BUILDERS

Why Radical AI targets markets frozen by innovator's dilemma | Joseph Krause

Radical AI is building scientific superintelligence—AGI for science—through a closed-loop system that combines AI agents with fully robotic self-driving labs to accelerate materials discovery. The materials science industry has a fundamental innovation problem: discovering a single new material system takes 10-15+ years and costs north of $100 million. This economic reality has frozen innovation across aerospace, defense, semiconductors, and energy—industries still deploying materials developed 30 to 100 years ago. In this episode, Joseph Krause, Co-Founder and CEO of Radical AI, explains how his company is attacking the root causes: serial experimentation workflows, systematically lost experimental data, and the manufacturing scale-up gap. Working with the Department of Defense, Air Force Research Lab on hypersonics systems, and as an official partner to the DOE's Genesis mission, Radical AI is focused on high entropy alloys that maintain mechanical properties in extreme environments—the kind of enabling technology that unlocks entirely new product categories rather than optimizing existing ones.
Topics Discussed:
The structural economics preventing materials innovation: 10-15 year timelines, $100M+ discovery costs, and why companies default to decades-old materials
Three fundamental process failures in scientific discovery: serial workflows that prevent parallelization, the 90%+ of experimental data that lives only in lab notebooks, and the valley of death between lab-scale discovery and manufacturing scale-up
How closed-loop autonomous systems capture processing parameters during discovery—temperature ranges, pressure requirements, humidity impacts, precursor form factors—that map directly to manufacturing conditions
High entropy alloys as beachhead: 10^40 possible combinations from the periodic table, requiring materials that maintain strength and corrosion resistance at 2,000-4,000°F in oxidative environments created by hypersonic flight
The strategic rationale for simultaneous government and commercial GTM: government for long-shot applications like nuclear fusion and access to world-class science institutions; commercial customers in aerospace, defense, automotive, and energy for near-term product applications
Why Radical AI focuses on enabling technology rather than optimization technology—solving for markets where novel materials unlock new products, not incremental margin improvements
GTM Lessons For B2B Founders:
Engineer downstream adoption barriers into your initial system architecture: Joseph identified that customer skepticism centered on manufacturability, not discovery speed. Most prospects understood AI could accelerate experimentation but questioned whether discoveries could scale to production without restarting the entire process. Radical AI's response was architectural: their closed-loop system captures processing parameters—temperature ranges, pressures, precursor concentrations, humidity effects, form factors like powders versus pellets—during the discovery phase. This data maps directly to manufacturing conditions, eliminating the traditional restart cycle. The lesson: In deep tech, the adoption barrier isn't usually your core innovation—it's the adjacent problems customers know will surface later. Engineer those solutions into your system from day one rather than treating them as future optimization problems.
Select beachheads where problem complexity matches your technical advantage: Radical AI chose high entropy alloys not because the market was largest, but because the search space is intractable for humans—10^40 possible combinations that would take millions of years to experimentally test. This creates a natural moat where their ML-driven autonomous system has exponential advantage over traditional approaches. Joseph explicitly distinguished "enabling technology" (unlocking new products) from "optimization technology" (improving margins on existing products), then targeted markets with products ready to deploy but blocked by materials constraints. The strategic insight: beachhead selection should optimize for where your technical approach has structural advantage and where success unlocks new market creation, not just better unit economics.
Structure dual-track GTM to derisk technology while building commercial pipeline: Radical AI simultaneously pursues government contracts (DOD, Air Force Research Lab, DOE Genesis) and commercial customers (aerospace, defense primes, automotive, energy). This isn't market hedging—it's strategic complementarity. Government provides access to the world's most advanced scientific institutions, funding for applications with 10-20 year horizons like nuclear fusion, and willingness to bridge the valley of death that scares commercial buyers. Commercial customers provide clear near-term product applications, faster revenue cycles, and market validation. Joseph views them as converging rather than divergent, since transformative materials apply across both. The playbook: in frontier tech, government and commercial aren't either/or choices—structure them as parallel tracks that derisk each other while your technology matures.
Reframe the economics of the innovation process itself: Joseph didn't pitch faster materials discovery—he reframed the entire process from serial to parallel, from data-loss to data-capture, from discovery-manufacturing gap to integrated workflow. This changes the fundamental economics: instead of 10-15 years and $100M+ per material, the conversation shifts to discovering and scaling multiple materials simultaneously with manufacturing parameters already mapped. This reframing unlocks budgets from companies that had stopped innovating because the traditional process was economically irrational. The insight: when industries have stopped innovating entirely, the problem isn't usually that existing processes are too slow—it's that the process itself is structurally broken. Identify and articulate the broken process, not just the speed/cost improvement.
Lead with civilizational impact to filter for long-term aligned stakeholders: Joseph explicitly positions Radical AI as "building a company that fundamentally impacts the human race" and tells prospective talent, "if you are focused on a mission and not a job, this is the place for you." This isn't recruiting copy—it's strategic filtering. In frontier tech with 10-15 year commercialization horizons, you need customers, partners, investors, and talent who think in decades, not quarters. Mission-driven positioning attracts stakeholders aligned with category creation over optimization and filters out those seeking incremental improvements. It also provides air cover for decisions that prioritize long-term technological breakthroughs over short-term revenue optimization.
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Sponsors:
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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.
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How Rainforest justifies the ROI of hosting a podcast and conference | Joshua Silver

Rainforest enables vertical software companies to embed payment processing directly into their platforms - solving the complexity that previously forced software companies to direct customers to separate banks or resellers for payment processing. Founded by Joshua Silver, who spent nearly 20 years in payments starting with PatientCo (a healthcare billing company that scaled to process billions for major healthcare organizations), Rainforest now serves as the enabling layer for thousands of vertical software companies. In this episode of BUILDERS, Joshua shares the unconventional GTM decisions that shaped Rainforest's trajectory: from making contracts a product feature to implementing a zero bugs policy, and why he measures podcast success by qualified lead conversion rather than download counts.
Topics Discussed:
The embedded payments opportunity: why software companies stopped directing customers to banks
Building in highly regulated environments where traditional MVP approaches fail
The extended foundation-building phase required before processing the first payment
Transitioning from 2.5-3 years of founder-led sales to a scalable GTM motion
Using contract terms as competitive differentiation rather than negotiation leverage
Implementing a zero bugs policy and its impact on service costs and retention
Building thought leadership through the Payment Strategy Show and Vertex conference
Lead quality metrics over vanity metrics for content investments
GTM Lessons For B2B Founders:
Hire from the industry and invest disproportionately in technical onboarding: Rainforest maintains one of the highest concentrations of payments talent on a percentage basis—nearly everyone has worked in payments or payments-adjacent roles. But hiring isn't enough. Joshua obsesses over training because in complex sales, prospects ask detailed technical questions and "the moment that you give bad answers or don't know your stuff, they're going to detect that and that's going to detract a lot from the trust." When selling technical infrastructure, surface-level product knowledge kills deals. Every touchpoint—engineers, support, account execs—must understand not just how the product works, but why it works that way.
Engineer your standard contract to eliminate negotiation cycles: Joshua inverted conventional wisdom by making Rainforest's standard contract "overly favorable to the client"—no hidden terms, no punitive clauses, no exclusivity provisions. The result: "We don't have to spend a lot of legal time going back and forth. We don't have to invest a lot of time and by the way, burning a lot of goodwill too in contract negotiations." Prospects consistently report the legal process was shockingly easy compared to competitors. This isn't about being naive—it's strategic capital allocation. Joshua's philosophy: "Pick the fights that really matter and everything else is just rounding." Time spent in legal negotiations is wasted time that could be spent onboarding customers.
Embed sales capabilities into your customer success function: Rainforest trains their CS team on negotiation tactics, value selling, and objection handling—competencies rarely developed in post-sale teams. Joshua noted the primary goal is customer assistance, but growth is an underlying objective. This isn't about making CS "do sales"—it's about equipping them to have commercial conversations when customers naturally express expansion interest. The key enabler: strong product-market fit means "we don't have to sell it that much. It's really a conversation about solutioning."
Enforce a zero bugs backlog in high-stakes environments: Joshua's unofficial core value—"don't f with the money"—manifests in their zero bugs policy. It's not that they never create bugs; it's that "we don't tolerate living with them. We don't have a backlog of bugs to fix." When a bug is validated, they fix it immediately. His head of engineering recently discussed this on a podcast because people find it radical. The payoff: "When you have a higher quality product, you don't have to invest as much in service because the product just works and you have naturally happy customers." For infrastructure products where errors cascade into customer incidents, the accumulated cost of technical debt vastly exceeds the upfront investment in quality.
Qualify content success by whether it's converting your ICP: Joshua rejects vanity metrics entirely. When asked about podcast ROI, he said: "I'd rather have 100 highly qualified listeners that are great targets for us than have 100,000 listeners and not have 100 qualified ones." They track this rigorously—every inbound lead is asked how they discovered Rainforest, and an increasing percentage cite the podcast. Prospects explicitly say "we heard the podcast and nobody else is putting this content out there." The metric isn't downloads; it's whether qualified buyers are self-identifying through your content and entering sales conversations pre-educated and pre-sold.
Build ecosystem assets without demanding immediate attribution: Rainforest launched Vertex—a curated conference for vertical software founders and operators—that explicitly isn't a Rainforest sales event or user conference. Joshua doesn't track lead conversion from the conference: "That's not one of the key metrics. We actually look at NPS score as one of the key metrics. Did people find value in the conference?" They're running it twice this year because attendees report it's the highest-quality conference they attend annually. His philosophy: "Go create value, legitimate, genuine value for the ecosystem and they will come to us." They deliberately limit attendance to several hundred and choose venues that physically can't accommodate massive scale—maintaining intimacy as a forcing function against growth-for-growth's-sake.
Plan for extended pre-market build phases in regulated industries: Joshua's advice for payments founders: "Make sure you know what you're getting into. It's a big build and there's very low tolerance for misses." Before processing their first payment, Rainforest had to achieve PCI compliance, SOC2 compliance, and implement comprehensive security infrastructure. Only then could they begin customer development with close network contacts. He contrasts this with his standard founder advice: build an MVP, sell quickly, get feedback, iterate. In payments, that playbook doesn't work—"you actually have to build so much of the foundation first just to process your very first payment." Founders in regulated spaces need patient capital and realistic timelines that acknowledge compliance infrastructure isn't optional.
Institutionalize "ruthlessly simplify" as an operating principle: One of Rainforest's core values is ruthless simplification, which Joshua applies to "the legal contract, the engineering documentation, anything." He asks his team repeatedly when reviewing anything: "Can we simplify it? Can we simplify it? Can we simplify it?" The output quality dramatically improves. He references the Tim Ferriss framing: "What would this look like if it were simple?" When applied consistently, it cuts approximately 50% from plans, strategies, and deliverables—even when the creator thought they were already building simply.
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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
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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

Why aiOla targets CFOs — not IT buyers | Amir Haramaty, Co-Founder at aiOla

aiOla is pioneering speech-to-data technology that transforms unstructured speech into actionable data for enterprise operations. As a serial entrepreneur on his sixth startup, Co-Founder Amir Haramaty built aiOla after witnessing firsthand how traditional AI implementations fail to deliver ROI in enterprise settings. The company has developed proprietary technology that achieves near-100% accuracy in challenging environments with heavy jargon, multiple languages, and difficult acoustics. With strategic investors including a major airline and partnerships with Nvidia, Accenture, and USG, aiOla is addressing the fundamental challenge that 95% of enterprise AI pilots fail to show value by focusing on immediate, measurable ROI through speech-based data capture.
Topics Discussed:
The genesis of aiOla from consulting work revealing AI's implementation gaps in traditional enterprises
Solving the triple challenge of speech recognition: accuracy in jargon-heavy environments, separating signal from noise, and converting speech to structured workflow data
aiOla's "jargonic" approach: creating hyper-personalized language models for specific processes without retraining
Early customer acquisition through serendipitous encounters and demonstrating immediate ROI
Vertical expansion strategy from food manufacturing to aviation, travel, hospitality, and retail
Channel partnership strategy refined from previous startups to achieve scale
The shift from convincing customers about speech technology to being pulled into diverse use cases
Building the aiOla Intelligate orchestration layer to dynamically select optimal speech recognition models
GTM Lessons For B2B Founders:
Make CFOs your best friend, not IT departments: Amir explicitly targets CFOs rather than IT as primary buyers because "it doesn't matter how small or big you are, you still have to do more with less." While IT serves as facilitators, CFOs control budgets focused on operational efficiency and ROI. B2B founders should identify which executive truly owns the pain point and budget authority, even if IT will implement the solution.
Deploy capital strategically to remove obstacles before they emerge: aiOla convinced their airline investor to provide working capital specifically to fund POCs for prospects without existing budgets. This eliminated the "we don't have pilot budget" objection before it arose. B2B founders should proactively identify and neutralize common barriers in their sales process, whether through creative deal structures, proof-of-concept funding, or implementation support.
Prioritize instant ROI over long-term transformation promises: Amir explicitly avoids "digital transformation" conversations, instead selecting use cases delivering "biggest impact within shortest period of time with minimum obstacle possible." The airline baggage tracking example saved 110,000 hours immediately, creating momentum for expansion. B2B founders should resist selling comprehensive transformation and instead identify narrow use cases with quantifiable, rapid returns that create internal champions.
Replicate proven use cases across customers rather than customizing: Once aiOla achieved success with specific applications like CRM data entry or pre-op inspections, they "stop, print, replicate" rather than reinventing for each customer. This approach reduced a two-hour inspection process to 34 minutes in food manufacturing, then replicated across industries. B2B founders should document successful implementations as repeatable playbooks and resist the urge to over-customize for each prospect.
Channel success requires speaking the partner's economic language: When working with telcos, Amir demonstrated that his solution increased ARPU by 34% and reduced churn by 17%—the only two metrics telcos prioritize. He built predictable models showing exactly how many units each channel rep would sell by geography. B2B founders pursuing channel strategies must translate their value proposition into the specific KPIs that drive partner economics and compensation.
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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

How Doctronic became the first AI licensed to practice medicine through Utah's regulatory sandbox | Matt Pavelle

Doctronic became the first AI in the world legally licensed to practice medicine through Utah's AI Learning Lab regulatory sandbox in December 2025. In this episode of BUILDERS, I sat down with Matt Pavelle, Co-founder and Co-CEO of Doctronic, to learn how he and his co-founder (a physician) launched an AI-powered primary care chatbot in September 2023, validated demand through Facebook chronic condition groups and minimal Google Ads spend, and navigated uncharted regulatory territory to offer $4 prescription renewals for chronic conditions—targeting the medication non-adherence problem that causes 125,000 preventable deaths and costs $100B annually.
Topics Discussed:
Why friends with excellent health insurance still couldn't get medical answers quickly Building clinical accuracy into GPT-3.5 when context windows were small and hallucinations were rampant The tactical launch: Google Ads plus Facebook chronic condition groups in September 2023 Architecting safety: RAG with tens of thousands of physician-written clinical guidelines The study: 99.2% agreement rate between AI treatment plans and human doctor reviews across 500 patients Navigating Utah's AI Learning Lab: the only regulatory sandbox that mitigated medical licensing laws Securing AI malpractice insurance through Lloyd's Market—a first in the industry The three-phase oversight model: 100% human review, then 10%, then spot checks Expansion strategy: targeting other state regulatory sandboxes and international governments
GTM Lessons For B2B Founders:
Launch with the minimum feature set that proves your core hypothesis: Pavelle shipped Doctronic in September 2023 without user accounts—chats disappeared when closed unless users saved them manually. Within days, user requests for persistent chat history validated demand. The insight: your MVP should test one assumption, not solve every user need. If you're hesitating to launch because features are missing, ask whether those features are actually required to validate your hypothesis or just things you assume users want.
Use specificity to unlock early adoption in skeptical markets: Rather than targeting "healthcare" broadly, Pavelle posted in Facebook groups for specific chronic conditions, offering a free AI backed by clinical guidelines. Half the groups banned them for commercial activity, but the other half engaged immediately. The lesson: in regulated or skeptical markets, narrow targeting with explicit safety mechanisms (clinical guidelines, physician co-founder credibility) converts better than broad positioning. Identify where your skeptics congregate and address their specific objections upfront.
Design system architecture to prevent failure modes, not just tune models: Doctronic's safety architecture separates AI decision-making from prescription execution. The LLM asks questions and determines renewal safety, but deterministic code outside the AI verifies the prescription exists, checks dosage accuracy, and confirms the schedule. Even if adversarial prompting compromises the LLM, the deterministic layer prevents bad outcomes. Founders building high-stakes AI products should architect multiple independent verification layers rather than relying on prompt engineering or temperature tuning alone.
Target regulatory pain points with quantified deaths and costs: Pavelle approached Utah with specific numbers: 125,000 preventable deaths annually from medication non-adherence, 30-40% caused by renewal friction, and a $100B economic burden. These statistics—combined with Utah's rural population and physician shortage—made the problem impossible to ignore. When approaching regulators, lead with mortality and cost data that make inaction untenable, not just efficiency gains or convenience improvements.
Regulatory sandboxes require proof of safety methodology, not just technology demos: Utah's AI Learning Lab didn't just grant Doctronic permission—they required a three-phase oversight structure where human physicians review 100% of initial prescriptions in each medication class, then 10%, then ongoing spot checks. Pavelle also secured AI malpractice insurance through Lloyd's Market before launch. The insight: regulatory innovation offices want risk mitigation frameworks, not promises. Build and fund your oversight methodology before approaching regulators, and treat insurance underwriting as a third-party validation of your safety claims.
Publish clinical validation studies before scaling—they become your regulatory and sales asset: The study showing 99.2% agreement between Doctronic's AI and human physicians across 500 patient encounters became the foundation for regulatory conversations and public trust. Founders in regulated spaces should budget for formal validation studies early—these aren't marketing expenses, they're the permission structure for everything that follows. Work backward from what regulators and enterprise buyers need to see, then design studies that generate that specific evidence.
// 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
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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

Vanessa Larco on Building, Investing, and What Makes Great Founders [VC Edition]

After building products at Microsoft (Xbox, Surface), a gaming startup acquired by Disney, Twilio, and Box, Vanessa Larco joined NEA where she led seed investments in Greenlight (debit card for kids), Majuri (C2C jewelry), and Limitless (acquired by Meta). She served on Robinhood's board for five and a half years through IPO and the GameStop crisis. In this conversation, Vanessa breaks down the specific traits that separate top 1% founders from the rest, why venture capital is experiencing structural chaos from simultaneous mega-fund expansion and generational transition, and why technical founders who deeply understand consumer behavior change represent the next wave of breakout companies.
Topics Discussed:
How customer-focused decision-making at Robinhood during GameStop contradicted public perception
The specific paradox great founders must balance: maniacal focus versus recruiting ability
Why venture is simultaneously dealing with fund size chaos and generational leadership transition
The decision framework for staying in venture versus returning to operating
Why consumer is radically underinvested despite users' demonstrated willingness to pay for "magical" experiences
How AI tools create internet-scale behavior change by synthesizing information rather than just accessing it
The authentic voice problem in VC personal branding and platform-specific challenges
GTM Lessons For B2B Founders:
Great founders possess maniacal focus on the right problems, not all problems: Vanessa describes exceptional founders as having an "insatiability" where "they pick the thing and they can focus on the thing and not get distracted by anything else and be maniacal about it." This isn't generic persistence—it's the ability to identify which specific problem deserves obsessive attention while ignoring everything else. Employees often push back ("we have these other fires"), but top founders maintain "one track" focus. The implementation challenge: most founders spread maniacal energy across too many initiatives. The best founders are "obsessive compulsive about how they build" on 1-2 things maximum, then deliberately de-prioritize everything else, even when it feels irresponsible.
Incentive structure misalignment creates unwinnable scenarios: During GameStop, Robinhood faced retail traders whose incentives were fundamentally incompatible with traditional market participants. As Vanessa notes, "if your team and your company is bound by a certain set of incentives and you're up against someone with a very different set of incentives, that never really ends well." The Wall Street Bets mantra—"we can stay irrational longer than they can stay solvent"—explicitly weaponized this mismatch. For founders: map not just competitor strategies but their underlying incentive structures. Are they optimizing for growth, profitability, strategic acquirer appeal, or something else? When your incentives conflict with a market participant's (customer, partner, regulator, competitor), you cannot win through superior execution alone—you need structural repositioning.
Technical founders who ship faster capture AI-era market position: Vanessa specifically seeks "technical founders with an eye for consumer behavior change" because "speed is really important in this era." This isn't about being first to market—it's about iteration velocity. When foundational models improve every few months and user expectations evolve weekly, the team that can "deliver on it faster than anyone else" compounds advantages. Non-technical founders add product/sales/fundraising cycles between insight and deployment. Technical founders collapse these cycles, testing behavioral hypotheses in days rather than quarters. In markets where "what's possible" changes monthly, this velocity differential determines who owns category definition.
Behavior change wedges beat feature superiority: Vanessa looks for founders who understand "how this new technology is changing how people behave and changing what people expect of their tools" and can identify "what need can I fulfill better because I can build this thing that couldn't be built before." The critical insight: users don't adopt based on capability—they adopt when technology enables a behavior they already want but couldn't execute. She emphasizes products that are "radically faster, radically cheaper, radically easier" (not 10% better) and founders who understand "how they'll wedge into behaviors." Implementation framework: don't ask "what can this technology do?" Ask "what behavior is currently blocked by cost/speed/complexity that this technology removes the blocker for?"
Category creation happens post-problem-solving, not pre-launch: Discussing Robinhood's positioning, Vanessa reveals how the team "stayed focused" on enabling "people to continue participating in the markets" rather than defending an abstract category. The company focused on structural problems (settlement times, capital requirements) rather than category messaging. For founders: solve the acute problem your customer articulates, even if it seems tactically narrow. Category definition emerges after you've solved related problems for enough customers that the pattern becomes obvious. Premature category creation forces you to defend an abstract positioning rather than deepen specific problem-solving.
Personal brand building only works at the intersection of authenticity and utility: Vanessa admits "I can't find my authentic voice on Twitter to save my life" and her successful posts are "when I'm on an airplane and it's delayed by like over an hour and I'm angry." Meanwhile, "video and audio, way more my comfort zone" but requires "discipline that I don't think I yet possess." The lesson for founders: audience building helps ("people then know what you are, what you stand for... it helps establish trust faster, it helps people find you") but forced authenticity backfires. Better to own one channel where your natural communication style works than maintain mediocre presence across all platforms. LinkedIn for thoughtful analysis, Twitter for real-time reaction, podcasts for deep conversation—pick the format that doesn't require you to perform.
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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
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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

How Confirm targets HR leaders in their first 60 days to close enterprise deals faster | David Murray

Confirm uses organizational network analysis to surface hidden high performers and toxic actors that traditional performance reviews miss - identifying the quiet contributors everyone relies on and the problematic employees who manage up effectively. In this episode of BUILDERS, I sat down with David Murray, Cofounder & CEO of Confirm, to dissect their most painful go-to-market lessons. David shares why leading with methodology superiority torpedoed their early sales, the specific discovery framework that flipped their win rate, and how they segment the four distinct HR buying motions that require completely different sales approaches.
Topics Discussed:
Why traditional performance reviews are 60% manager bias according to research by Maynard Goff
How organizational network analysis identifies introverted high performers and manages-up toxic actors
The catastrophic early GTM mistake: positioning against existing processes
Discovery frameworks for conservative buyers in compliance-heavy functions
Talk ratio targets and silence techniques from clinical psychology applied to enterprise sales
Channel testing methodology that identified LinkedIn ads as their primary acquisition driver
The four-quadrant framework for HR sales: CHRO vs line manager, company-wide vs HR-only tools Messaging strategies that balance shock factor with substantive education
GTM Lessons For B2B Founders:
Discovery trumps differentiation in category creation: Confirm's design partner had promoted toxic employees and lost quiet high performers in the same cycle—a perfect case study for their ONA methodology. But when they pitched other HR leaders with "here's why your approach is broken," they hit walls. The shift: stop selling methodology, start diagnosing pain. Reference what you've observed at similar companies—"Some folks at your size tell us they struggle with X, is that true for you?"—then let prospects surface their version of the problem. Only after they've articulated their pain do you map your differentiated approach to their specific context.
Target buyer timing, not just buyer titles: Confirm identified a specific trigger: HR leaders in their first 1-2 months at a new company. These leaders are hired to make change and need early wins. The outreach question: "How are you looking to make your mark?" This surfaces whether they're hungry for innovation or managing political capital. A newly hired CHRO has different motivations than a 5-year veteran protecting their process choices. Map your outreach to career timing, not just seniority.
Enforce 50/30/20 talk ratios in discovery: David's target: prospects speak 60-80% of discovery calls, with 50% being acceptable. If you're talking more than half the time, you're pitching, not discovering. The clinical psychology technique: positive encouragers ("yeah," "huh") plus deliberate silence after open-ended questions. Prospects will fill silence with the real issues—budget constraints, political dynamics, past vendor failures. This intel is gold for multi-threading and objection handling later.
Test channel-message fit with minimal spend: Confirm's approach: "do everything a little bit and see what sticks." They found LinkedIn ads with precise targeting (title, company size, recent job changes) delivered qualified pipeline cost-effectively, while other channels didn't. The framework: allocate 10-15% of budget across 5-6 channels for 60 days, measure cost-per-qualified-meeting, then concentrate spend. Plan for 3-6 month creative refresh cycles as audiences develop ad fatigue—this isn't set-and-forget.
Map your product to the HR buying matrix: David identifies four distinct quadrants: (1) CHRO buyer, company-wide deployment = traditional enterprise sale, 6-18 month cycles, heavy multi-threading required; (2) CHRO buyer, HR-only tool = shorter cycles but still executive selling; (3) Line manager buyer, company-wide = requires bottom-up adoption mechanics; (4) Line manager buyer, HR-only = SMB-style transactional sale. Confirm operates in quadrant 1—the longest, most complex sale. Most founders don't explicitly map which quadrant they're in, leading to mismatched sales motions and blown forecasts.
Use provocative messaging with technical substance: "One-click performance reviews" generated meetings because it triggered both excitement (managers hate writing reviews) and concern (is AI replacing human judgment?). The key: the shock factor gets the meeting, but you need depth on the call. Confirm's explanation: the AI aggregates data from Asana, Jira, OKRs, peer feedback, and self-reflections to reduce recency bias, then generates a draft managers edit. The dystopian concern becomes a feature when you explain the data anchoring. Surface-level shock without technical credibility burns trust.
Adjust for organizational risk tolerance by function: HR and healthcare share conservative buying cultures due to compliance, documentation, and legal requirements. David contrasts this with selling to CTOs or engineers who "kick tires and want to break things." This affects everything: longer evaluation cycles, more stakeholders in legal/compliance, emphasis on security and data handling, reference checks weighted heavily. If you're selling to risk-averse functions, adjust your content (white papers, compliance documentation), your timeline expectations, and your change management positioning.
Reframe education as extraction, not instruction: David's mental model shift: "I need to learn from them" replaced "I need to educate them." In practice: "I've heard from others that calibration meetings consume 10+ hours per cycle with unclear outcomes. They tried approaches like forced ranking or manager-only decisions. Have you experimented with either?" This positions you as a pattern-matcher across their peer group, not a lecturer. They become receptive to alternatives because you've demonstrated you understand their world through other customers' experiences.
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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.
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How CalmWave positioned transparent AI over black box algorithms to win hospital C-suite validation | Ophir Ronen

CalmWave is tackling ICU alarm fatigue—a problem where patients generate up to 1,600 alarms per day because clinicians lack data-driven guidance on setting vital sign thresholds. The company processes 32 million data points daily from a single 14-hospital system by fusing high-frequency vital signs from Philips InteliBridge with EMR data from Epic in real time. This represents 10 billion data points annually at current run rate. Ophir Ronen, a sixth-time founder who previously sold to PagerDuty, built CalmWave by applying enterprise IT operations patterns to healthcare infrastructure. The company secured its first comprehensive system-wide agreement within months of launch and now holds 51 patents with 20 more pending as medical device manufacturers pursue distribution partnerships.
Topics Discussed
Why middleware interoperability is a prerequisite for clinical safety, not a feature 
The technical challenge of fusing 10x more data from vitals systems than EMR systems 
Building trust through transparent AI that exposes mathematical reasoning to clinicians 
Scaling from 7 million to 32 million daily data points across hospital rollout phases 
How CalmWave's common signal format enables data scientists to work with clean datasets 
Positioning alarm fatigue as a beachhead into broader hospital operations platforms 
The innovation investment arm validation pathway for startup enterprise sales 
Extending the signals-incidents-events pattern to energy, defense, and manufacturing
GTM Lessons For B2B Founders
Interoperability becomes your moat when it's a safety prerequisite: CalmWave couldn't provide safe alarm recommendations using only vital signs data without knowing which medications had been administered that could affect those vitals. This forced them to build bidirectional integration with both Philips InteliBridge (high-frequency vitals) and Epic EMR before addressing the clinical problem. The integration layer itself—which normalizes, enriches, and structures data into their common signal format—became defensible IP. Ophir noted that high-frequency vitals data is "erased on a rolling 30-day basis" at most hospitals, making CalmWave's fused dataset genuinely novel. Founders in healthcare or other regulated industries should identify whether data fusion across siloed systems is required for safety or efficacy, then build that integration capability as core infrastructure rather than expecting customers to solve it.
Transparent AI sells better than black box AI in clinical environments: When presenting to 30 senior leaders including a notoriously difficult CMO, CalmWave walked through the mathematical basis of their algorithms—demonstrating exactly how they calculate safe alarm threshold adjustments. The CMO stood up mid-presentation and said, "You guys shouldn't even call yourselves AI. This is math and statistics. I understand exactly what you're doing. Well done. This is truly innovative." This validation from clinical leadership came from showing the work, not from accuracy metrics alone. Founders selling AI into risk-averse environments should build explainability into their core product architecture, enabling clinicians to understand why each recommendation is generated rather than treating interpretability as a post-hoc feature.
Innovation investment arms provide validation pathways that bypass procurement: CalmWave's breakthrough came when an innovation investment arm from a major health system reached out after three months of due diligence, then placed them in front of clinicians. Two weeks before signing a comprehensive system-wide agreement, they presented to the C-suite. This pathway avoided traditional vendor procurement cycles. The innovation arm acted as internal champion, pre-validating the startup's approach before exposing them to decision-makers. Founders targeting large healthcare systems should identify which organizations have dedicated innovation or venture arms, recognizing these groups are measured on finding novel solutions rather than minimizing vendor risk.
Beachhead problems in enterprise must be urgent enough to overcome startup friction: Ophir explicitly chose alarm fatigue because health systems with IT budgets in the hundreds of millions needed "something compelling enough to make them engage" with a startup. ICU alarm fatigue has regulatory scrutiny, patient safety implications, and nursing burnout consequences that create executive-level urgency. The problem was important enough that clinical leadership would tolerate the integration complexity and vendor risk of working with an early-stage company. Founders should evaluate beachhead opportunities not just by market size but by whether the pain point has organizational consequences severe enough to justify betting on an unproven vendor.
Adjacent domain pattern recognition creates non-obvious competitive advantages: CalmWave's team came from building large-scale operations platforms at PagerDuty, where they developed expertise in processing massive streaming data, correlating events, and reducing alert noise. They recognized that ICU alarm fatigue followed the same structural pattern as IT operations alarm fatigue—too many alerts without context. This allowed them to apply a proven architectural approach (signals → alarms → incidents → events) to a new vertical where healthcare incumbents lacked that specific systems thinking. One hospital generates 7 million data points daily; their platform now handles 32 million across multiple facilities. Founders with deep operational expertise in one domain should actively map their architectural patterns to adjacent verticals where incumbents haven't solved analogous problems at scale.
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How i6 Group sold to committees across fuel teams, flight ops, and pilot unions at enterprise airlines | Alex Mattos

i6 Group is connecting the fragmented aviation fuel ecosystem-airlines, fuel suppliers, and service providers-through a real-time digital platform that eliminates paper-based processes at over 260 airports worldwide. After launching with British Airways at Heathrow in 2015 and recently closing their Series B with German PE firm Itrium, i6 is proving that even heavily regulated, risk-averse industries can achieve step-function operational improvements through software. In this episode of BUILDERS, Alex Mattos, CEO and Managing Director of i6 Group, breaks down how they navigated decade-long enterprise sales cycles, leveraged strategic customers as Series A investors, and are now building toward profitability to maximize exit optionality.
Topics Discussed:
The surprising analog nature of aviation fuel operations despite advanced aircraft technology
i6's pivot from defense fuel system testing to commercial aviation digitization
The multi-party fuel ecosystem: airlines, suppliers, service providers, and logistics chains
Strategic approach to landing British Airways and Virgin Atlantic as launch customers
Fundamental differences between European fuel optimization vs. US supply chain management models
Multi-stakeholder enterprise sales involving fuel teams, flight ops, pilot unions, and CFOs
Strategic Series A with customer-investors: British Airways, JetBlue, Shell, and World Fuel Services
Series B transition from strategic to PE backing focused on scaling operations and go-to-market
Network effects driving compounding value as airport coverage expands
Path to self-sustainability and exit strategy considerations
GTM Lessons For B2B Founders:
Target brand DNA, not just budget, for early enterprise customers: i6 deliberately approached Virgin Atlantic because of Richard Branson's reputation for "being entrepreneurial, taking a risk, doing something different." This wasn't naive brand worship—it was strategic targeting based on organizational risk tolerance. When selling complex infrastructure to enterprises pre-product-market fit, a prospect's innovation track record matters more than their budget size. Map your early pipeline based on cultural willingness to partner with startups, not just technical fit.
Invest in non-paying reference customers as currency for tier-one deals: Virgin Atlantic became i6's first operational deployment without payment. This wasn't charity—it was strategic capital allocation. The working reference at Virgin directly unlocked British Airways: "we turned up, demonstrated what we were doing...we've done this trial with Virgin and here's the results, and it went really well." For founders selling to conservative enterprises, one live deployment at a credible brand is worth more than a dozen pitch decks. Budget 6-12 months of runway for strategic pilots that generate proof points, not revenue.
Create forcing functions with specific follow-up commitments: When British Airways said "if you're still here in six months, come back," most founders would hear soft rejection. Alex heard a calendar commitment and returned "to the day" with results. This precision signaling—we take your requirements seriously enough to track them to the day—separates serious vendors from tire-kickers. When enterprises set conditional bars, treat them as binding contracts and demonstrate execution discipline through exact follow-through.
Position for market disruption by maintaining warm enterprise relationships: i6 benefited when an incumbent competitor liquidated, creating urgent procurement needs at British Airways. But luck favors the prepared—they had already established credibility through their Virgin deployment. Maintain enterprise relationships even when deals seem stalled. In concentrated B2B markets, competitive exits, budget releases, and trigger events happen regularly. Your position in the consideration set when disruption hits determines whether you capture the opportunity.
Engineer word-of-mouth in concentrated industries through excellence, not marketing: Four months after Heathrow deployment, Dubai airport approached i6 unsolicited: "we've heard great things." In the aviation fuel community—which Alex describes as "surprisingly small"—exceptional execution travels faster than any outbound motion. This changes GTM strategy: in concentrated industries, over-invest in customer success and operational excellence at early deployments rather than spreading thin across many accounts. Your first customers are your sales team.
Segment GTM by operational model, not just geography or company size: i6 discovered European airlines optimize for fuel efficiency and real-time decisions, while US airlines (controlling their own supply networks since the late 1980s) prioritize supply chain visibility: "how much fuel did we put in the plane, how much have we had delivered, how much have we got left." These aren't feature preferences—they're fundamentally different jobs-to-be-done driven by market structure. Don't assume global enterprises have unified needs. Segment by operational model and regulatory environment, then customize messaging and roadmap accordingly.
Stage investor expertise to match company evolution, not just valuation milestones: Series A brought strategic investors who were actual users (British Airways, JetBlue, Shell, World Fuel Services) for product validation and network access. Series B brought PE firm Itrium for "scaling the business...building and growing our sales and revenue teams." This wasn't opportunistic—it was deliberate staging of capital sources to match capability gaps. Don't optimize fundraising purely on valuation or dilution. Map your next 18-month bottleneck (product validation vs. operational scaling vs. market expansion) and raise from investors who've solved that specific problem.
Build for profitability to control your exit timing and terms: Alex's goal is avoiding Series C entirely: "we build and establish a fully self-sustaining business...the business becomes fully sustainable in the next couple of years." This isn't conservatism—it's strategic optionality. Reaching profitability eliminates the forced march toward subsequent rounds, letting you choose between IPO or M&A based on market conditions rather than cash position. For infrastructure plays with long implementation cycles, factor sustainability into your growth model early, even if it moderates topline growth rates.
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Don't Miss: New Podcast Series — How I Hire
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How Amplio scaled from founder-led sales to repeatable AE closings without founder involvement | Trey Closson

Amplio operates a two-sided marketplace that helps manufacturers monetize surplus inventory and decommissioned industrial equipment rather than writing off assets or paying for disposal. The company has won contracts with GM and SpaceX despite competing against liquidators with 30-year local relationships. In a recent episode of BUILDERS, we sat down with Trey Closson, Co-Founder and CEO of Amplio, to unpack how the company executed a complete business model pivot from supply chain risk software to marketplace, discovered that enterprise deals close faster than SMB despite conventional wisdom, and built repeatable GTM motions in a fragmented $100B+ market previously dominated by local operators.
Topics Discussed:
Executing Amplio's pivot from supply chain risk software to surplus inventory marketplace
Moving four truckloads of inventory through a WeWork to prove the business model
Closing GM and SpaceX inbound from Google Ads as the PMF validation signal
Displacing 30-year incumbent relationships through corporate + local dual threading
Why enterprise contracts closed faster than SMB deals in Amplio's specific context
Scaling beyond founder-led sales to repeatable AE motions
Operating a two-sided marketplace: supply acquisition strategy vs. demand conversion
GTM Lessons For B2B Founders:
Manual heroics prove economics before automation: When a customer offered Amplio $25 million in surplus inventory, Trey had no warehouse, no logistics infrastructure, and no playbook. What was supposed to be four pallets became four full truckloads delivered to their WeWork. Trey and one employee physically moved inventory boxes off pallets into their office space, then figured out how to sell it while the WeWork management threatened eviction. The core insight: "the first time solving a problem, it doesn't need to be an automated, efficient process, it just needs to be okay. A customer has a problem, we need to figure out a way to solve that problem." Only after proving they could profitably solve the problem multiple times did they invest in automation and efficiency. For founders, the implication is clear—delay infrastructure investment until you've manually proven unit economics and repeatability, even if execution requires unsustainable effort.
True PMF signals come from zero-relationship wins: Trey leveraged 15 years of supply chain relationships to secure initial customers and build product infrastructure. But he identifies the precise PMF inflection point: "middle of last year, we had both GM and SpaceX respond to a Google Ad." These companies had zero connection to Trey or his co-founder, found Amplio through SEM, and chose them over traditional liquidators they'd worked with for years. This is the distinction between "my network will buy from me" and "the market will buy from us." Founders should use their Rolodex to achieve velocity and prove the concept, but recognize that true product-market fit only exists when customers with no founder relationship choose your solution over established alternatives.
Enterprise velocity depends on payment direction and urgency profile: Amplio deliberately focused on enterprise after being told by multiple founders to avoid "hunting whales." They discovered enterprise closed faster than SMB for three structural reasons. First, SMBs had unrealistic recovery expectations—wanting $900K back on $1M inventory when market reality is cents on the dollar, creating unresolvable expectation gaps. Second, enterprises had the problem across 100+ facilities with no dedicated owner and urgent mandates from finance or supply chain leadership. Third, because Amplio pays customers rather than charging them, legal review velocity increased dramatically. As Trey explains: "the lawyers thankfully determine, because we're not getting paid by them, that there's low risk for them in terms of signing a contract with us." Founders should map their specific deal structure and customer urgency profile rather than defaulting to SMB-first based on generic advice.
Displace entrenched relationships through dual-threading: The surplus liquidation market is hyper-fragmented with hundreds of thousands of local liquidators, many holding 30-year plant-level relationships. Amplio's breakthrough: "partnering together with that person at the corporate level we can indicate not only can we solve the problem locally, but we can also do it across the entire enterprise." They pair the local plant manager with corporate procurement or finance leadership, demonstrating local problem-solving plus enterprise-wide scalability that local liquidators cannot match. This dual-threading strategy neutralizes the incumbent's relationship advantage while showcasing the efficiency and consistency that corporate leadership values. For founders entering relationship-driven markets, identify the corporate stakeholder whose enterprise-wide objectives trump individual facility loyalty.
Accelerate trust through predictable execution in low-NPS markets: Industrial liquidation is a "really low NPS industry—nobody loves working with their liquidator." In markets with poor customer satisfaction and commoditized offerings, trust accelerates when you focus on "say-do ratio"—if you commit to something, execute it. Amplio often solves adjacent problems outside their core offering and frequently removes inventory from warehouses faster than economically optimal to make customers "look like an absolute hero." This over-delivery in low-satisfaction markets creates disproportionate differentiation. The tactical implementation: understand what problems the organization is trying to solve beyond your core product, find ways to solve those problems even if not monetizable, and prioritize making your champion successful over optimizing every transaction.
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Don't Miss: New Podcast Series — How I Hire
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How Supersede found its beachhead market — and where they go from here | Sean Petterson

Supersede manufactures structural building products from recycled industrial and agricultural plastic waste, creating drop-in replacements for plywood and OSB. What makes their approach notable isn't the environmental mission - it's the deliberate market sequencing strategy that let them reach the top 10 boat builders globally within months of launch. CEO and Co-Founder Sean Petterson, whose father died on a construction job and who previously built and sold a construction safety equipment company, knew the construction market's reputation for slow adoption would kill them before they could prove their product. So instead of pitching the $12B+ annual US construction market directly, they started with marine applications where regulatory pressure, product toxicity issues, and performance failures created urgent buying windows. In this episode, Sean breaks down how they used trade show metrics to validate product-market fit, why they're absorbing shipping costs to prove regional demand before building plants, and the operational art of scaling manufacturing capacity against pipeline conversion timing.
Topics Discussed:
Strategic market entry: why marine and RV serve as proving grounds and revenue generators before construction
How material properties (waterproof, high density, VOC-free) dictated target application selection
The regulatory catalyst: California's formaldehyde ban creating electrolysis problems in boat transoms
Trade show execution at IBEX Tampa: converting sustainability pavilion traffic into top 10 builder partnerships
Multi-plant expansion strategy: Phoenix for marine, Indiana for RV proximity to Elkhart manufacturing hub
The timing challenge: balancing capex on new production lines against uncertain customer adoption curves
Using shipping cost absorption as market validation before committing to regional manufacturing
Product thickness decisions and the constraint of running 24/7 production on single SKUs
Long-term infrastructure goal: lights-out factories in every state to hit 10% US market share
GTM Lessons For B2B Founders:
Map product attributes to urgent pain points, not general market needs: Sean's framework was ruthlessly specific—Supersede's material is waterproof, twice as dense as wood, VOC-free, and has superior fastener retention. Rather than positioning these as generic benefits, they mapped each attribute to acute pain: marine grade plywood costs 3-4x more, leaches formaldehyde and CCAs into water, and California's new regulations were causing electrolysis that corrodes aluminum transoms. This isn't marketing positioning—it's matching physics to procurement urgency. Founders should inventory their product's fundamental characteristics and find markets where each one solves an active crisis.
Use expensive distribution as a validation tool before infrastructure investment: Supersede services Florida boat builders from their Phoenix plant despite shipping costs destroying margins. This is intentional—they're paying for market intelligence. Only after customers move from single units to full product lines do they commit manufacturing capex to that region. Sean's calculus: "As long as we have enough comfort in the unit economics to manage shipping costs, we can explore how markets look before sinking too much in." Most founders optimize for margin too early. Supersede optimizes for learning, treating distribution costs as cheaper than building the wrong plant in the wrong location.
Create credibility through extreme durability testing, then cascade down: Sean describes pontoon boats with twin 300hp motors hitting 60mph over waves as their "value proposition crucible." This isn't about marine market success—it's about creating an unarguable proof point for every downstream market. When they enter construction, they won't debate whether their product can handle a roof load; they'll show years of data from conditions that make construction look gentle. The insight: win in the most punishing environment first, then every easier application becomes a layup. Most founders do the opposite—start easy, then struggle with credibility when moving upmarket.
Sequence markets by sales motion similarity, not revenue size: The marine-to-RV-to-construction path isn't about market size—it's about operational leverage. Sean notes RV has "the same exact process, except they move a little quicker" as marine. Both are concentrated geographies (marine in Florida, RV in Elkhart), both have OEM buyers making high-volume decisions, both value durability and water resistance. This lets them reuse sales playbooks while building revenue. Construction, despite being 10x larger, requires completely different distribution (retail + wholesale), longer approval cycles (two years for major projects), and more diverse buyer personas (contractors, architects, developers, retailers). The sequencing strategy funds the capability build they'll need for construction without the distraction of learning three different GTM motions simultaneously.
Treat trade shows as validation metrics, not lead generation: Supersede tracked specific conference-provided data at IBEX: highest searched booth, highest saved, most traffic despite being in the "sustainability pavilion" that attendees typically skip. They didn't just collect business cards—they validated that their value proposition resonated at scale before committing to a multi-plant buildout. Sean converted this signal into partnerships with all top 10 builders by volume within the show cycle. The lesson: use trade shows as market research tools with quantifiable success metrics, not as top-of-funnel activities. If you can't win a trade show in your target segment, you're not ready to scale.
Balance production constraints against customer optionality to force prioritization: Supersede faces a counterintuitive challenge—they have demand for multiple product thicknesses but can only run 24/7 production on one thickness per line to maintain efficiency. This forces brutal customer prioritization decisions. As Sean puts it: "Which customer we like better." Rather than viewing this as a problem, recognize it as a focusing mechanism. Resource constraints force you to choose customers who value your core offering most rather than customizing yourself into complexity. Most founders try to serve everyone before proving they can serve anyone exceptionally.
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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
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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