GTM Hackers

GTM Hackers

GTM Hackers is a podcast that explores the systems, workflows, and strategies behind high-performing go-to-market teams that experience massive growth. Each episode features in-depth conversations with GTM Engineers, RevOps leaders, sales architects, and operators who build the infrastructure that powers scalable revenue. We focus on how leading tech companies actually operate behind the scenes: their data models, processes, AI workflows, and tools — rather than high-level theory.

  1. 3d ago

    5 GEO Hacks to get mentioned by ChatGPT

    How do you get your startup recommended by ChatGPT, Perplexity, and Gemini? In this episode of GTM Hackers, host Charles Brun interviews Mehrab Hojjati Pour, founder of SEO and GEO agency SEOMode, who shares five practical GEO hacks that got a client cited in AI search answers within two weeks. Mehrab explains why SEO is a game you had to start five days ago, and why AI tooling now compresses results that used to take months into weeks. He walks through the exact workflow his agency uses for generative engine optimization, AI search visibility, and traditional SEO. What we cover in this episode: 1. How to find the high-value, bottom-of-funnel prompts your ideal customers ask AI assistants, and why you should target 4 to 10 commercial prompts instead of hundreds of informational ones. 2. How to extract the hidden search queries ChatGPT runs behind the scenes, and how to reuse those exact queries in guest posts and listicles that earn brand mentions and backlinks. 3. A four-agent AI content workflow: research and outline from top-ranking results, article writing with live search access, internal linking chosen by Google itself, and cover generation. 4. The striking distance strategy: using Google Search Console exports and Claude to find pages ranking in positions 6 to 15 and push them to page one with internal links, title rewrites, and content refreshes. 5. How to find the Reddit threads that rank on Google for your keywords, and why Reddit is the most cited source in LLM answers, followed by YouTube and LinkedIn. Mehrab also ranks the AI platforms from easiest to hardest to crack: Grok, Perplexity, and Gemini are the most accessible, ChatGPT sits in the middle, Google AI Overviews require page-one rankings, and Claude is the toughest because it relies on Brave search. About the guest: Mehrab is the founder of SEOMode, an SEO and GEO agency. A software engineer by background, he builds custom rank tracking tools, MCP servers, and agent workflows for AI-assisted SEO at scale. About the host: Charles Brun is a startup founder and GTM leader, and the host of GTM Hackers, the show that goes inside the minds of revenue architects building AI-powered go-to-market systems. What you will learn: generative engine optimization basics, AI search optimization tactics, ChatGPT search query extraction, prompt tracking, guest posting for GEO, internal linking strategy, content freshness, striking distance SEO, Reddit marketing for AI visibility, and how to prioritize GEO versus SEO in your go-to-market strategy. If this episode helps you rethink your growth channels, follow GTM Hackers, leave a rating, and share it with a founder or GTM leader who is still putting off SEO. The episode is sponsored by Everest, the AI assistant that schedules your meetings and syncs your calendars | https://everest.ag/

    51 min
  2. This CRO ripped out Salesforce, and vibe-coded their CRM.

    Apr 24

    This CRO ripped out Salesforce, and vibe-coded their CRM.

    Gabe Larsen, CRO of Atonom, canceled a $40KSalesforce contract with no replacement plan and built a working CRM in 3 hours using Lovable. This is the full story plus his playbook on AI SDRs and the autonomous organization. In Episode 13 of GTM Hackers, host Charles Brun sits down with Gabe Larsen to unpack two of the most talked about shifts in go to market today. First, the rise of the autonomous organization where AI cloud employees work side by side with humans. Second, the bold decision to rip out Salesforce and vibe code a custom CRM using Lovable. Gabe brings 20 plus years of GTM experience from Goldman Sachs, Accenture, Inside Sales.com, and Customer (acquired by Meta). He now leads revenue at Atonom, a startup building the cloud employee category across marketing, sales, customer success, support, and HR. What you will learn in this episode: 1. Why the traditional model of scaling with headcount and tools is dead, and what is replacing it. 2. How to think about AI SDRs as employees rather than tools or cost per conversation. 3. The full 4 step onboarding process Atonom uses for every new AI cloud employee, covering identity, memory, tools, and role play. 4. Why multi agent architectures beat deterministic workflow tools like Make and N8N for complex GTM jobs. 5. The real world performance of AI SDRs on inbound lead qualification, including a case study with a 1000 percent improvement in lead response time. 6. Why cold outbound AI SDRs are failing and what signal based selling with cloud employees looks like instead. 7. The hot, warm, and cold framework for AI in GTM motion. 8. The exact moment Gabe decided to cancel Salesforce and why his whole team was relieved. 9. How his CFO and head of finance built the first version of the new CRM in 3 hours over root beers in Salt Lake City. 10. Why the maintenance argument against vibe coded CRMs is overblown. 11. The benefits of a conversational CRM over traditional reporting. 12. Why Gabe never signs SaaS contracts longer than 12 months. Discussion topics covered: Autonomous organization and frontier firms Cloud employees and AI SDR architecture Multi agent systems and supervisor agents AI employee onboarding and coaching loops Inbound vs outbound AI SDR performance Signal stacking and de anonymized website visitor handoffs Hot, cold, and warm lead handling with AI The 3 day inbound conversion rule Customer service AI and NPS performance data Ripping out Salesforce at a startup Vibe coding with Lovable Conversational CRM as the new interface Build vs buy decisions for modern GTM stacks AI adoption mistakes most GTM teams are making Guest: Gabe Larsen is the CRO of Atonom, host of the Talk AI podcast, and a veteran GTM operator with leadership experience at Customer (Meta), Inside Sales.com, Accenture, and Goldman Sachs. Host: Charles Brun is the host of GTM Hackers, a B2B video podcast focused on AI powered go to market strategies. He is also the founder and CEO of Everest. If you are a founder, CRO, VP of Sales, GTM engineer, RevOps leader, or operator thinking about AI adoption, this conversation delivers both the big picture vision and the tactical details you need. Follow GTM Hackers, rate the show, and share this episode with a GTM operator who needs to hear it. New episodes drop weekly. Related topics: AI in sales, AI SDR, vibe coding, replacing Salesforce, autonomous organization, GTM engineer, agentic AI, cloud employees, RevOps, conversational CRM, build vs buy, AI adoption, signal based selling, Lovable, no code CRM.

    52 min
  3. How to Build a Full SaaS App with AI Agents While You Sleep

    Mar 31

    How to Build a Full SaaS App with AI Agents While You Sleep

    A Google AI engineer built a fully functional Slack clone in 14 days using Claude Code — without manually writing or editing a single line of code. In this episode, Nathan shares the full story. Nathan is an AI Engineer at Google who works with the company's largest enterprise customers to build generative AI solutions. He issued himself a public challenge: clone Slack in two weeks using only vibe coding and AI agents. He did it. The project — called Slawk — is open source, already has 250 GitHub stars, and has sparked a wide debate about the future of software engineering. In this conversation with GTM Hackers host Charles Brun, Nathan and Charles break down exactly how it was built, what went wrong, what surprised him, and what it all means for founders and GTM leaders thinking about AI-powered product development. What we cover in this episode: 1. Why Nathan decided to clone Slack as his side project challenge 2. The tech stack he chose and how he planned the architecture with Claude 3. How he used a browser-connected MCP agent to visually compare and clone Slack's UI 4. The 3-agent system he built: QA agent, Dev agent, and CTO orchestrator 5. How the QA agent filed GitHub issues with GIF screenshots — automatically — while Nathan slept 6. Test-driven development in a vibe coding workflow 7. The real cost of the project (under $200 total) 8. Why cloud infrastructure solves most scalability concerns critics raised 9. Why MCP servers make traditional app integrations obsolete 10. Nathan's vision for an AI-native Slack and why incumbents can't build it 11. The identity crisis behind anti-AI pushback in the software engineering community 12. Nathan's next project: QA as a Service Nathan's key argument: only 1% of people can currently build software because they need to know how to code. Vibe coding is about to change that ratio dramatically. And the companies that figure this out first will have a significant competitive advantage. If you are a founder, a GTM leader, or a builder exploring AI tools, this episode is one of the most practical and honest accounts of what vibe coding can actually do in 2025. Find Nathan on LinkedIn — he replies to everyone in DMs. The Loc GitHub repository is linked in the show notes. GTM Hackers is hosted by Charles Brun, a B2B SaaS go-to-market advisor and founder with 15 years of experience scaling revenue with AI. Follow GTM Hackers on Spotify to get notified of new episodes every week. Related topics: Claude Code, vibe coding, agentic AI, multi-agent workflows, AI software engineering, Slack alternatives, open source tools, SaaS cost reduction, AI for startups, go-to-market AI strategy, MCP server, model context protocol, AI QA testing, building in public, AI product development.

    47 min

  4. Mar 5

    This CRM Wizard shares what it takes to scale GTM efficiently

    In many startups, go-to-market breaks when the team scales: more tools, more handoffs, more chaos. In this episode of GTM Hackers, Charles Brun sits down with Christian Lim, co-founder of Youno, to explain a more durable approach: start by building GTM infrastructure that is easy to maintain, then layer automation and AI agents on top. You will learn: Why tool sprawl creates a maintenance tax that slows teams downHow API-first choices make your GTM stack more resilient over timeThe two common GTM failure points: misalignment and messy CRM dataHow CRM deduplication and enrichment improve outbound execution and forecastingHow simple AI classification prompts can keep data structured (for example, company size)How a Slack-native assistant can help reps find prospect details fasterA practical workflow to automate weekly client updates using Dust and ClickUp8) How to drive AI adoption with one internal champion and one high-impact workflowGuest: Christian Lim (Youno) Host: Charles Brun

    40 min

  5. Feb 25

    This vibe coded app became viral in their company.

    Vibe coding is changing go to market faster than most SaaS teams realize. In this GTM Hackers episode, Charles Brun sits down with Noy Peleg and Sivan Butnaro  from Via to unpack how two non-developers built an internal app called Vira that replaced messy spreadsheets, synced with Jira, and is now saving teams hundreds of hours per week. If you’re a founder, GTM leader, RevOps operator, program manager, or anyone trying to understand what AI means for internal tooling and GTM, this episode is a masterclass in starting from pain, shipping fast, and building adoption inside a real company.

    59 min

  6. Feb 18

    He automates ICP scoring using Clay & AI workflows.

    AI in go-to-market isn’t a magic shortcut. It’s a precision engine, but only if your fundamentals are right. In this episode of GTM Hackers, Charles Brun sits down with Stephen Bates, Founder of Cabot Insights, to unpack what actually works when startups try to implement AI, automation, and GTM engineering. They break down why most viral automation workflows fail in the real world. Teams move too fast, skip ICP definition, ignore data quality, and expect tools to fix broken foundations. Stephen shares how his team uses Clay and LLMs to enrich accounts, capture intent signals, and score ICP fit at scale, while keeping human judgment and feedback loops in the system so reps actually use the output. Key discussion points: - Why rushing AI adoption creates long term GTM problems - Crawl before you run: data hygiene, CRM quality, and ICP clarity first - How Clay enables micro segmentation, enrichment, and ICP scoring at scale - Prompting strategy: specificity, strict outputs, and auditability for trust - How to detect intent signals using real account signals - Choosing models by ROI: lower cost scoring vs higher quality email generation - Adoption and reinforcement: weekly AE feedback loops and enablement Guest:Stephen Bates is the Founder of Cabot Insights, a GTM engineering agency helping high growth startups implement AI automation to improve outbound efficiency and lead quality. Stephen Bates brings experience from enterprise sales and the startup ecosystem, with a strong focus on ICP rigor and measurable ROI. Follow GTM Hackers, share this episode with a GTM leader, and leave a rating if you want more deep dives on AI for go-to-market.

    56 min

  7. Feb 13

    He Uses This 90-Day Sprint Framework To Accelerate Revenue

    He uses this 90-day sprint framework to accelerate revenue🚀 What happens when a proven go-to-market strategy meets AI-powered automation? Spencer Tahil, founder of Growth Alliance, breaks down the exact 90-day sprint framework he uses to take early-stage startups from zero infrastructure to a fully operational, revenue-generating machine — with just two people.In this episode of GTM Hackers, Spencer pulls the curtain back on how he's helped Series A and Series B startups accelerate their sales pipeline, eliminate CRM chaos, and build scalable AI workflows — all while charging a premium and working his way out of a job in under six months.This isn't theory. This is a data-driven, battle-tested playbook from someone who's been inside the trenches of startup scaling for years.📌 WHAT YOU'LL DISCOVER IN THIS EPISODE🔹 The 3-sprint system Spencer uses to turn startup chaos into predictable revenue in 90 days🔹 Why most founders are buying AI tools for the wrong reasons — and how to stop wasting budget🔹 The #1 mistake killing startups before they even find product market fit🔹 How internal misalignment quietly destroys go-to-market momentum (and how to fix it)🔹 The real difference between "unorganized chaos" and "organized chaos" in startup life🔹 How Spencer runs 4 clients simultaneously with a team of just 2 — and delivers real results🔹 Why the smartest revenue operations leaders are designed to get fired🔹 The essential role of the go-to-market engineer and why it's the hottest position in SaaS right now⏱️ TIMESTAMPS0:00 — Intro & Welcome1:00 — Who Is Spencer Tahil & What Is Growth Alliance2:30 — How to Prioritize GTM Initiatives by Startup Stage5:00 — Testing Strategies Without Losing Revenue7:00 — Risk Tolerance, Investor Pressure & Realistic Goals9:00 — The 90-Day Sprint Framework Breakdown12:00 — Sprint 1: CRM Audit & Building Infrastructure14:00 — Sprint 2: Stress Testing & Gathering Data16:00 — The PMF Reality Check — When to Pivot vs. Scale18:00 — Why Internal Alignment Is Everything21:00 — Unorganized Chaos vs. Organized Chaos in GTM23:00 — Clay.com, GTM Engineering & The Future of Outbound25:00 — Passing the Baton: Who Takes Over After You Leave?28:00 — The Go-To-Market Engineer Role Explained30:00 — Real Failures: Buying Tools Instead of Strategy34:00 — How to Define Objectives, Activities & Desired Outcomes39:00 — Inside a Real Client Engagement Roadmap46:00 — How a 2-Person Team Runs 4 Startups at Once49:00 — Pricing, ROI & How to Pitch to Founders52:00 — The #1 Mistake Consistently Killing Startups55:00 — Final Thoughts & How to Connect with Spencer👤 ABOUT THE GUESTSpencer Tahil is the founder of Growth Alliance, a revenue activation consultancy specializing in AI-powered go-to-market engineering for high-growth startups. With years of experience in HubSpot, Salesforce, and marketing operations, Spencer helps Series A and B companies build scalable outbound sales systems, automate CRM workflows, and turn messy tech stacks into revenue machines. Find him on LinkedIn and YouTube.👤 ABOUT THE HOSTCharles Brun is a SaaS founder with 12+ years of experience scaling go-to-market teams. GTM Hackers is his show dedicated to interviewing revenue architects and uncovering the systems, tools, and strategies behind winning outcomes.💬 GOT THOUGHTS? Drop a comment below — we'd love to hear:👉 Are you using a sprint framework in your startup? What's working?👉 What's the biggest GTM challenge you're facing right now?🔔 Subscribe to GTM Hackers so you never miss an episode. Hit that notification bell!🔗 CONNECT & RESOURCESSpencer Tahil → LinkedIn: linkedin.com/in/spncertahilGrowth Alliance → YouTube:    / @growthalliance  Charles Brun → LinkedIn: linkedin.com/in/charlesbrunGTM Hackers → YouTube:    / @gtmhackers  #GoToMarketStrategy #StartupGrowth #AIAutomation #RevenueOperations #GTMHackers

    57 min

  8. Feb 13

    This GTM Engineer Turned Cold Outreach Into a Scalable Machine.

    AI-Powered GTM Engineering: How to Scale Revenue Without Overcomplicating Your StackAI-powered GTM engineering is changing how modern sales teams scale revenue — but most founders are doing it wrong. In this episode of Go To Market Hackers, we break down how to build high-ROI go-to-market systems using AI, automation, and outbound strategy without falling into the trap of over-engineered workflows.🎙️ Host Charles Brun sits down with Jorge Macias, founder of The GTM Engineering Company and former enterprise AE, to reveal what actually works in AI-driven go-to-market strategy, cold outreach, CRM automation, and revenue operations.🚀 What You’ll Learn in This EpisodeThis conversation goes beyond theory and dives into proven, real-world GTM execution, including: How AI is reshaping B2B sales automation and outbound prospectingWhy complex GTM workflows often reduce ROI instead of increasing itThe right way to inject AI into your go-to-market motionHow to scale cold outreach without destroying deliverabilityWhy “GTM porn” on LinkedIn is misleading foundersHow top GTM engineers prioritize speed, simplicity, and leverageThe difference between workflows that look impressive vs. ones that drive revenueHow to avoid single points of failure in RevOps and GTM systemsIf you’re a founder, RevOps leader, GTM engineer, or sales operator, this episode will help you discover a simpler, smarter way to scale revenue with AI.⏱️ Timestamps / Chapters00:00 – What GTM Engineering Really Means02:45 – From Sales Rep to GTM Engineer05:20 – Why Most AI GTM Strategies Fail08:10 – Cold Outreach, Domain Warming & Deliverability11:30 – Simple vs Complex Workflows (ROI Breakdown)15:40 – Managing Founder Expectations in GTM18:30 – The Truth About “GTM Porn” on LinkedIn21:00 – Bundling Steps & Reducing Workflow Fragility25:10 – AI, Vibe Coding & the Future of GTM Engineering28:00 – Documentation, Training & Avoiding Single Points of Failure💡 Key Highlights & Takeaways✅ AI in go-to-market is no longer optional — but strategy matters more than tools✅ Simple workflows often outperform complex automations✅ Cold outbound still works when done systematically and ethically✅ GTM engineering is about leverage, not complexity✅ Founders should optimize for ROI, not visual impressiveness✅ Training and documentation are essential for scalable RevOps👤 Guest & HostJorge MaciasFounder, The GTM Engineering Company (https://www.gtm-engineering.io)Former SDR → AE → Enterprise AE with 10+ years in B2B sales, automation, and go-to-market engineering. Jorge specializes in AI-powered outbound systems, CRM enrichment, and scalable GTM workflows.Charles BrunFounder, Wizardly & Host of GTM Hackers podcast (https://trywizardly.com)Startup founder with 10+ years of experience scaling GTM teams at VC-backed companies, focused on revenue systems, RevOps, and AI-driven growth.📌 Who This Episode Is ForB2B founders & startup operatorsRevenue Operations & Sales Ops leadersGTM engineers & automation buildersAI-curious sales teamsAnyone scaling outbound, inbound, or RevOps systems🔔 Call to Action👉 Subscribe for weekly deep dives into GTM engineering, AI, RevOps, and revenue systems👍 Like if you want more practical, no-BS GTM content💬 Comment with your biggest GTM challenge or AI workflow question🔗 Resources & Links🎧 Listen to more episodes of Go To Market Hackers📈 Follow for GTM, RevOps & AI growth insights🤝 Interested in GTM engineering? Reach out to connect🧠 Keywords & Topics CoveredAI GTM engineering, go-to-market strategy, GTM automation, B2B sales automation, revenue operations, RevOps workflows, cold outreach strategy, AI sales tools, CRM automation, outbound sales, GTM engineer, AI in sales, scalable GTM systems, sales process optimization, startup growth strategy

    46 min
See All (14)

About

GTM Hackers is a podcast that explores the systems, workflows, and strategies behind high-performing go-to-market teams that experience massive growth. Each episode features in-depth conversations with GTM Engineers, RevOps leaders, sales architects, and operators who build the infrastructure that powers scalable revenue. We focus on how leading tech companies actually operate behind the scenes: their data models, processes, AI workflows, and tools — rather than high-level theory.

Information

  • Creator
    GTM Hackers
  • Years Active
    2K
  • Episodes
    14
  • Rating
    Clean
  • Copyright
    © GTM Hackers
  • Show Website
    GTM Hackers