Podcasts about GTM

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan dives headfirst into the trust crisis disrupting hiring across tech and go-to-market roles. Drawing from conversations with both hiring managers and top-tier candidates, Avetis unpacks the growing disconnect: why talented people are being ghosted while keyword-stuffed, AI-generated resumes get through the door—and often, no one shows up.As the founder of HIRECLOUT, Avetis offers a blunt assessment of the current system: hiring isn't broken because of AI—it's been broken for years. AI simply exposed how fragile the trust and signal layers already were. In this candid solo episode, he outlines why resumes no longer reflect real value, how signal degradation is warping candidate pools, and what needs to change for hiring to scale with integrity.From the dangers of synthetic candidates to the myth of "clean" resumes, this episode is packed with pattern recognition strategies, hard truths for founders and recruiters, and a blueprint for using AI as a tool—not a replacement—for judgment. If you're building or hiring in tech, this is essential listening.TakeawaysThe hiring process is failing both qualified candidates and frustrated hiring managers.AI didn't break hiring—it revealed how broken trust and signal layers already were.Top talent is being filtered out by systems that prioritize keywords over capability.Many resumes that look impressive on paper are either exaggerated or AI-generated.Clean, keyword-rich resumes often come from average performers—not real builders.Bulk applications and synthetic candidates are crowding out authentic applicants.Trust—not automation—will be the next real hiring moat.Hiring systems that prioritize volume over intent end up scaling noise, not quality.Companies need to refocus AI to handle speed and prep, while humans manage judgment.Silence from recruiters often reflects broken systems, not a candidate's lack of value.Founders who can't distinguish real operators from fake ones aren't ready to scale.The solution lies in a hybrid model: real interviews, verified networks, and contextual judgment.Chapters00:00 Intro: Why this solo episode matters now00:53 The hiring paradox: Both sides feel broken01:47 It's not a talent issue—it's a signal and trust breakdown02:27 The candidate opt-out: when frustration becomes exit03:15 Why AI struggles to recognize real tech and GTM careers04:40 The hiring irony: real people get ghosted, fake ones get interviews06:13 When volume replaces intent: how systems reward the wrong behavior07:04 Resume inflation and red flags recruiters often miss08:30 The model that works: AI for speed, humans for judgment09:25 Scaling incompetence: the danger of removing humans too early10:05 Trust as a competitive advantage in hiring11:10 How HIRECLOUT filters for real vs fake candidates12:30 Final thoughts: the future of hiring is human-centricResources and Links:⁠⁠https://www.hireclout.com⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

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

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

Most revenue leaders chase numbers they can't actually control.The best ones build systems that compound.In this episode of Revenue Leaders, we break down why revenue is a lagging indicator — and how partnerships and ecosystems are becoming the most reliable way to drive predictable B2B growth.Our guest, Brian Williams, shares real-world lessons from building and scaling partner ecosystems, including what worked, what failed, and why most companies misunderstand partnerships completely.You'll learn:Why you can't control revenue — and what you can control insteadHow partner ecosystems drive pipeline, retention, and larger dealsWhy partnerships fail when treated like a short-term sales channelHow revenue leaders should think about 12–18 month growth strategiesHow founders, CROs, and sales leaders can build a partner-led GTM motionThis episode is for founders, CROs, revenue leaders, sales managers, and RevOps teams who want to stop chasing short-term wins and start building durable, scalable growth engines.If you sell complex or B2B deals, manage sales teams, or lead go-to-market strategy, this episode is for you.⭐ Unlock free resources (templates, frameworks & prompts):⁠https://coachpilot.beehiiv.com/⁠Join the community & access 157+ templates, frameworks and mega AI prompts used by top revenue teams.Watch Full Episode on YouTube:⁠⁠https://www.youtube.com/@revenueleaders⁠⁠Follow us:⁠⁠https://www.instagram.com/davidfastuca/⁠

Most B2B podcasts fail because they skip strategy and jump straight to recording. In this solo episode of Pipe Dream, host Jason Bradwell breaks down B2B Better's Podcast to Pipeline Framework, a six-step system designed to turn a podcast from a “nice content idea” into a revenue-generating GTM asset. Jason's core point is that marketing strategy matters more than microphones. The goal isn't to ship episodes, it's to create commercial momentum. That's why B2B Better positions itself as a podcast marketing agency, not just a production company: a podcast should drive pipeline, create revenue, and ultimately turn a profit. Anything else becomes a vanity project that dies after a handful of episodes. From there, he walks through the six phases: 1) Strategy development (the most skipped step). Instead of asking what gear to buy, brands should define what success looks like, who the audience is, and what messages matter. Jason runs strategy workshops with stakeholders across marketing, sales, product, and leadership to build a “show blueprint” that clarifies the what/why/who/how and prevents random feedback from derailing things later. 2) Funnel mapping. Most companies treat podcasts as top-of-funnel awareness only, but Jason argues podcasts can move buyers through awareness, consideration, evaluation, and conversion when you map content intentionally. He introduces B2B Better's distribution grid to align segments and content to different buyer awareness stages and distribution paths. 3) Pre-production. This is the setup work that makes recording smooth: scripting, guest booking and research, and establishing visual/audio treatments so the show feels consistent and intentional. 4) Creative treatment. Here Jason draws a key distinction: production is editing raw footage into a finished episode, while producing is editorial oversight and strategic control to ensure the episode hits the right messages. Many brands only buy production, but what they really need is a producer who can guide the conversation and keep the content aligned to the goal. 5) Integrated campaigns. Distribution and promotion shouldn't be “repurpose one episode into 100 assets.” Jason pushes back on that trend because it often creates redundant content that doesn't move the needle. Distribution has to match the objective: brand awareness might mean short clips plus paid spend; ABM might mean sales enablement and targeted account plays. 6) Reporting and optimisation. A show isn't static. Someone needs to review performance at the episode, channel, and show level with what's working, what isn't, and what market feedback is signaling and then feed that back into strategy (stay the course, pivot, or double down). If you're launching a B2B podcast or already have one that feels like it's going nowhere, Jason's framework is a practical way to treat podcasting like the GTM asset it should be, align every phase to commercial outcomes, and avoid the “six episodes then abandon it” trap. 00:00 - Introduction: From concept to commercial results 01:30 - Why B2B Better is a podcast marketing agency 03:00 - Phase 1: Strategy development and the show blueprint 06:00 - Phase 2: Funnel mapping and the distribution grid 09:00 - Phase 3: Pre-production essentials 11:00 - Phase 4: Creative treatment - producing vs production 14:00 - Phase 5: Integrated campaigns and smart distribution 17:00 - Phase 6: Reporting and optimisation 20:00 - How to get started with B2B Better Connect with Jason Bradwell on LinkedIn Check out Jason's several tools in building guest lists: HubSpot CRM Clay Apollo Explore B2B Better website and the Pipe Dream podcast 

Jacqueline Cheong is the Co-founder and CEO of Artie.Artie moves data across your systems in real-time, and we talk about why that's so important in the age of AI.It's a lot harder than you'd think, as less than 5% of real-time data streaming projects are successful.I talked to a dozen people to prepare for this conversation, including Jared Friedman who worked with Jacqueline during YC, her sales coach Ras, and numerous Artie employees like A-nee-rud, Ryan, Sarah, Shangbing and Jacqueline's co-founder Robin.We talk through how Robin built real-time data streaming at OpenDoor and Zendesk before they started Artie, and Jacqueline shares the sales playbook she learned going from hedge fund analyst to software CEO, including asking customers for their hardest problem and then solving it with the product.Artie just announced a $12 million Series A a few weeks before we published this episode. We talk about how they landed all of their early enterprise customers through cold outbound, how they structure and automate their prospecting with AI so they have no BDRs, and why they're seeing customers switch to Artie even after building their own multi-million dollar real-time streaming projects in-house.I also asked Jacqueline what it's like working with Standard Capital. They're a new fund started by a group of YC partners, and it was fascinating to hear about the things they've borrowed from YC when investing at the Series A stage.Try Numeral, the end-to-end platform for sales tax and compliance: ⁠https://www.numeral.com⁠Sign-up for Flex Elite with code TURNER, get $1,000: https://form.typeform.com/to/Rx9rTjFzTimestamps:(4:08) Artie: Real-time data streaming(5:13) Why moving data is so hard(9:14) Evolution of data warehouses(12:47) AI needs real-time data(18:44) Build vs buy in data streaming(22:51) How to build in a crowded market(26:26) Early focus on a specific hard problem(30:33) Acquiring enterprise customers from cold emails(32:51) Onboarding their first customer with no UI(35:46) Solving compliance and implementation(38:50) How to automate internal engineering, marketing, and ops(44:01) Building an AI-powered GTM pipeline and motion(53:00) Starting Artie to solve their own problem(59:25) Discovering YC through a friend(1:02:20) Everything Jacqueline learned about sales(1:06:29) How to improve your sales discovery calls(1:10:08) Inside Artie's $12m Series A(1:16:44) What its like working with Standard Capital(1:22:59) Jacqueline's favorite bookReferencedTry Artie: https://artie.comCareers at Artie: https://www.artie.com/careersClay: https://www.clay.comPodcast with Tommy @ Alloy: https://www.youtube.com/watch?v=e7i8Wxklu-YYCombinator: https://www.ycombinator.comStandard Capital: https://www.standardcap.comFounding Sales: https://www.foundingsales.comThe Score Takes Care of Itself: https://www.amazon.com/Score-Takes-Care-Itself-Philosophy/dp/1591843472Follow JacquelineTwitter: https://x.com/JacquelineSYC19LinkedIn: https://www.linkedin.com/in/jacqueline-cheongFollow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

In this episode, we're joined by Roeland Delrue, Co-founder of Aikido Security, the fast-growing application security platform that just became a unicorn in under 4 years.  Roeland shares what it really takes to scale a company at breakneck speed, from going 5× year-over-year, to balancing startups and enterprise in one GTM motion, to raising a Series B with a single goal: becoming “unignorable.” We unpack how Aikido uses product-led growth, brutal revenue focus, and buyer-first sales mentality to win in one of the most competitive markets in SaaS. We spoke with Roeland about building for continuous wins, why revenue clarity beats buzzwords, and how Aikido joins the buyer's journey instead of forcing rigid sales methodologies. Here are some of the key questions we address: How did Aikido grow from $5M to $20M+ ARR in one year? What does it mean to build an unignorable company? Why brutal focus on revenue simplifies product, hiring, and prioritization decisions Why joining the buyer's journey beats forcing MEDDICC-style sales processes How product-led trials reduce churn and increase win rates What it takes to scale from unicorn to decacorn (and why $100M ARR is the next real milestone)

Topics Covered Influencer marketing as a modern demand lever in a “feeds are flooded” environment (credibility + distribution vs polish)Building an influencer program as a repeatable system (not one-off posts)Aligning influencer strategy to GTM motion: PLG + sales-led dual motion, fast sales cycle, and audience behavior on LinkedInTalent sourcing: internal creators, power users, frontline thought leaders, executive narrative voices, and “entertainer/evangelism” creatorsUsing influencer content as paid social creative (thought leadership ads) and deciding what to amplifyProgram mechanics: 3-month trials, post cadence, onboarding, briefs, review cycles, and relationship managementIncentives tied to outcomes (PLG signup bonus, ARR percentage via UTM)Measurement options: cost per signup, CPM/efficient reach, ABM-style reach goals, qualitative signals, and attribution constraintsQuality control: “smell test” for AI slop, engagement pods, and meaningful comment engagementActivation workflow: first-hour engagement, “let it cook” windows, reporting, UTM updates for paid vs organic, and distribution trade-offsQuestions This Video Helps AnswerHow do you structure B2B influencer marketing so it drives demand (not just awareness) without becoming random acts of promotion?How should a B2B team align influencer strategy to GTM motion (PLG vs sales-led) and measurement constraints?What's the best place to start: internal creators, power users, or external influencers?How do you choose influencer “types” (executive narrative, frontline education, entertainment/evangelism) based on goals?What contract length and cadence reduces the risk of declaring influencer “doesn't work” too early?How do you turn influencer posts into paid social assets using thought leadership ads?What's a practical incentive structure for creators tied to signups and revenue (UTM-based)?How do you spot inflated performance from AI-generated engagement or engagement pods?When should you promote a post, and when should you leave it organic?How can you evaluate influencer impact using CPM, reach, signups, and qualitative sales signals?Key TakeawaysIf you want results, avoid one-off influencer posts; start with at least a 3-month trial so performance can compound and audience association can form.In crowded feeds, influencer works because it combines trust with distribution; paid amplification (thought leadership ads) can make “small” creators valuable when the story is strong.Start sourcing from internal creators and product power users first; they're cheaper, more credible on use cases, and their content can be promoted to the right audience.Make onboarding and relationships non-negotiable: demo the product, ideate together, and set a clear review cycle so feedback doesn't show up only as late-stage Google Doc edits.Tie incentives to business outcomes and effort: bonus for PLG signups over the contract window, percentage of ARR from UTM-driven revenue, and paid boosts for high-performing posts (which also benefits the creator's audience growth).Don't boost everything: let posts run organically first, then selectively promote what's likely to work in paid (not every organic winner is a paid winner).Quality control requires human judgment: scan comments and engagement patterns for meaningful conversation vs AI slop, pods, or gamed metrics.

Send us a textIn this episode of the B2B Go-To-Market Leaders Podcast, Vijay Damojipurapu sits down with Joseph Sirosh, Founder & CEO of CreatorsAGI, to explore how go-to-market strategy fundamentally changes in the age of AI, and why trust, differentiation, and customer clarity matter more than ever.With nearly three decades of experience leading AI initiatives at FICO, Amazon, Microsoft Azure, Compass, and Alexa Shopping, Joseph shares rare behind-the-scenes insights into how AI products actually make it to market, from early neural networks and fraud detection to today's agentic AI systems.The conversation spans founder-led sales, product-led vs. sales-led growth, and why AI forces companies to rethink how customers discover, evaluate, and trust complex products.They dive into:How Joseph defines GTM as ICP clarity plus differentiated value, not tactics or channels.Why GTM is never static and must evolve alongside product and customer maturity.The role of trust in B2B buying, and why buyers are betting their careers on your product.Lessons from selling AI at hyperscale versus starting from zero as a founder.Why product-led growth resembles DevOps for go-to-market.When sales-led growth is unavoidable and why complex products demand partnership selling.The early pivot from creator-focused AI to B2B agentic AI at Creators AGI.A real GTM success story showing how AI agents cut sales cycles in half.Why customers can't always tell you what AI product to build, and what founders should do instead.Practical advice for founders building GTM motions around emerging, fast-moving technology.This episode is a masterclass in AI-native go-to-market strategy, blending deep technical insight with real-world GTM execution from one of the industry's most experienced AI leaders.Connect with Vijay Damojipurapu on LinkedInConnect with Joseph Sirosh on LinkedInBrought to you by: stratyve.com

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

USDC closed the gap between software and law in modern finance.On Grit, Jeremy Allaire discusses how fully reserved, dollar backed digital currency became part of the financial system after more than a decade of work.He also shares why for him grit is about sustaining belief through deep uncertainty, even when Circle faced the threat of bankruptcy in 2019.Guest: Jeremy Allaire, Co-Founder, Chairman and CEO at Circle​Connect with Jeremy AllaireX: https://x.com/jerallaireLinkedIn: https://www.linkedin.com/in/jeremyallaire/Connect with JoubinX: https://x.com/JoubinmirLinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/Email: grit@kleinerperkins.comFollow on LinkedIn:https://www.linkedin.com/company/kpgritFollow on X:https://x.com/KPGrit​Learn more about Kleiner Perkins:https://www.kleinerperkins.com/ 

You asked, we're answering. In this listener Q&A episode, Amber and Carolyn tackle the hard questions GTM leaders are wrestling with behind closed doors…from broken attribution models to navigating organizational resistance when you're trying to drive real change.In this episode:Real talk on entrepreneurship: the wins, the loneliness, and knowing when to walk awayNavigating organizational resistance when you're championing changeWhy being in the top 5% of GTM leaders means accepting you're always pushing uphillWhy first-touch and last-touch attribution keep haunting you (and how to finally escape)How to get executive buy-in when everyone's comfortable with the status quoWhy deals from different sources have wildly different ACVs and win ratesThe systematic reality of revenue generation, and why singular attribution models completely miss itThis isn't surface-level advice. Amber and Carolyn are in the trenches daily with CROs, CMOs and RevOps leaders, rearchitecting go-to-market strategies and challenging sacred cows. We're bringing real examples to this convo, honest reflections about entrepreneurship, and zero sugarcoating about what separates companies that evolve from those that don't.Keep sending your questions. We want to hear your hot takes, especially if you disagree with what we're saying.

In this weeks' Scale Your Sales Podcast episode, my guest is Simon Sharp.   I'm CEO of Verto, a UK SaaS platform, the no 1 solution powering portfolio, programme and project management (P3M) across the UK public sector. An entrepreneur and GTM leader, I've co-founded RiskXchange, founded RockSec360 and held global revenue leadership roles scaling SaaS, cybersecurity, and fraud prevention companies from £1M to £100M+ worldwide.   In today's episode of Scale Your Sales podcast, Simon examine how science-led, data-driven approaches—enhanced by AI—are reshaping revenue architecture and modern sales leadership. Explore what differentiates organizations that achieve predictable ARR growth from those that plateau, with a strong focus on customer-centric growth systems, meaningful client relationships, and the evolving role of technology in sales. Drawing on his experience scaling multiple PE-backed SaaS businesses and his work with Winning by Design methodologies, Simon shares practical insights into how AI is improving efficiency and customer focus.   Welcome to Scale Your Sales Podcast, Simon Sharp.     Timestamps: 06:04 Retention: The Key to SaaS 06:58 Customer-Centric Growth Strategy 10:31 AI Tools Streamline Sales Processes 14:00 Prioritizing Sales Team Coaching 17:48 Coaching Individuals Over Deals 23:22 Strong Investor Relationships Drive Growth 24:53 Business Strategy and Time Management 28:57 Building Habits Gradually Yields Results   https://www.linkedin.com/in/simonsharp360/   Janice B Gordon is the award-winning Customer Growth Expert and Scale Your Sales Framework founder. She is by LinkedIn Sales 15 Innovating Sales Influencers to Follow 2021, the Top 50 Global Thought Leaders and Influencers on Customer Experience Nov 2020 and 150 Women B2B Thought Leaders You Should Follow in 2021. Janice helps companies worldwide to reimagine revenue growth thought customer experience and sales.   Book Janice to speak virtually at your next event: https://janicebgordon.com   LinkedIn: https://www.linkedin.com/janice-b-gordon/   Twitter: https://twitter.com/JaniceBGordon   Scale Your Sales Podcast: https://scaleyoursales.co.uk/podcast   More on the blog: https://scaleyoursales.co.uk/blog   Instagram: https://www.instagram.com/janicebgordon   Facebook: https://www.facebook.com/ScaleYourSales   And more! Visit our podcast website https://scaleyoursales.co.uk/podcast/ to watch or listen.

By popular demand, Michael Smith Jr., co-host of The Generalist podcast, and Daniel Cerventus Lim, semi-retired entrepreneur and community builder in Malaysia, return for another candid deep-dive into Southeast Asia and India tech landscape. Fresh off India's record-breaking IPO wave that's drawing regional companies like Pine Labs to redomicile, they dissect what this exit boom means for a Southeast Asian ecosystem still struggling with venture returns. Michael delivers his characteristically unflinching take on why "the year of [insert country]" never materializes beyond Singapore and Indonesia, while making the provocative case that most VCs fundamentally misunderstand B2B distribution strategy—specifically how hyperscaler marketplaces like AWS and Microsoft provide the GTM playbook that separates successful exits from perennial fundraising. Daniel shares emerging insights from the SME acquisition space, revealing the stark reality that traditional businesses are "seeing black" while venture-backed startups continue "seeing red." Together, they debate whether we're witnessing an AI infrastructure bubble that will pop or simply taper, examine why Southeast Asia leads globally in AI adoption despite the disconnect with venture outcomes, and question the fragility of cloud infrastructure after recent AWS and CloudFlare outages. The conversation culminates in a sobering assessment: the region has achieved a remarkable $300 billion digital economy milestone, but the path forward may require accepting longer timelines, smaller profitable exits over unicorn dreams, and modernizing traditional businesses rather than building the next ByteDance."If you don't think we're gonna get there, then you should all get outta tech because we're gonna get there. And if you're gonna get there, we barely have the horsepower to do the Google Docs that we have today, let alone the world I just described." - Michael Smith JrOn AI Assistance - “If you can get 90% of the stuff done, I just need to say yes or no. And that is like my [ideal state]." - Daniel Cerventus Episode Highlights: [00:00] Quotes of the Day by Michael, Daniel & Bernard[02:12] Record India IPOs signal redomiciling trend from Singapore[03:53] Pine Labs exit provides significant Southeast Asia returns[04:41] Indonesia's venture funding freeze despite strong exit activity[11:29] Year of whatever narrative never materializes for any country in ASEAN[15:05] AI infrastructure bubble debate: does it pop or fizzle?[18:42] OpenAI's unprecedented growth speed creates new tech pantheon[21:00] Recent AWS and CloudFlare outages highlight infrastructure fragility[24:00] AI agents remain in early stages of development[28:00] Real-world robotics models still lack adequate data foundations[34:00] AppPoint's dual NASDAQ-SGX listing demonstrates successful B2B strategy[38:00] B2B marketplace strategy provides essential distribution for startups[44:00] Reflections on eConomySEA 10th Year Report 2025[53:00] SME market offers modernization opportunities with lower risk[54:00] Southeast Asia modernization surprises many American visitors[56:00] SME acquisition market shows profitability versus startup losses[57:00] ClosingProfile: Michael Smith Jr., Tech Evangelist from Oracle & Co-Host, LinkedIn: https://www.linkedin.com/in/smittysgp/ YouTube: https://www.youtube.com/@TheGeneralistsPodcast Daniel Cerventus Lim, semi-retired entrepreneur, Community Builder in Malaysia and TEDxKL founder. LinkedIn: https://www.linkedin.com/in/cerventus/Facebook: https://www.facebook.com/groups/80164351656Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format.

בפרק הזה גלעד מארח את דרור ומאיר מהפודקאסט Beyond the Sprint לשיחה פתוחה על תקשורת ויחסי העבודה בין מנהלי מוצר למנהלי פיתוח. דרך סיפורים מהשטח וניסיון מצטבר מחברות שונות, הם משתפים על למה אף אחד מהתפקידים לא יכול להצליח בלי השני, איך פערי ציפיות נוצרים במעבר בין חברות וצוותים, ואיך מבנים ארגוניים שונים משפיעים על חלוקת אחריות, פוקוס וקבלת החלטות. הם נגעו במצבים שבהם מנהל פיתוח מתרחק מאזורי ה-GTM, מנהלי מוצר שהופכים ל״צינור״ במקום להוביל, ובחשיבות של חיבור לעדיפויות ולתמונה הגדולה. פרק שמיועד למנהלי מוצר, מנהלי פיתוח, ולכל מי שעובד בצוותים טכנולוגיים ורוצה לשפר את השותפות ביניהם.

For years, founders have been told to build a defensible moat. But in AI, where platforms, models, and capabilities can shift overnight, that advice is starting to feel outdated. In this episode of Fund/Build/Scale, Simular CEO and co-founder Ang Li talks about what it actually means to build a company when the underlying technology won't sit still. Rather than evangelizing agents or predicting the future of work, Ang gets unusually candid about fragility, speed, judgment, and how founders should think when technical advantages may be temporary by default. The conversation digs into small-team execution, founder productivity, decision-making under uncertainty, and the uncomfortable question many AI founders avoid: what if the next platform update eats your product?  Note: This interview was recorded before Simular closed its $21.5M Series A in December 2025. RUNTIME 56:44   EPISODE BREAKDOWN (1:52)  What is Simular, and how does it work? (6:11) How Ang and co-founder Jiachen Yang connected  (9:00) How much time passed between Day Zero and serving their first customer? (13:54) The moment Ang realized " this is gonna be like something huge." (17:21) How he approaches founder-led sales and what he looks for in a GTM hire  (26:34) Maintaining cohesion when you're leading a distributed team (32:23) Should you hire a new employee, or build a new agent? (34:50) Why Ang made talking AI gorillas part of Simular's GTM strategy (38:20)"If everyone becomes too cautious there, that actually prevents the innovation part." (43:55) "There's never a moat on anything." (51:16) The final question LINKS Ang Li Jiachen Yang Simular Meet the AI Agent with Multiple Personalities, Wired, 4/16/2025 Simular Raises $21.5M to Build Autonomous Computer Agents, 12/2/2025 What is Robotic Process Automation (RPA)?, IBM SUBSCRIBE

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

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

In this episode, we're joined by Madhav Bhandari, VP Marketing at Storylane, the demo automation platform helping B2B teams show their product before prospects ever talk to sales. Storylane is a profitable, fully remote SaaS with 50 employees, and a clear path toward $20M+. Madhav shares how Storylane broke out of the “race to average” in an insanely crowded martech and sales tech market, not by spending more, but by building a repeatable system for pattern interruption. We unpack how they used unconventional SEO, brand plays, and GTM experiments to grow brand searches from 1,500 to 12,000 per month, drive massive inbound, and turn marketing into a true growth engine. We spoke with Madhav about why great products aren't enough anymore, how to become the first vendor prospects discover, and how to build a marketing portfolio that consistently produces breakout ideas instead of chasing one-hit wonders. Here are some of the key questions we address: Why visibility, not budget, is the real advantage in crowded SaaS markets What pattern interruption actually means and how to systematize it How Storylane grew brand searches 8x and created an unfair inbound advantage Why traditional SEO and blog strategies are too slow, and what replaced them How to build a marketing portfolio instead of chasing viral one-offs Where pattern interruption should live and why leadership must own it

In this episode of This New Way, Aydin sits down with Hai Nghiem from AGI Ventures Canada to explore how Claude Code is changing the way teams build software, automate workflows, and even run go-to-market operations—without requiring everyone to be a developer.Hai walks through real, hands-on examples of using Claude Code as a terminal-based AI agent to qualify inbound leads, generate follow-up emails and statements of work, manage internal context with skills and sub-agents, and even automate browser-based tasks like filling out applications. The conversation dives deep into go-to-market engineering, context engineering, and why skills are becoming one of the most powerful primitives for scaling AI across an organization.If you're curious how non-technical teams can start using agents today—or how technical teams can dramatically compress GTM and sales workflows—this episode is a must-listen.Key Timestamps00:00 - Intro00:08.334 – “What's the killer AI product everyone should be using?”00:25.582 – Hai introduces Claude Code and why it's blowing up01:10.900 – Claude Code as an agent running in your terminal01:45.600 – Go-to-market engineering and reducing SDR teams02:10.222 – Industry trend: shrinking sales teams with AI agents03:45.976 – Claude Code vs Cursor for coding workflows04:32.100 – Writing 90% of production code with AI (safely)05:45.300 – Non-coding automation with Claude Code, Zapier, and n8n06:01.645 – What AGI Ventures Canada does06:45.900 – AI Tinkers community and the origins of AGI Ventures07:38.958 – Automating inbound lead qualification08:50.839 – Live role play: discovery call walkthrough09:12.607 – Using Notion as a live note-taker and context store10:03.350 – Example GTM automation use cases at Fellow11:52.973 – Running Claude Code with “dangerously skip permissions”13:07.050 – Sub-agents vs skills explained16:40.851 – What Claude “skills” actually are17:15.359 – Email writer skill walkthrough20:19.750 – Auto-updating skills from real GTM learnings22:19.592 – How Claude pulls context from Notion automatically25:42.632 – Generating follow-up emails using skills30:08.595 – Generating Statements of Work with scripts31:35.478 – Browser automation with the Claude Chrome extension32:16.870 – Auto-filling applications using personal skills34:56.562 – AI-powered Discord bot for community support37:18.114 – Live fact-checking inside Discord38:09.159 – How to contact AGI VenturesTools & Technologies MentionedClaude (Anthropic)An AI assistant positioned as a business-focused alternative to ChatGPT.Claude CodeA terminal-based AI agent that can write code, automate workflows, manage files, and interact with browsers—used heavily for GTM and internal automation.Claude SkillsLightweight, reusable instruction sets that teach Claude how to perform specific tasks (e.g., writing sales emails) without permanently consuming context.Claude Sub-agentsDelegated agents used to manage context and offload complex tasks without bloating the main agent's context window.NotionUsed as a lightweight CRM, document store, and central source of truth for agent context.DiscordPrimary internal and community communication platform, integrated with AI bots for automated responses.Chrome Automation (Claude Extension)Allows Claude Code to control the browser and complete web-based tasks like filling out forms.ZapierNo-code automation tool for connecting apps and workflows.n8nOpen-source workflow automation tool often used for advanced AI and agent pipelines.GPT Models (OpenAI)Currently used in AGI Ventures' Discord bot, with plans to migrate to Claude models.Contact Hai:agiventures.cahai@agiventures.cahttps://ca.linkedin.com/in/haiphunghiemSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

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

SaaStr 838: The Present and Future of AI in Sales and GTM with SaaStr's CEO and Owner's CRO Jason Lemkin on Going All-In on AI Agents: 20 Agents, Zero SDRs, and the Death of Mid-Pack Sales Jason Lemkin, Founder and CEO of SaaStr, sits down with Kyle Norton, CRO at Owner, to share the raw story of how frustration with sales team turnover pushed him to deploy 20 AI agents in under a year, and why we'll never go back. In this episode, we cover: → Why Jason stopped hiring SDRs after two senior reps ghosted him right before SaaStr Annual → The real reason most AI agent deployments fail (hint: it's not the technology) → How to pick your first AI vendor: "Talk to your forward deployed engineer before you sign" → Why Salesforce is having a Renaissance as the hub for AI agents → The brutal truth about mid-pack sales jobs being in "terminal decline" → How to get started with AI agents when your CFO won't give you budget → AgentForce vs. the hot startups: what actually works in production → Why the $250K SDR is coming, but only for the truly elite Jason's advice for revenue leaders: "Roll up your sleeves. If you haven't trained an agent yourself, you'll be utterly ignorant in the age of AI."

Most deals aren't lost because of price.They're lost because sellers rush discovery.In this episode of Revenue Leaders, we break down a real deal win where deep discovery, buying-group alignment, and a slower sales process beat larger, more established competitors.You'll learn:Why deep discovery creates confidence in buying decisionsHow involving multiple stakeholders reduces deal riskWhy surface-level discovery kills dealsHow to slow down the sales process and win more consistentlyWhy it's not what you sell — it's how you sellIf you sell complex or B2B deals, manage sales teams, or lead go-to-market strategy, this episode is for you.⭐ Unlock free resources (templates, frameworks & prompts):https://coachpilot.beehiiv.com/Join the community & access 157+ templates, frameworks and mega AI prompts used by top revenue teams.Watch Full Episode on YouTube:⁠https://www.youtube.com/@revenueleaders⁠Follow us:⁠https://www.instagram.com/davidfastuca/⁠

Databox is an easy-to-use Analytics Platform for growing businesses. We make it easy to centralize and view your entire company's marketing, sales, revenue, and product data in one place, so you always know how you're performing. Learn More About DataboxSubscribe to our newsletter for episode summaries, benchmark data, and moreRodrigo Fernandez has helped 400+ SaaS companies drive over $1B in self-serve revenue and he's seen one problem kill growth over and over again: no one truly owns activation.In this episode, Rodrigo breaks down:Why “activation” is almost always misdefined (and who should actually define it)How teams confuse activity with value — and what to track insteadThe fatal flaws in bottom-up metrics and AI gimmicksWhat a real product activation journey looks like (solar system analogy and all)Why most PLG stacks are noisy, bloated, and doomed from the startIf you're stuck at $10M and can't see a path to $20M, this might be why.

Level up your B2B marketing and build a brand that actually stands out: subscribe to the Pipe Dream podcast from B2B Better for narrative-driven B2B marketing strategy, media-led content ideas, and practical GTM frameworks from host Jason Bradwell. Tired of AI-generated spam clogging up your inbox? So is everyone else. In this episode, host Jason Bradwell sits down with Mike Adams - founder of Intro Stars and host of The Super Connectors podcast - to talk about why the future of B2B isn't more automation, it's better relationships. Mike shares how he's building a marketplace that turns warm introductions into real business growth, why "super connectors" are becoming the most valuable people in tech, and how any B2B company can launch their own referral program without it feeling sleazy or transactional. If you're tired of cold outreach that doesn't work and LinkedIn DMs that make you cringe, this conversation is for you. Jason and Mike start by tackling the elephant in the room - AI-driven lead generation is failing spectacularly. Everyone's inbox is flooded with personalised-but-not-really messages that feel increasingly desperate and spammy. Mike explains why this approach is burning bridges instead of building them, and what smart B2B companies are doing instead. They dive into the mechanics of building a warm referral program that actually works. Mike breaks down the key components: clear terms and conditions so everyone knows what they're signing up for, intro success fees that align incentives properly, and systems that make it easy for people to make quality introductions without it becoming a second job. The goal isn't to turn everyone into a salesperson - it's to create a structure where natural connectors can do what they already love doing, but with better outcomes for everyone. Mike also unpacks what makes someone a "super connector" and why these people are becoming increasingly valuable in B2B. It's not just about having a big network - it's about being someone who genuinely enjoys bringing people together and has built enough trust that when they make an introduction, both sides pay attention. Mike's even created a super connector certification badge for people who excel at this, which is becoming a real differentiator in the market. They explore how the "intro economy" is emerging as a counter-movement to the automation-everything trend. While AI can do a lot of things, it fundamentally can't build the kind of trust that comes from a warm introduction from someone you respect. Mike shares stories from his time at Zoom, Apple, and HP about how the best deals always came through relationships, not cold outreach. The conversation gets really practical when Mike walks through how to structure an introductions marketplace - what incentives work, how to track success, and how to keep quality high when you're trying to scale. He's learned a lot from building Intro Stars, and he's refreshingly honest about what's worked and what hasn't. Throughout the episode, both Jason and Mike keep coming back to a central theme: in an age where anyone can automate outreach at scale, the real competitive advantage is being genuinely human. Building relationships takes longer, but the ROI is dramatically better and the relationships actually last. If you're a B2B marketer watching your response rates plummet while your competitors keep cranking up the automation, this conversation offers a different path forward. Mike and Jason make a compelling case that the antidote to AI spam isn't better AI - it's better relationships. Whether you're at a startup trying to get your first customers or a scale-up looking to break into enterprise, the principles Mike shares about warm introductions and super connectors can transform how you think about growth.

The B2B marketing playbook you spent a decade perfecting just died. ChatGPT just killed it. When information is free and instant, what's left for B2B marketers to do? And how are the smartest companies adapting? Each week, Jason Bradwell profiles the B2B brands that stopped competing on information and started building media that actually differentiates. Personality-driven content, opinionated points of view, and strategies that work when 'helpful content' is no longer enough. From founders turning expertise into media empires, to marketing teams using shows as full-funnel growth engines, to sales leaders building audiences that outlive their products - these are the companies rewriting the rules in real time. This isn't another podcast about content strategy. It's about survival, differentiation, and what actually works in the post-AI marketing landscape. If you're a B2B marketer, founder, or GTM leader who senses the ground shifting - and you're looking for proof of what works now - this is your show. Hosted by Jason Bradwell, founder of B2B Better, an owned media marketing agency helping B2B companies build media that matters. New episodes... all the time. Learn more at http://www.b2b-better.com

Switching into product can feel like a one-way door, especially if you're already successful in another function. But for Michael, the path from product marketing to product management wasn't a leap of faith, it was a series of low-risk experiments, relationship-driven conversations, and intentional “spikes” he could bring to the PM role.In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Michael Chen (former PMM at LinkedIn, Slack, and Asana; now a PM at DoorDash) to break down exactly how he made the transition from marketing into product, and what made it work. They unpack the fears people don't say out loud (title cuts, failing publicly, losing social capital), why internal moves are often more about timing + business need than a single ask, and how to frame the whole process as an exploration rather than a high-stakes bet.Michael also shares how his go-to-market and storytelling background has become a real product advantage, especially in areas like pricing & packaging, subscription tiers, and helping customers “see and believe” the value before they ever click buy. If you're a PMM, marketer, or operator who wants to become a builder, or a PM who wants stronger GTM instincts - this episode is a practical blueprint.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Sam, Asad, and AJ are back to debate the hard numbers shaping the GTM landscape in 2026. The consensus? The freeze is thawing, but the rules have changed. Sam predicts we've entered the "Year of the Deal." Investors are exhausted, founders are tired, and the market is finally ready to clear—even if that means restructuring cap tables to take the win and move on. Asad brings the sobering data on the "Great Concentration," revealing that almost half of venture capital went to a surprisingly small number of companies, while AJ argues that without a compelling AI narrative, traditional SaaS assets will face a brutal valuation ceiling.   Chapters: 00:36 Welcome to 2026: Intro and Hosts 02:30 Quiz Pro Quo 08:56 Sam's Prediction: The Year of the Deal 13:53 AI-Native vs. Traditional Investment Trends 16:42 Founder Exhaustion and the Acceptance of Lower Exits 19:40 The VC Perspective on Clearing "Vintage" Funds 24:00 Advice for Seed Founders: Shut Down or Sell? 28:22 Sam's Bearish Take on OpenAI's Financials 31:12 Testing the Stickiness of AI Models 38:03 Asad's Prediction: The Era of Capital Concentration 43:21 Why 2026 Will See Increased Layoffs 46:37 The Confusion of a High-Churn Job Market 50:19 Shoutouts and Personal Reflections  

Most marketing and revenue leaders know their data model is flawed. The elite ones actually architect something new. This is how.This episode is part of a 5-part series exploring the journey B2B revenue leaders take from reactive chaos to finally understanding, measuring, and transforming their entire Revenue Factory. Each stage represents a critical inflection point and the exact moments that separate leaders who consistently hit targets and drive real, provable results.This episode explores Stage 4: Architecting Transformation—where you shift from recognizing what's broken to designing what comes next. This is where transformation moves from concept to practice.What We Cover in This Episode:The two realizations that trigger readiness for transformation: understanding the career-ending cost of staying in a broken system AND seeing lived proof of what's possible when you rebuildThe 4 core elements your new data model MUST have: removing department silos, multi-dimensional tracking, the new GTM stages, and unified metrics with separate accountabilityWhy the old Demand Waterfall model is structurally broken and what the Engage → Prospect → Pipeline framework unlocksHow to operate GTM like a relay race instead of siloed teams competing for creditThe exact business case framework to get leadership buy-in (including how to quantify the revenue you're leaving on the table)Build vs. buy: Understanding the "Time Tax" and why elite teams move 4–5x faster with proven frameworksThe 3 critical mistakes that kill transformation before it even starts and how to avoid themThis is the episode for every revenue, marketing, or GTM leader who has ever thought:"I know what needs to change, but I don't know where to start""How do I get leadership to invest in this transformation?""What does the new model actually need to look like?"Stage 4 is where you become the architect of your own transformation. This is where you stop talking about change and start building it.

Your vision, your brand, your dream: imagine if you could launch custom-branded content without being at the mercy of mysterious social media algorithms or shadow-banning? Imagine no more. Lightcast makes your dream a reality. Mike Guerity is the head of GTM strategy and marketing for this full-stack OTT program, and shares how Lightcast allows creators to distribute their content globally using easy-to-use technology. Now integrated with AI and automation, Lightcast allows viewers to find specific content in seconds. In addition, you have complete control over your apps and programs, allowing you to develop your brand on a platform you own. All files are stored on a protected server with detailed analytics and customized feedback available. Build your dream platform and see your vision come to life with Lightcast.TAKEAWAYSLightcast's media cloud is the longest-running online video platform in existenceLightcast's advanced programs helps identify patterns and trends that will be game changers in the media spaceAI integration on the Lightcast platform helps boost visibility and tighten metadataProtect yourself from cancel culture and deplatforming by joining Lightcast and enjoy the easy-to-use one-click publishing feature

In this episode of The Ross Simmonds Show, Ross dives deep into the ways AI is reshaping how entrepreneurs, marketers, and content creators work and how you can use tools like Claude, ChatGPT, and Distribution.AI to get an edge instead of being left behind. Ross shares strategic frameworks, prompting techniques, and real-life use cases that show how AI isn't here to replace you, it's here to elevate what you do best. This episode is a masterclass in using generative AI as your co-pilot for ideation, execution, and growth. Key Takeaways and Insights: 1. AI is Not a Threat - High-performing marketers treat AI as a strategic partner, not a shortcut or replacement. - The real differentiator is how you work with AI—systems, iteration, and judgment matter more than tools. - Winners focus on long-term leverage, not short-term panic. 2. Why Claude Stands Out for Marketers- Claude consistently delivers stronger brand-aligned writing for positioning, messaging, and copy. - Less “robotic” output makes it useful for customer-facing content. - Tool choice matters less than mindset 3. Repurposing Content at Scale - AI can extract quotes, threads, newsletters, and posts from long-form content. - Tools like Distribution.ai automate cross-channel repurposing and scheduling. - Claude remains a strong budget-friendly alternative for manual workflows. 4. The Four-Phase AI Workflow: Discover → Framework → Build → Polish - Break complex projects into structured phases instead of one-shot prompts. - Improves quality, alignment, and creative control. - Applicable to blogs, ebooks, GTM plans, and proposals. 5. AI Amplifies Strategy, It Doesn't Replace It - AI handles speed and execution; humans provide judgment, taste, and insight. Marketers who avoid AI risk falling behind peers who use it strategically. Resources & Tools:

Hubble Network is redefining what's possible in satellite connectivity by connecting standard Bluetooth chips to satellites over 500 kilometers away using advanced antenna arrays and digital beamforming. Founded in 2021 by Alex Haro (co-founder of Life360, which IPO'd in 2019 and grew to 80+ million monthly active users) and Ben Longmier (whose previous company's protocol became Amazon Sidewalk after acquisition), Hubble has launched seven operational satellites via SpaceX and is serving enterprise customers across intermodal logistics, off-grid construction, and outdoor recreation. In a recent episode of BUILDERS, I sat down with Alex to explore how Hubble is building the infrastructure layer for global IoT—positioning as the "T-Mobile of space" rather than competing in device markets. Topics Discussed: The technical architecture behind connecting Bluetooth to satellites: lowering bit rates, optimizing modulation, and deploying hundreds of antennas for digital beamforming SpaceX's rideshare program mechanics and what it actually takes to book satellite launches as a startup Why Hubble deliberately chose to be network infrastructure rather than building hardware for specific verticals The psychology barrier of overcoming Bluetooth's short-range association—even among experienced RF engineers from Google, Amazon, and Starlink Strategic focus decisions when facing unlimited market opportunity across construction, agriculture, mining, logistics, and defense Transparent pricing as a developer-first GTM strategy versus traditional enterprise carrier sales models The transition from Life360's consumer hardware exploration to founding a satellite networking company GTM Lessons For B2B Founders: Choose your competitive layer strategically—infrastructure scales differently than applications: Hubble explicitly positioned as network infrastructure, not a device manufacturer. Alex stated: "We're not focused on building the hardware or devices. We very much view ourselves as a networking company." This allows enterprise customers to integrate Hubble connectivity into their existing devices with just a software change to the Bluetooth chip. The result: each B2B customer can deploy hundreds or thousands of devices to their end users, creating exponential reach. For founders building horizontal technology, consider whether competing at the infrastructure layer—even if less immediately tangible—creates superior unit economics and market leverage versus building full-stack solutions. Developer-first positioning requires operational commitment, not just marketing: Hubble's pricing transparency wasn't a marketing tactic—Alex described it as "hardcore to our ethos" because their goal is connecting billions of devices. They explicitly modeled after Twilio and Stripe rather than Verizon or AT&T, making it possible for engineers to validate unit economics independently and start free trials without sales conversations. This wasn't debated internally because both co-founders and the early team aligned on this approach. For infrastructure companies targeting massive scale, half-measures on developer experience will fail—the entire go-to-market motion must support self-service validation and transparent economics. Constraint forces clarity—unlimited TAM demands disciplined ICP filtering: Despite viable use cases across construction, oil and gas, mining, agriculture, supply chain, and defense, Alex emphasized: "In the early stages, focus is the most important thing. Every hour matters and being able to focus matters quite a bit and defocusing yourself can really hurt." Hubble's "sexy hook of Bluetooth to space" generates inbound interest across industries, creating constant pressure to expand. Their active debate centers on which industry leaders are "solving important use cases" with existing customer bases of "hundreds, if not thousands of customers." For founders with horizontal technology, resist opportunistic deals—filter aggressively for partners who provide concentrated distribution rather than one-off deployments. Physical demonstration collapses credibility timelines for counterintuitive technology: Hubble faced skepticism even from sophisticated RF engineers because of hardwired associations between Bluetooth and short range. Alex noted: "Some of the investors that joined our A or B, they passed on our seed and A because they thought, well, I believe in Alex, but is this really physically possible?" Post-launch with working satellites, the conversation shifted from "is this possible?" to commercial terms. The lesson isn't just "show don't tell"—it's that for technically improbable innovations, rushing to demonstrable proof compresses months of explanation into minutes of validation. Founders should potentially sacrifice feature breadth to reach a single, undeniable proof point faster. Operational domain expertise reveals infrastructure gaps others can't see: Alex spent years as CTO of Life360 attempting to build connected hardware for families—smart pet collars, GPS watches for kids, fall detectors—but existing networks had "super short battery life, very bulky, no global coverage, way too expensive." He invested in Ben's previous mesh network company and became a close advisor before co-founding Hubble. The insight wasn't theoretical—it came from failing repeatedly to solve the problem with existing infrastructure. Founders should treat operational frustrations in previous roles as proprietary market intelligence: you've already paid the learning cost that competitors will need years to acquire. // 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

My guests today are Animesh Koratana and Jamin Ball. Animesh is the founder and CEO of our portfolio company PlayerZero, which is building AI production engineers that operate complex enterprise software autonomously - resolving production incidents, catching defects before release, and building durable models of how systems actually behave.Jamin is a partner at Altimeter Capital and the writer behind Clouded Judgement, a Substack where he analyzes emerging trends in enterprise software. Jamin recently sparked a debate with an essay titled “Long Live Systems of Record.” His core argument is that while agents are changing how software is used and where value accrues, they still depend on ground truth. Systems of record won't disappear so much as get pushed down the stack as new agent-native interfaces emerge on top.My partner Jaya and I felt compelled to respond, with Animesh contributing insights based on what he's seeing on the ground as he builds PlayerZero. From our perspective, the missing layer is what happens inside the workflow itself: the judgment, exceptions, and reasoning that agents and humans apply as work gets done. We call these decision traces, and we believe the context graph they form over time will become the most valuable asset for companies building and deploying AI systems.It's a genuine debate - and one that's only going to matter more as agents move from demos to production.Looking forward to keeping the conversation going!Chapters00:00 Why Jamin's essay sparked debate00:35 Jamin's thesis: why agents need ground truth02:00 Animesh on why context graphs become the new source of leverage07:58 What current systems of record miss08:28 PlayerZero's perspective: context graphs in practice10:00 How context graphs could change org structures11:10 How to capture decision traces without forcing humans to log it?14:35 Which systems of record are most at risk17:04 Two workflows ripe for disruption: GTM and software development22:31 Animesh on where context graphs can add most value 28:50 Why context graphs create durability vs short-lived point solutions30:00 Will context graphs be verticalized or universal?34:00 Bear case: do context graphs fail like semantic layers?43:27 2026 predictions: big AI IPOs, world models, enterprise agent adoption45:00 Hot takes: point solutions die; AI job-loss discourse hits a fever pitch47:30 Jevons paradox: why agents create more work, not less

The SaaS Revolution Show with Alex Theuma and Kady Srinivasan, CMO at Freshworks and former CMO at You.com. Kady shares how she rebuilt the You.com GTM strategy from the ground up after multiple pivots. Rather than trying to fix broken SaaS playbooks, she replaced them with a multithreaded marketing model that 10x'd MQLs and grew ACV by 86% in just two quarters. Alex and Kady discuss: - Why traditional GTM playbooks break down in the AI era - What multithreaded marketing actually looks like in practice - How to structure marketing teams for ownership and speed - The role of prompt marketers and AI-native workflows - Using AI as an execution accelerator, not a strategy shortcut - The differences between selling to AI natives and AI laggards - The reality of operating with a complex, multi-tool GTM stack       Check out the other ways SaaStock is helping SaaS founders move their business forward: 

Most sellers don't miss their targets because of effort.They miss them because they don't plan the work behind the number.In this episode of Revenue Leaders, we break down how top sellers and sales leaders reverse-engineer their year, map activity to targets, and remove guesswork from execution.You'll learn:Why targets alone don't drive sales performanceHow to reverse-engineer your sales year into daily activityWhat to do when deals slip and results fall behindWhy controlling activity matters more than controlling outcomesHow top sellers plan for pressure instead of reacting to itIf you sell complex or B2B deals, manage sales teams, or want more consistent performance, this episode is for you.⭐ Unlock free resources (templates, frameworks & prompts):https://coachpilot.beehiiv.com/Join the community & access 157+ templates, frameworks and mega AI prompts used by top revenue teams.Watch Full Episode on YouTube:https://www.youtube.com/@revenueleadersFollow us:https://www.instagram.com/davidfastuca/

Welcome back to another episode of the EUVC Podcast. Today, Jeppe sits down with Emil Eifrem, founder & CEO of Neo4j, the world's leading graph database and a core infrastructure layer for AI applications used by all 20 of the top US banks, 9 of 10 global pharma giants, and every major automotive OEM.Emil recently announced a $100M global startup program to back founders building the next generation of AI-native products on top of graph technology — from knowledge graphs to hallucination-free LLMs.We delve into why graph thinking matters now, how Neo4j came of age during the Panama Papers investigation, and why Europe is better positioned than people think to compete in the AI platform shift.Here's what's covered:02:00 — The Panama Papers “Coming Out Party”How journalists used Neo4j to uncover 7-layer-deep financial relationships invisible to traditional databases — and why it triggered a wave of global adoption.06:40 — Why Graphs Are the Missing Link for AIKnowledge, meaning, context, and relationships: why LLMs without structured knowledge graphs hallucinate.08:50 — The $100M Startup ProgramWhy Neo4j is returning to its roots to support AI-native founders — and why the packaging for startups had to change.12:00 — What Founders GetFree Aura credits, dedicated graph engineers, joint GTM, and access to the world's largest graph developer community.14:30 — Early Traction: 300+ Startups in WeeksWhy early demand is far ahead of expectations — and the kinds of companies applying.16:10 — Community as a Strategic Moat500+ annual global events, deep developer love, and why skill availability is now a CIO-level buying criterion.19:00 — Building Deep Tech in EuropeWhy Neo4j kept engineering in Europe, how the ecosystem matured, and what today's founders can learn.22:00 — Regulation & CompetitivenessWill Europe overregulate itself out of the AI race? Emil's perspective on models vs infrastructure vs applications.23:40 — The Future of AI InfrastructureWhy every company must rethink its stack — and why the biggest threat is assuming your business will survive without change.

Glean has grown into a $7.2B company by giving employees AI assistants and agents that extend their capabilities.CEO Arvind Jain is back on Grit alongside Joubin Mirzadegan. Here's what stood out:“My mindset by default is that if you build something last year, that it's got to be obsolete. There has to be a new way to do that thing better today. If not, then it's just lack of imagination.”“I have no doubts that AI capabilities are just going to increase more and more over the next few years. But even more important is this concept of how much are we even leveraging what AI can do today? I would say that we've not even used 1% of current capabilities of these models”“If you're trying to be everything to everyone, then you just cannot compete with somebody who's focused on a smaller problem and going deep into that.”You can also listen to Arvind's earlier episode here: https://www.youtube.com/watch?v=iIH0Qp6d6bg&list=PLRiWZFltuYPF8A6UGm74K2q29UwU-Kk9k&index=96Guest: Arvind Jain, founder and CEO, Glean​Connect with Arvind JainX: https://x.com/jainarvindLinkedIn: https://www.linkedin.com/in/jain-arvind/Connect with JoubinX: https://x.com/JoubinmirLinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/Email: grit@kleinerperkins.comFollow on LinkedIn:https://www.linkedin.com/company/kpgritFollow on X:https://x.com/KPGrit​Learn more about Kleiner Perkins:https://www.kleinerperkins.com/

In this episode of Make It Happen Mondays, John welcomes Michael King, founder of King Recruiting and one of the sharpest minds when it comes to hiring, recruiting, and building exceptional teams. Michael has worked with high-growth companies for years and knows exactly where the hiring process breaks down — and more importantly, how to fix it.John and Michael talk about why traditional recruiting is broken, how founders and sales leaders need to sell the opportunity (not just list requirements), and the mistake most companies make by not aligning hiring to their go-to-market motion. Michael breaks down why recruiting should be treated like a pipeline — with leads, qualification, and conversion — and how to attract top-tier talent in a hyper-competitive market.If you're a founder, sales leader, or anyone responsible for building teams in today's market, this episode is packed with perspective-shifting insights and tactical frameworks you can use immediately. Whether you're hiring your first AE or scaling a GTM org, Michael's approach will help you get it right.Are you interested in leveling up your sales skills and staying relevant in today's AI-driven landscape? Visit www.jbarrows.com and let's Make It Happen together!Connect with John on LinkedIn: https://www.linkedin.com/in/johnbarrows/Connect with John on IG: https://www.instagram.com/johnmbarrows/Check out John's Membership: https://go.jbarrows.com/pages/individual-membership?ref=3edab1Join John's Newsletter: https://www.jbarrows.com/newsletterConnect with Michael's on LinkedIn: https://www.linkedin.com/in/michaelking/Check out Michael's Website: https://kingrecruiting.net/Get Michael's Book "Be There When I Return" here: https://www.michaeltking.com/

Axenya is rebuilding healthcare around chronic disease prevention through AI-powered continuous monitoring. Covering 100,000 lives in Brazil and processing 95 million clinical inferences monthly, the company pivoted from clinical technology provider to healthcare broker - achieving cash flow positive status before their Series A. In this episode of BUILDERS, I sat down with Mariano García-Valiño, CEO and Founder of Axenya, to learn how they spent $3 million building the "perfect product" before discovering no one would pay for it, why they acquired a small broker to unlock their revenue model, and their regulatory-constrained approach to geographic expansion. Topics Discussed: Axenya's shift from infectious disease to chronic disease management through wearables and AI The 12-month zero-revenue period after spending $3 million on product development Why doctors, patients, and health plans all failed as buyers despite clinical validation The broker acquisition that unlocked their business model Performance-based pricing: zero fees upfront, revenue from cost savings only Regulatory barriers determining expansion (Mexico viable, Argentina impossible, Europe requires model redesign) Field-force-driven GTM with 30+ salespeople for complex, high-ACV enterprise deals Path to cash flow positive before Series A and scaling playbook for 2026 // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Text us your thoughts on the episode or the show!In this episode of Ops Cast, hosted by Michael Hartmann and powered by MarketingOps.com, Michael is joined by Ivelisse Arroyo, Marketing Operations Leader and Executive Advisor on Go-To-Market Operations. Ivelisse brings a business-first perspective shaped by a background in accounting and deep experience across manufacturing and healthcare insurance. Her work focuses on connecting Marketing Ops, RevOps, and Business Operations into a single, cohesive system that supports revenue, efficiency, and customer outcomes. The discussion explores what happens when marketing is embedded across the business instead of being treated as a standalone service function.Ivelisse shares why operational disconnects often explain underperforming marketing, how regulated industries expose these gaps faster, and why executives are paying closer attention to GTM operations than ever before.In this episode, you will learn:Why marketing struggles when it is isolated from business operationsHow embedding marketing into revenue, finance, and delivery changes outcomesWhat Marketing Ops professionals can learn from Business Ops and financeWhy starting with revenue and cost impact resonates with executive leadershipHow modern technology and AI are reshaping Ops career pathsThis episode is ideal for Marketing Ops, RevOps, and GTM leaders who want to expand their influence beyond marketing, align more closely with the business, and help organizations operate as one connected system.Episode Brought to You By MO Pros The #1 Community for Marketing Operations Professionals MarketingOps.com is curating the GTM Ops Track at Demand & Expand (May 19-20, San Francisco) - the premier B2B marketing event featuring 600+ practitioners sharing real solutions to real problems. Use code MOPS20 for 20% off tickets, or get 35-50% off as a MarketingOps.com member. Learn more at demandandexpand.com.Support the show

In this episode of The SaaS Revolution Show, Alex Theuma is joined by Nick Turner, CEO of Dreamdata, to discuss the journey from CRO to CEO and what it really takes to scale a B2B SaaS company in the age of AI. Nick shares lessons from Dreamdata's growth journey, including the company's $55M Series B, and explains why trust and accuracy matter more than hype when building AI products. He breaks down the risks of applying generative AI and agents to complex revenue and attribution data and what SaaS leaders should consider before putting AI in front of customers, boards, or finance teams. Alex and Nick also discuss: - Nick's transition from CRO to CEO and what changed at the leadership level. - How Dreamdata approaches AI as a system of context, not just automation. - Why reliable attribution and data integrity are critical for modern GTM teams. - How investors evaluate AI, retention, and fundamentals at growth stage. - Practical advice for founders building sustainable, predictable SaaS businesses into 2026.       Check out the other ways SaaStock is helping SaaS founders move their business forward: 

Turnstile is reimagining quote-to-cash for the modern B2B world, where negotiated agreements create operational chaos that standard pricing never does. After selling Second Measure to Bloomberg, co-founders Michael Babineau and Lillian Chou experienced the irony firsthand: running a data analytics company while managing their own revenue operations through spreadsheets and manual processes. That incongruence became the catalyst for Turnstile, a self-serve revenue platform designed to support sales-led B2B companies from their first negotiated deal through tens of millions in ARR. In this conversation, Michael shares how they're solving the structured data problem that plagues B2B revenue operations, why eliminating custom development forced genuine platform flexibility, and how they're collapsing a traditionally 3-6 month implementation into a self-serve onboarding that takes minutes. Topics Discussed: Why negotiated B2B agreements create the structured data problem that breaks revenue operations Turnstile's compound startup approach spanning quote-to-cash to revenue recognition The internal ban on custom development that forced true configurability into the platform How supporting non-standard contracts from day one enables earlier market entry than traditional CPQ Revenue leakage and "truth drift" between contract terms and actual customer relationships The rippling-style GTM strategy: start with startups, grow into enterprise with your customers Positioning challenges when your category exists but your ICP doesn't know it yet Building for human operators and AI agents simultaneously on the same platform primitives Agentic dunning and the roadmap toward AI-automated revenue operations // 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

In this episode of the Scaling Japan Podcast, we're joined by Anna Skrypka, a cultural AI strategist, creative director, and founder of Anna Skrypka Studio. Anna is also the creator of the Augmented Human Method, a framework that unifies cultural intelligence and AI-powered go-to-market (GTM) strategy.With over 15 years of experience in global tech and nearly a decade in Japan, Anna has helped scale SaaS and creative tech businesses for companies like Autodesk and Woven by Toyota. She now advises startups and corporates on how to enter and scale in Japan using culturally intelligent GTM systems.In this episode, Anna shares how most startups are failing their Japan GTM — not because of product issues, but because they ignore cultural trust signals and scale with AI in the wrong direction. If you're a founder or marketer entering Japan, this conversation will change how you think about localization, AI workflows, and market fit.What you'll learn in this episode:Why Japan is a high-context market and how it changes buyer behaviorHow cultural intelligence improves GTM messaging and product resonanceThe 3 biggest GTM traps (Great Translation Fallacy, Silent Excellence Trap, AI Acceleration Paradox)How to use AI marketing workflows with cultural nuanceVisual and narrative localization: what most GTMs missJapan tech trends to watch in 2026Show Notes:00:00 – Introduction02:40 – Cultural Intelligence: The Missing Piece in Japan GTM Strategy06:23 – Trust Signals and Misconceptions About “Difficult” Japan12:04 – 3 Big GTM Traps Companies Fall Into20:59 – AI Workflows for Culturally Intelligent Marketing34:50 – Visual Localization and Creative AI Tools43:33 – 5 Questions to Diagnose If Your Japan GTM Will FailLinks from Guest Appearance:

In this episode, Carolyn and Amber break down a real-world case study of a $25M ARR enterprise SaaS company in a highly regulated industry that came to Passetto with strong teams, active demand, and declining win rates...but no reliable way to explain the genetic makeup of their deals or prove how marketing influenced revenue.We break down what surfaced during a 14-day analysis: why most opportunities had no clear lineage, how underperforming channels like paid search were absorbing spend without driving meaningful conversion, and how marketing influence effectively disappeared once deals entered the sales cycle.Most importantly, we share how rebuilding visibility across the funnel can turn win rate into a controllable lever, and why we estimate this shift alone could unlock ~$1M in incremental revenue, without increasing pipeline volume, budget, or headcount.We break down the insights their team uncovered:Why 80% of opportunities ($3.5M) had no explainable lineage, making pipeline creation effectively invisibleWhy paid search underperformed by driving low-intent traffic instead of pipeline-ready buyersHow marketing influence dropped to near zero in late-stage deals, leaving active opportunities unsupportedWhy win rate, not pipeline volume, was the primary revenue constraintHow improving visibility alone created a clear, estimated ~$1M revenue upside using the existing pipeline and budgetThis episode shows how a clear view into what actually drives revenue became a forcing function for action, giving this team's leadership the confidence to move fast, fix foundational gaps, and use the findings as a business case for planning the first two quarters of 2026.

SaaStr 836: The Step-By-Step Playbook for Building AI-Powered GTM Teams with Personio's CRO Philip Lacor, CRO of Personio, shares his company's journey to building an AI-powered go-to-market motion, including 5 critical lessons learned and 4 real-world use cases delivering measurable results. In this podcast, Philip breaks down: ✅ The 5 lessons for AI transformation: top-down + bottom-up motion, cross-functional teams, prioritization frameworks, building AI culture, and combining great stack with context  ✅ How to build AI-powered workflows that actually work (not just more tools to test)  ✅ Real use cases: Win/loss analysis, expansion SDR assistants, intent scoring, and AI chat ✅ Why their expansion SDRs went from 2 hours of research per day to 15 minutes while doubling pipeline per rep ✅ The truth about AI ROI: where it shows up and how long it takes  ✅ How to get your team excited about AI (not scared of it) Philip doesn't hold back on what's working, what's failed, and what questions they still haven't answered. If you're a CRO, founder, or GTM leader trying to figure out how to actually implement AI beyond the hype, this is the playbook.  --------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr   ---------------------   Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026.    With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year.     But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait.    Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there. --------------------- More from SaaStr: https://www.saastr.com

Most sales teams don't have a training problem.They have a performance decision problem.In this episode of Revenue Leaders, we break down whether sales leaders should invest in underperforming reps, when training actually works, and when it's a waste of time.You'll learn:Why training only works for willing repsThe difference between skill gaps and mindset problemsWhen underperformance is a leadership issueHow top teams invest in performance the right wayIf you manage sales teams or run a GTM function and struggle with inconsistent performance, this episode is for you.⭐ Unlock free resources (templates, frameworks & prompts):https://coachpilot.beehiiv.com/Join the community & access 157+ templates, frameworks and mega AI prompts used by top revenue teams.Watch Full Episode on Youtube: https://youtu.be/wi-ij14-1RY

Why do some go-to-market strategies fall flat while others drive lasting success? In this episode of StrategyCast, learn how to cut through GTM complexity, align teams, and use AI for smarter decisions, so your marketing efforts produce real, reliable impact!And don't forget! You can crush your marketing strategy with just a few minutes a week by signing up for the StrategyCast Newsletter. You'll receive weekly bursts of marketing tips, clips, resources, and a whole lot more. Visit https://strategycast.com/ for more details.==Let's Break It Down==03:52 Decision-Making Breakdown Causes Complexity07:41 SDR Impact on Campaign Success12:35 "AI's Role in Early Strategy"15:25 "Key Skills for Better Execution"17:42 "Integrated Marketing Ecosystem Explained"20:06 "Know Your Buyer"23:35 "Streamlining Decisions with AI"==Where You Can Find Us==Website: https://strategycast.com/Instagram: https://www.instagram.com/strategy_cast/Facebook: https://www.facebook.com/strategycast==Leave a Review==Hey there, StrategyCast fans!If you've found our tips and tricks on marketing strategies helpful in growing your business, we'd be thrilled if you could take a moment to leave us a review on Apple Podcasts. Your feedback not only supports us but also helps others discover how they can elevate their business game!

Jason Lemkin is the founder of SaaStr, the world's largest community for software founders, and a veteran SaaS investor who has deployed over $200 million into B2B startups. After his last salesperson quit, Jason made a radical decision: replace his entire go-to-market team with AI agents. What started as an experiment has transformed into a new operating model, where 20 AI agents managed by just 1.2 humans now do the work previously handled by a team of 10 SDRs and AEs. In this conversation, Jason shares his hands-on experience implementing AI to run his sales org, including what works, what doesn't, and how the GTM landscape is quickly being transformed.We discuss:1. How AI is fundamentally changing the sales function2. Why most SDRs and BDRs will be “extinct” within a year3. What Jason is observing across his portfolio about AI adoption in GTM4. How to become “hyper-employable” in the age of AI5. The specific AI tools and tactics he's using that have been working best6. Practical frameworks for integrating AI into your sales motion without losing what works7. Jason's 2026 predictions on where SaaS and GTM are heading next—Brought to you by:DX—The developer intelligence platform designed by leading researchersVercel—Your collaborative AI assistant to design, iterate, and scale full-stack applications for the webDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Transcript: https://www.lennysnewsletter.com/p/we-replaced-our-sales-team-with-20-ai-agents—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/182902716/my-biggest-takeaways-from-this-conversation—Where to find Jason Lemkin:• X: https://x.com/jasonlk• LinkedIn: https://www.linkedin.com/in/jasonmlemkin• Website: https://www.saastr.com• Substack: https://substack.com/@cloud—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jason Lemkin(04:36) What SaaStr does(07:13) AI's impact on sales teams(10:11) How SaaStr's AI agents work and their performance(14:18) How go-to-market is changing in the AI era(19:19) The future of SDRs, BDRs, and AEs in sales(22:03) Why leadership roles are safe(23:43) How to be in the 20% who thrive in the AI sales future(28:40) Why you shouldn't build your own AI tools(30:10) Specific AI agents and their applications(36:40) Challenges and learnings in AI deployment(42:11) Making AI-generated emails good (not just acceptable)(47:31) When humans still beat AI in sales(52:39) An overview of SaaStr's org(53:50) The role of human oversight in AI operations(58:37) Advice for salespeople and founders in the AI era(01:05:40) Forward-deployed engineers(01:08:08) What's changing and what's staying the same in sales(01:16:21) Why AI is creating more work, not less(01:19:32) Why Jason says these are magical times(01:25:25) The "incognito mode test" for finding AI opportunities(01:27:19) The impact of AI on jobs(01:30:18) Lightning round and final thoughts—Referenced:• Building a world-class sales org | Jason Lemkin (SaaStr): https://www.lennysnewsletter.com/p/building-a-world-class-sales-org• SaaStr Annual: https://www.saastrannual.com• Delphi: https://www.delphi.ai/saastr/talk• Amelia Lerutte on LinkedIn: https://www.linkedin.com/in/amelialerutte/• Vercel: https://vercel.com• What world-class GTM looks like in 2026 | Jeanne DeWitt Grosser (Vercel, Stripe, Google): https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• ElevenLabs: https://elevenlabs.io• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Bolt: https://bolt.new• Lovable: https://lovable.dev• Harvey: https://www.harvey.ai• Samsara: https://www.samsara.com/products/platform/ai-samsara-intelligence• UiPath: https://www.uipath.com• Denise Dresser on LinkedIn: https://www.linkedin.com/in/denisedresser• Agentforce: https://www.salesforce.com/form/agentforce• SaaStr's AI Agent Playbook: https://saastr.ai/agents• Brian Halligan on LinkedIn: https://www.linkedin.com/in/brianhalligan• Brian Halligan's AI: https://www.delphi.ai/minds/bhalligan• Sierra: https://sierra.ai• Fin: https://fin.ai• Deccan: https://www.deccan.ai• Artisan: https://www.artisan.co• Qualified: https://www.qualified.com• Claude: https://claude.ai• HubSpot: https://www.hubspot.com• Gamma: https://gamma.app• Sam Blond on LinkedIn: https://www.linkedin.com/in/sam-blond-791026b• Brex: https://www.brex.com• Outreach: https://www.outreach.io• Gong: https://www.gong.io• Salesloft: https://www.salesloft.com• Mixmax: https://www.mixmax.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• Clay: https://www.clay.com• Owner: https://www.owner.com• Momentum: https://www.momentum.io• Attention: https://www.attention.com• Granola: https://www.granola.ai• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Palantir: https://www.palantir.com• Databricks: https://www.databricks.com• Garry Tan on LinkedIn: https://www.linkedin.com/in/garrytan• Rippling: https://www.rippling.com• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth): https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna• Pluribus on AppleTV+: https://tv.apple.com/us/show/pluribus/umc.cmc.37axgovs2yozlyh3c2cmwzlza• Sora: https://openai.com/sora• Reve: https://app.reve.com• Everything That Breaks on the Way to $1B ARR, with Mailchimp Co-Founder Ben Chestnut: https://www.saastr.com/everything-that-breaks-on-the-way-to-1b-arr-with-mailchimp-co-founder-ben-chestnut/• The Revenue Playbook: Rippling's Top 3 Growth Tactics at Scale, with Rippling CRO Matt Plank: https://www.youtube.com/watch?v=h3eYtzBpjRw• 10 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling): https://www.lennysnewsletter.com/p/10-contrarian-leadership-truths—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In this recap episode, we highlight the best moments from our 2025 interviews and reflect on the ideas that defined the year.Featuring:David Rubenstein (co-founder of Carlyle) - From White House to Wall Street: David RubensteinYamini Rangan (CEO of HubSpot) - HubSpot CEO on the Future of SaaS, AI, & Leading Through ChangeBen Chestnut (co-founder of Mailchimp) - Bootstrapped to 12B: Mailchimp's Ben Chestnut on Life After the ExitWinston Weinberg (co-founder and CEO of Harvey) - I Raised $300M To Bring AI To Laywers | Winston Weinberg & HarveyGarrett Lord (co-founder of Handshake) - The Expert Network Behind Handshake AI's Model Training w/ Garrett Lord & Mamoon HamidAidan Gomez (co-founder and CEO of Cohere) - Synthetic Data and the Future of AI | Cohere CEO Aidan GomezMichelle Zatlyn (co-founder of Cloudflare) - Building Cloudflare for the Next 50 Years | Co-founder Cloudflare Michelle ZatlynEvan Spiegel (co-founder and CEO of Snap) - How Snap Plans to Win the AR Race | Evan Spiegel on SpectaclesConnect with JoubinX: https://x.com/JoubinmirLinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/Email: grit@kleinerperkins.comFollow on LinkedIn:https://www.linkedin.com/company/kpgritFollow on X:https://x.com/KPGrit​Learn more about Kleiner Perkins: https://www.kleinerperkins.com/

When you're working harder than ever and still getting questioned, most leaders assume they're the problem. But what if the real reason you're exhausted isn't lack of effort...it's that you're trying to win inside a model that was never designed to show your impact?This episode is part of a 5-part series exploring the journey B2B revenue leaders take from reactive chaos to finally understanding, measuring, and transforming their entire Revenue Factory. Each stage represents a critical inflection point and the exact moments that separate leaders who consistently hit targets and drive real, provable results… from those who spend every quarter scrambling, duct-taping reports, and wondering why nothing is working.This episode explores Stage 3: The Breaking Point, AKA the most emotionally charged and career-defining moment in the entire transformation journey.What We Cover in This Episode:Why Stage 3 is the moment leaders either break down, or break throughWhy constant scrutiny, unclear reporting, and cross-functional finger-pointing aren't personal failures, but symptoms of a broken data modelThe exact frameworks that explain why you're stuck and what has to change to unlock real revenue clarityWhy duct-taped reporting, activity-based KPIs, and siloed metrics guarantee misalignmentHow top-performing GTM teams rebuild their entire foundation, and why it transforms everything from credibility to win ratesThis is the episode for every revenue, marketing, or GTM leader who has ever thought:I'm exhausted from constantly defending myself.”“I KNOW we're making an impact, so why can't I prove it?”“What if the problem isn't me… but the entire system?”