
Inception Labs
What Are Diffusion Models?, Stanford HAI
Inception raises $50 million to build diffusion models for code and text, TechCrunch, 11/6/2025
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Thanks for listening!
 – Walter.
 

Most technical founders can explain how their product works.
Far fewer can clearly explain why a customer should care.
In this episode, Cribl CMO Abby Strong shares what she has learned from building go-to-market teams and helping scale one of the fastest-growing companies in data infrastructure.
Drawing on her background in IT operations, product, and marketing, Abby explains why founders often struggle with messaging, how to know when you've found product-market fit, and what it takes to build demand before you have a large team or budget.
We also discuss category creation, customer discovery, the early signals that the market is pulling your product, and why your first marketing hire is probably not a CMO.
Watch this episode on YouTube: https://youtu.be/9TnFwRgy2fw
RUNTIME 45:19
 
EPISODE BREAKDOWN
[3:56] Why Technical Founders Struggle With Marketing
[09:58] When Should You Hire Your First Marketer?
[11:29] Marketing Before You Have A Marketing Team
[13:46] Why Marketing Takes Longer Than Founders Expect
[19:35] Your First Marketing Hire Is Probably Not A CMO
[25:23] Turning Features Into Outcomes
[27:15] Four Questions Every Founder Must Answer
[28:57] How To Understand A Technical Product
[32:44] Building Cribl's GTM Engine
[36:46] When The Market Starts Pulling
[42:09] Build Trust Before You Chase Scale
LINKS
Abby Strong (LinkedIn)
Cribl
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Thanks for listening!
 
 – Walter

What does it actually mean to build an AI-native company?
In this episode of Fund/Build/Scale, I talk with True Ventures Managing Partner Puneet Agarwal and Gather CEO/co-founder Mayank Mehta about how the startup evolved from an AI-powered customer feedback idea into a broader research and content platform for marketing teams.
We get into founder conviction before product-market fit, what investors actually look for when there’s little external signal, how the company reshaped its go-to-market strategy after realizing the original motion wasn’t working, and why Mayank rebuilt major parts of the business around AI workflows in real time.
There’s also a very tactical discussion about customer discovery, early hiring, AI-native operations, and a weekend growth experiment that produced more meetings in two weeks than the previous year of outbound efforts combined.
RUNTIME 51:33
EPISODE BREAKDOWN
03:18
What True Ventures Looks For at Seed
07:00
What Gather Actually Does
11:42
The Five-Slide Seed Pitch
17:21
What They Got Wrong Early
21:06
Rebuilding the Company Around AI
33:53
The Weekend GTM Experiment That Changed the Company
36:56
How Investors Read Founders Who Don’t Have Signal
41:15
Tactical Advice for First-Time Founders
49:18
One Experiment Founders Can Run This Week
LINKS
Puneet Agarwal
Mayank Mehta
Gather
True Ventures
Gather Growth Platform
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Thanks for listening!
 – Walter

For this episode, I interviewed Eugene Malobrodsky, partner at One Way Ventures and former founder of AnchorFree, the company behind HotSpot Shield, one of the first consumer VPN products to scale globally.
Before becoming a VC, Eugene spent 15 years building and scaling a startup through the 2008 financial crisis, painful layoffs, difficult fundraising environments, and the long grind from idea to acquisition. 
Today, he backs immigrant founders building applied AI, deep tech, fintech, healthcare, and enterprise startups at the pre-seed and seed stage.
Topics include:
Why many founders become founders for the wrong reasons
What venture capitalists really mean when they talk about “100x outcomes”
How to think about fundraising runway and dilution
Why technical founders often struggle with storytelling
What makes a startup venture-backable versus a profitable lifestyle business
The most common mistakes early technical teams make
How investors evaluate first-time founders with no track record
Why customer discovery matters more than building features too early
Why the best founders are often “angry at the problem” they’re trying to solve
He also spoke about what immigrant entrepreneurs misunderstand about networking in Silicon Valley, and the growing uncertainty around H-1B visas and startup immigration policy.
RUNTIME 56:28
 
EPISODE BREAKDOWN
(2:13) "I'm just not great at following directions and working for somebody else."
(5:44) How Working in VC Changed His Thinking
(7:42) What Founders Misunderstand About VC Funds
(20:53) A Practical Framework for Seed-stage Fundraising
(25:50) What Makes Him Take the Meeting
(31:19) Where One Way Ventures is Betting in Deep Tech 
(35:11) The Most Common Mistakes Technical Teams Make
(38:23) Why Founders Need a 90-second Story
(43:16) Growing Uncertainty for Immigrant Tech Workers and Founders
(51:33) Practical Networking Advice for First-time Founders
(54:38) The One Question H1-B Candidates Should Ask the CEO During an Interview
LINKS
Eugene Malobrodsky
One Way Ventures
Investing in Funds vs Investing as an Angel
One Way Ventures Expands to San Francisco from Boston with Eugene Malobrodsky, Co-founder of Consumer Privacy Company AnchorFree, Joining as Partner
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Thanks for listening!
 – Walter

A lot of early-stage founders can explain their company five different ways — and all five might be technically correct. The problem is that often, those answers don’t fully line up.
That gap in a startup’s narrative creates friction. 
Investors may understand the problem but still don’t feel like the story lands. Candidates may understand the product, but they’re not fully on board with the mission. Customers may hear the explanation but still struggle to repeat it clearly.
I’ve been inside meetings where the CTO described the company’s core value one way and the CEO had a different take.
In this episode, I break down the “narrative gap”: the distance between what a founder knows and what everyone else understands. 
I explain why technical founders often struggle to communicate even when they deeply understand their business and share several diagnostic frameworks you can use to test whether your story gives customers, investors, hires, and reporters confidence that you can execute.
RUNTIME 16:55
 
EPISODE BREAKDOWN
(1:52) Narrative is Not Decorative. Narrative is Load-bearing.
(3:30) Founder Diagnostics: 3 Questions That Pressure-test Your Story
(4:49) Your Message Is Not Your Pitch
(6:06) A Bridge Is Not A Destination
(7:42) Find The One Thing That Carries The Most Weight
(8:57) Ask, "What breaks without you?"
(10:30) Separate History From Story
(11:25) What's the First Sentence of Your Startup's Story?
(12:12) Pressure-test Your First Sentence In Different Rooms
(13:59) Putting It Together: Final Founder-narrative Diagnostic
(15:11) Use This Episode To Start Framing Your Narrative
 
I work with early-stage founders on narrative framing, media prep, fundraising communication, and public-facing storytelling. This is foundational work that helps your message hold up before investors, customers, candidates, reporters, and conference audiences.
If you’re getting ready to raise, hire, pitch, launch, or speak publicly, reach out: fundbuildscale@gmail.com
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📺 Watch Fund/Build/Scale on YouTube: https://www.youtube.com/channel/UCFFH4cs2B1BKatPGs8SFRJw
 
Thanks for listening!
 
 – Walter.