Podcasts about whispered

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Market Logic Software sits at the intersection of market intelligence and enterprise AI — helping companies like Procter & Gamble and Unilever move from gut-feel decision-making to insights-driven operations. When Dirk Wolf stepped in as CEO five years ago, the business had impressive logos but a fundamental scaling problem: every customer had been co-built with, deeply customized, and operationally entangled. High retention masked an unsustainable model. In this episode of BUILDERS, Dirk breaks down how he restructured the GTM motion, made the deliberate choice to walk away from revenue that couldn't repeat, launched an AI product in Q2 2023 before most companies had a roadmap, and is now repositioning Market Logic as an agentic intelligence hub embedded inside enterprise infrastructure.Topics Discussed:The co-development trap: why deep enterprise relationships can become a scaling ceilingMaking the call to cut a government ARR contract to protect repeatabilityImplementing SaaS KPIs and customer segmentation from scratch inside an existing businessHow the marketing motion evolved — from executive roundtables to measured digital channelsBuilding a productive marketing-CFO relationship through outcomes and milestonesLaunching an AI product in Q2 2023 and tracking enterprise sentiment shift in real timeWhy the downstream ICP experiment failed and how they course-corrected fastThe vision for Market Logic as a proactive agentic system inside enterprise tech stacksGTM Lessons For B2B Founders:The co-development trap is a silent growth killer. Market Logic had strong retention and marquee customers — but had co-built so many bespoke solutions that the business couldn't replicate itself. No repeatable sales motion. No scalable delivery. When Dirk came in, he recognized that what looked like customer success was actually a ceiling. If your top accounts each required their own version of your product, you don't have a business yet — you have a services firm with SaaS ambitions. The fix starts with ruthless product scope decisions before you touch GTM.Cutting revenue is sometimes the GTM move. Dirk walked away from a US government contract — real ARR, on-prem, fully customized, no path to replication. The decision wasn't financial modeling, it was strategic clarity: you cannot build a repeatable motion while simultaneously maintaining one-off revenue that pulls engineering, CS, and leadership attention in a different direction. Most founders know this intellectually. Few actually do it. The willingness to let that revenue walk is what creates the conditions for scale.Segment by growth potential, not by decibel level. One of Dirk's first structural changes was introducing proper SaaS KPIs and customer segmentation — because without them, resources defaulted to whoever was loudest. That's almost always the smallest, most difficult accounts, not the ones with the most strategic upside. The discipline isn't just about where sales focuses. It cascades into product prioritization, CS allocation, and where leadership time actually goes. ICP isn't a marketing exercise — it's an operating model decision.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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

Nauta is building the data infrastructure layer for global supply chain, starting with mid-market shippers who manage 600+ suppliers across 40+ countries but lack a single source of truth. Co-founded by Valentina Jordan, who spent six and a half years at Rappi, Nauta targets the $200M-$2B revenue segment where companies face enterprise-level complexity without enterprise resources. In this episode of BUILDERS, Valentina shares how Nauta moved from Excel automation to building data pipes that connect 12-13 stakeholders touching a single product—and why they refuse to run POCs.Topics Discussed:Why shippers with ERP, TMS, and WMS systems still run operations in ExcelThe tribal knowledge crisis: 20-30 year operators retiring with undocumented institutional knowledgeNauta's no-POC policy and why it requires contract exit clauses insteadThe cost reduction vs. revenue generation framework that escapes pilot purgatoryBuilding familiar interfaces (Excel-like tables) over novel UX for conservative industriesThe shift from hiding AI capabilities (January 2025) to leading with them (eight months later)GTM Lessons For B2B Founders:Distinguish symptoms from root cause pain in discovery: Most enterprise buyers surface symptoms, not problems. A client reporting penalty costs isn't revealing the root issue—just downstream impact. Valentina uses the five whys methodology to drill into actual pain: "A client can tell me, hey, I'm paying X amount of dollars in penalties. That's not necessarily the root cause, it's just a symptom of the actual pain." This prevents building features that address surface-level complaints while missing the structural problem. The real issue might be data fragmentation across systems, lack of visibility into supplier performance, or decision-making bottlenecks—each requiring different solutions.Structure POC alternatives that demand mutual commitment: Nauta kills traditional POCs entirely because "it implies that they are testing us and that it's not a collaborative process." Instead, they offer contract exit clauses if expectations aren't met while requiring upfront commitment. This only works when you have proven results and can confidently deliver value. The insight: POCs create evaluator-vendor dynamics where the burden of proof sits entirely on you. Paid engagements with performance-based exits create partner dynamics where both parties invest in success. For early-stage companies without case studies, this won't work—but once you have repeatable results, test this approach.Layer revenue generation on top of cost reduction: Nauta starts every engagement with 3-4 cost reduction KPIs—penalties, reconciliation time, manual labor automation—then transitions to revenue generation through fill rate optimization and cash-on-cash improvements. "You need to go beyond just cutting costs. That way you transition from a nice to have to a must have." Supply chain has historically been viewed as a cost center; proving top-line impact changes budget conversations entirely. This matters because cost reduction has a ceiling (you can only cut so much), while revenue generation creates expanding budget headroom. Map your product capabilities to both from day one.//Sponsors:Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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

C8 Health is solving a problem that costs hospitals billions: the implementation gap between medical knowledge and actual clinical practice. Despite hospitals investing heavily in clinical trials, licensing platforms like UpToDate and OpenEvidence, and creating comprehensive policies and guidelines, this knowledge remains siloed across 20+ disconnected systems per department. Operating across over 100 hospital systems including most top-40 US healthcare networks, C8 Health has become the standard platform for academic anesthesiology departments by making best-practice knowledge instantly accessible at the point of care. In a recent episode of BUILDERS, I sat down with Galia Rosen Schwarz, Co-Founder and CEO of C8 Health, to learn how the company evolved from a Geneva University Hospitals research project during COVID to building a land-and-expand motion that penetrates notoriously difficult enterprise healthcare logos through focused department-level entry.Topics DiscussedWhy hospitals struggle to operationalize best practices despite massive knowledge investmentsThe department-first penetration strategy that unlocked top-40 healthcare system logosHow high product engagement converted two non-paying pilots into 20+ qualified pipeline opportunities at a single conferenceMisalignment between founder value assumptions and actual buyer languageWhy 2-4 monthly micro-conferences outperform major industry events for qualified pipeline generationMeasuring everything: tracking conversion from leads through MQLs, SQLs, opportunities to closed dealsGTM Lessons For B2B FoundersUse department-level entry to crack enterprise healthcare logos: With only $90K in friends-and-family funding, C8 Health chose department deals over enterprise-wide deployments. This wasn't just about deal size—it was strategic penetration of logos that typically require 18-24 month sales cycles. Single departments provided faster procurement, immediate user feedback for product iteration, and internal advocates who later championed enterprise expansion. The land-and-expand data became their enterprise selling asset: C8-level executives see real usage metrics, clinician testimonials, and measured outcomes (reduced surgical site infections, shortened length of stay) from their own system before enterprise conversations begin. B2B founders facing long enterprise cycles should map department-level entry points that demonstrate ROI quickly while preserving expansion paths.Extract buyer language systematically—they sell differently than you think: C8 Health positioned around clinician benefits: easy knowledge access, time savings, and empowerment. Their champions sold it completely differently to peers: "administrative burden reduction" and "peace of mind that staff consistently follow our chosen best practices across every indication." This wasn't end-user value—it was management value that department heads actually budget for. Galia's insight: you must measure and message separately for buyers versus end users. B2B founders should implement structured win/loss interviews and case study processes specifically to capture verbatim buyer language, then test whether your current messaging actually resonates with how champions sell you internally.//Sponsors:Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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 HireSenior 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

Welcome to this gentle spa facial designed to calm the mind and soften the day. ♥ In this softly whispered ASMR treatment, I cleanse the skin, apply a delicate peel-off mask with pressed blossoms, and finish with soothing skincare and light massage. Slow movements, pleasant light music in the background and peaceful spa sounds to help you relax, unwind, and drift into rest. Thank you for being here! :) ♥ Amazon Storefront https://www.amazon.com/shop/gentlewhisperingSpotify Video https://open.spotify.com/show/0kToYjBezGVp3B15I0vzA8Amazon Mp3 https://www.amazon.com/s/ref=ntt_srch_drd_B01BAXDICM?ie=UTF8&field-keywords=GentleWhispering&index=digital-music&search-type=ss YouTube Mp3 https://music.youtube.com/channel/UCAYaoy-i0_bTnd9yzzDMkhw Spotify Mp3 https://play.spotify.com/artist/3gkB9Cdx4UuWQxjhelyd87?play=true&utm_source=open.spotify.com&utm_medium=open iTunes Mp3 https://itunes.apple.com/us/artist/gentlewhispering/id1077570705#see-all/top-songshttps://itunes.apple.com/us/artist/maria-gentlewhispering/id1048320316PayPal (Donations, if you feel you need to give back) https://www.paypal.me/GentleWhisperingEmail: MariaGentlewhispering@gmail.com#ASMR #GentleWhispering #SPA

BILLIONAIRE Whispered Pretend You're Mine Tonight And Now He Can't Stand Her With Anyone ElseBecome a supporter of this podcast: https://www.spreaker.com/podcast/true-cheating-wives-and-girlfriends-stories-2026-true-cheating-stories-podcast--5689182/support.

She Was Just the Wedding Planner—Until the Millionaire Groom Whispered, 'Marry Me Instead'Become a supporter of this podcast: https://www.spreaker.com/podcast/true-cheating-wives-and-girlfriends-stories-2026-true-cheating-stories-podcast--5689182/support.

Chapter OneThere are years that feel ordinary while you are living them. Whispered years. Years that you don't remember once they are over. Maybe, if something did happen in one of those years, you only understand later that something shifted.The Year of the Fire Horse is not a whispering year.In the Chinese zodiac cycle, the Horse is movement, vitality, forward momentum, raw life force. Add Fire to that, and the energy does not stroll. It gallops. It blazes. It exposes. It refuses stagnation. The Fire Horse does not tolerate fences built from fear, complacency, or stagnation. It does not tolerate fences built from anything, actually.Historically, Fire Horse years have been associated with intensity and social change. They stir people from complacency. They amplify what already exists. They accelerate timelines. They reveal where something is alive and where it has decayed.In 1966, the world did not whisper.The Cultural Revolution erupted in China, unleashing ideological purges and youth-driven extremism. At the same time, The Beatles released Revolver, pushing music, consciousness, and culture into unfamiliar territory. Psychedelic experimentation entered mainstream awareness. The Vietnam War escalated. Protest movements strengthened. The space race accelerated. The collective drive to enlightenment and awakening was hijacked into a hyper-individual identity. The “I AM” path became louder than the shared field of true enlightenment.1966 was not a quiet year. And it was Light/Dark.The same intensity that fueled creative breakthroughs also fueled destruction. The same fire that broke artistic barriers also burned institutions to the ground. The energy itself was neutral. The direction it took depended on who held it. And as the holders of power were light/dark, so were the results at a global social scale, dipped in light and dark. The energy from 1966 fueled the light/dark paradigm for decades.The light/dark paradigm drivers know about the Year of the Fire Horse. They know the energy it encompasses, and they know how to use it.Here is the clincher for 2026, however: The light rules.The words “light rules” are not said in a sentimental way. Not in a triumphalist way. But structurally. The field has shifted from light/dark to light-only. What worked in 1966 to derail collective awakening will not function the same way now. At least, it will not function in the same way for those who have chosen LIGHT. For those who choose to stay in light/dark, sure, it functions the same way for them. And it will be fast and furious as it materializes their choice.The Fire Horse runs fast this year.Darkness or hyper-individualism expressed as a personal path of enlightenment will no longer be an option for the rest of us, however.For us, the LIGHT, the Fire Horse opens its eyes, shakes the chains and dusts them off, rears, finds a focus, and runs fast and furious, not caring what falls in its path. And what falls in its path this year is darkness. Inner darkness, outer darkness, all darkness. It will burn. Burn. Burn.The discussion doesn't stop here - listen to the full podcast episode for unfiltered insights from Inelia and our panelists. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.drivingtotherez.com/subscribe

Vycarb is commercializing a carbon storage technology that mimics ocean chemistry, converting CO2 into bicarbonate—a stable molecule that remains sequestered for hundreds of thousands of years. Based in Brooklyn, the company operates at the intersection of hard science and market-making in carbon removal, where customers, verification standards, and pricing mechanisms are all emerging simultaneously. Garrett Boudinot shares how Vycarb navigated this complexity: closing their first deals with progressive offset aggregators, pivoting from voluntary ESG buyers to compliance-driven ICPs as market dynamics shifted in 2022-2023, and building international pipeline in Asia Pacific and Europe that became essential when US climate policy reversed in 2025.Topics Discussed:Early customer strategy with Frontier Fund and Milkywire as market-making offset aggregators The 2022-2023 market shift from voluntary ESG purchasing to compliance-driven urgency ICP evolution: identifying customers facing carbon taxes versus sustainability commitments International expansion into Singapore and Asia Pacific compliance markets pre-2025 Raising a US climate tech seed round in 2025 during sector-wide funding contraction Scaling pilots iteratively while building verification methodologies for a nascent category Marketing strategy: facility tours, industry-specific PR in cement and aluminum, strategic investor logos Transition from performance metric validation to site-specific commercial design Leveraging strategic investors (Idemitsu, Rio Tinto, Mitsui, Shell) for channel partnerships Building distributed deployment capability from centralized Brooklyn pilot operationsGTM Lessons For B2B Founders:Find customers where your solution impacts P&L, not just valuesProgressive customers build category infrastructure, not just revenueGeographic diversification is risk mitigation, not just expansionCentralized demonstration beats distributed ops at early stageProof of execution replaces messaging in nascent categoriesConvert strategic investors into channel partnersBuild verification infrastructure as you scale, not after//Sponsors:Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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 HireSenior 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

OneCrew is building end-to-end operational software for asphalt and concrete contractors—a segment caught between Procore's general contractor focus and ServiceTitan's field services model. After leaving Bain & Company and Google, Ari Bleemer and his co-founder Max identified that self-performing specialty contractors who handle everything from estimating to payment collection had no purpose-built platform. In this episode, Ari shares how they've spent four and a half years building trust in an industry skeptical of software promises, why they resisted the urge to expand horizontally across multiple construction trades, and what they learned about sustainable vertical SaaS growth.Topics Discussed:How the middle segment of construction—self-performing contractors who run the full project lifecycle—remains structurally underservedBuilding trust in a market burned by consultants promising custom software for $10,000 that never worksWhy every employee at OneCrew, regardless of function, goes through industry-specific onboarding to learn paving terminology and contractor workflowsThe strategic decision to delay expansion into adjacent verticals despite having configurable product architectureHow sustained market presence compounds credibility faster than any go-to-market tacticGTM Lessons For B2B Founders:Map the white space between dominant platforms: OneCrew identified that Procore owns general contractors coordinating multiple trades, while ServiceTitan and others own single-visit field services. The gap: specialty contractors executing complete projects—estimating, proposing, executing, and collecting payment. Ari describes it as "the entire middle of the industry where you have a lot of self perform contractors, specialty contractors, trade contractors, subcontractors...that are actually running a process from start to end." Map your market by understanding what established platforms actually serve versus claim to serve, then target the operational workflows that fall through the cracks.Use "niche" skepticism as market validation: When VCs, friends, and family question if your market is too narrow, you've likely found defensible positioning. Ari's test: "Have you been on a sidewalk today? Have you driven on a road today? Have you been in a parking lot today?" The paving industry powers daily infrastructure but gets zero attention from horizontal software players or large AI companies. Founders should seek markets where usage is ubiquitous but mindshare and software investment are minimal—that's where you build sustainable moats.Make product fluency a company-wide competency: OneCrew requires every hire—engineers, sales, operations—to learn paving industry terminology, contractor pain points, and workflow nuances during onboarding. This isn't just sales training; it's embedding industry context into product decisions, customer conversations, and roadmap prioritization. The payoff: "Contractors come up to us and say like, it feels like you guys actually get it, which there's no better compliment for us." In vertical SaaS, domain expertise distributed across the entire company drives faster iteration cycles and deeper customer trust than any single "industry expert" hire.//Sponsors:Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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

Justin Fineberg built a 500,000+ follower audience on TikTok and Instagram before launching Cassidy, an AI automation platform for non-technical users. By consistently creating content about AI and technology, he turned inbound interest into his initial customer base and market validation. In this episode of BUILDERS, Justin breaks down how he leveraged short-form video to identify product opportunities, the mechanics of maintaining authentic audience relationships while monetizing, and how to transition from social-led distribution to scalable B2B SaaS go-to-market.Topics Discussed:Leveraging ChatGPT's launch as an inflection point to ride mainstream AI interestConverting consultant requests into product insights and early customer signalsThe platform mechanics of TikTok vs Instagram for B2B contentTransitioning from 100% social-sourced revenue to multi-channel B2B salesBuilding repeatable content systems that survive founder time constraintsTesting product messaging and features through content before formal launchGTM Lessons For B2B Founders:Timing content focus with market inflection points compounds growthInbound consulting requests are product requirement documents in disguiseContent systems must be friction-free or they'll die under operational loadGood content transcends platform-specific algorithm hackingSocial distribution creates unfair launch advantages, not permanent moats//Sponsors:Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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 HireSenior 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

Hail has officially surpassed hurricanes and wildfires as the costliest natural disaster in the U.S. over the last 25 years—a shift that became visible three years ago and created a massive market opportunity. Wesley Pergament recognized this trend early and built Sola Insurance around it, transforming how homeowners protect their properties by eliminating the subjective claims process that's plagued the industry. After closing their Series A, Sola has cracked the code on hail insurance: using parametric weather data triggers to reduce claim resolution from months to days, cutting fraud that was driving $15,000-$20,000 deductibles, and building a 100% referral-driven distribution engine through independent insurance agencies. In this episode of BUILDERS, Wesley reveals how they pivoted from tornado to hail coverage in month two, why they've run zero outbound for 18 months while scaling exponentially, and how they're rebuilding policy forms and modeling from scratch to become the go-to natural disaster insurance provider.Topics Discussed: The data signals that showed hail crossing over as the #1 costliest natural disaster Rebuilding insurance policy forms and modeling around objective weather data vs. indemnity claims How wind and hail deductibles exploded from $1,000 to $15,000-$20,000, effectively excluding roof coverage Why independent agencies are multi-generational businesses where reputation is everything The mechanics of building a pure referral engine that eliminated all outbound for 18 months Creating complementary coverage that's becoming fundamental infrastructure in home insurance packages Using hail diameter, storm duration, and damage indicators to create parametric triggers The strategic sequencing of sales-first, then product, now marketing investments post-Series A Why addressing the fraud problem first unlocked both pricing and claims experience advantagesGTM Lessons For B2B Founders:Invest disproportionately in first-call onboarding when entering regulated channelsUse regional conference immersion for channel insight, not lead generationDesign systematic referral prompts at trust milestonesSequence GTM investment around validated constraint-breaking, not best practicesRebuild the broken process structurally, don't optimize it incrementally// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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

Astronaut time costs $130,000 per hour, yet a significant portion goes to routine maintenance and cargo logistics rather than breakthrough science. Icarus Robotics is building the robotic workforce for commercial space stations, and despite being just over a year old, secured a deployment partnership with NASA and Voyager Space for the International Space Station in 2027. In this episode, we sat down with Ethan Barajas, CEO and Co-Founder of Icarus Robotics, to understand how they positioned teleoperated robotics as the wedge into a horizontal expansion strategy spanning satellite constellation servicing, space infrastructure maintenance, and eventually cislunar operations.Topics Discussed:Why the shift from NASA-funded ISS to commercial stations fundamentally changes the economics of space laborHow optical communications via Starlink reduced latency from 800ms (S-band radio relay through GEO) to 100ms, enabling Earth-based teleoperationThe teleoperation-to-autonomy data flywheel: collecting in-distribution physics data to train high-level movement primitivesFlight Heritage constraints at NASA and why mainline robotics run on chips that stopped production in the early 2000sCollaborating with commercial station developers during design phase to embed robotic-friendly architecture (hatch tabs, fiducials for localization)Horizontal expansion thesis: ISS labor as the corpus for intelligent robotics across multi-thousand satellite constellations and space infrastructureThe biological research unlock: how Keytruda's $25B revenue between 2023-2024 resulted from ISS protein crystallization researchGTM Lessons For B2B Founders:Time market entry to structural cost shiftsStack infrastructure betsBuild the data moat earlyInfluence infrastructure design earlyFrame automation as economic inevitabilityUse distribution to attract technical talentPlan horizontal expansion early// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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

She Whispered That Her New Boss Had Arrived And Not To Embarass Her - Then She Kicked Me OutBecome a supporter of this podcast: https://www.spreaker.com/podcast/true-cheating-wives-and-girlfriends-stories-2026-true-cheating-stories-podcast--5689182/support.

Send us your feedback — we're listeningRecorded live here in London, England Rio de Janeiro • Porto • Benguela • Beira • Chicago noite silenciosa • clamor interior • esperança escondida • presença que consola silent night • inner cry • hidden hope • comforting presence Psalm 77:6 (NIV) “I remembered my songs in the night…”mRomans 8:27 (NIV) “He who searches our hearts… intercedes in accordance with the will of God.” In these deep hours, Jesus, when the world is quiet but my thoughts are not, I bring You the weight I cannot resolve alone. Night has a way of pulling old fears forward and amplifying the questions I tried to silence earlier. But You, Jesus, are present even here — in the quiet, in the shadows, in the space where sleep slips away and the heart feels exposed. You know the inner cry that rises without sound. You understand the worry that circles the mind when the streets outside are still. In this moment, let Your presence settle over me like calm on troubled waters. Let noite silenciosa become a place where Your peace is not distant but near, covering every trembling thought. Search my heart, Jesus, and steady what shakes inside me. Replace the heaviness with esperança escondida, hidden hope that begins to rise even before the dawn. Where I feel alone, remind me that You intercede, You watch, You listen, and You speak peace into the places that feel restless. Let this night not work against me but become a turning point — a quiet sanctuary where Your comfort touches every corner of my being. Hold my mind, calm my breathing, and let Your gentle strength become the rhythm that carries me until morning comes. Amen. 3AM prayer, night watches devotional, Psalm 77:6 prayer, Brazilian Christian midnight prayer, Portuguese devotional, Jesus comfort at night, anxiety in the night prayer, inner cry spiritual help, quiet night hope, emotional rest in Christ night fear, Brazilian devotional, Portuguese Christian writing, emotional healing at night, Jesus comfort, quiet mind, spiritual rest, inner calm, hope rising in darkness Support This Ministry Now reaching 184 countries and 2,968 cities worldwide. Support this listener-funded ministry for just £3 per month at GlobalBlendRadio.com and help us keep Daily Prayer moving across the nations.Support the showDaily Prayer with Reverend Ben Cooper now reaches 184 countries and 2,968 cities worldwide through the Global Blend Radio network. This is a listener-funded global ministry. If these daily prayers strengthen your faith or help you through difficult seasons, would you consider becoming a monthly prayer partner for just £3 per month? Your support enables us to continue recording, hosting, and broadcasting daily biblical encouragement across the nations — keeping this ministry free and accessible to everyone who needs it. You can support today at GlobalBlendRadio.com. Together, we can keep prayer moving across the world. To submit a prayer request or connect with our global prayer community, visit DailyPrayer.uk. Buy me a Coffee

They Whispered the Ending Before It BeganBecome a supporter of this podcast: https://www.spreaker.com/podcast/darkest-mysteries-online-the-strange-and-unusual-podcast-2026--5684156/support.Darkest Mysteries Online

Try my other podcast, Calm History Access all 430+ episodes of Sleep Whispers (including lots of Story Time, Trivia Time, & Whisperpedia episodes) by becoming a Silk+ Member (FREE for a limited time!). Become a Silk+ Member (FREE for a limited time!) and enjoy over 600 total episodes from these podcasts: Sleep Whispers (430+ episodes) Calm … Continue reading Whisperpedia | The Historical Failure of “New Coke” in 1985 (A162) | Whispered Bedtime Sleep Stories

Clockwise is pioneering intelligent time management for knowledge workers, addressing the fundamental constraint that limits all knowledge work organizations: how teams allocate their most finite resource. Founded in 2016, the company has spent a decade solving the problem of calendar inefficiency and meeting overload that fragments productive time. In a recent episode of BUILDERS, we sat down with Matt Martin, Co-Founder & CEO of Clockwise, to learn about the company's journey from a three-year build cycle to serving major software organizations through a product-led growth motion, the strategic decisions behind targeting software engineers as their wedge market, and why the time management problem remains largely unsolved despite being obvious to anyone who's worked in a large organization.Topics DiscussedWhy time remains the primary economic constraint in knowledge work despite a decade of tooling evolutionThe three-year pre-launch build period and deliberate four-year path to monetizationTargeting software engineers as the wedge: ROI clarity in heads-down time versus meeting-heavy rolesThe graveyard of calendar productivity startups: UI-focused plays, consumer pivots, and buyer/user misalignmentTransitioning from pure PLG to blended motion with enterprise inbound and pilot programsThe stubborn reality of organic growth: why referrals dominate despite extensive channel experimentationBuilding toward AI-powered personalized time agents that embrace individual complexity//Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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

Dextall is attacking a structural inefficiency in construction: the 3-year design coordination cycle that precedes every mid-rise building, combined with the chaotic on-site execution that follows. Founded by Aurimas Sabulis after years running a commercial window company and witnessing construction site dysfunction firsthand, Dextall is building what Aurimas calls a "prefab operating system"—software that connects architectural design directly to factory production of building exteriors. In a market where less than 1% of U.S. mid-rise projects use prefab (versus 75% in Scandinavia), Dextall is bridging the 3-4 year gap between design inception and approved drawings while manufacturing building components that arrive on-site as "Lego blocks." In this episode, Aurimas shares the hard lessons learned from building in construction's unforgiving risk environment. Topics Discussed: Targeting the 6-40 story sweet spot: steel, concrete, and mass timber construction where prefab delivers maximum value (below 6 stories is wood frame; above 40 enters different glass-box typology) The reality of U.S. prefab penetration: 99% of projects in Dextall's pipeline would go traditional route without them Why the physical product stayed constant from day one while software took multiple failed iterations The expensive lesson: building software that goes from design to fabrication in one day, only to learn architects rejected it because it removed their design control Evolving from 2D drawings to 3D renderings to animations to physical two-story mock-ups—and why customers only "got it" after seeing real completed buildings Launching a separate SaaS division for architects that independently generates value while creating 90% backend efficiency when connected to Dextall's manufacturing The three-to-five-year vision: prompt-engineered buildings with real-time cost, carbon footprint, and feasibility feedback GTM Lessons For B2B Founders: Domain credibility is your entry ticket in risk-averse industries: Aurimas's first customers came because he had "street credibility"—a track record of delivering complex, large-scale window projects. In construction, healthcare, and other industries where failure has severe consequences, founders without domain experience face insurmountable trust barriers. If you're building in these markets without industry background, your co-founder or first hires must bring that credibility, or you'll burn years trying to earn it. Proof velocity matters more than proof perfection: Dextall moved from 9-story buildings to 40-story projects by stacking proof points, not by waiting to debut with a showcase project. Each successful delivery de-risked the next larger bet. Founders should optimize for proof velocity—getting the smallest viable validation that enables the next larger commitment—rather than trying to land the trophy customer that "proves everything." Physical businesses require physical proof—budget accordingly: Dextall built multiple two-story physical mock-ups and actual buildings before customers truly understood their value proposition, despite having sophisticated 3D animations. Aurimas noted customers kept claiming they understood, then asking the same questions until they could physically see and touch completed work. If you're building in construction, manufacturing, or industrial sectors, your CAC will include physical demonstration costs that software founders never face. Budget 3-5x what you think you'll need for mock-ups and proofs of concept. Workflow disruption fails when you remove user agency: Dextall's software could compress 3-4 years of design coordination into one day—a 1000x improvement. Architects rejected it because it was "too heavy" and removed their control over design. The team had to rebuild to let architects control design while Dextall's system handled the backend connection to manufacturing. When your "better way" requires users to surrender control or change how they think about their craft, you're not selling efficiency—you're selling identity change, which rarely works. Find the integration layer that adds value without displacing existing agency. In mature industries, selectively challenge the status quo: Aurimas explicitly asks "is this fight worth fighting?" when Dextall encounters resistance to their approach. They focus on 3-4 nuances at a time rather than attempting to fix all 100 industry problems. When pushback happens, they evaluate whether to press the issue or "build deeper trench within the customer base" first, then return to that battle later. Founders tackling established industries should map their battles, not just their product roadmap—identify which conventions are essential to challenge for your value prop, and which can wait until you have more market power. Bridge disconnected systems rather than optimizing endpoints: The construction industry has sophisticated design tools (AI-powered generative design) and manufacturers (though often Excel-based). Dextall's differentiation is connecting these two worlds—architects can design freely, and their designs automatically translate to manufacturing specifications with real-time costing and feasibility. Many mature industries have this pattern: advanced front-end tools, capable back-end production, but manual/broken handoffs between them. The integration layer often provides more defensible value than improving either endpoint. Layer software distribution onto enterprise sales once you have proof: Dextall spent years doing "old school" enterprise sales—cold calling developers, lunch-and-learns with architects, bringing customers to job sites. Only after building credibility and understanding architect workflows are they launching SaaS for architectural firms. The software creates independent value for architects while generating 90% backend efficiency for Dextall when connected. Founders in hybrid businesses should resist the temptation to lead with software distribution before proving the full value chain works—but actively build toward that transition. // 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

hema.to is building AI-powered diagnostic infrastructure for cytometry—a specialized area of laboratory medicine analyzing immune system data to detect blood cancers like leukemia and lymphoma. Unlike radiology or pathology where AI solutions are abundant, cytometry has remained largely untouched by the AI wave, creating both opportunity and isolation for the Munich-based company. In a recent episode of BUILDERS, we sat down with Karsten Miermans, CEO at hema.to GmbH, to discuss why they're deliberately keeping sales founder-led despite having paying customers, how South America became an unexpected beachhead market, and what it actually means to build infrastructure versus point solutions in healthcare. Topics Discussed:  From consulting project to venture-backed company: recognizing scalability in hindsight  The workflow integration problem killing healthcare AI implementations  Infrastructure versus technology: why healthcare AI isn't just about the algorithm  Learning ideal customer profile after 18 months of being "all over the place"  Why South America's governance structure enables faster adoption than the US  Resisting the urge to hire sales before achieving true repeatability  The 10-year vision: shifting from "watch and wait" to "predict and prevent" in immune disease GTM Lessons For B2B Founders: Pattern matching fails when you're an outsider—budget 18+ months to find your beachhead: Karsten assumed every application of their diagnostic method was the same and spent a year and a half "blue eyed" (naively optimistic) before identifying their true ICP. The outsider advantage lets you reimagine workflows insiders can't, but you'll incorrectly assume transferability across use cases. Don't expect repeatability in year one when entering regulated, workflow-dependent markets. Infrastructure requires multi-stakeholder orchestration—resource for enterprise complexity from day one: Karsten distinguishes technology (point solutions, single users) from infrastructure (shared resources requiring data exchange and workflow integration). In healthcare, this means integration into hospital systems, databases, and electronic health records across multiple stakeholders. "Every sale becomes enterprise sales" even for individual labs because of this infrastructure requirement. Founders building horizontal platforms should model sales cycles and resource requirements as enterprise from the start, regardless of deal size. Your ICP is cognitively overloaded—they won't understand your category innovation: Doctors are "under so much pressure that they just don't have any cognitive capacity left" to philosophically evaluate why AI might be difficult to implement or how infrastructure differs from technology. They need problems solved within their existing mental models. Skip the category education. Frame everything as workflow enhancement, not innovation. Let sophistication emerge through implementation, not pitch decks. Revenue doesn't equal repeatability—know when you're still in discovery mode: Despite having paying customers, Karsten explicitly states "we're not at product-market fit yet" because they're "discovering and learning things with every new laboratory hospital" around data privacy, integration, and AI deployment. The PMF signal isn't customer count or revenue—it's when the process becomes predictable, customers refer others, and you stop discovering new requirements. Hiring sales before this point scales complexity, not revenue. Regulatory friction determines market sequencing, not just market size: US governance complexity turns every deal into heavy enterprise sales with "many stakeholders," while South America proved "much more willing to move with fewer processes," making them "just much faster to adopt innovative technology." This wasn't strategy—Karsten's CTO speaks Spanish through a personal connection. But the lesson transfers: for infrastructure plays in regulated markets, test adoption velocity in lower-governance environments first to build proof points, even if TAM looks smaller on paper. In healthcare, marketing is clinical evidence—customer success creates your GTM flywheel: Karsten spends minimal time on marketing because beyond the first 5-10 users, doctors "want to see clinical evidence, they want to see papers, they want to see maybe that a friend of theirs is using it." Marketing in healthcare isn't content or demand gen—it's peer validation and published proof. Founders should structure early customer engagements to generate this evidence, not just revenue. The "marketing sales flywheel really does kick in much more once you have product market fit" because PMF enables the evidence generation required for credibility. // 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

Empathy is pioneering bereavement care as an enterprise benefit, transforming how employers and financial institutions support employees during life's most challenging transitions. Working with 9 of the top 10 life insurance carriers in the US and Canada—covering over 40 million people—Empathy created a new category by combining grief support with practical logistics like probate navigation, account deactivation, and estate settlement. In a recent episode of BUILDERS, we sat down with Ron Gura, Co-Founder & CEO of Empathy, to learn how the company went from testing five verticals simultaneously to dominating life insurance, then leveraged the group life/employer overlap to expand into employee benefits. Topics Discussed: Testing five enterprise verticals simultaneously to find product-market fit Landing New York Life through their venture arm and innovation team Why life insurance carriers need to be risk-averse (and how to work with that reality) The strategic overlap between group life insurance and employee benefits Investing in brand at seed stage when your barrier to entry is psychological aversion Navigating dual audiences: decision-makers in their workday versus end users in crisis Expanding from loss to adjacent life transitions like disability leave and estate planning GTM Lessons For B2B Founders: Run parallel vertical tests with focus constraints, not sequential exploration: Ron identified 10+ potential verticals but intentionally tested exactly five simultaneously—hospices, funeral homes, employers, and two others before life insurance emerged as the winner at position five. This parallel testing with artificial constraints forces prioritization while dramatically compressing time-to-insight. Sequential testing would have meant potentially cycling through five failed pilots before discovering their strongest market. B2B founders with horizontal platforms should pick their top 3-5 verticals and run focused pilots in parallel, accepting that this burns more resources upfront but eliminates the risk of quitting before finding your wedge. Map the ecosystem overlap between buyer personas before choosing your wedge: Empathy's expansion from life insurance to employers wasn't growth strategy—it was recognizing an architectural reality. Half their carriers sell group life, meaning MetLife doesn't sell to consumers at metlife.com but exclusively to employer groups. When Amanda at Paramount loses her sister (not covered by insurance), she calls Paramount HR. When her husband dies (covered by MetLife group policy), the beneficiary calls MetLife. Same end user, two different enterprise entry points into the same moment. B2B founders should map these triangular relationships before choosing their wedge vertical. The question isn't just "who has budget?" but "who else touches this user in adjacent contexts?" Brand investment at seed stage is product strategy when fighting cognitive aversion: Ron's insight: "The barrier to entry isn't regulatory and isn't technology. It's us humans trying really hard not to think about our own mortality." This isn't a marketing problem—it's a fundamental go-to-market blocker. The company made what most would consider Series A investments (premium domain, design system, tone/voice framework) at seed stage specifically because brand reduces psychological friction to adoption. Contrast this with Monday.com starting as "daPulse" and rebranding years into success. B2B founders addressing taboo topics (death, mental health, financial distress, relationship issues) should model brand as a core distribution lever, not post-PMF polish. In deeply human categories, buyer's lived experience is your demo: Enterprise buyers at Citibank, MetLife, or Google aren't experiencing crisis during the sales cycle—they're evaluating ROI in their normal workday. But as Ron noted, "Everyone we're talking to...they're humans. They have parents, they had loss, they went through probate." The most common response after seeing the product: "Damn, I wish you called me a few months ago. I needed this a year ago with my mom." This turns product demo into personal recognition. B2B founders in universal human experience categories (caregiving, bereavement, parental leave, financial stress) should structure discovery and demo to activate buyer's memory of their own experience, not just their budget authority. Category creation is a resource-attraction strategy that trades speed for competitive exposure: Ron explicitly acknowledged: "There's pros and cons to defining a category. It's helpful when you attract resources, talent, capital. It also creates very fertile ground for a number two sympathy.com to come along and learn from this podcast...what to go after." Category leadership accelerates recruiting and fundraising by providing narrative clarity, but it simultaneously publishes your playbook. Every hiring blog post, podcast appearance, and positioning document teaches future competitors which verticals to target and which to avoid. B2B founders should treat category creation as a conscious bet: trade competitive opacity for talent/capital velocity. If you're not ready to defend your position, stay in stealth longer. Bridge new categories to existing budget lines through analogous benefits: When entering new verticals beyond life insurance, Ron doesn't educate from zero. With employers, he positions bereavement care alongside caregiving solutions, fertility programs, and parental leave: "This is a life transition happening in my own intimate house. Just like a new baby. I have new duties now." This isn't metaphor—it's budget mapping. Bereavement care gets evaluated against existing family benefits spending, not created from scratch. B2B founders in new categories should identify which existing line item their solution logically extends, then structure ROI narratives around reallocation, not net-new budget creation. // 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

Angulimala: From Terror to TruthFeared by kingdoms. Hunted by armies. Whispered about in terror.Once, Angulimala was not a monster—but a brilliant student, betrayed by fate and twisted by a cruel vow. Driven into the forest, he became a feared bandit, wearing a garland of fingers as proof of lives taken, spreading dread wherever he walked.Villages fell silent at his name. Mothers hid their children. Kings failed to stop him.And then—one day—he met Gautama Buddha.What happened in that encounter changed not only Angulimala's life, but the meaning of redemption itself. A single conversation stopped a killer where swords and soldiers could not. A heart hardened by violence learned compassion. A man destined for darkness walked toward awakening.

Ridepanda turned the failed unit economics of shared micro-mobility into a viable B2B model by eliminating operational costs that drove Lime's per-minute pricing from $0.15 to $0.55. After working at Lime and seeing firsthand why rebalancing, charging, vandalism, and theft made profitability impossible, Co-founder Chinmay Malaviya built a subscription model where employers subsidize personal e-bikes and scooters for employees. The insight: commuting is planned travel with validated enterprise budgets already allocated to parking, shuttles, and transit. Ridepanda now works with Amazon, Google, and County of San Mateo, achieving 5-15% employee adoption—triple San Francisco's 2-4% bike commute rate—with 85% being net-new riders who've never regularly used bikes or scooters before. Topics Discussed: Why shared micro-mobility's cost structure (rebalancing, charging, vandalism) made $0.55/minute pricing inevitable Targeting enterprise transportation teams versus mid-market HR benefits buyers as distinct ICPs Subscription economics: $50-$250/month with employer subsidies only triggering on employee sign-ups Converting non-riders to daily commuters: 85% adoption from people who previously didn't bike/scooter Enterprise-first strategy: going where dedicated teams and budgets already exist for employee transportation Vertical expansion into manufacturing, law firms, hospitals, and universities GTM Lessons For B2B Founders: Target existing budget holders, not net-new spending: Enterprises already fund parking facilities, shuttle services, van pools, and commuter benefits through dedicated transportation and facilities teams. Ridepanda didn't create a new expense category—they repositioned within existing line items. This meant selling to buyers with validated pain, allocated budget, and quarterly goals tied to employee transportation. When entering established markets, map where your solution fits in current spending patterns rather than forcing buyers to carve out new budget. Structure pricing to eliminate perceived risk: The subsidy only applies when an employee signs up—there's no upfront commitment or wasted spend on unused capacity. This removed the enterprise objection of "why am I paying when I'm not getting anything." For a new category where adoption rates are unproven, usage-based pricing aligned incentives and made pilots trivial to approve. When selling unproven solutions, architect your commercial model so the buyer's risk scales linearly with actual utilization. Segment ICP by buyer motivation, not just company size: Enterprise buyers (transportation/facilities teams) optimize for modal shift, carbon reduction, and getting employees out of single-occupancy vehicles. Mid-market buyers (HR/benefits managers) optimize for return-to-office adoption, wellness metrics, and benefits competitiveness. Same product, completely different value props and sales conversations. Don't assume company size determines buyer psychology—map the org chart to understand who owns the problem and what they're measured on. Attack broken unit economics, not just user experience: Lime's pricing increase from $0.15 to $0.55 per minute wasn't greed—it was fundamental business model failure. Shared services require rebalancing fleets, charging distributed assets, and absorbing vandalism/theft losses. Personal ownership via subscription eliminated every operational cost that made shared mobility unprofitable. When incumbents are struggling financially despite strong demand, the opportunity isn't better execution—it's a structural model shift. Prove behavior change at enterprise scale, not just product-market fit: Achieving 5-15% employee adoption when the city baseline is 2-4% demonstrates that subsidized access plus personal ownership drives 3x penetration. More critically, 42% daily usage from an 85% net-new rider base proves the model creates new commuting behavior rather than capturing existing cyclists. Enterprise buyers focused on emissions and modal shift care about conversion metrics, not vanity usage numbers. Define the transformation metric that proves you're changing behavior systemically, not incrementally. // 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

The cross-border payments market remains stubbornly difficult despite billions in venture capital and countless smart founders attacking the problem. The core challenge isn't technology—it's economics. Western Union's margins weren't exploitative greed; they reflected the brutal reality of cash distribution networks, compliance infrastructure, and dual-country regulatory overhead. Palla Financial cracked this by inverting the entire model: instead of fighting for expensive US-based senders, they partnered with Latin American banks to let recipients pull funds. This approach taps into the world's largest remittance corridor ($160+ billion annually flowing from the US to Latin America) while sidestepping the customer acquisition bloodbath. In this episode, Enrique Perezalonso, CEO of Palla Financial, breaks down why recipient-driven payments eliminate distribution costs, how they rebuilt their product three times based on bank feedback, and why the "no CAC" embedded model still requires massive partner investment to actually work. Topics Discussed: Why cross-border payments remain broken: dual-country regulations, cash distribution economics, and two-sided transaction complexity The shift from cash-based infrastructure to digital rails and its impact on unit economics Palla's pull-based model: embedding payment requests inside bank apps to flip sender/recipient dynamics Revenue mechanics: $3 consumer fees, FX markup economics, and interchange/revenue sharing with bank partners The buy-vs-build calculus for banks and why a Central American banking group returned after a four-year internal build attempt Creating a new category and watching competitors attempt to copy the embedded approach Selling into banks with no standardized buyer: navigating from remittance teams to CEOs depending on organizational maturity The reality of "indirect" CAC: why embedded distribution still requires heavy investment in partner success Implementation failures and the shift from hands-off best practices to consultative partner enablement GTM Lessons For B2B Founders: Flip expensive distribution by attacking the other side of the transaction: While competitors burned cash acquiring US-based senders in saturated corridors (US-Mexico, US-India), Palla partnered with recipient-side banks in Latin America. Banks gained deposits, interchange revenue, and digital channel differentiation without building infrastructure. The lesson isn't just "find cheaper distribution"—it's recognizing that two-sided markets have two potential wedges, and the less obvious side may offer superior economics and strategic positioning. Target buyers who already tried and failed to build: A Central American banking group spent nine months evaluating Palla, decided to build internally, then returned four years later. This wasn't poor execution—it was competing priorities, lack of scale economics, and the reality that cross-border payments isn't their core business. The strongest signal for partnership readiness isn't interest, it's previous build attempts that stalled. These buyers understand the problem deeply and won't need convincing on value. "Embedded" and "no CAC" are myths without massive partner investment: Palla initially provided best practice guides and light coaching, assuming banks would naturally drive adoption. They saw "lackluster results" until they became "more and more hands-on," shifting to consultative implementation with proper incentive design and accountability frameworks. The volume business requires scale, and scale requires active partner management. Budget for partner success resources as if you're hiring an implementation consulting team, not just doing integrations. Use speed to rebuild the product in real-time with customers: The product Palla launched bears little resemblance to their original vision. They rebuilt features "hand in hand" with bank partners, leveraging their advantage over large competitors: no bureaucracy, hunger to make it work, and speed. This isn't about "customer feedback"—it's about treating early partners as co-developers and having the discipline to throw away your original roadmap when partners show you what actually solves their problem. Extreme focus means saying no to everything adjacent: Palla deliberately limits themselves to "two or three products" all within cross-border payments, explicitly avoiding cross-sell opportunities and adjacent revenue streams. Enrique notes this is both their moat and "a potential pitfall" when opportunities multiply with success. The discipline isn't about focus when you're struggling—it's about maintaining focus when growth creates endless plausible expansions. Each "yes" to something new is a "no" to deepening your core advantage. // 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

Positron AI is a 2+ year old silicon company targeting decode-heavy AI inference workloads where memory bandwidth, not compute, is the bottleneck. Launching end of 2025/early 2026, their architecture delivers 2TB of on-chip memory capacity versus Nvidia Rubin's 0.4TB—enabling 3-5x better performance per dollar and per watt for reasoning models, code generation, and video generation. In this episode, Mitesh Agrawal shares how Positron identified the memory bandwidth gap in a market where Nvidia controls 90%+ share, why they're prioritizing anchor customer commitments over product completion, and the hard lessons from Lambda Labs about rapid iteration and customer-driven optionality. Topics Discussed: Positron's technical approach: focusing on memory bandwidth and capacity over compute for inference workloads Why decode-heavy applications (reasoning models, video generation, code generation) are becoming memory-bound The challenge of selling silicon to hyperscalers when Nvidia controls 90%+ of the market Building optionality into product strategy: air cooling vs. liquid cooling as unexpected GTM advantage Learning to sell hardware before the product ships and why anchor customers matter Lambda Labs experience: lessons on rapid iteration and thoughtful hiring during hypergrowth Maintaining engineering-centricity: 47 of 50 employees focused on product development GTM Lessons For B2B Founders: Find technical bottlenecks in high-growth markets: Positron identified that memory bandwidth wasn't scaling as fast as compute, creating a bottleneck for inference workloads. While Nvidia dominates with 90%+ market share, they optimize for training revenue. B2B founders should analyze where dominant players are constrained by their own economics or existing roadmaps, then build specifically for those underserved segments. Markets default to oligopoly, not monopoly: Mitesh observed that customers actively seek alternatives even when one vendor is superior. "Markets want oligopoly structure to exist," he explained. B2B founders shouldn't be discouraged by dominant incumbents—customers want optionality for leverage, supply chain resilience, and risk management. Position yourself as the credible alternative in specific use cases. Discover optionality through customer conversations: Positron initially pitched performance per watt without realizing air cooling capability was a major advantage. Only after selling their first product did they learn customers valued deploying in existing data centers without infrastructure overhauls. B2B founders should systematically debrief early customers to uncover which features solve problems you didn't anticipate. Sell before shipping in hardware: The biggest priority between now and product launch is securing anchor customers willing to commit purchase orders. "If you have someone to build for, the fillip it gives the engineering team, the confidence it gives operations and supply chain vendors—we underwrite that," Mitesh emphasized. Pre-sales derisk production, prove demand, and create momentum. B2B hardware founders should treat early customer commitments as product validation, not just revenue. Build storytelling into technical sales: Convincing customers to buy unshipped hardware requires months of narrative work. "It becomes like, if I sell it to you, why will it be useful to you? Is it going to save cost? Attract new customers? Drive growth?" Success means co-creating the internal business case your champion will present. B2B founders should invest heavily in helping customers articulate ROI and strategic value before asking for commitments. Maintain rapid iteration cadence: Nvidia ships every 12-15 months versus the industry standard of 3-4 years. "If you tell me that in 10 years you've launched 10-12 products in silicon, I will give much more probability we will be successful," Mitesh stated. B2B founders should structure operations and product development for continuous iteration rather than big-bang releases, even in traditionally slow-moving industries. Delay non-engineering hires until product proves itself: With 47 of 50 people in engineering, Positron has consciously prioritized product over go-to-market. "It was a very conscious decision," Mitesh emphasized. For deep-tech companies, this focus ensures you can actually deliver before scaling sales. B2B founders should resist pressure to build balanced teams early—let roles emerge from real needs rather than theoretical org charts.     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

CoreStory is building code intelligence platforms that address the fundamental limitation of today's coding agents: their inability to navigate complex enterprise codebases. While foundation models excel at greenfield development, they fail at real-world engineering tasks in systems spanning millions of lines of code. CoreStory's context layer delivers a 44% improvement on SWE-bench, the industry's standard benchmark for measuring coding agent effectiveness on actual GitHub issues. In this episode of BUILDERS, I sat down with Anand Kulkarni, CEO of CoreStory, to explore how his team is enabling the shift to AI-native engineering and seeding the category of spec-driven development across Microsoft, GitHub, and Amazon. Topics Discussed: Building with GPT-3 API 18 months before ChatGPT went public Why even GPT-5 and Opus 4.5 struggle with enterprise codebases on SWE-bench The narrative shift required when selling AI pre- and post-ChatGPT CoreStory's 44% improvement in coding agent performance through context intelligence How "spec-driven development" got adopted by Microsoft, GitHub, and Amazon without formal analyst relations The parallel between JIRA monetizing Agile and CoreStory enabling AI-native engineering Three-channel distribution: direct enterprise, coding agent partnerships via MCP, and hyperscaler/GSI routes Why specs become the source of truth while code becomes disposable in the AI era GTM Lessons For B2B Founders: Match your narrative precision to technical depth: CoreStory deploys three distinct positioning strategies based on audience sophistication. For AI practitioners tracking benchmarks, they lead with "44% SWE-bench improvement"—a metric that immediately signals meaningful progress on the hardest problem in the space. For engineering leaders aware of AI tooling but not deep in the research, they focus on velocity gains and ROI metrics. For executives, they describe reverse-engineering codebases into machine-readable specs. The key insight: technical audiences dismiss vague value props, while non-technical audiences get lost in benchmark details. Map your positioning to how your audience measures success in their world. Seed category language through earned adoption, not manufactured consensus: Anand initially called their approach "requirements-driven development" before simplifying to "spec-driven development." Rather than pitching analysts, they used the term consistently in customer conversations, gave talks at GitHub Universe, and shipped demos showing the workflow. When customers naturally adopted the language and community leaders began using similar terminology independently, Microsoft and GitHub followed with their own implementations (like GitHub's SpecKit). The lesson: category language sticks when practitioners choose to use it because it clarifies their work, not because a vendor pushed it. Focus on customer adoption as proof of concept before seeking broader market validation. Position against emergent practices, not just incumbent products: CoreStory doesn't position against legacy code analysis tools—they position as the enabler of AI-native engineering, the discipline that will displace Agile. Anand's insight from watching JIRA's success: "People don't love JIRA. What they love is Agile as a way to move away from waterfall." CoreStory is betting that 10x velocity gains from AI-native practices will drive the same categorical shift. When you're early in a technology wave, attach to the practice change (how teams will work differently) rather than feature comparisons with existing tools. Movements create markets. Design channel strategy around customer problem awareness: CoreStory's three channels map to different stages of buyer sophistication. Direct enterprise comes from teams already deep in AI engineering who've hit the context limitation wall. Coding agent partnerships (via MCP integration with tools like Cognition and Factory) serve builders wanting better AI tooling who haven't diagnosed the context problem yet. Hyperscalers and GSIs distribute into modernization and maintenance projects where AI enablement is emerging as a requirement. Each channel serves a distinct buyer journey stage. Don't force one go-to-market motion—design multiple paths based on where different customer segments are in understanding the problem you solve. Navigate pre-legitimacy markets by hiding the breakthrough: Before ChatGPT, selling anything AI-driven faced immediate skepticism about whether it was "real" or just smoke and mirrors. Anand couldn't lead with AI without triggering disbelief. CoreStory focused on delivered outcomes—"here's what you'll be able to do"—with AI as the mechanism, not the message. Post-ChatGPT, the challenge flipped: everyone expects AI, but now the differentiation question becomes harder. If you're building on emerging technology before market consensus forms, deemphasize the technology until buyers have context to evaluate it. Once the market validates the technology category, shift to demonstrating your specific technical advantage within it. // 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

theion is developing lithium-sulfur battery technology targeting 500 watt hours per kilogram in their first commercial product—nearly double today's lithium-ion cells at 270-300 Wh/kg—with an ultimate roadmap to 1,000 Wh/kg. By replacing nickel-manganese-cobalt cathodes with crystalline sulfur and graphite anodes with lithium metal, theion aims to deliver three times the energy density at one-third the cost and CO2 footprint of current batteries. In this episode of BUILDERS, we sat down with Dr. Ulrich Ehmes, CEO of theion, to discuss how a production-focused CEO is navigating the journey from TRL 3-4 to pilot line, why they're targeting electric aviation first, and how a 12-year battery industry veteran evaluates what actually constitutes a materials breakthrough. Topics Discussed: Why sulfur cathodes and lithium metal anodes enable the performance jump beyond lithium-ion The critical importance of monoclinic gamma crystalline structure for cycle life  Navigating the transition from coin cells to pouch cells to industrialization  Strategic decision-making on initial market entry for deep tech hardware  Why process innovation in mixing and coating is required to unlock sulfur's full potential  Building a China-independent supply chain using oil refining waste  The 3-year development reality driven by cycling test requirements GTM Lessons For B2B Founders: Price your technology against value creation, not cost savings alone: Ulrich's market strategy centers on "markets which will pay a lot of money for super lightweight batteries"—specifically aviation applications where weight reduction directly enables business model viability. For eVTOLs, the constraint isn't battery cost but energy density; current batteries make many routes economically impossible. This is fundamentally different from cost-driven markets like consumer EVs where incremental weight savings have marginal value. Deep tech founders should map which customer segments face hard physical constraints that only your technology solves versus those seeking incremental optimization. The former will pay 3-5x premiums; the latter will demand cost parity from day one. Match CEO background to the company's primary risk: Ulrich led Leica's 600-person Portugal production facility for a decade before entering batteries, and he frames his value as "I'm a production guy...for me it's very important not to produce only one battery cell in a lab, but millions of cells in highest quality." For a battery company at TRL 3-4 moving toward industrialization, the existential risk isn't the science—it's whether you can manufacture at quality and yield. Many deep tech companies fail because PhD founders remain CEOs through manufacturing scale-up. Ulrich's hire signals that theion's board correctly diagnosed their de-risking sequence. Founders should brutally assess what will kill the company in the next 24 months and ensure the CEO's pattern recognition matches that failure mode. Seek investors where your technology is infrastructure for their thesis: theion's primary investor is "heavily invested in eVTOLs," making theion's battery technology directly relevant to multiple portfolio companies facing the same energy density constraint. This creates structural alignment on timeline expectations—eVTOL companies won't reach commercial scale before 2027-2028 anyway, matching theion's development cycle. The investor understands that battery development "takes time because always when you change a parameter, you have to cycle again to test the cells." This is radically different from a generalist VC expecting SaaS-like iteration speeds. Hardware founders should explicitly map how their technology unblocks other portfolio companies and use this to negotiate patient capital terms and strategic customer introductions. Use competitive landscape size as legitimacy signal, not differentiation: When pressed on disrupting incumbents, Ulrich immediately countered: "We are not the only company working on sulfur and this is good...there are 28 other companies out there." He then differentiated on "monoclinic gamma crystalline structure" validated by Drexel University achieving 4,000+ cycles. This is sophisticated category positioning: the 28 competitors validate that lithium-sulfur is a credible next-generation technology, while the specific crystalline approach provides technical differentiation for those who understand the chemistry. Founders should resist the urge to claim they're the only ones solving a problem in nascent categories—it raises "why hasn't anyone else tried this?" concerns. Instead, position within an emerging category and differentiate on technical approach. Communicate realistic timelines as competence signaling, not weakness: Ulrich states plainly that commercial availability is "at least the next three years" and frames this as doing "first things first and first things right." For sophisticated buyers in aviation and aerospace, compressed timelines signal naivety about certification requirements, manufacturing validation, and qualification testing. A battery company claiming 12-month commercialization would lose credibility with Boeing or Joby Aviation procurement teams who understand the actual development cycles. Deep tech founders should recognize that customer segments accustomed to long development cycles (aerospace, automotive, medical devices) interpret realistic timelines as domain expertise, while consumer/software buyers may interpret them as lack of urgency. Match timeline communication to buyer sophistication. // 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

Lula rebuilt property maintenance from the ground up by solving a fundamental problem: property managers spend 40% of their time coordinating maintenance with zero visibility into work order status. After pivoting from a B2C app when they discovered landlords were their actual users, Bo Lais and his team made a critical insight—deep PMS integration wasn't a feature, it was the entire go-to-market strategy. Today, Lula's 9,000-contractor network processes 1,000 work orders daily across 50 markets, performing 30 HVAC replacements per day at scale that enables direct manufacturer relationships. Now they're commercializing their internal tech stack as Foresight, a standalone SaaS platform launching Q1. In this episode of BUILDERS, Bo breaks down the strategic decisions behind building integrations as distribution, using network density to create pricing advantages competitors can't match, and knowing when to productize your internal tools. Topics Discussed: Why the B2C to B2B pivot happened after discovering usage patterns, not market research How PMS integration eliminated "swivel chair" friction and became the primary distribution channel Strategic partnership depth over breadth: enabling co-selling with AppFolio, Buildium, Yardi rather than partner proliferation The 250-door threshold where maintenance coordination breaks and technology becomes necessary Network density economics: 30 daily HVAC replacements creating leverage for direct manufacturer negotiations and flat-rate service catalogs The decision framework for commercializing Foresight based on upstream customer advisory group feedback Maintaining discipline around ICP when sales teams naturally want to expand GTM Lessons For B2B Founders: System of record integration is your distribution strategy, not a feature: Lula's standalone app created adoption friction because property managers refused to work outside their PMS. Bo's realization: "They need everything to live in their system of record...They don't want swivel chair. And then providing that real time visibility throughout the entire life cycle of the work order was really valuable because prior to that they assign it to a vendor, and then they cross their fingers and hope that it gets done." The integration solved both adoption friction and delivered continuous visibility their workflow demanded. For B2B founders: if your users live in Salesforce, HubSpot, or vertical-specific platforms all day, your integration strategy IS your distribution strategy—build there first, not alongside. Strategic partnerships require enablement infrastructure, not just signed contracts: Bo's approach rejects partnership sprawl: "It's not about stacking on another 10 partnerships, it's about how do we go deeper and enable those partners to co-sell with us and talk about the value props that together we can provide." This means building co-selling toolkits, joint value propositions, and partner success metrics. For B2B founders: one partnership where the partner's sales team actively sells your solution beats ten partnerships where you're just listed in a marketplace. Invest in making partners successful sellers, not collecting logos. ICP discipline requires sales team enforcement mechanisms, not just definitions: Lula knew their ICP but struggled with execution. Bo learned "it's one thing when we understood who our ICP was, but then it's a whole nother thing to adhere to that and get the sales team to adhere to that ICP." The specificity matters: residential (not multifamily), single-family, 250+ doors (where coordination breaks), capped at several thousand doors (before enterprise needs diverge). For B2B founders: document your ICP, but also build the compensation structures, deal approval processes, and CRM workflows that prevent sales from chasing deals outside the sweet spot—even when quota pressure hits. Message outcomes customers measure, not the technology delivering them: Bo's AI framing: "They care about the outcomes, right? If we're able to move the needle on the outcomes and provide a better experience for residents by automating communication, automating the time to schedule, automating the time to get resolution...it's not the how, it's the result." Lula's AI eliminates truck rolls through upfront troubleshooting and improves one-trip resolution rates—that's what property managers track. For B2B founders: if your customer's boss asks "how's that new tool working," they answer with metrics they're held accountable for (resolution time, truck rolls, resident satisfaction), not "it uses AI." Lead with those metrics. Productize internal tools when customer advisory groups request them and you have defensible advantages: Lula commercialized Foresight after upstream customers specifically asked for their tech during advisory sessions. Bo's competitive moat thinking: "Everyone else thinks they're going to do it better with the AI and automation they have. But our competitive moat is that our on-demand network is built inside this AI work order management system. And because of the scale of our network and the buying power, we can provide instant quotes for a lot of services...our competitors that are just doing software don't have this network of contractors nationwide." For B2B founders expanding product lines: customer pull plus operational advantages competitors can't replicate (Lula's contractor density, manufacturer relationships, 1,000 daily work orders of training data) create viable new products. Without both, you're just building undifferentiated software. // 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

Telo Trucks is reimagining the American pickup for dense urban environments. With over 13,000 reservations and plans to deliver their first vehicles in 2026, Telo is tackling one of the hardest challenges in business: starting an automotive company. In a recent episode of BUILDERS, I sat down with Jason Marks, CEO & Founder of Telo Trucks, to learn about the company's journey from building electric motorcycles to creating a mini truck that's 152 inches long—shorter than a Mini Cooper—but delivers the bed capacity of a full-size pickup. Topics Discussed: Pivoting from electric motorcycles to mini trucks after weekend street research revealed 89% preference for trucks Solving the safety engineering challenge of vehicles with no front overhang and minimal crumple zones Reaching unit profitability at 5,000 vehicles before attempting volume manufacturing Dual go-to-market strategy serving both urban consumers and commercial fleets replacing golf cart + truck combinations Navigating overlapping regulatory jurisdictions: NHTSA, EPA, CARB, IIHS, IICAR, and functional safety standards Running 100 virtual crash simulations daily using automated AI tools to accelerate safety validation Learning from 60+ failed automotive startups that rushed to high-volume manufacturing without proving fundamentals GTM Lessons For B2B Founders: Compress customer validation into concentrated research sprints: Jason spent one weekend conducting street interviews across LA and San Francisco—hitting sidewalks, motorcycle meetups, and car meets with concept drawings. 89% of respondents, including dedicated motorcyclists, pointed to the mini truck concept over the motorcycle Telo was building. This wasn't survey data or focus groups—it was showing drawings to real buyers in target markets and asking direct questions. B2B founders should design rapid validation sprints that test core assumptions with target buyers in their natural environment before significant capital deployment. Pivot immediately when validation data is definitive: Telo was in final partner meetings for their motorcycle fundraise when weekend research proved trucks were the opportunity. On Monday morning, they opened the VC call with "Stop. Before you say anything, we're pivoting 100% to mini trucks." The investors called back two hours later and committed. The lesson isn't just willingness to pivot—it's having the conviction to act on clear data even when it disrupts active processes. B2B founders should establish decision thresholds: what percentage of target customers pointing to a different problem would trigger a strategy change? Reverse-engineer failure patterns in your category: Jason systematically studied the 60+ automotive startup failures and identified the core pattern: raising massive capital ($100M-$1B+) created pressure to sprint toward high-volume manufacturing before proving unit economics or even delivering vehicles. Telo's counterstrategy is explicit: achieve unit profitability at 5,000 vehicles using one-tenth the capital of predecessors. This isn't generic "learn from failures"—it's forensic analysis of what killed companies and designing operational constraints that make those failure modes impossible. B2B founders should map the 5-10 companies that died in their category, identify the 2-3 recurring failure patterns, and build those constraints into their operational model. Announce vision publicly to surface latent demand: Telo launched with a full-size foam and fiberglass vehicle model in June 2023 targeting urban consumers. Commercial buyers—downtown construction companies, wineries doing urban delivery, city parks departments—immediately contacted them. These buyers were spending $80,000 combining golf carts for site work with full-size trucks for materials, creating maintenance nightmares. They needed one platform replacing both. B2B founders shouldn't just build in stealth—strategic public announcements surface buyer segments and use cases you didn't model, especially when your product solves problems in adjacent categories. Define unit economics constraints, then cascade all decisions from them: Telo's entire strategy works backward from one milestone: unit profitability at 5,000 vehicles. This constraint cascades: pricing structure, component COGS targets, manufacturing approach (low-volume vs. high-volume tooling), distribution model (direct vs. dealer), insurance program design. Every functional area has targets derived from the profitability constraint. B2B founders should identify their critical economics milestone, then explicitly cascade what must be true across pricing, CAC, gross margin, and operational efficiency to hit it—before building the go-to-market motion. // 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

This is a Grave Talks CLASSIC EPISODE! PART TWOIn the 1800s, The Park Hotel in Yorkshire stood as a symbol of elegance — a seaside retreat for mill workers seeking rest and entertainment, and a favored stop for performers traveling through the region. But behind its charm and glamour, a darker story was quietly unfolding.According to investigator Andy Moore, The Park Hotel held secrets far removed from its public image. Whispered rumors suggest that hidden beneath the polished façade were rituals, symbols, and practices that had nothing to do with hospitality — and everything to do with invoking darker forces. From tales of satanic ceremonies to suggestions of sacrificial acts, the stories surrounding the hotel reach far beyond simple ghost sightings.In this episode of The Grave Talks, we peel back the hotel's historical layers and explore the unsettling claims tied to its past. What energies were awakened within those walls? Who — or what — still lingers in the shadows? And how did a seaside escape become associated with one of Yorkshire's most disturbing paranormal legends?#theparkhotel #yorkshirehauntings #thegravetalks #paranormalhistory #haunteduk #ghoststories #satanicrituals #darkhistory #andyMoore #ukparanormal #supernaturalstories #historicmysteryLove real ghost stories? Want even more?Become a supporter and unlock exclusive extras, ad-free episodes, and advanced access:

Trener Robotics is solving a fundamental problem in industrial automation: the 5 million robotic arms deployed globally operate without intelligence, relying on 60-year-old procedural programming methods. With $38 Million in total funding—including a just-closed $32 Million Series A—the company compressed an 18-month journey from pre-seed to Series A by focusing ruthlessly on CNC machine tending. In this episode of Category Visionaries, I sat down with Asad Tirmizi, Founder of Trener Robotics, to unpack how 14 years of research in robotics and AI converged with market timing to create what judges recognized as this year's biggest innovation in machining—despite the founding team having zero machining expertise. Topics Discussed: Why Trener Robotics chose CNC machine tending over higher-visibility applications like airplane cleaning The capital efficiency trade-offs between sales cycle length, development complexity, and runway Partnering with three of the five largest robot OEMs controlling 4.3 million of 5 million deployed units Expanding to six countries (Norway, Denmark, Sweden, Portugal, Spain, US) through integrator networks Converting technical curiosity into closed deals in a risk-averse industry with 60-year-old workflows Building training materials in Portuguese for markets the founding team has never visited GTM Lessons For B2B Founders: Sales cycle length determines survival, not TAM size: Trener Robotics rejected compelling applications with massive TAM like airplane cleaning because sales cycles would burn through runway before reaching scale. Asad was explicit: "If your sales cycle is too long, your funding is too less and your development time is too much, that's it, you're out of business." They chose CNC machine tending specifically because manufacturers already budget for robots, understand ROI calculations, and have existing vendor relationships. Calculate your actual time-to-close from first meeting to signed contract, multiply by customer acquisition cost, and build your runway model around that reality—not the TAM slide in your deck. Niche dominance beats horizontal expansion every time: Despite having technology capable of 100+ applications, Trener Robotics committed to machine tending exclusively. Asad's framework: "Making 100 skills is easy. Distributing 100 skills, maintaining 100 skills, marketing hundred skills—that's where most startups break when scaling, not when incubating." The constraint forced them to become the definitive solution for one workflow, enabling repeatable sales motions and concentrated marketing spend. Most founders intellectually agree with focus but fail operationally—they take revenue from adjacent use cases "just this once." Don't. Pick your beachhead, win it completely, then use that cash cow to fund expansion. Industry awards are underutilized credibility hacks: Trener Robotics won the Machine Tool Innovation Award—the machining industry's most prestigious recognition—despite being roboticists with no machining background. This wasn't luck. They studied what innovations historically won, trained their models on data that would produce award-worthy results, and positioned the submission around industry pain points. The award opened OEM partnership conversations that would have taken years otherwise. Identify the 2-3 awards that matter in your category, reverse-engineer what wins, and build your product roadmap accordingly. Third-party validation converts skeptical enterprise buyers faster than any sales deck. Channel partner economics need structural win-win design: Trener Robotics secured partnerships with three of the five largest robot OEMs (controlling 86% of deployed units globally) by solving a specific problem: OEMs sell hardware but lose recurring revenue to system integrators who program robots. Trener Robotics' AI models let OEMs capture software subscription revenue while reducing integrator programming costs. Asad acknowledged they're still learning: "I would not by any stretch of imagination say we have proven how good we are in managing channel partners. It's a journey we are on." But the structural economics work because both sides make more money. When designing channel programs, don't just offer margin points—restructure the value chain so partners access new revenue pools they couldn't capture before. Interest signals are worthless without conversion timeline mapping: Asad's painful admission: "Interest does not mean sales. Pilots do not mean sales. Even letter of interest or contracts to test your equipment does not mean sales." As a technical founder, he initially conflated technical validation with buying intent. The fix: obsessively measure time between interest signal and closed deal, then segment by customer type, deal size, and decision-maker level. Only after mapping this could they accurately forecast and avoid the "too much time in the gray area of interest turning to sales" trap. Build a conversion funnel that tracks days-in-stage, not just stage progression percentages. // 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

Brian Whorley, Founder and CEO of Paytient, is rebuilding healthcare's broken payment infrastructure. Paytient enables employers and insurers to front healthcare costs for members who repay over time, interest-free. The company now serves 6,000 employers and powers payment solutions for nearly half of America's 50 million Medicare seniors. In this episode of BUILDERS, Brian reveals his counterintuitive GTM pivot from employers to insurers, why he testified before Congress on healthcare affordability, and how to build in highly regulated markets without fighting the system. Topics Discussed: Why healthcare lacks functional buyer-seller dynamics and transparent pricing The World War II tax quirk that prevents employers from giving healthcare dollars directly to employees Cash market case studies: Why LASIK prices decreased in real terms since 1998 while maintaining quality improvements Paytient's unexpected discovery that insurers were better strategic partners than employers Congressional testimony before the House Committee of Oversight and Government Reform on December 10th The company's evolution from founder-led employer sales to insurance-first distribution strategy Launching self-serve for sub-200 employee companies while closing Fortune 100 accounts How Medicare regulations requiring prescription payment flexibility created a 50-million-person market GTM Lessons For B2B Founders: Test enterprise distribution earlier than your assumptions suggest: Brian assumed Paytient needed a million users before insurers would engage. Instead, one of the nation's largest insurers partnered early because they recognized out-of-pocket costs as a critical experience gap they couldn't solve internally. The insurer's product team understood the problem but lacked control over member finances. When building in complex ecosystems, large strategic partners may engage earlier than expected if you solve a problem outside their core capabilities. Prioritize partners with longer planning horizons: Brian discovered insurers planning 2027-2029 health plans in early 2025, while employers focused on last month's challenges. This planning horizon difference fundamentally changed Paytient's GTM strategy. Insurers became the majority of their business because they could "invest and reshape for the long term" as part of broader strategy. When choosing between customer segments, prioritize buyers who think strategically over those managing tactical, short-term needs—they'll invest in solutions before acute pain points emerge. Regulatory tailwinds can create massive distribution overnight: A law passed four years after Paytient launched required all Medicare insurers to offer exactly what Paytient provides—prescription cost flexibility with insurer-fronted payments. This regulation instantly created a 50-million-person addressable market. Brian now powers this for "almost half the country." When building in regulated industries, track pending legislation that could mandate your solution category, creating instant distribution through compliance requirements. Build different GTM engines for concentrated vs. fragmented markets: Healthcare is "a very concentrated industry" at the top 40 insurers, where Paytient focuses enterprise efforts. For the fragmented small business market (under 200 employees), they launched a self-serve platform at patient.com this month, immediately gaining traction with venture-backed employers seeking simple subscriptions. The dual-motion approach—high-touch for concentrated markets, self-serve for long-tail—maximizes coverage without burning capital on inefficient sales motions. In trust-based sales, delivery quality drives expansion velocity: When Paytient launches with a Fortune 100, "tens of thousands of people have access to patient now." The benefits stack is "sacred and sacrosanct"—a trust-based, relationship-driven sale. Brian emphasizes the product must work "exactly how you said, even better" because performance creates referrals through benefit brokers and consultants. In high-stakes enterprise deployments, your product quality directly determines sales velocity through partner and customer networks. Navigate regulatory constraints as creative boundaries, not barriers: Brian's core advice for healthcare founders: "You have to work with the system as it is." Many founders approach healthcare "as antagonist" with solutions "too foreign or too different" that threaten the status quo. Instead, innovate within existing regulatory and operational frameworks. There are "plenty of space" and "data requirements for how healthcare can work today" to build billion-dollar businesses while respecting industry structure. Fighting the system guarantees slow adoption; working within it enables scale. // 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

Qualytics is redefining enterprise data quality by positioning it as a collaborative business function rather than an isolated data engineering problem. Founded at the start of the pandemic by Gorkem Sevinc - a former CTO and CDO who spent years managing reactive data quality firefights - Qualytics emerged from a clear practitioner pain point: writing endless custom rules to catch data issues after they'd already broken dashboards and KPIs. The company raised pre-seed and seed rounds while building with beta customers, then closed a Series A as repeatability patterns emerged in their POC process. Now, as enterprises scramble to operationalize AI initiatives, Qualytics is experiencing explosive inbound demand from organizations realizing their data foundations aren't ready for democratized data access. Topics Discussed The practitioner insight that sparked Qualytics: reactive rule-writing doesn't scale Leveraging existing CTO/CDO networks and PE portfolio connections for beta customers The evolution from free POCs to paid POCs as a mutual commitment mechanism Identifying repeatability through week-by-week POC conversion patterns Building practitioner credibility into the sales motion while hiring for enterprise sales grit The decision to hire sales and marketing leadership simultaneously post-Series A Tracking in-product engagement metrics (DQ operations frequency, anomaly detection, rule editing) as churn prevention Positioning data quality as vertical-specific business problems (premium leakage, regulatory compliance) The timing advantage: AI adoption forcing enterprises to treat data governance as mandatory infrastructure GTM Lessons For B2B Founders Talk to 100 prospects before writing code—even with deep domain expertise: After burning 18 months building a radiology second opinion product that patients didn't want (they didn't even know radiologists were doctors), Gorkem adopted a hard rule: validate with 100 conversations before building. His advantage as a former CTO who lived the data quality problem created false confidence. Practitioners often assume their pain is universal, but buyer awareness and willingness to pay are separate questions. Start with NSF I-Corps-style problem validation: show rough sketches, probe what happened when they hit the pain point, understand how it hurt them financially or operationally. Repeatability appears in micro-conversions during trials, not just closed-won rates: Gorkem didn't declare product-market fit when deals closed—he declared it when he could predict POC behavior by week. "Week two, I'm expecting this. Week three, I'm expecting this." That predictability enabled ROI calculators and internal champion enablement materials. For technical founders, this means instrumenting your trial or POC to track leading indicators: specific features activated, data volumes processed, number of team members engaged, frequency of logins. When those patterns stabilize across prospects, you have a repeatable motion. Use paid POCs as a procurement front-loading mechanism, not a revenue play: Qualytics charges nominal amounts for some POCs—not for the revenue, but to get the MSA signed and force both parties through legal/security review upfront. This eliminates the pattern where free POCs succeed technically but die in procurement. Large enterprises often refuse to pay for POCs, which Gorkem accepts—but only if they commit equivalent effort (executive time, cross-functional teams). The paid POC is a qualification tool: if they won't commit anything, they're not a real opportunity. Hire sales and marketing leadership in parallel and hold them to unified GTM metrics: Gorkem regrets hiring early sales reps before leadership and delaying marketing investment. Post-Series A, he hired both leaders simultaneously and holds them jointly accountable to pipeline generation and velocity—not siloed MQL counts or quota attainment. This structural decision forces collaboration on messaging, ICP definition, and campaign strategy from day one. For technical founders who "figured out" founder-led sales, resist the urge to replicate your motion with more SDRs. Bring in strategic leadership that can build a scalable system. Instrument product engagement as your earliest churn signal—then intervene immediately: Beyond quarterly NPS and executive QBRs, Gorkem tracks granular product usage: how many data quality operations users run, how many anomalies they discover, how actively they're editing rules. When engagement drops, he doesn't wait—he jumps into the customer's existing weekly meetings to diagnose and course-correct. For B2B founders building complex products with long time-to-value, passive health scores aren't enough. You need active usage telemetry and a low-latency intervention process. Translate technical capabilities into vertical-specific business outcomes: Gorkem doesn't pitch "data quality for data engineers." He talks about premium leakage with insurance companies and OCC/SEC data controls with banks. This reframing works because buyers recognize their problem, not a vendor category. The shift requires research: understand each vertical's regulatory environment, operational pain points, and the business metrics executives care about. When you walk in speaking their language about their P&L impact, you're not another vendor—you're someone who gets it. Time your market entry to when "nice-to-have" becomes "must-have": When Qualytics launched, some enterprises called data quality a "nice-to-have." AI adoption changed that calculus overnight. Organizations planning to let 20,000 employees interrogate data through AI interfaces suddenly realized they need robust data governance, quality controls, and cataloging first. Gorkem's timing wasn't luck—he built during the "nice-to-have" phase so he'd be ready when AI budgets made it mandatory. Technical founders should identify the external forcing function (regulation, technology shift, economic change) that will transform their solution from vitamin to painkiller. // 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

On this show… we're taking a deep dive into The Four Agreements by Don Miguel Ruiz and exploring how the quiet agreements you've made with yourself might be shaping your entire life. Have you ever reacted to something and later thought, “Why did that hit me so hard?” Or found yourself apologizing for something that wasn't really yours to carry? Or maybe you've replayed a conversation in your mind for hours, dissecting tone, word choice, facial expressions, wondering what you did wrong. Sometimes it feels like we're walking through life carrying invisible contracts. Rules we never consciously signed. Expectations we didn't knowingly agree to. Promises we made somewhere along the way to be smaller, quieter, more agreeable… or maybe tougher, less emotional, more perfect. And the wild part? Most of these agreements weren't even chosen by us. They were absorbed. Picked up in childhood. Handed down in classrooms. Reinforced in relationships. Whispered in moments when we were too young to question them. The Four Agreements sounds simple. Almost too simple. But simplicity has a way of cutting through noise. It has a way of revealing where we've complicated our lives by trying to manage everyone else's thoughts, reactions, and expectations. Today, I want us to gently test the agreements we're living by. The spoken ones. The unspoken ones. The ones that keep us over-apologizing, overthinking, over-functioning. Because here's the truth: you are responsible for your thinking. But you are not responsible for someone else's. CHALLENGE: When you feel the urge to take something personally, make an assumption, or blame yourself automatically, pause and ask, “Is this truly mine to carry?” Replace just one old belief with something kinder and more accurate. You don't have to rewrite your entire story overnight. Just loosen one thread. I Know YOU Can Do It!  

This is a Grave Talks CLASSIC EPISODE!In the 1800s, The Park Hotel in Yorkshire stood as a symbol of elegance — a seaside retreat for mill workers seeking rest and entertainment, and a favored stop for performers traveling through the region. But behind its charm and glamour, a darker story was quietly unfolding.According to investigator Andy Moore, The Park Hotel held secrets far removed from its public image. Whispered rumors suggest that hidden beneath the polished façade were rituals, symbols, and practices that had nothing to do with hospitality — and everything to do with invoking darker forces. From tales of satanic ceremonies to suggestions of sacrificial acts, the stories surrounding the hotel reach far beyond simple ghost sightings.In this episode of The Grave Talks, we peel back the hotel's historical layers and explore the unsettling claims tied to its past. What energies were awakened within those walls? Who — or what — still lingers in the shadows? And how did a seaside escape become associated with one of Yorkshire's most disturbing paranormal legends?#theparkhotel #yorkshirehauntings #thegravetalks #paranormalhistory #haunteduk #ghoststories #satanicrituals #darkhistory #andyMoore #ukparanormal #supernaturalstories #historicmysteryLove real ghost stories? Want even more?Become a supporter and unlock exclusive extras, ad-free episodes, and advanced access:

Autonomize AI is transforming healthcare infrastructure by eliminating administrative waste and reimagining how health enterprises operate. Covering 150 million of the 330 million lives in the United States and powering three of the five largest health enterprises, Autonomize AI has found traction by solving healthcare's hardest problems first. In this episode of BUILDERS, we sat down with Ganesh Padmanabhan, Founder & CEO of Autonomize AI, to explore how he built an AI platform from the ground up for healthcare—not by retrofitting existing technology, but by immersing himself in the industry's unique challenges and building solutions that address the fundamental inefficiencies plaguing the system. Topics Discussed: The origin story of launching during COVID with conviction around unstructured data Landing the first enterprise customer with a PowerPoint and prototype before writing production code The evolution from clinical trial patient matching to powering major health enterprises Why solving the hardest problems first created faster traction than targeting easy wins Building credibility as an outsider by leveraging past successes and being honest about failures The distinction between building AI for healthcare versus building AI from within healthcare Scaling from a $10,000 pilot to multi-million dollar ARR with deep customer immersion Why healthcare is fundamentally a trust equation, not a technology problem The future vision of an AI-native health enterprise operating system GTM Lessons For B2B Founders: Don't write code until you have a signed deal: Ganesh didn't write production code until securing his first enterprise customer. He used a compelling pitch deck and an expensive prototype stitched together from cloud solutions to demonstrate feasibility. Once the deal was signed at $150,000 annually, they built the sustainable version while delivering value with the prototype. This approach validated real demand before significant investment. Solve the hardest problem, not the easiest one: Counterintuitively, Autonomize AI found faster traction by tackling the most difficult challenges in healthcare. Ganesh explains, "The simplest way to actually get traction, solve the hardest problem that's out there. If you do that and you can actually solve it...if the problem is big enough for them to move, they will." Hard problems often have fewer competitors and more desperate buyers. Wait for pattern recognition before scaling: Ganesh knew he had a business when the second and third customers requested exactly what the first customer bought. He waited for this repeatable pattern before raising a seed round, ensuring he wasn't just solving one customer's unique problem but addressing a genuine market need. Immerse deeply in one customer before broad expansion: Autonomize AI spent 12 months becoming better experts on their first major enterprise customer's systems than the customer's own internal teams. This deep penetration transformed a $10,000 pilot into millions in ARR and provided invaluable learning that shaped their entire platform approach. The investment in one relationship paid exponential dividends. Build from the industry, not for the industry: Ganesh's advice is clear: "Don't build AI and bring it into healthcare. Come into healthcare and build the AI." Most companies fail by retrofitting technology into healthcare's nuanced environment. Success comes from immersing yourself in the specific industry, understanding its unique constraints and trust requirements, then building solutions from that foundation. Leverage past credibility through specific storytelling: As an industry outsider, Ganesh built trust by sharing concrete past successes: growing Dell's convergent infrastructure business from zero to $1.3 billion in five years, working with major healthcare clients in previous roles. He also shared failures openly, creating authentic credibility. He notes, "People learn more from their successes than from their failures...you learn what to do then what not to do." // 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

Identity fraud spiked 148% in 2025 as AI democratized identity fabrication. Financial institutions now face a fundamental question: Are you dealing with a real human? Heka Global is addressing this with web intelligence—analyzing digital footprints like connected applications rather than traditional signals. In this episode of BUILDERS, I sat down with Idan Bar Dov, Co-Founder & CEO of Heka Global, to explore how his company created a fourth layer in the anti-fraud stack and why legacy identity verification systems are becoming liabilities rather than assets. Topics Discussed:  The emergence of "fraud as a service" and why consumer-facing attacks replaced traditional enterprise breaches  How web intelligence works: validating identity through connected applications and digital footprints  The anti-fraud tech stack: credit bureaus, biometrics, transaction analytics, and web intelligence as distinct layers  Why heads of fraud expand budgets rather than replace vendors, and what causes solutions to get kicked out  The partnership sales model: navigating vendor management complexity and red tape in financial institutions  Why 10-person dinners and fraud simulations outperform traditional enterprise marketing  How Barclays and Cornerback backing solved the chicken-and-egg problem for a data product  Why specific fraud prevention messaging (account takeover, synthetic identities) beat investor credibility GTM Lessons For B2B Founders: Target ICP based on liability exposure, not just industry fit: Heka narrowed beyond "financial institutions" to lenders who bear immediate losses from fraud—companies like LendingPoint, Avant, and Upstart. These buyers feel the pain acutely versus institutions with reimbursement terms who can deflect liability. Idan's insight: "We need the client to feel the pain just as much as we see it. That means we want them to see the liability." Map your ICP not just by vertical or size, but by who internalizes the economic impact of the problem you solve. Frame your product as a new stack layer, not a competitive replacement: Heka positioned web intelligence as the fourth distinct layer after credit bureaus, biometrics, and transaction analytics. This became their second pitch deck slide, showing logos of each category. The result: buyers stopped comparing Heka to existing vendors and started evaluating complementary value. When entering mature markets, resist the urge to claim you're "better than X"—instead, define where you fit in the existing architecture and why that layer didn't exist before. Abandon spray-and-pray for sub-1,000 TAM markets: Heka tested Lemlist flows with targeted LLM personalization and saw zero pipeline from it. Idan's take: "When you're selling to maybe a thousand financial institutions, that's it. You can be super specific when you target them." For enterprise plays with small addressable markets, allocate zero budget to automated outbound. Focus entirely on warm introductions, relationship nurturing, and becoming known to every relevant buyer through content and community. Leverage investor networks to break data product cold-starts: Data products face a critical barrier—you need customer data to prove value, but need proven value to get customers. Heka solved this by bringing on Barclays and Cornerback as investors who vouched for the team's capability to "do magic and create a new layer." Their backing convinced risk-averse financial institutions to pilot. If building a product requiring customer data for training or validation, prioritize strategic investors who can credibly de-risk early adoption for target buyers. Build trust through teaching, not pitching: Heka hosts dinners and fraud incident simulations with ~10 heads of fraud per session. Critical detail: they never pitch Heka in these forums. Idan explained the approach focuses on "building a community around Heka and how people engage with your product and you being a thought leader while listening." In high-trust categories, educational forums where you facilitate peer learning without selling create stronger pipeline than direct pitching. Structure partnerships with active enablement and incentive alignment: Idan's key lesson: "Partnerships are not synonymous to distribution channels." Heka requires partner sales teams to join early customer conversations to learn the pitch, provides detailed API and output training, and ensures partners get extra compensation for selling non-core products. Without this, partners lack motivation to prioritize your solution. Structure partnerships as true collaborations requiring ongoing enablement investment, not passive referral channels. A/B test credibility signals versus technical specificity: Idan assumed messaging around Barclays backing would crush, while specific fraud prevention content (account takeover, synthetic identity detection) was an afterthought. The data showed 10x better response to technical specificity. The lesson: sophisticated buyers in technical categories respond to precise problem-solving over brand credibility. Test whether your audience values "who backs us" or "exactly what we do" before defaulting to investor logos and validation. //  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

Portnox is an enterprise access control platform that eliminates passwords and enforces zero trust security. The company was bootstrapped for over a decade, plateauing at a few million in ARR before investors brought in Denny LeCompte as CEO four years ago. Since then, Portnox has grown 8x. But this episode isn't about that growth story. Denny, a former cognitive scientist and professor who taught psychometrics, uses his scientific background to systematically dismantle Net Promoter Score—explaining why it's methodologically flawed, how it misleads organizations, and which metrics actually correlate with business performance. This is a contrarian take grounded in measurement science, not marketing opinion. Topics Discussed: The fundamental psychometric flaws in NPS: why single-item questionnaires are unreliable and why throwing out 7s and 8s violates basic statistical principles How NPS scores fluctuate based on survey UI presentation independent of actual customer sentiment Why NPS creates incentive structures that encourage gaming rather than improving customer outcomes The case for gross revenue retention and net revenue retention as the only ungameable metrics that matter How measuring human behavior changes that behavior (the Heisenberg principle applied to business metrics) Why investors care about retention rates above 90% but don't ask about NPS scores GTM Lessons For B2B Founders: Single-item questionnaires violate measurement principles: Denny's background in psychometrics immediately flagged NPS as unreliable. One-item measures lack the redundancy needed for reliability, and the methodology of throwing out middle responses (7s and 8s) then subtracting detractors from promoters is statistically nonsensical. At a previous company with thousands of data points, he observed NPS scores drop and rise based solely on how the survey rendered on the page—no business changes, just UI differences. When presentation affects your metric independent of the underlying construct, your instrument is broken. Founders with technical backgrounds should trust their instincts when measurement methodology feels scientifically unsound. Compensation drives behavior more than metric accuracy: Portnox structures customer success compensation as 50% gross revenue retention and 50% net revenue retention. These are determined by finance and can't be manipulated. Denny had to rein in his CS team when they became overly focused on time-to-value because any number you give a team becomes their obsession. With NPS, teams game survey timing, cherry-pick recipients, and optimize for score rather than outcome. This is the Heisenberg principle applied to business: measuring changes the behavior. Choose metrics where gaming the number aligns with improving actual business outcomes. Investors evaluate retention rates, not satisfaction surveys: When Denny presents gross retention above 90%, investors don't ask about NPS. Renewal behavior reveals actual satisfaction—customers voting with budget rather than survey responses. The test for any metric: "What are we doing differently if this number is up versus down?" If it doesn't drive distinct actions or reveal information not already visible in financials, eliminate it. NPS often becomes a number that exists because "we've always measured it," inherited from previous leadership without questioning its utility. Question inherited practices ruthlessly: NPS gained adoption through Harvard Business Review credibility in 2003 and consulting firms building practices around it. The promise of "one number you need" appeals to executives wanting simple solutions. But herd behavior—"everyone else measures it"—perpetuates bad methodology. Denny's advice to founders stuck with NPS: give your team something else to focus on (gross retention is straightforward: don't let customers churn), then stop doing it. Sometimes you need to point to external validation to break internal momentum. The question isn't whether NPS correlates somewhat with growth—it's whether better alternatives exist that can't be gamed. // 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/53yCHlPLSMFimtv0riPyM

Woody Klemetson scaled sales from 100 people at Divi to 350 at Bill.com post-acquisition, then walked away to build something harder: infrastructure for hybrid AI-human revenue teams. At AskElephant, he's tackling the problem that every revenue leader faces but few can articulate—how to actually implement AI in revenue operations when your systems weren't built for it. With zero marketing spend, AskElephant hit 400% growth through pure referral motion and converts 85% of pilots to production (versus single digits industry-wide). Woody breaks down why most "AI-ready" companies aren't, how to structure pilots that actually ship, and what it takes to hire sellers who orchestrate agents instead of relying on armies of support staff. Topics Discussed: Post-acquisition culture collision: the cost of moving too fast versus too slow Why "AI readiness" is usually one person at a company, not the organization  The 27-agent CRM system that delivers 5% forecast accuracy without human input  Revenue outcome systems as category evolution: solving for predictability across disconnected tools  Pilot-first GTM that converts at 85% by starting with one-minute-per-day wins  Partner-led distribution through consultants evolving from slideware to implementation  Hiring ops-minded sellers who code: over half of non-engineers using Cursor daily  The PLG expansion coming in 2025 and why traditional demand gen is getting tested alongside door-to-door GTM Lessons For B2B Founders: Culture integration requires explicit deceleration early: Woody's team assumed Bill.com wanted their aggressive startup velocity immediately post-acquisition. They didn't slow down to map cultural differences, causing "whiplash" across 350 people. The specific mistake: not creating space to understand Bill's processes before challenging them. Even when acquired for your approach, the first 90 days should be listening and mapping, not executing. Only after understanding their system can you effectively challenge and merge cultures. This applies whether you're acquiring or being acquired—the cultural work is non-negotiable and front-loaded. Diagnose AI readiness by system documentation, not enthusiasm: Most companies think they're AI-ready because leadership wants AI. Reality check: if your teams haven't documented their systems and processes, AI has nothing to learn from. AskElephant starts some customers with basic dictation—not because it's revolutionary, but because it's the prerequisite to anything meaningful. The diagnostic question: "Walk us through your current customer journey." If the answer is "we have sales stages," you're not ready for automation. You need documented systems before AI can execute them. Start by having AI observe and document before it acts. Build agents incrementally to compound context: AskElephant runs 27 different CRM agents that collectively deliver 5% forecast accuracy. This wasn't built in one sprint—it took 40 hours of training and context-building. Each agent handles a specific job: contact creation, data enrichment, ICP scoring, churn monitoring, stage updates. The misconception founders have: AI should work perfectly from the first prompt. The reality: you build agents brick by brick, each one learning from the previous context layer. This is why their forecasting works—because 27 agents watching different signals together create accuracy that one "smart" agent can't. Pilot conversion at scale requires deliberately small scope: Single-digit pilot-to-production rates happen because teams scope too big. AskElephant's 85% conversion comes from "dream big, implement small." First pilot: automated CRM notes. Then: notes humans wish they'd written. Then: automated field updates. Each step saves minutes, builds trust, proves value. Woody's framework: if you're not saving one minute per person per day in your first pilot, you've scoped wrong. The goal isn't to wow with ambition—it's to ship something that works perfectly, then expand from proven trust. Their customers average 27 hours saved per week per person, but none started there. Revenue outcome systems emerge from tool sprawl failure: Every revenue leader uses 15-20 disconnected tools trying to make revenue predictable. The category insight isn't "operating systems"—it's that companies care about outcomes, not operations. AskElephant's positioning: we focus on the outcome (predictable revenue), not just the operating infrastructure. This distinction matters because it shifts the conversation from technical plumbing to business results. When creating categories, find the frame that makes the buyer's problem visceral and your solution inevitable, even if you're solving similar problems as others in the space. Partner-led GTM turns consultants into distribution: AskElephant's entire growth came through partners: Salesforce/HubSpot consultants becoming AI strategists, sales coaches extending from training to implementation. The unlock: these partners needed a way to deliver lasting value beyond slideware. Previously, a coach would train your team and leave. Now they implement AI systems that hold teams accountable to the training, creating longer engagements and better outcomes. For founders: identify services providers whose business model gets dramatically better by incorporating your product. They become your sales force because you make them more valuable to their clients. Hire for orchestration capability, not pure sales skill: Over half of AskElephant's non-engineering team uses Cursor daily. Woody hires "ops-minded" and "tech-minded" sellers who can manage AI agents alongside human work. The old model: silver-tongued seller + solutions engineer + 27 support people. The new model: one seller orchestrating 27 AI agents. These reps don't build lists, don't create SOWs, don't write product scopes, don't need SEs for demos. But they still need human connection skills—listening, curiosity, presence. The hiring filter: can this person think in systems and implement technical solutions while maintaining high-touch relationships? If they can't code enough to orchestrate agents, they can't scale in this environment. // 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

Ivan Cossu is Co-Founder and CEO of deskbird, a flexible workplace management platform that's scaled past $10 million ARR. Founded in April 2020 during COVID's most uncertain period, deskbird survived a near-death pivot just months in and scaled across 10 international markets within six months—an unconventional path that challenged conventional wisdom about market domination strategies. Ivan shares the tactical decisions behind their international expansion, the shift from founder-led to scalable sales, and why they're deliberately targeting an underfunded VC category. Topics Discussed: The critical pivot from an Airbnb for co-working spaces to workplace management software in July 2020, months before running out of capital The counterintuitive decision to scale internationally within six months rather than dominating a single market first Balancing consumer-grade UX with enterprise-level customization in a category where competitors felt like "database queries" The mechanics of transitioning from pure inbound to incorporating outbound without breaking what's working US market expansion from Europe with higher close rates than home markets—and what that signaled about timing Why traditional email outbound is dead in the AI era and what actually works for breaking through GTM Lessons For B2B Founders: Scale your proven funnel globally before you perfect it locally: When deskbird saw strong early traction, they launched landing pages across UK and US markets within months to test demand signals. Ivan's contrarian take: "If you have a good funnel that's working, be bold enough to scale it globally" rather than spending years dominating Germany first. The key qualifier—you need solid core product and conversion metrics, not just initial traction. They were "way too scared of going international because it always worked out way better than we thought," often seeing better metrics in new markets than home markets. Most founders over-index on local penetration when they should be testing international demand. Choose validation channels by cycle time, not potential scale: In the first 6-12 months, avoid any channel with an 18-month feedback loop, even if it's your eventual ICP. Ivan targeted paid search and lower mid-market specifically because "you get a good sample size quite fast." Fast feedback loops let you iterate positioning, messaging, and ICP assumptions weekly rather than annually. Once you have conviction from high-velocity channels, then layer in longer-cycle enterprise motions. This sequencing prevents burning 12+ months on the wrong strategy. Founder-led sales is a permanent muscle, not a phase to exit: At $10M+ ARR, Ivan still joins sales calls regularly, citing a top entrepreneur-investor's rule: "Sales always needs to remain a final topic." The evolution isn't binary—it's additive. First hires (around 9 months post-MVP) were generalist "hard workers" who could sell vision over process. Today's hires are more disciplined as repeatable plays emerged. But the founder never exits—they shift from doing all deals to strategic deals, competitive situations, and maintaining direct customer insight. Even Benioff at Salesforce's scale still jumps into deals. Outbound in the AI era requires anti-scale tactics: Ivan's blunt assessment: "I don't believe in emails and any kind of written communication, especially not in the age of AI—it's just inflated." What works: (1) Targeted account selection—not 1:1 but not 1:1000 either, find the sweet spot of focused ABM, (2) Physical mail and offline media, (3) Cold calling with proper infrastructure. The challenge isn't the tactic—it's "having all the BDRs and AEs knowing which accounts they have to call, seamlessly calling account after account." Most companies can't operationalize the calling machine. Best results come when marketing warms leads with intent data, then hands them to outbound teams—not pure cold outreach. Underfunded categories force better unit economics: Deskbird's space isn't flooded with VC dollars—Ivan mapped 50-60 European competitors but limited mega-rounds. His take: "There's a downside, it's harder to get VC money, but once you get it you don't have the problem that some spaces are overfunded and it's crazily driving up customer acquisition cost." Markets with excessive capital often have one winner and "very sad consolidation" for positions 2-4. Constrained capital forced deskbird to build profitably and focus on product differentiation (Airbnb-like UX meets enterprise customization) rather than outspending competitors. Close rates in new markets signal expansion timing better than absolute numbers: Deskbird closed US deals from Europe with European AEs in mismatched time zones—and saw the highest close rates of any market. Ivan's logic: "If we can close them from Europe with our European AEs working in different time zones who cannot deliver the same SLAs, and we then go to the US, it should get even better." Don't wait for perfect execution—if you're winning despite structural disadvantages, that's your signal to invest. They hired their first US-based team only after proving they could win remotely. // 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

WindBorne Systems is transforming global weather forecasting by deploying long-duration weather balloons that fly for weeks instead of hours. What began as a Stanford Student Space Initiative project has scaled to 100 balloons aloft simultaneously, targeting 500 by end of next year, with an end goal of 10,000 balloons monitoring Earth's atmosphere. In this episode of BUILDERS, I sat down with John Dean, Co-Founder and CEO of WindBorne Systems, to explore how the company secured its first government contract in under three years without lobbyists, achieved 4x annual manufacturing growth, and built Weather Mesh—an AI weather model that outperforms competitors from Google DeepMind. Topics Discussed: The technical evolution from Stanford project to operational constellation of altitude-controlled balloons Strategic decision to pursue government revenue before building B2B forecasting products Navigating Defense Innovation Unit and Air Force Lifecycle Management Center procurement as a founder Timeline from founding to first grants (within six months) and first data delivery contract (two and a half years) Current roughly 50/50 revenue split between civilian agencies (NOAA, international weather services) and Department of Defense Building Weather Mesh after Huawei's Pangu Weather validated end-to-end AI forecasting viability Transitioning from founder-led sales by promoting a Palantir hire from proposal writer to public sector growth leader The 30-year vision of millions of fingernail-sized atmospheric sensors creating a planetary nervous system GTM Lessons For B2B Founders: Study the bureaucracy's incentive structures before pitching product value: John spent years mapping how government procurement actually works rather than leading with product capabilities. The critical insight: in DoD sales, the warfighter (end user) doesn't control purchasing decisions. Success requires understanding each stakeholder's specific mandate and aligning your solution to their organizational incentives, not just operational needs. For civilian agencies like NOAA, the dynamics differ entirely. Founders entering govtech should invest 6-12 months learning procurement mechanics before expecting revenue. Use government contracts as non-dilutive scaling capital for hardware businesses: WindBorne secured SBIR grants within six months, then landed their first Air Force data delivery contract through Defense Innovation Unit at the two-and-a-half-year mark. John explicitly treated early grants as equivalent to venture funding but without equity dilution. For companies building physical infrastructure at scale (satellites, hardware networks, manufacturing operations), government contracts provide the runway to reach technical milestones that unlock larger B2B opportunities. This sequencing—government funding first, then B2B products built on that foundation—proves more capital-efficient than attempting to raise massive venture rounds upfront for unproven hardware. Integrate with legacy systems rather than attempting wholesale replacement: WindBorne doesn't aim to replace the 1,000 radiosondes launched daily worldwide—they're expanding coverage from the current 15% of Earth (where humans can launch traditional balloons) to 100%. The hardware is revolutionary (weeks of flight versus two hours), but the go-to-market integrates into existing weather agency workflows and feeds into established models like GFS and ECMWF. This approach accelerated adoption because agencies could add WindBorne data without overhauling their entire forecasting infrastructure. The displacement of radiosondes becomes economically inevitable long-term, but only after proving the system at scale. Move fast once adjacent technology validates your thesis: WindBorne wasn't investing in AI-based weather forecasting until Huawei's Pangu Weather paper demonstrated that end-to-end neural weather models could compete with physics-based simulations. Once that validation appeared, John's team moved immediately—adopting the open architecture and expanding it into Weather Mesh before the approach became widely adopted. The lesson isn't to wait for competitors, but to monitor adjacent technological developments and move decisively when validation emerges. They built a top-performing model by being early to a proven approach, not first to an unproven one. Hire for mid-level roles and promote based on demonstrated judgment: John hired Dana from Palantir as a proposal writer, not as a sales executive. He watched her demonstrate strong opinions that consistently proved correct, then promoted her to build and lead the entire public sector growth organization. This internal promotion model worked better than external executive hires because the person already understood WindBorne's technology, customers, and internal culture. For specialized domains like government sales, bringing in experienced operators at individual contributor levels and promoting them as they prove their judgment builds more effective organizations than hiring executives to parachute in. // 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

Collate is building a semantic intelligence platform that unifies fragmented metadata tooling across the modern data stack. With 12,000+ community members, 3,000+ open source deployments, and 400+ code contributors, the company has proven that open source can be a systematic GTM engine, not just a distribution tactic. In this episode of BUILDERS, I sat down with Suresh Srinivas, Co-Founder & CEO of Collate, to explore his journey from the Hadoop core team at Yahoo, through founding Hortonworks, to architecting data systems processing 4 trillion events daily at Uber—and why that experience led him to rebuild metadata infrastructure from scratch. Topics Discussed: Why platform builders at Yahoo and Hortonworks struggled to drive business value despite powerful technology The metadata fragmentation problem: how siloed tools lack unified vocabularies and end-to-end context Collate's contrarian decision to build Open Metadata from zero rather than spinning out Uber's internal tooling Engineering an open core GTM model that generates nearly 100% inbound sales from technical practitioners Scaling community contribution: moving from feedback loops to 400+ code contributors Hiring a CMO to translate technical value into business-leader messaging without losing practitioner trust The convergence thesis: structured data, knowledge graphs, and semantic layers as the foundation for reliable AI GTM Lessons For B2B Founders: Architect your open source for GTM leverage, not just distribution: Suresh built Open Metadata as a unified platform consolidating data discovery, observability, and governance—previously fragmented across multiple tools. This architectural decision created natural upgrade paths to Collate's managed offering. The lesson: open source architecture should solve a complete job-to-be-done that reveals commercial value through usage, not just demonstrate technical capability. 100+ daily practitioner conversations beats any user research: Collate maintains ongoing dialogue with their community across Snowflake, Databricks, and other integrations. Suresh called this "a product manager's dream"—immediate feedback on what breaks, what's missing, and what workflow improvements matter. For infrastructure startups, this beat rate of validated learning is nearly impossible to replicate through traditional customer development. High-velocity releases build credibility faster than pedigree: Starting from scratch without Yahoo or Uber's brand meant proving commitment through shipping cadence. Collate's strategy: demonstrate you'll be around and responsive before asking for production deployments. This matters more in open source than closed-source where sales cycles force commitment conversations earlier. Separate technical-buyer and business-buyer GTM motions explicitly: Collate's founding team spoke fluently to data engineers and architects who lived the metadata problem daily. Their CMO hire (after establishing product-market fit) brought expertise in articulating business impact—ROI on data initiatives, compliance risk reduction, AI readiness—without the founders faking business-speak. The timing matters: hire for the motion you're entering, not the one you're in. Play the long game with builder-culture companies: At Uber, internal tools were 2-3 years ahead of vendor solutions but became technical debt as teams moved to new problems. Suresh's advice: "Keep in touch with these larger companies. Your technology will improve and you will have better conversation with larger technical companies." The wedge is timing—catch them when maintenance burden outweighs building pride, typically 24-36 months post-launch. Design for all company scales from day one: Unlike Uber's internal metadata platform built for massive scale with corresponding complexity, Open Metadata works for small teams through enterprises. This wasn't just good design—it was GTM expansion strategy. Building only for scale locks you into enterprise-only sales. Building only for simplicity caps your ACV. The middle path requires architectural discipline upfront. // 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

Civ Robotics is automating construction layout—the process of translating blueprints into physical markers on job sites—using autonomous ground robots instead of traditional surveying crews. Founded by civil engineer Tom Yeshurun after he spent $2 million on a four-person surveying team for a single project, Civ has scaled from initial concept to deploying robots across the United States, Australia, Europe, and the Middle East, with 12 robots currently operating in Saudi Arabia alone. In this episode, Tom breaks down his tactical approach to product-market fit, why he pivoted from aerial drones to ground vehicles based on customer feedback, and how he's building sales teams by recruiting construction professionals rather than traditional sales reps. Topics Discussed: How Tom identified the construction layout automation opportunity while managing $120-500 million infrastructure projects The two-year pivot from aerial drones to ground robots after target customers cited safety concerns Market differences between Israel and the US: subcontracted surveying firms versus in-house EPC operations Converting tier-one contractors like Bechtel and Primoris through persistence and geographic proof points The product development framework: one request = document, two requests = build, three requests = should be done Transitioning from paid digital ads to SEO/AIO optimization with measurable improvements in inbound quality Using AI workflows to audit website metadata and align content with buyer personas instead of investor messaging Sales hiring strategy: grooming construction engineers into customer success and sales roles versus hiring pure sales talent International expansion through remote deployment and a LinkedIn-driven sale that generated 12 robots in Saudi Arabia Product roadmap from layout automation to machine guidance and full construction equipment autonomy GTM Lessons For B2B Founders: Interview customers in your actual target geography, not just accessible markets: Tom built his initial prototype after interviewing Israeli and European companies, but the US market operates fundamentally differently—EPCs like Bechtel and Primoris handle surveying in-house due to volume, while Israeli EPCs subcontract to surveying firms. This changed the buyer persona, sales motion, and value proposition entirely. When he finally interviewed US companies, the feedback was immediate and actionable. Don't optimize for interview convenience—validate where you plan to sell. Let technical decisions be customer-driven, not engineering-driven: Tom's team spent two years developing an aerial drone solution because it was technically more complex and exciting for engineers. Three early adopters said they liked the concept but feared the drone—if it was ground-based, they'd reconsider. Tom scrapped two years of development and rebuilt for ground vehicles. His takeaway: bring both options to target customers before committing development resources. Engineering preferences create technical risk; customer preferences create market risk. Use the "one-two-three rule" for product prioritization: Tom's framework eliminates guesswork in product roadmaps: one customer requests a feature, document it; two customers request it, begin development; three customers request it, it should already be shipped. This prevents building "cool features" that product managers or engineers want but customers don't need, and ensures development resources map directly to revenue opportunities. Deploy proof before the pitch to collapse enterprise sales cycles: When a major contractor asked if Civ's robot could handle Texas mud, Tom responded that they already had a robot deployed "literally a mile away" on an adjacent project. That proximity proof turned a Wednesday discovery call into a Monday deployment, followed by a one-month trial and conversion to a customer now running 15 robots. For hardware or complex B2B sales, having operational deployments near prospects eliminates the biggest objection: "will this actually work in our environment?" Position yourself as a peer, not a vendor: Tom doesn't introduce himself as CEO or founder in sales conversations—he leads with his background as a civil engineer and field engineer who managed the same types of projects his buyers manage. This reframes the conversation from vendor-buyer to peer-to-peer, making it easier to discuss pain points candidly. In technical industries, domain credibility matters more than sales technique. If you lack it personally, your customer-facing team must have it. Audit your website metadata as a conversion optimization lever: Tom discovered his road robot product page was showing solar farm videos in link previews because metadata wasn't optimized per product line. His team systematically reviewed every page's metadata, primary content, and video assets to ensure alignment with the specific buyer viewing that page. This granular optimization improved inbound quality measurably. Most B2B companies ignore metadata entirely—it's a high-leverage, low-effort fix. Hire from industry for sales, hire generalists for marketing: Tom's board challenged him to "duplicate himself" as the company's best seller. His answer: recruit former construction project managers and field engineers who already communicate effectively and understand buyer pain points, then train them on sales process. For marketing, the talent pool with construction automation experience is too small, so he hired a generalist. This isn't about industry knowledge being unimportant—it's about recognizing where domain expertise is essential (customer-facing) versus learnable (content creation). Create reciprocal value loops with influential customers: One customer produces professional-quality content about Civ's robots because showcasing innovation differentiates him with his own clients. Tom reciprocates by cutting the subscription price by 50%, explicitly framing it as "you're a great influencer and helping us spread the word." This relationship generated Civ's Saudi Arabia opportunity—12 robots sold—when the customer's LinkedIn post drew a comment from a prospect. Identify which customers benefit from being seen as early adopters, then structure commercial terms that reward amplification. // 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 Meta Description: Tom Yeshurun, Co-Founder & CEO at Civ Robotics, shares his framework for product-market fit, hiring construction pros into sales roles, and scaling robotics deployments internationally on BUILDERS.

A soft, feminine moment created just for you. Happy Valentines Day!!!

Maxima is building AI agents that automate enterprise accounting while maintaining the auditability and control standards finance teams require. In a recent episode of BUILDERS, we sat down with Yogi Goel, CEO and Co-Founder of Maxima, to explore his eight-year journey at Rubrik from Series C through IPO, and how those lessons shaped his approach to solving the 70-80% of finance time currently wasted on manual work. Topics Discussed: Why Rubrik's approach—entering stagnant markets with first-principles thinking—became Maxima's blueprint Securing $3K-$5K POC commitments from Figma mockups before writing code Why Scale AI and Rippling rejected a point solution and demanded 3-4 modules from day one The compound startup model: building multiple products simultaneously to meet buyer expectations How 17% of CFOs are adopting AI tools today (vs 51% in software development) Why finance teams view AI agents as "digital college freshmen" who need proof of work Hiring from YouTube Studios, Apple, and Robinhood instead of legacy finance software companies How NetSuite World conference booth sizes revealed the data integration infrastructure gap The $3K-$5K validation threshold that proved finance pain was urgent enough to pay pre-product GTM Lessons For B2B Founders: Demand generation unlocks engineering potential: Yogi learned from his Rubrik mentors: "focus on demand and if you have great engineers then they will solve the problems." Maxima built products in 2-3 months they didn't initially know were technically feasible—because customer demand pulled the engineering team forward. For founders with strong technical teams, customer demand should drive the roadmap, not engineering's comfort zone. Trust your engineers to solve hard problems when customers are waiting. $3K-$5K is the pre-product validation threshold: Before writing any code, Yogi secured POC commitments at this price point based solely on Figma mockups. This isn't about revenue—it's about proving urgency. Verbal interest means nothing. Small pilot commitments mean "we'll try it someday." But $3K-$5K pre-product means "this problem is urgent enough to pay before seeing a working solution." Use this threshold to separate real pain from polite interest. Sophisticated buyers will reject your narrow MVP: Scale AI and Rippling told Maxima explicitly: "If you will only build this one thing, we will not buy. You have to commit to building three, four modules." Conventional wisdom says start narrow, but enterprise buyers with complex workflows won't adopt point solutions that create new integration headaches. When sophisticated buyers articulate their real buying criteria, ignore the startup playbook. Yogi built a "compound startup" with 4-5 modules from day one because that's what the market demanded. Target acute pain over easy access: Early-stage companies (10-30 people) were easier to reach but finance wasn't urgent enough. At that scale, it's "build product, ship product"—finance operations aren't broken enough to warrant urgent attention. Companies at 500-1,000+ employees have finance teams drowning in manual work that prevents strategic contribution. Target where pain justifies urgent action and budget exists, not where calendar access is easiest. Hire intensity and first-principles thinking over domain knowledge: Maxima deliberately hired zero engineers from legacy finance software companies. Their frontend engineer came from YouTube Studios. Others came from Apple, Robinhood, Netflix—none with financial product experience. Yogi's three hiring criteria: "incredible intensity, huge confidence in themselves, and fast thinking mode." Domain expertise creates pattern-matching to old solutions. First-principles thinking creates breakthrough products. One team member didn't finish high school but is "one of the best out there." Make AI explainable or finance teams won't adopt: Finance teams adopted faster than expected because Maxima showed every calculation step. "If they can prove by looking at the Math, you know, 18 plus 88 plus 36 is X. And I can see the step of the work, they are willing to give it to them." This isn't about fancy UX—it's about auditor-grade proof of work. Finance professionals won't trust black box outputs. Build transparency into the product architecture, not as an afterthought. This explainability became Maxima's competitive moat. Conference booth sizes reveal infrastructure gaps: At NetSuite World, the largest booths weren't ERP vendors or payment processors—they were data integration companies. This single observation validated that enterprises are desperately solving data fragmentation problems. Companies manually download from Stripe, Snowflake, Salesforce weekly to build Excel pivots. Maxima invested in upstream integrations as core infrastructure from day one. Use industry conferences to validate where companies are spending money on workarounds—that's where infrastructure gaps exist. // 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

Welcome back!  I really enjoyed making this classic #ASMR doing your eyebrows!  I truly hope you enjoyed the rambles as well, all true stories, ha!  Many blessings and the sweetest of dreams!

Access all 430+ episodes of Sleep Whispers (including lots of Story Time, Trivia Time, & Whisperpedia episodes) by becoming a Silk+ Member (FREE for a limited time!). Try the podcast, Sleep With Me: https://www.sleepwithmepodcast.com/subscribe/ Become a Silk+ Member (FREE for a limited time!) and enjoy over 600 total episodes from these podcasts: Sleep Whispers (430+ episodes) Calm … Continue reading Trivia Time | 30 More Curious Questions & Answers (A202) | Whispered Bedtime Sleep Stories

In 2014, the Islamic terrorist organization Boko Haram kidnapped 276 girls from the small town of Chibok, Nigeria. One of the young women, Naomi Adamu, and her friends smuggled a Bible into captivity, and for seven years the Scriptures were a source of their strength to resist. Upon the hostages' release, Wall Street Journal reporters Drew Hinshaw and Joe Parkinson interviewed Naomi and many others for their book Bring Back Our Girls, and wrote a 2021 cover story for Christianity Today in which they shared the role that their faith played in their captivity. As Boko Haram continues to kidnap and displace innocent people in Nigeria and religious conflict abounds, this piece offers an account of the ways that God can be at work in the darkest places. READ THE PRINT VERSION: Whispered Prayers, Hidden Bibles, Secretly Scribbled Verses: Inside the Resilient Faith of the #BringBackOurGirls Hostages - Joe Parkinson and Drew Hinshaw Bring Back Our Girls - Joe Parkinson and Drew Hinshaw GO DEEPER WITH THE BULLETIN: Join the conversation at our Substack. Find us on YouTube. Rate and review the show in your podcast app of choice. ABOUT THE GUESTS: Drew Hinshaw is a senior reporter for The Wall Street Journal and the co-author of the books Bring Back Our Girls and Swap: A Secret History of the Cold War. He has been nominated six times for the Pulitzer Prize and has also written for The New York Times Magazine, Time, Al Jazeera, The Atlantic and Rolling Stone. ABOUT THE BULLETIN: The Bulletin is a twice-weekly politics and current events show from Christianity Today moderated by Clarissa Moll, with senior commentary from Russell Moore (Christianity Today's editor-at-large and columnist) and Mike Cosper (senior contributor). Each week, the show explores current events and breaking news and shares a Christian perspective on issues that are shaping our world. We also offer special one-on-one conversations with writers, artists, and thought leaders whose impact on the world brings important significance to a Christian worldview, like Bono, Sharon McMahon, Harrison Scott Key, Frank Bruni, and more. The Bulletin listeners get 25% off CT. Go to https://orderct.com/THEBULLETIN to learn more. “The Bulletin” is a production of Christianity Today Producer: Clarissa Moll Associate Producer: Alexa Burke Editing and Mix: Kevin Morris Graphic Design: Rick Szuecs Music: Dan Phelps Executive Producers: Erik Petrik and Mike Cosper Senior Producer: Matt Stevens Learn more about your ad choices. Visit podcastchoices.com/adchoices

It's a new year and a CHONKY urban legends episode is waiting for you. Featuring a long-time bathroom haunting, the cosplay to spouse pipeline, and how sometimes retail jobs are scarier than the monster under the bed! Content Warning: This episode contains conversations about or mentions of child endangerment, abusive relationships, kidnapping, and illness. Housekeeping- Books: Check out our previous book recommendations, guests' books, and more at spiritspodcast.com/books- Call to Action: Send in those urban legend emails as you head home for the holidays!- Submit Your Urban Legends Audio: Call us! 617-420-2344Sponsors- Bookshop.org, where you can now use the code we shared in the midroll to get 10% off your purchase! Find Us Online- Website & Transcripts: spiritspodcast.com- Patreon: patreon.com/spiritspodcast- Merch: spiritspodcast.com/merch- Instagram: instagram.com/spiritspodcast- Bluesky: bsky.app/profile/spiritspodcast.com- Twitter: twitter.com/spiritspodcast- Tumblr: spiritspodcast.tumblr.comCast & Crew- Co-Hosts: Julia Schifini and Amanda McLoughlin- Editor: Bren Frederick- Music: Brandon Grugle, based on "Danger Storm" by Kevin MacLeod- Artwork: Allyson Wakeman- Multitude: multitude.productionsAbout UsSpirits is a boozy podcast about mythology, legends, and folklore. Every episode, co-hosts Julia and Amanda mix a drink and discuss a new story or character from a wide range of places, eras, and cultures. Learn brand-new stories and enjoy retellings of your favorite myths, served over ice every week, on Spirits.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.