Unicorn Builders

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Learn from GTM journeys of B2B tech founders who’ve built companies worth more than $1 billion. This show is brought to you by FrontLines.io

  1. Why Kin spent $100M on direct response last year | Sean Harper

    6 DAYS AGO

    Why Kin spent $100M on direct response last year | Sean Harper

    Kin is reimagining how homeowners insurance is bought, priced, and delivered — stripping out the 400,000-agent distribution layer that legacy carriers depend on and replacing it with algorithms, aerial imagery, and address-level direct response marketing. In a recent episode of Unicorn Builders, we sat down with Sean Harper, CEO and Co-Founder of Kin, to learn how he navigated a near-death financing crisis, declared independence from a partner carrier with one week of runway left, and built a company that Nigel Morris — the founder of Capital One — called "the Capital One of insurance." Kin now serves more than 200,000 customers across more than half the U.S. Topics Discussed: Why Sean mapped every financial product category before landing on home insurance as his opportunity Kin's two pre-seed experiments: buying a legacy broker to get real conversion data and training image recognition algorithms to out-know incumbents on home traits The Capital One marketing model and why it translates perfectly to insurance — and why legacy Super Bowl ads are a fundamentally broken strategy for a risk business Kin's near-death experience: a partner carrier acquisition, a frozen growth model, and one week of runway left before regulatory approval finally came through How Kin declared independence — literally signing a "Declaration of Kin Dependence" — and what that moment meant for the company Navigating state-level insurance regulation: hiring domain experts, building regulator relationships through transparency, and lobbying to close fraud loopholes Why 2026 is Kin's first year as a true multi-product company, expanding into auto insurance and home equity financing GTM Lessons For B2B Founders: Replace survey data with real-market experiments before you raise. Before pitching institutional investors, Sean needed answers to two questions: will customers actually buy home insurance online, and can Kin's algorithms outperform legacy data collection on home traits? Rather than relying on surveys showing 70% of customers prefer buying online, he bought a small existing broker and ran real marketing experiments against it — getting actual conversion data, not stated preference. Simultaneously, he and his co-founder knocked on APIs and trained basic image recognition models against public data sources to test whether machine-generated home data could beat the industry's bar of asking a middleman. Both proved out. The sequencing matters: run cheap real-world experiments against your two biggest unknowns, prove them, then raise. It changes the nature of the fundraising conversation entirely. //  Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

    26 min
  2. How Chapter achieved 10x revenue growth while keeping corporate headcount flat for 2 years | Cobi Gantz

    17 MAR

    How Chapter achieved 10x revenue growth while keeping corporate headcount flat for 2 years | Cobi Gantz

    Chapter is building what CEO Cobi Gantz calls "the trust layer between seniors and AI" in Medicare navigation. After testifying before the Senate and helping pass regulations protecting seniors from data resale to cold-callers, Gantz scaled Chapter by abandoning direct-to-consumer advertising for enterprise partnerships with health systems, wealth managers, and content creators like Dave Ramsey. The company achieved 10x revenue growth over two years while keeping corporate headcount flat through aggressive AI deployment, demonstrating how tech-enabled services financial profiles now mirror AI-native companies. Topics Discussed: Government relations executed through enterprise sales frameworks  Strategic pivot from educational seminars to B2B partnership distribution  Influencer partnerships structured as exclusive, long-term enterprise deals  Anti-conventional hiring: zero healthcare or industry experience required  Tech-enabled services achieving SaaS-level unit economics through AI  AI-powered operational leverage replacing traditional headcount scaling GTM Lessons For B2B Founders: Execute government engagement yourself—consultants and lobbyists are value destruction: Gantz cold-emailed high-level government officials and secured meetings directly, applying enterprise sales methodology to regulatory advocacy. The process mirrors complex deals: "navigating the bureaucracy, knowing whose motivations lie where, understanding overall prioritization...it can take months or years." His hard rule: "Do not spend a lot of time and money on consultants and lobbyists. That is quite obviously not going to work." The founder CEO is dramatically more effective than intermediaries because you control narrative crafting and bring authentic conviction. Prioritization matters in politics—even obvious policies don't pass without someone making them a priority. Recognize when trust-building channels hit cost ceilings and pivot to trust networks: Chapter launched with Gantz personally delivering Medicare education seminars at synagogues and churches—valuable for feedback and initial traction but clearly unscalable. When they tested direct-to-consumer ads, Gantz discovered seniors "inundated with a lot of ads, some scams, some not scams" made trust-building prohibitively expensive. He pivoted to enterprise partnerships with organizations that already held trust: health systems fielding Medicare questions they couldn't answer, wealth managers whose clients needed guidance, and later content creators with established audiences. The unlock was accessing existing trust infrastructure rather than building it customer-by-customer through paid ads. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

    26 min
  3. How Eve transitioned from founder-led sales to repeatable motion with 600+ customers | Jayanth Madheswaran

    23 FEB

    How Eve transitioned from founder-led sales to repeatable motion with 600+ customers | Jayanth Madheswaran

    Eve reached unicorn valuation by identifying a structural market asymmetry: plaintiff attorneys operate on contingency fees with severe resource constraints while defending against well-funded corporate legal teams billing by the hour. In a recent episode of Unicorn Builders, we sat down with Jayanth Madheswaran, Founder & CEO of Eve, to explore how the company scaled from 13 to 120+ employees in twelve months while building workflow automation that saves hundreds of hours per case, enabling firms to maintain headcount while 3-5xing caseloads. Topics Discussed: Why plaintiff law economics (contingency fees, not billable hours) create natural AI adoption incentives The pivot from Butler's document extraction to Eve's end-to-end workflow automation covering client intake through settlement Scaling from two-person sales team to repeatable motion while growing 13 to 120+ headcount in twelve months Per-case pricing models that replace traditional per-seat SaaS economics Field marketing execution in attorney networks where conferences drive 40%+ of pipeline Embedding plaintiff attorneys in-house to build workflow context as competitive moat The marked inflection point when sales reps close deals independently without founder involvement Category evolution from workflow automation toward "service as software" replacing expert witness and paralegal line items GTM Lessons For B2B Founders: Target labor-constrained markets with structural capacity ceilings: Eve focused on plaintiff firms facing unlimited demand but fixed capacity, not defense firms optimizing billable hours. Plaintiff attorneys only collect fees when they win on contingency, creating direct economic incentive to automate. One Atlanta firm maintained headcount while adding enough capacity to take pro bono cases under their previous $5,000 minimum threshold. Identify markets where buyers face hard capacity constraints independent of budget—these customers adopt aggressively because growth is otherwise impossible. Price to the economic unit you're replacing, not seats: Eve charges per matter (case), directly mirroring how firms already pay external vendors like expert witnesses on a per-case basis. This wasn't innovation—it was pattern matching to existing budget line items. When replacing labor or external services, structure pricing around the unit of work completed rather than users or consumption metrics, especially if customers already have mental models for per-unit costs in adjacent spend categories. In relationship-driven verticals, physical presence compounds referral velocity: Eve's field team attends plaintiff attorney conferences where referral networks form—lawyers can now detect AI-generated emails and actively ignore digital outbound. Jayanth noted that in-person engagement led directly to word-of-mouth growth because the product gets used daily and customers discuss it within their networks. For trust-based B2B markets, calculate CAC including conference costs and travel—if your product has strong daily engagement, referral multipliers from in-person relationships typically justify 3-5x higher upfront acquisition costs. Hire domain operators as product builders, not advisors: Eve employs actual plaintiff attorneys in-house who determine where AI should and shouldn't penetrate workflows, identifying edge cases that become product features. Jayanth emphasized you need technical depth combined with intimate workflow knowledge to know "gotchas" in the vertical. For vertical SaaS, embedding 2-3 former operators directly in product and engineering—not as consultants—builds proprietary context competitors can't replicate through external research. Qualify early adopters on future-state vision before current pain: When building the sales team, Jayanth screened for customers already thinking daily about AI transformation who had their own hypotheses about workflow changes. These design partners co-created the "AI-native law firm" positioning that became market education content. In new categories, qualify early customers on whether they're already architecting the future you're building toward, not just experiencing acute pain—they'll tolerate product gaps because they're building alongside you. Mark sales scalability by founder removal rate, not pipeline metrics: Jayanth defined the transition to repeatable sales as when reps closed deals independently without him in the room—a "marked shift" that precedes mathematical optimization. He was still involved in every deal but specifically tracked what closed without his participation. Track founder involvement as a lagging indicator: when 80%+ of deals close without founder participation in any call, you have repeatable sales motion worth scaling aggressively. Implement minimal process constraints with maximum execution latitude: Instead of comprehensive playbooks or chaos, Jayanth set two boundaries for early sales: get paid when you close, and never misrepresent what exists versus roadmap. This prevented engineering overcommitment while maintaining iteration speed. The key insight: in trust-based markets, misrepresenting capabilities burns networks permanently. Establish 2-3 non-negotiable constraints (truthful product representation, payment terms, legal review thresholds) but otherwise grant full autonomy to optimize for learning velocity over consistency. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

    37 min
  4. Building StackAdapt: how three founders turned failure into a 1,600-person company | Vitaly Pecherskiy

    28 JAN

    Building StackAdapt: how three founders turned failure into a 1,600-person company | Vitaly Pecherskiy

    StackAdapt scaled from three co-founders in a studio apartment kitchen to a 1,600-person organization operating across 20 markets. In this episode of BUILDERS, Vitaly Pecherskiy, CEO and Co-Founder of StackAdapt, walks through the reality of building a programmatic advertising platform over ten years—including a payroll crisis that came down to emergency collections, the four-year grind from launch to true product-market fit, and the decision to go global during COVID that grew the team from 170 to 900 people in three years. Topics Discussed: The moment credit cards maxed out two days before payroll and the emergency collection calls that followed Why product-market fit took until 2018 despite launching in 2014 and understanding the industry problem Scaling from 170 people in one Toronto office to 900 globally in three years during COVID The transition from COO to CEO after nine years and rejecting the idea of "playing the role" Hiring a full-time videographer at 50 people in 2016—years before it became standard practice The "hot buttons" framework that's driven consistent messaging since 2015 Why leaders at 1,600 people still need to go "toe to toe" with individual contributors GTM Lessons For B2B Founders: Product-market fit takes longer than problem validation: StackAdapt launched in 2014 with deep industry knowledge—Vitaly and his co-founder had worked in programmatic advertising and felt the pain firsthand. But they didn't achieve product-market fit until 2018. The gap wasn't product quality; it was "figuring out how do we predictably and profitably acquire customers" and "where does our product need to go, how should we arrange our organization around key drivers behind our business." Domain expertise validates the problem exists, but GTM economics, organizational structure, and precise positioning require years of iteration. Don't confuse problem validation with PMF. Receivables management is a survival skill, not finance hygiene: When StackAdapt's credit cards maxed and payroll hit in two days, Vitaly looked at receivables and realized they had enough—if collected immediately. He called customers directly: "We need to collect today. Please wire us the money." It worked. The lesson wasn't just about cash flow—it fundamentally changed how they thought about the business. Vitaly noted this was "the first lesson in let's make sure that we're good at not just closing business, actually collecting the money." For founders: revenue doesn't exist until it's in the bank. Build collection velocity into your sales process from day one, not as a finance function downstream. Invest in creative infrastructure before it's "efficient": At 50-60 people in 2016, StackAdapt hired a full-time videographer—capturing behind-the-scenes footage, customer stories, and marketing content. Vitaly acknowledged "this was way before a lot of the trends today" but the decision created speed and depth. Later, they built an internal creative studio that serves customers but also powers their own marketing, shortening "timelines from idea to execution because it's all done in-house." The strategic insight: they weren't buying video production capacity; they were building institutional knowledge about their customers and product that an external agency could never develop. Bring creative in-house when speed-to-market and product understanding matter more than unit economics. Message consistency beats message innovation: StackAdapt identified 8-10 "hot buttons"—themes that resonated deeply with customers—and built all sales playbooks and marketing around them. The themes identified in 2015-16 are "still relevant" nearly a decade later. This runs counter to the instinct to constantly refresh positioning. The discipline wasn't finding new messages; it was "hammering that messaging basically for years." For founders: once you identify what truly resonates (not what sounds clever), commit to it. Consistency compounds in ways that constant repositioning never will. Geographic expansion during crisis unlocks talent arbitrage: COVID forced StackAdapt fully remote, which Vitaly reframed as "wait, we're stuck at home, we're fully virtual, let's go global." They grew from 170 people in Toronto to 900 globally across 20 markets between 2020 and 2023. This wasn't just headcount growth—it was access to talent pools that didn't exist when limited to one geography. Remote-first became a strategic advantage for both velocity and cost structure. The lesson: don't view distributed teams as accommodation; view them as competitive infrastructure for accessing global talent markets at scale. Leaders must maintain technical depth at scale: At 1,600 people, Vitaly still maintains he needs to "go down to individual contributor level and go toe to toe with them" on critical parts of the business. He pushes this philosophy company-wide: "If you're living in a culture where as a leader, sitting in a high chair, trying to just order people around... how do you know what's grounded into the reality?" This isn't about micromanagement—it's about maintaining technical credibility and understanding ground truth. He still joins customer calls and makes prospect connections. For founders scaling past 100+ people: the risk isn't that you'll stay too close to details; it's that you'll retreat into abstraction and lose your ability to make good calls. CEO transitions require rejecting borrowed playbooks: When Vitaly moved from COO to CEO after nine years, he initially tried to model himself on what a CEO "should" be. The breakthrough came six months in: "I don't need to play a role of a CEO. I just need to be the CEO." He realized every successful CEO brings different strengths—there's no universal profile. The job became simpler: "Are we building the best version of our company that will be successful long term?" For founders facing role transitions: stop optimizing for the role's expectations and start optimizing for the company's needs using your actual strengths. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

    28 min
  5. How Zocdoc survived near death, increased prices up to 100x, and turned around the company  | Oliver Kharraz

    16 JAN

    How Zocdoc survived near death, increased prices up to 100x, and turned around the company | Oliver Kharraz

    Zocdoc has transformed healthcare access in America, powering one in three new doctor-patient relationships in New York City alone. Founded 18 years ago by physician Oliver Kharraz, the company nearly died 10 years in when it was growing just 1% annually and losing money on every customer. The pivot from subscription to pay-per-booking required raising prices 10-100x for existing customers, changing federal and state laws, and rebuilding core infrastructure - all while the sales team stopped acquiring new business to convert the existing base. Oliver shares the brutal mechanics of that turnaround, why nearly all churned doctors eventually returned, and how Zocdoc is now expanding beyond its marketplace with AI-powered tools like Zo, their voice assistant that eliminates hold times by handling unlimited simultaneous calls. Topics Discussed: The near-death experience 10 years in: barely 1% growth, negative unit economics, months of runway remaining Managing thousands of emotionally charged conversations with doctors facing 10-100x price increases Why Oliver paused the New York rollout mid-execution after creating a burning platform with employees The strategic decision to target hardest-to-book specialties (primary care, OBGYN, dermatology) over acquisition-hungry cosmetic surgeons Managing tens of millions of sub-markets defined by neighborhood, specialty, and insurance combinations Transitioning from founder-led sales to enterprise motion while maintaining founder involvement 18 years later Going on offense: powering insurance directories, embedding in Google and Apple Maps, launching Zo AI voice assistant

    31 min
  6. How Augment Code achieved 80%+ win rates | Matt McClernan

    12 JAN

    How Augment Code achieved 80%+ win rates | Matt McClernan

    Augment Code is pioneering AI tooling for professional software developers in enterprise environments. The company has built infrastructure that understands complex codebases better than individual developers, targeting a massive market undergoing fundamental transformation. In this episode of Unicorn Builders, I sat down with Matt McClernan, CEO of Augment Code, who joined as CRO in November 2024 and transitioned to CEO in July. Matt shares how Augment carved out differentiation in an explosively hyped market, achieved an 80%+ competitive win rate, and why the biggest competitors might actually be validating their market opportunity. Topics Discussed The decision to join Augment as CRO in a crowded, hype-filled AI coding market  Building ICP definition and sales process from scratch in the first 90 days  Achieving 80%+ win rates in competitive scenarios by focusing on complex codebases  Navigating "coopetition" with frontier labs (Anthropic, OpenAI) similar to hyperscaler dynamics  Hiring mission-driven sellers willing to embrace risk and uncertainty Understanding enterprise  AI adoption phases across Fortune 100 to tech startups  Transitioning from CRO to CEO and the personal growth required //  Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

    21 min
  7. How Fireflies to Scaled to 700K organizations without touching any Series A Money | Krish Ramineni

    12 JAN

    How Fireflies to Scaled to 700K organizations without touching any Series A Money | Krish Ramineni

    Fireflies.ai reached unicorn status through a tender offer in 2024 — without raising primary capital since their Series A five years earlier. The company serves 700,000 organizations and reaches tens of millions of users monthly through meeting bot distribution. In this episode of Unicorn Builders, I sat down with Krish Ramineni, Co-founder & CEO of Fireflies.ai, to explore how the company rebuilt their entire product around LLMs in eight weeks, the brutal economics behind scaling PLG infrastructure, and why they're hiring TikTok creators over traditional B2B marketers as they prepare to expand beyond the meeting assistant category. Topics Discussed: The November 2022 inflection point when early GPT-3.5 access transformed product quality overnight Building to unicorn status without touching Series A capital—funding entirely from seed round revenue The infrastructure costs of supporting millions of users across AI processing, speech-to-text, and voice at PLG scale Vertical product strategy: deploying domain-specific speech models, summaries, and integrations for healthcare, finance, and VC use cases Marketing evolution from four years of zero spend to founder-led content and hiring consumer creators instead of B2B marketers Distribution mechanics: viral loops from bots joining tens of millions of meetings monthly across 100+ countries Category expansion beyond "AI note taker" into a 5x larger addressable market in 2026 // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

    32 min
  8. How Octane scaled to $400M revenue using small marketing teams that support partner brands instead of building their own

    7 JAN

    How Octane scaled to $400M revenue using small marketing teams that support partner brands instead of building their own

    Octane Lending operates in what most VCs would consider an "unfundable" market - powersports financing for motorcycles, ATVs, and UTVs. Yet Jason Guss and his team have built a profitable unicorn that originated over $6.5 billion since inception, is on pace for $2.2 billion in originations this year, and generated $400+ million in revenue with $29 million in GAAP net income. In this episode of Unicorn Builders, Jason Guss shares how Octane leveraged being dismissed by 95% of investors as a competitive advantage, evolved from a failed marketplace to a successful lender, and is now pioneering "Captive as a Service" to reach their ambitious goal of $10 billion in annual originations by 2030.   Topics Discussed: Octane's pivot from failed lending aggregator to successful direct lender Building profitably in a VC-unfriendly market category (fintech lending) The strategic advantage of competing against financial institutions rather than venture-backed startups Evolving from speed and credit advantages to comprehensive end-to-end solutions Launching "Captive as a Service" to white-label lending infrastructure for merchants and manufacturers Navigating the 2021-2023 market correction while maintaining profitability Long-term strategy for market expansion beyond powersports into auto and other recreational verticals   GTM Lessons For B2B Founders: Embrace being in an "unfundable" market as a competitive moat: Jason intentionally chose a market that 95% of VCs dismiss, explaining "I compete primarily against financial institution incumbents. I don't have to compete with other venture backed businesses." While this meant less access to capital and higher bars for fundraising, it eliminated the "race to the bottom" competition common in hot VC markets. B2B founders should consider that being in an overlooked market can provide sustainable competitive advantages if the TAM is large enough to support venture outcomes. Build for profitability from early stages when capital access is limited: Octane maintained profitability plans from Series B onward, with Jason noting "we always had a plan that would work since our Series B, that if we never raise a dime again, we'd be fine." This wasn't about never raising again, but ensuring they could "control their own destiny." B2B founders in less popular markets should prioritize unit economics and profitability early to reduce dependency on external funding cycles. Expand value proposition beyond core product to create switching costs: Octane evolved from just offering faster credit decisions to providing "lead management tools, content strategy, workflow tools, to the financing and lifecycle marketing." Jason emphasized that "the SaaS product is much weaker without the lending attached to it" and vice versa. B2B founders should look for adjacent problems in their customers' workflows that they can solve to create a more comprehensive, harder-to-replace solution. Partner with distribution channels that have aligned incentives: Rather than building direct-to-consumer, Octane focused on B2B2C through manufacturer partnerships. Jason explained they partnered with manufacturers "who knew that they were losing sales" and saw Octane as driving "extra sales." B2B founders should identify channel partners who have clear, aligned incentives for their success rather than trying to convince neutral parties. Use early product criticism as competitive fuel: Jason candidly shared "originally, our product was awful and we got tons and tons of negative feedback. But guess what, that negative feedback was absolute gold because we listened to it and we just kept making our product better." The key was having distribution partners (merchants and manufacturers) who were incentivized to provide honest feedback because Octane's success drove their sales. B2B founders should structure early partnerships where customers have skin in the game and will provide brutal, actionable feedback. Plan strategic evolution in 2-3 year waves rather than 10-year master plans: Jason described their approach as finding "something that's really underserved or an opportunity that we think is exciting" and riding "that wave as long as we can. And as we see the wave is petering out, we try to find the next mountain to climb." Their waves included: 1) speed and superior credit (2016-2018), 2) end-to-end purchasing tools (2018-2022), and 3) Captive as a Service (2022+). B2B founders should focus on medium-term strategic planning while remaining flexible about long-term direction.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io   The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co

    32 min

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Learn from GTM journeys of B2B tech founders who’ve built companies worth more than $1 billion. This show is brought to you by FrontLines.io

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