Podcasts about HubSpot

I take Perplexity Computer for its first real spin and test five use cases that founders can use right now to make money and move faster. I connect my Gmail live, let the AI send cold outreach on my behalf, set up daily competitive intelligence monitoring, research 50 VCs for a mock Series A, and kick off a full investment memo on Shopify, all in a single session. By the end, I walk away genuinely impressed and convinced the $200/month Max plan can pay for itself with one closed deal. Timestamps 00:00 – Intro 00:35 – What We're Testing Today 02:35 – Use Case 1: Warm Outbound at Scale 15:31 – Use Case 2: Automated Competitive Intel 25:11 – Use Case 3: Investor Pipeline Research (50 VCs) 26:58 – Use Case 4: Turn a Podcast Into a Content Machine 31:39 – Use Case 5: Live Market Diligence (Shopify Investment Memo) 34:17 – Bonus: Additional Use Cases Worth Trying 36:06 – Closing Thoughts and Takeaways Key Points Perplexity Computer runs multiple research tasks in parallel using sub-agents, skills, and tools — functioning like a virtual analyst working across the open internet. The cold outreach workflow found real email addresses, researched each prospect's recent activity, and drafted hyper-personalized emails that reference specific details — then sent them through a connected Gmail account. Setting up recurring competitive intelligence monitoring (daily reports, weekly sponsor tracking) is where the tool shifts from a one-off assistant to a persistent agent running on autopilot. The VC pipeline research use case demonstrates how founders who lack a warm network can still build a structured, targeted investor list with fund sizes, thesis alignment, and partner contacts. At $200/month on the Max plan, the cost pays for itself if even one sponsorship deal or investor meeting closes from the outreach. The platform already supports connectors for Gmail, Google Drive, Slack, HubSpot, Ahrefs, Reddit, and more — making it a serious contender for centralized founder workflows. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Mason Cosby connects with Putney Cloos, the Chief Marketing Officer at Bombora, to clarify exactly what intent data is and how revenue teams should use it. While many marketers view intent data strictly as a tool for sales prioritization, Putney argues that the use cases go much deeper. She explains the difference between first-party data collected from owned properties and third-party data gathered from across the web.ㅤA major focus of the conversation is data provenance. Putney highlights a critical but often overlooked question: Does your data provider actually have the right to use the data they sell? She details how Bombora uses a proprietary tag within a data co-op to ensure consent is explicitly granted for intent tracking.ㅤMason and Putney also explore how to operationalize this data without buying a massive, all-in-one platform. They discuss the "unbundled" ABM stack, where data is ported directly into the tools teams already use, such as CRMs, CDPs, or advertising platforms like The Trade Desk and LinkedIn.ㅤGuest BioPutney Cloos is the Chief Marketing Officer at Bombora, where she leads marketing and communications to expand the company's "Data Co-op" and intent data solutions. She previously served as CMO at Cision, where she built the company's first account-level data strategy. Putney also spent nearly a decade at American Express, rising to Vice President of Commercial Demand Generation and creating Amex's first commercial demand-generation and ABM capabilities. She holds an AB from Harvard College and an MBA from the Kellogg School of Management.ㅤWhat We CoverDefining intent data: Putney clarifies that intent is behavioral data showing when a company is actively researching a solution, distinct from static firmographic data.First-party vs. third-party signals: The difference between tracking known visitors on your own site versus capturing research behaviors across the broader B2B internet.The importance of data rights: Why marketers must ask if their provider has explicit consent to use data for intent purposes, rather than relying on repurposed bidstream data.Reducing customer churn: How customer success teams use intent signals to spot when current clients start researching competitors before the renewal conversation happens.Informing the product roadmap: Using search behavior to identify unmet market needs or features that prospects are actively seeking.The unbundled tech stack: How to deploy intent data directly into existing platforms like Salesforce, HubSpot, or programmatic ad exchanges without needing a standalone ABM platform.Start simple: Putney's advice to pick one specific use case—like sales prioritization—and master it before adding...

This episode is brought to you by B2B Better. Richard cut CAC by 27% by ditching billboards and investing in owned content — podcasts, videos, and customer interviews that actually moved the needle. That's exactly the kind of content engine we help B2B service businesses build. If you want a podcast that drives pipeline, not just downloads, visit b2bbetter.com. If you think B2B buying is purely rational, this episode is your wake-up call. In this episode of Pipe Dream, host Jason Bradwell sits down with Richard Dedor, Senior Client Strategist at Vericast, to unpack what a decade of B2C financial services marketing can teach B2B marketers about differentiation, storytelling, and cutting through a commoditised market. Richard's core point is clear: stop overthinking your product and start understanding the emotion behind the buying decision. Every purchase — whether it's a checking account or a six-figure SaaS contract — starts with a pain point. The businesses that win are the ones that lean into that pain and make the buyer the hero. The cheeseburger analogy says it all. McDonald's, In-N-Out, Wendy's — they're all selling the same thing but winning different customers by knowing exactly who they're for. B2B is no different. You don't need a revolutionary product. You need a sharper story built around the right ingredients for the right target market. The conversation gets tactical on CAC reduction. Richard's team cut acquisition costs by 27% by reallocating budget away from vanity spend — billboards chief among them — and investing in owned content instead. Podcasts, videos, webinar series, and customer interviews that spoke directly to real pain points. A billboard reaches everyone and no one. A customer interview that mirrors exactly what a prospect is feeling reaches the right person at the right moment. For B2B marketers dealing with long sales cycles and buying committees, hold the macro message steady and pivot the micro-messaging for each stakeholder in the room. And when compliance is standing between you and a good idea, make them your second-best friend — walk them through the concept one friction point at a time and help them get themselves to yes. People buy with emotion. Even in B2B. Especially in B2B. That's what you should be tapping into. Chapter Markers 00:00 - Introduction: Richard Dedor and a decade in B2C financial services 02:00 - The cheeseburger analogy: differentiation in commoditised markets 04:00 - Growing brand awareness by 50% and bridging it to conversion 06:00 - In-market moments and rare switching windows in financial services 08:00 - What B2B marketers should steal from the consumer playbook 09:00 - Micro-messaging pivots within a stable macro message 10:00 - Cutting CAC by 27%: stop spending on billboards 11:00 - Investing in owned content: podcasts, videos, and customer interviews 13:00 - Testing, killing, and doubling down on what works 14:00 - Working in regulated environments: making compliance your ally 16:00 - How to present ideas to legal and compliance teams 18:00 - Walking compliance through friction points one step at a time 20:00 - The one thing B2B companies get wrong about differentiation 22:00 - People buy with emotion — even in B2B Useful Links Connect with Jason Bradwell on LinkedIn Connect with Richard Dedor on LinkedIn Visit Richard Dedor's website Read Richard's writing on HubSpot and Medium Explore B2B Better and the Pipe Dream Podcast

W 194 odcinku podcastu Business Marketer podpowiem jak budować skuteczne treści metodą klastrów treściowych.Klastry treściowe pomagają tworzyć treści skupione wokół wybranego zagadnienia, aby ułatwić nam spozycjonowanie się jako marka ekspercka.Klaster składa się z centralnej strony, ztw pillar page i treści bardziesz szczegółowych.W erze rekomendacji AI ważną częścią klastra treściowego są treści, które umieszczamy poza naszą stroną (blogiem) takie jak: sieci społecznościowe, podcasty, YouTube itp. Spójność tych treści jest ważnym czynnikiem ułatwiającym nam bycie zarekomendowanym przez narzędzia AI.W tym odcinku dowiesz się między innymi:Jak działa klaster treściowyJak wybrać odpowiednie zagadnienie do klastrów treściowychJak zacząć budowę pierwszego klastra treściowegoJakich błędów uniknąćPolecam Ci też artykuły na temat Pillar Pages i klastrów treściowych autorstwa HubSpot:https://blog.hubspot.com/marketing/topic-clusters-seohttps://academy.hubspot.com/lessons/creating-topic-clusters-and-pillar-pages Po więcej materiałów o marketingu B2B zapraszam na mój blog: https://businessmarketer.pl Partnerem dzisiejszej audycji jest Instytut Monitorowania Mediów, dostawca innowacyjnego panelu badawczego IMMrank do analizy medialności marek w Polsce, mierzące także wartość ich ekspozycji w formule benchmarku. IMM Rank to: Ogromna skala: Codzienny monitoring ponad 1800 tytułów prasowych, 350 stacji radiowych i TV, 420 tys. portali, forów i blogów oraz ponad 16 mln publicznych profili w mediach społecznościowych. Analiza 360°: Narzędzie bada widoczność marki zarówno w przestrzeni informacyjnej, jak i reklamowej. Badanie medialnej siły marek obejmuje nie tylko treść przekazów ale także obraz, video i audio, w tym foniczną warstwę ponad 300 najbardziej popularnych w Polsce podcastów. Precyzja: Wszystkie dane są kodowane według autorskiego modelu analitycznego IDEAS. Wynik: Dowiesz się, jaka jest realna wartość ekspozycji Twojej marki i jak wypadasz na tle konkurencji. Zobacz jak rośnie Twoja marka na stronie: https://immrank.com/ Możesz też bezpłatnie zgłosić markę do badania. Masz pomysł na odcinek podcastu? Napisz do mnie: lukasz.kosuniak@businessmarketer.pl...

Hey CX Nation,In this week's episode of The CXChronicles Podcast #278, we welcomed Ryan Wang, Co-Founder & CEO of Assembled based in San Francisco, CA.Industry leaders like Etsy, Robinhood, and Stripe trust Assembled to provide customer-facing AI agents and workforce planning at scale. Assembled automatically resolves millions of interactions through chat, email, and phone while optimizing staffing for hundreds of thousands of support professionals. Their mission is to elevate customer support through AI-powered software that makes life easier for customers and employees.In this episode, Ryan and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team think through on a daily basis to build world class customer experiences.**Episode #278 Highlight Reel:**1. Building a high-performing team in the AI age 2. Shift towards AI-driven skill sets in the workforce 3. Creating a culture of continuous learning  4. Focusing on customer feedback early & often 5. Keeping your team lean & flexible as you scale Click here to learn more about Ryan WangClick here to learn more about AssembledHuge thanks to Ryan for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & contact center space into the future. For all of our Apple & Spotify podcast listener friends, make sure you are following CXC & please leave a 5 star review so we can find new members of the "CX Nation". You know what would be even better?Go tell your friends or teammates about CXC's custom content, strategic partner solutions (Hubspot, Intercom, & Freshworks) & On-Demand services & invite them to join the CX Nation, a community of 15K+ customer focused business leaders!Want to see how your customer experience compares to the world's top-performing customer focused companies? Thanks to all of you for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

This episode is brought to you by B2B Better. Ross helps businesses prove that their marketing is driving revenue — and that's exactly the problem we help B2B service businesses solve with video-first podcasts. We build content systems that don't just generate attention, they generate pipeline your sales team can actually point to. Visit b2bbetter.com to see how we do it differently. Your thought leadership campaign is running. People are watching, listening, and engaging — but when your CFO asks if it's actually driving revenue, you've got nothing to say. In this episode of Pipe Dream, host Jason Bradwell sits down with Ross Breckenridge, Managing Director of Breckenridge and HubSpot Platinum Partner, to tackle the attribution problem that almost every B2B marketing team has but nobody wants to admit. Ross's core point is clear: this isn't a marketing problem. It's a business problem. Until your marketing, sales, and customer success teams are operating from a single unified strategy and a single tech stack, you'll never get the visibility you need. The conversation starts where Ross always starts with clients: customer journey mapping. Before you touch an attribution model, you need to understand where each content asset sits in the buying process — lead gen, nurture, sales enablement, or renewals. Most companies skip this step and end up measuring the wrong things entirely. From there, Ross unpacks the dark funnel and explains why the HubSpot Campaigns tool is the home of the marketer's attribution reporting. Bundle your content assets into one campaign, track who was created as a new contact and who was simply influenced along the way, and map that all the way through to closed-won revenue — including renewals that happen two years after someone first engaged. But none of it works if sales is living in a different system. The connection between content and revenue only becomes visible when marketing, sales, and customer success are using the same tools and held to the same SLAs. One client found that leaving a lead for more than 48 hours dropped their conversation rate from 70% to 20%. That kind of clarity only exists when everyone is looking at the same data. If you're tired of defending your content budget with correlation and vibes, this episode gives you the framework to fix it for good. Chapter Markers 00:00 - Introduction: Ross Breckenridge and Breckenridge Agency 02:00 - HubSpot onboarding, integrations, and the RevOps focus 04:00 - Is attribution a tools problem, a strategy problem, or the wrong metrics? 05:00 - Customer journey mapping as the foundation of all attribution 06:00 - Picking one attribution model and staying consistent 08:00 - The dark funnel: what it is and how HubSpot brings it to light 10:00 - Content-sourced vs content-influenced pipeline: the key difference 11:00 - The HubSpot Campaigns tool as the marketer's attribution home 13:00 - Connecting content consumption to leads, deals, and closed revenue 15:00 - Why attribution is a business problem, not a marketing problem 16:00 - Building the business case to get sales and CS on the same page 17:00 - SLAs, shared accountability, and the 48-hour lead follow-up rule 19:00 - Working in silos vs being more than the sum of your parts 21:00 - AI, buyer research, and why being genuinely helpful never changes 23:00 - Where to find Ross and learn more about Breckenridge Useful Links Connect with Jason Bradwell on LinkedIn Connect with Ross Breckenridge on LinkedIn Visit Breckenridge — HubSpot Platinum Partner and RevOps specialists Email Ross directly at ross@breckenridgeagency.com Explore the HubSpot Campaigns tool for attribution reporting Explore B2B Better website and the Pipe Dream podcast

AI is shifting from assistant to teammate — and that changes everything. In this episode of Today in Tech, Keith Shaw sits down with Karen Ng, EVP of Product at HubSpot, to break down what “hybrid AI teams” actually are, how companies are deploying AI agents alongside humans, and what that means for your day-to-day work. You'll hear why hybrid teams are more than just “using AI tools,” how organizations should onboard agents like new hires, and why governance, guardrails, and trust are the difference between real adoption and risky chaos. Karen shares practical examples (including AI resolving a majority of support tickets), plus a simple three-phase blueprint for getting started: clean your data, focus humans on what they do best, and automate the right tasks. If you're wondering whether AI agents will count as headcount, how much autonomy is too much, and what skills matter beyond prompt engineering — this conversation is your roadmap. In this episode: What a hybrid human + AI team really looks like “Supercharged humans” vs. basic AI usage Where agents work best (and where risk spikes) Onboarding, observability, and human-in-the-loop guardrails Trust, outcomes, and why AI doesn't need to be perfect to be valuable What employees should do now to stay ahead

 Partnership marketing requires more than co-branded campaigns.In this Belly2Belly episode, Bill Kenney talks with Christi Williams from ‪HubSpot about defining a joint value proposition, aligning on shared KPIs, clarifying swim lanes, and building recurring partnership frameworks that drive measurable growth.Christi shares practical advice on verticalization, accountability, and avoiding the “one-and-done” trap in ecosystem marketing.Christi Williamshttps://www.linkedin.com/in/christikeating/ ---Feel free to contact us with any questionsBill Kenney, bill@meetroi.comMEET, https://meetroi.com/ 

In this episode of Marketing Sucks, Amanda Casinha and Phil Ginther dismantle some of the most repeated marketing advice that sounds smart but quietly kills revenue.They break down three of the biggest offenders: “educate, don't sell,” “build trust before asking for money,” and “just give value,” and explain why these one-liners work for massive brands but actively sabotage small and mid-sized businesses.Using real-world examples from brands like HubSpot and Skims, Amanda and Phil unpack the difference between long-term brand trust and cash-flow reality, why education without selling creates non-buying audiences, and how clarity, directness, and confidence drive conversions far more effectively than vague value-based content.If you've been posting consistently, “adding value,” and still wondering where the sales are, this episode explains exactly why.What You'll Learn:✔ Why “educate, don't sell” is incomplete advice✔ How value-only content creates non-buyers✔ The difference between brand trust and revenue generation✔ Why big brands can afford long sales cycles and you can't✔ How Skims sells without over-educating✔ Why selling from day one is not unethical✔ How education should support your offer, not replace it✔ What actually builds trust with modern audiences✔ Why vague CTAs kill conversions✔ How to sell without sounding salesy✔ The fastest way to find leaks in your content and funnels✔ What to audit if your engagement is high but sales are lowConnect With UsFor behind-the-scenes clips, hot takes, and conversations we don't always have time for on the mic, follow us on Instagram @grindsocialmedia.If you've been listening for a while, leaving a quick review helps more business owners find the show and stop wasting money on marketing that doesn't work.Thanks for listening and thanks for being part of this community.—

In this episode of the Grow A Small Business Podcast, host Troy Trewin interviews Gail Kasper, founder of Gail Kasper LLC, shares her journey from being fired and starting with no money to building a thriving speaking and training business. She reveals how authenticity became her competitive edge and how mastering professional sales transformed her income from free gigs to $25,000 keynotes and $600K contracts. Gail breaks down the power of referrals, structured sales systems, and strong core values in scaling sustainably. She also opens up about leadership lessons, hiring mistakes, and the mindset required to handle setbacks. This conversation is packed with practical insights for entrepreneurs who want real business success without losing who they are. Why would you wait any longer to start living the lifestyle you signed up for? Balance your health, wealth, relationships and business growth. And focus your time and energy and make the most of this year. Let's get into it by clicking here. Troy delves into our guest's startup journey, their perception of success, industry reconsideration, and the pivotal stress point during business expansion. They discuss the joys of small business growth, vital entrepreneurial habits, and strategies for team building, encompassing wins, blunders, and invaluable advice. And a snapshot of the final five Grow A Small Business Questions: What do you think is the hardest thing in growing a small business? According to Gail Kasper of Gail Kasper LLC, the hardest thing in growing a small business is dealing with failure and having the resilience to keep going despite repeated setbacks. She explains that as an entrepreneur you get "hit in the face" many times through failed projects, wrong decisions, or ideas that don't take off, and the real challenge is not letting those moments stop you. Instead of quitting, she believes the key is to keep pushing forward, learn from mistakes, take action, and stay committed even when things feel uncertain or discouraging. What's your favorite business book that has helped you the most? According to Gail Kasper, her favorite business book that has helped her the most is Atomic Habits by James Clear. She values its focus on small, consistent disciplines rather than just chasing big end goals, emphasizing that daily incremental improvements create real momentum. For Gail, the book reinforces that tiny wins build confidence, strengthen habits, and ultimately drive long-term business success. Are there any great podcasts or online learning resources you'd recommend to help grow a small business? According to Gail Kasper, she recommends podcasts and learning resources that strengthen mindset, sales, and brain-based performance, including Huberman Lab for its science-backed insights on stress and peak performance, and The Ed Mylett Show by Ed Mylett for its focus on growth, vulnerability, and high-level thinking. She values resources that blend psychology, communication, and practical application, believing that understanding how people think—especially in sales and leadership—gives small business owners a strong competitive edge. What tool or resource would you recommend to grow a small business? One highly recommended tool that Gail Kasper often points small business owners toward is HubSpot CRM, because it helps organize leads, track sales activity, automate follow-ups, and manage customer data in one place — all without needing a big tech team. Gail emphasizes that having a system that captures conversations, schedules reminders, and analyzes what's working versus what's not can dramatically improve consistency in sales and client relationships, which is essential for growth. If you're just getting started, HubSpot's free tier gives you powerful CRM basics, and you can scale into its marketing and automation tools as your business expands. What advice would you give yourself on day one of starting out in business? According to Gail Kasper, the advice she would give herself on day one of starting out in business is simple: move and take action. When she was suddenly on her own with no money in the bank, she learned that inaction is the real danger, not mistakes. She would remind herself to stay logical instead of emotional, keep pushing forward even when uncertain, and allow herself to fall and learn along the way, because consistent action is what ultimately creates momentum and success.   Book a 20-minute Growth Chat with Troy Trewin to see if you qualify for our upcoming course. Don't miss out on this opportunity to take your small business to new heights! Enjoyed the podcast? Please leave a review on iTunes or your preferred platform. Your feedback helps more small business owners discover our podcast and embark on their business growth journey.     Quotable quotes from our special Grow A Small Business podcast guest: Authenticity is the foundation of confidence and the gateway to real growth - Gail Kasper Failure is not the signal to stop, it is the signal to adjust and move forward - Gail Kasper Failure is not the signal to stop, it is the signal to adjust and move forward - Gail Kasper      

In this episode of the CPQ Podcast, we sit down with Dustin Anglen, Strategic Partnerships Manager at PandaDoc, to discuss how PandaDoc CPQ supports faster quoting for SMB teams (roughly 5–500 employees). PandaDoc is widely known for proposals and eSignature, and Dustin explains why CPQ is a natural extension—especially for organizations that want a practical, easy-to-administer approach without heavy configuration overhead. We cover where PandaDoc CPQ fits best (including SaaS, software & technology, professional services, and education) and how customers typically use it alongside their CRM. Dustin outlines PandaDoc's API-forward SaaSapproach and its key integrations with HubSpot, Pipedrive, and Salesforce. We also discuss what's available today—and what's still evolving—such as ERP connectivity (currently not a standard integration, with MVP work underway) and common customer expectations around implementation, which is often 8–12 weeks. On the capability side, Dustin shares the top requests he sees from the market: product configuration, contract-based pricing, and CRM integration. We talk about product structure support (including bundles), pricing flexibility across segments and regions, usage-based pricing, and how PandaDoc positions its CPQ as a rules engine that is largely no-code (with options for more advanced logic when needed). We also dig into PandaDoc's AI direction—template generation, OCR and document intelligence, metadata-driven automation, and an admin-focused AI feature for helping set up product and pricing rules (currently in testing, with broader availability expected later this year). You'll also hear a few personal moments from Dustin—from his early career in the Salesforce ecosystem (including starting at Apttus in 2014), to an unexpected chapter running a beekeeping business in Santa Barbara, to his passion for freediving near San Diego. A PandaDoc CPQ free trial is available on PandaDoc's website.

In this episode, we tackle a big question pest control owners face: should you run everything inside your pest control software—or use a dedicated CRM like HighLevel or HubSpot for lead management and marketing? We break down the pros and cons of major platforms including PestPac, FieldRoutes, Housecall Pro, BrioStack, Jobber, and GorillaDesk, and explain why the real key is building internal workflows first, then designing automation that supports your team—without forcing everyone to live with sub-standard workarounds.If you want help building a workflow-first pipeline, automation follow-up, and a system that connects lead generation to real sales results, reach out anytime:Casey Lewiscasey@rhinopros.com(925) 464-8383Follow and subscribe at the following links:https://www.youtube.com/@RhinoPestControlMarketinghttps://www.facebook.com/rhinopestcontrolmarketingLeave us a review on Google:https://g.page/r/CT9-E84ypVI0EBM/review

Companies like Meta and other social platforms are facing serious scrutiny over the effects of social media on mental health, teens, misinformation, and society at large. Lawmakers are circling. Hearings are happening. Headlines are dramatic. But is this real regulatory momentum… or political theater? Joe and Robert debate: Whether meaningful regulation is actually possible What history tells us about tech antitrust moments And what marketers should prepare for if something does change Are we watching the beginning of a structural shift, or just another PR cycle? OpenAI Buys OpenClaw OpenAI makes another strategic move, acquiring OpenClaw. Smart vertical integration or signs of pressure? Joe and Robert explore: What this signals about OpenAI's long-term positioning If this move strengthens the moat or exposes vulnerability Desperate land grab or calculated chess move? Apple Moves into Video. Too Late? Apple continues expanding its footprint in video podcasts and entertainment. But in a world dominated by established streaming giants and creator-driven platforms, is Apple behind? The discussion covers: Apple's historical pattern of entering late and winning anyway Whether hardware advantage still matters If brand trust gives Apple an edge in a saturated market What this means for content creators and marketers Is Apple playing the long game… or missing the moment? Marketing Winners and Losers Winners Joe shares a win from Surfside and what "winning" looks like in Key West. Sometimes the lesson isn't scale. It's positioning, timing, and owning a moment. Losers Robert discusses the Ring backlash and how they just didn't read the room. Rants and Raves Robert's Rant The evolving role of the AI creator. Is the curator the new role? Joe's Rave Differentiation is not louder messaging. It's clearer identity. In a world drowning in synthetic sameness, the brands and creators who stand for something specific will win. As always, Joe and Robert cut through the noise so you can focus on what matters. Subscribe. Share. And don't miss this one. Subscribe and Follow: Follow Joe Pulizzi and Robert Rose on LinkedIn for insights, hot takes, and weekly updates from the world of content and marketing.  ------- This week's sponsor: Did you know that most businesses only use 20% of their data? That's like reading a book with most of the pages torn out. Point is, you miss a lot. Unless you use HubSpot. Their customer platform gives you access to the data you need to grow your business. The insights trapped in emails, call logs, and transcripts.  All that unstructured data that makes all the difference. Because when you know more, you grow more. Visit https://www.hubspot.com/ to hear how HubSpot can help you grow better. ------- Get all the show notes: https://www.thisoldmarketing.com/ Get Joe's new book, Burn the Playbook, at http://www.joepulizzi.com/books/burn-the-playbook/ Subscribe to Joe's Newsletter at https://www.joepulizzi.com/signup/. Get Robert Rose's new book, Valuable Friction, at https://robertrose.net/valuable-friction/  Subscribe to Robert's Newsletter at https://seventhbearlens.substack.com/ ------- This Old Marketing is part of the HubSpot Podcast Network: https://www.hubspot.com/podcastnetwork

Diane Sadowski-Joseph, Co-Founder of Clarinet, joined us on The Modern People Leader. We talked about why most AI adoption stalls at “talking the talk,” how to choose the right AI use cases using the “trifecta” and the Five Frictions framework, and how “click cutters” can unlock compounding gains by removing cognitive and workflow friction.----  Here's everything Diane referenced: https://modernpeopleleader.kit.com/fivefrictionsSponsor Links:

Lula rebuilt property maintenance from the ground up by solving a fundamental problem: property managers spend 40% of their time coordinating maintenance with zero visibility into work order status. After pivoting from a B2C app when they discovered landlords were their actual users, Bo Lais and his team made a critical insight—deep PMS integration wasn't a feature, it was the entire go-to-market strategy. Today, Lula's 9,000-contractor network processes 1,000 work orders daily across 50 markets, performing 30 HVAC replacements per day at scale that enables direct manufacturer relationships. Now they're commercializing their internal tech stack as Foresight, a standalone SaaS platform launching Q1. In this episode of BUILDERS, Bo breaks down the strategic decisions behind building integrations as distribution, using network density to create pricing advantages competitors can't match, and knowing when to productize your internal tools. Topics Discussed: Why the B2C to B2B pivot happened after discovering usage patterns, not market research How PMS integration eliminated "swivel chair" friction and became the primary distribution channel Strategic partnership depth over breadth: enabling co-selling with AppFolio, Buildium, Yardi rather than partner proliferation The 250-door threshold where maintenance coordination breaks and technology becomes necessary Network density economics: 30 daily HVAC replacements creating leverage for direct manufacturer negotiations and flat-rate service catalogs The decision framework for commercializing Foresight based on upstream customer advisory group feedback Maintaining discipline around ICP when sales teams naturally want to expand GTM Lessons For B2B Founders: System of record integration is your distribution strategy, not a feature: Lula's standalone app created adoption friction because property managers refused to work outside their PMS. Bo's realization: "They need everything to live in their system of record...They don't want swivel chair. And then providing that real time visibility throughout the entire life cycle of the work order was really valuable because prior to that they assign it to a vendor, and then they cross their fingers and hope that it gets done." The integration solved both adoption friction and delivered continuous visibility their workflow demanded. For B2B founders: if your users live in Salesforce, HubSpot, or vertical-specific platforms all day, your integration strategy IS your distribution strategy—build there first, not alongside. Strategic partnerships require enablement infrastructure, not just signed contracts: Bo's approach rejects partnership sprawl: "It's not about stacking on another 10 partnerships, it's about how do we go deeper and enable those partners to co-sell with us and talk about the value props that together we can provide." This means building co-selling toolkits, joint value propositions, and partner success metrics. For B2B founders: one partnership where the partner's sales team actively sells your solution beats ten partnerships where you're just listed in a marketplace. Invest in making partners successful sellers, not collecting logos. ICP discipline requires sales team enforcement mechanisms, not just definitions: Lula knew their ICP but struggled with execution. Bo learned "it's one thing when we understood who our ICP was, but then it's a whole nother thing to adhere to that and get the sales team to adhere to that ICP." The specificity matters: residential (not multifamily), single-family, 250+ doors (where coordination breaks), capped at several thousand doors (before enterprise needs diverge). For B2B founders: document your ICP, but also build the compensation structures, deal approval processes, and CRM workflows that prevent sales from chasing deals outside the sweet spot—even when quota pressure hits. Message outcomes customers measure, not the technology delivering them: Bo's AI framing: "They care about the outcomes, right? If we're able to move the needle on the outcomes and provide a better experience for residents by automating communication, automating the time to schedule, automating the time to get resolution...it's not the how, it's the result." Lula's AI eliminates truck rolls through upfront troubleshooting and improves one-trip resolution rates—that's what property managers track. For B2B founders: if your customer's boss asks "how's that new tool working," they answer with metrics they're held accountable for (resolution time, truck rolls, resident satisfaction), not "it uses AI." Lead with those metrics. Productize internal tools when customer advisory groups request them and you have defensible advantages: Lula commercialized Foresight after upstream customers specifically asked for their tech during advisory sessions. Bo's competitive moat thinking: "Everyone else thinks they're going to do it better with the AI and automation they have. But our competitive moat is that our on-demand network is built inside this AI work order management system. And because of the scale of our network and the buying power, we can provide instant quotes for a lot of services...our competitors that are just doing software don't have this network of contractors nationwide." For B2B founders expanding product lines: customer pull plus operational advantages competitors can't replicate (Lula's contractor density, manufacturer relationships, 1,000 daily work orders of training data) create viable new products. Without both, you're just building undifferentiated software. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Lenny's Podcast: Product | Growth | Career ✓ Claim : Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- Brian Halligan co-founded HubSpot, ran it as CEO for about 15 years, and now coaches Sequoia's fastest-growing founders as their in-house CEO coach.We discuss:1. His LOCKS framework for evaluating founders2. Why you should build your team like the 2004 Red Sox3. Why hiring “spicy” candidates beats consensus picks4. Why enterprise sales will be the last white-collar job AI replaces5. Some of my favorite “Halliganisms”—Brought to you by:Sentry—Code breaks, fix it faster: http://sentry.io/lennyDatadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/sequoia-ceo-coach-why-its-never-been—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Brian Halligan• X: https://x.com/bhalligan• LinkedIn: linkedin.com/in/brianhalligan• Delphi: https://www.delphi.ai/bhalligan• Podcast: https://sequoiacap.com/series/long-strange-trip—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 Brian Halligan(03:56) The perpetual state of constructive dissatisfaction(05:25) Coaching CEOs(07:49) The art of interviewing and hiring(11:21) Getting the most out of reference calls(13:10) Homegrown talent vs. big company hires(16:31) Traits of successful CEOs(19:40) Brian's LOCKS framework for evaluating founders(21:34) Are great CEO's born or made?(23:41) Giving effective feedback(25:54) The future of go-to-market strategies(31:56) Understanding forward deployed engineers(34:17) How the CEO role has evolved over the last 20 years(38:10) Halliganisms(01:01:18) The CEO's role in scaling a company(01:02:41) Lightning round and final thoughts—Referenced:• Dev Ittycheria on LinkedIn: https://www.linkedin.com/in/dittycheria• HubSpot: https://www.hubspot.com• Parker Conrad on LinkedIn: https://www.linkedin.com/in/parkerconrad• McKinsey & Company: https://www.mckinsey.com• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Jensen Huang on LinkedIn: https://www.linkedin.com/in/jenhsunhuang• Winston Weinberg on LinkedIn: https://www.linkedin.com/in/winston-weinberg• James Cadwallader on LinkedIn: https://www.linkedin.com/in/jsca• Gabriel Stengel on LinkedIn: https://www.linkedin.com/in/gabestengel• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Scaling Entrepreneurial Ventures: https://orbit.mit.edu/classes/scaling-entrepreneurial-ventures-15.392• OpenClaw: https://openclaw.ai• Ruth Porat on LinkedIn: https://www.linkedin.com/in/ruth-porat• Mike Krzyzewski: https://goduke.com/sports/mens-basketball/roster/coaches/mike-krzyzewski/4159• Dalai Lama's 18 Rules for Living: https://www.prm.nau.edu/prm205/Dalai-Lama-18-rules-for-living.htm• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Kareem Amin on LinkedIn: https://www.linkedin.com/in/kareemamin• Glassdoor: https://www.glassdoor.com• Tobi Lütke's leadership playbook: Playing infinite games, operating from first principles, and maximizing human potential (founder and CEO of Shopify): https://www.lennysnewsletter.com/p/tobi-lutkes-leadership-playbook• Katie Burke on LinkedIn: https://www.linkedin.com/in/katie-burke-965767a• Jerry Garcia: https://en.wikipedia.org/wiki/Jerry_Garcia• Bob Weir: https://en.wikipedia.org/wiki/Bob_Weir• Phil Lesh: https://en.wikipedia.org/wiki/Phil_Lesh• Ron “Pigpen” McKernan: https://en.wikipedia.org/wiki/Ron_%22Pigpen%22_McKernan• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• The American Revolution: https://www.pbs.org/kenburns/the-american-revolution• Delphi: https://www.delphi.ai• Sonos: https://www.sonos.com• Yamini Rangan on LinkedIn: https://www.linkedin.com/in/yaminirangan• The Boston Red Sox: https://www.mlb.com/redsox—Recommended book:• Marketing Lessons from the Grateful Dead: What Every Business Can Learn from the Most Iconic Band in History: https://www.amazon.com/Marketing-Lessons-Grateful-Dead-Business/dp/0470900520—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

This episode is brought to you by B2B Better. Most owned media audits produce 50-page reports with vague recommendations and zero next steps. We give you four questions, 90 minutes, and a clear decision: kill, fix, or scale.  If your podcast has downloads but no pipeline, this episode shows you how to audit your entire owned media strategy in 90 minutes and walk away knowing what's broken and how to fix it. Host Jason Bradwell breaks down the Four R Framework — Reach, Resonance, Revenue, and Repeatability — plus a decision tree to kill, fix, or scale. Jason's core point is clear: most owned media audits are useless. They take weeks and produce reports filled with vanity metrics. Today you get four questions that reveal everything in 90 minutes. Reach is the least important. It can be bought. If you turn off ads tomorrow, what happens? That tells you whether you have real distribution or rented attention. Resonance is where it gets interesting. Jason would rather have 100 views at 85% consumption than 10,000 views at 20%. The 100 who watch the whole thing are deeply engaged. The 10,000 who clicked away were never going to buy. For video, 50% consumption is good, 70% is excellent. For podcasts, 50% is good, 75% is excellent. Revenue asks: is your strategy generating commercial results? The benchmark: 30 to 50% of closed deals should have at least one content touch. Content-influenced deals should close 20 to 30% faster. If attribution is weak, you have an activation problem, not a content problem. Repeatability determines if your strategy works long term. You should produce content four to six weeks in advance without overtime. If you're in hero mode with one person holding everything together, you need systems, not heroics. The decision tree is simple. High reach but low resonance? Fix the content. Low reach but high resonance? Scale distribution. Low everything? Kill it. High everything but low repeatability? Fix operations first. Chapter Markers 00:00 - Why most owned media audits are useless 01:00 - The Four R Framework and why reach matters least 02:00 - Resonance and consumption rate benchmarks 03:00 - 100 views at 85% beats 10,000 at 20% 04:00 - Revenue attribution and pipeline influence 05:00 - Direct vs influenced vs self-reported attribution 06:00 - Repeatability and sustainability benchmarks 07:00 - Hero mode vs documented processes 08:00 - The decision tree: kill, fix, or scale 09:00 - High reach but low resonance means fix content 10:00 - What to do on Monday morning based on your audit 11:00 - Fix activation by emailing sales directly 12:00 - Four questions, 90 minutes, one action 13:00 - Get the full audit template with benchmarks Useful Links Connect with Jason Bradwell on LinkedIn Listen to Pipe Dream on Podbean Explore ABM reporting in HubSpot for tracking accounts touched Explore B2B Better website and the Pipe Dream podcast 

Hey CX Nation,In this CXWeekly Update episode #277 we walk through ideas, goals & CTAs the team at CXC has been focused on, not only internally but from the learnings we're being exposed to from clients & strategic partners on a regular basis. In this episode we walk through a few emerging trends around how AI is impacting the future of Sales, CX, Customer Success & Support + the future of work. Thanks to our friends at GoTo, Intercom & TriNet for supplying some amazing market reports that fuel this week's episodes. They collectively went out & interviewed & surveyed thousands of business leaders from across the world to see where they are in their AI foundation building efforts. Click here for GoTo Pulse of Work Report 2025Click here for Intercom Customer Service Transformation Report 2026Click here for Tri-Net State of Workplace Report 2025Don't worry we have a ton of amazing brand new guest interviews & episodes coming down the pipeline.We're also working on new forms & mediums of customer focused business content -- including my 2nd book "Make Happiness A Habit" that we are launching in the New Year. We've also been building a few new podcasts behind the scenes to take all that we've learned with CXCP & start finding other podcast areas ripe for more content. A big part of CXC's mission is to continue creating valuable customer & employee focused business leader content, including CXWeekly updates like this that are digestible, actionable & most importantly entertaining. The CXChronicles Podcast is approaching a huge milestone in the upcoming months that most podcasts will never achieve. We closing in on 300+ episodes of customer focused business content from incredible Founders & Executives from all over the world. CXC is partnered with several leading software & technology providers including Hubspot, Intercom, Freshworks, & several others who might be the difference in your CX/EX performance moving forward. We provide our clients with audits, assessments & scorecards and we provide custom CTAs centered around your content engine to drive CX/EX health, utilization & health performance for our partner solutions (Hubspot, Intercom, Freshworks), & on-demand managed services (partner led implementation, utilization performance & training for several of our partner solutions).If you enjoy The CXChronicles Podcast, stop by your favorite podcast player and leave us a review today.You know what would be even better?Go tell one of your friends or teammates about CXC's content, CX/CS/RevOps services, our customer & employee focused community & invite them to join the CX Nation!For you non-readers, go check out the CXChronicles Youtube channel to see our customer & employee focused video content & short-reel CTAs to improve your CX/CS/RevOps performance today (politely go smash that subscribe button).Contact us anytime to learn more about CXC at INFO@cxchronicles.com and ask us about how we can help your business & team make customer happiness a habit now!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

In this episode of The Digital Marketing Podcast, Daniel Rowles sits down with Kipp Bodnar, CMO of HubSpot, to discuss what may be the most disruptive year in marketing history. Kipp believes that 2026 could represent the biggest single wave of change our industry has ever seen. Weeks feel like months. Channels are fragmenting. Discovery is shifting. AI agents are entering workflows. And traditional attribution models are starting to break down. From Answer Engine Optimisation to AI agents, rising ad costs to workflow automation, this conversation explores how marketers can stay ahead when the pace of change is accelerating. In This Episode: Why 2026 may be the biggest year of change in marketing history Kipp explains why discovery, personalisation and team workflows are being reshaped simultaneously. Answer Engine Optimisation vs traditional SEO The shift from short keyword queries to ultra long-tail, conversational prompts of 40 to 60 words changes everything. Mentions vs citations in AI search Why brand visibility in ChatGPT, Gemini and Claude is more complex than link-based SEO ever was. The first mover advantage in AI discovery Early adopters can make exponential gains because competition is still low and optimisation is immature. Why AI agents are thriving in customer service but lagging in marketing Marketing problems are less formulaic and more complex, making agent adoption slower but highly promising. The practical AI workflow hack every marketer should try Record yourself completing a repetitive task, upload it to Google Gemini, and ask how to automate it. A simple but powerful shortcut to AI adoption Why attribution is becoming harder again The "golden age" of clean click-to-conversion tracking is fading as AI intermediates discovery. Rising ad costs and the need for new growth channels With paid media inflation increasing, marketers must adopt emerging channels such as AEO and AI-enabled creative optimisation. The importance of strategic conviction AEO cannot be treated as a side project. It must be embedded as a core capability. HubSpot's approach to AI and context Positioning HubSpot as the context layer for AI, enabling agents and assistants to work from real customer data. Key Takeaways: Discovery is changing faster than most organisations are adapting. Answer Engine Optimisation requires different content structures, including FAQs and machine-friendly formatting. Early adoption in AI search offers outsized returns. AI-assisted workflows are often more impactful than fully autonomous agents in marketing today. Marketing teams must bake experimentation and innovation into daily operations. The biggest risk is not AI itself, but failing to evolve working practices alongside it.

In this solo episode of the Everyday Business Problems podcast, Dave Crysler tackles one of the most common questions growing companies ask: should we hire a fractional COO or a full-time COO? His answer might surprise you; you're asking the wrong question entirely. Drawing from nearly 30 years of operations leadership and his own evolution from traditional consulting to an Operations on Demand model, Dave breaks down why defining the problem you're actually trying to solve matters far more than filling a predefined role on your org chart. What You'll Discover: Why "should I hire a fractional or full-time COO?" is the wrong starting question for most growing companies. How predefined roles and titles lead to compromises that don't actually solve the real problem. The difference between what a fractional COO actually does versus what most people marketing themselves as "fractional" deliver. Why the COO role looks completely different at $800K, $8M, and $80M in revenue, and why that matters for your hiring decision. How companies end up swapping tools (HubSpot to Salesforce, etc.) when the real issue is planning, people, and process, not the technology. The shipyard story: what a ball-peen hammer and a $15,000 invoice teach us about the value of experience. What "Operations on Demand" means and how it differs from fractional leadership or traditional consulting. How to use a crawl-walk-run approach to diagnose what your organization actually needs before making a hire. If you're a growing company debating whether to bring in outside leadership help, this episode will reframe the conversation and help you focus on the problem first — before the title, the role, or the org chart.

Most marketers use AI to write generic emails.Kieran Flanagan used it to increase sales meetings by 30% and build a “Chief of Staff” that manages his 350-person team.Kieran is the SVP of Marketing at HubSpot, where he has helped scale the company from 250 to over 7,000 employees.He is also the co-host of the popular “Marketing Against the Grain” podcast.In other words, Kieran doesn't just theorize about AI; he is actively “vibe coding” custom internal tools to overhaul HubSpot's entire go-to-market motion.In this episode, Kieran opens his laptop to show exactly how he builds custom AI agents that extract viral talking points from video, automate complex management reporting from Slack, and personalize outreach at massive scale.Here's what you'll learn in this episode:The “Vibe Coding” Strategy: Why building your own simple tools beats buying off-the-shelf software.30% More Meetings: The exact email workflow change that drove massive sales efficiency.Management Automation: How to use AI to summarize weekly team activity and identify blockers across 350 employees.The Death of Prompt Engineering: Why “context grafting” and intent matching are replacing complex prompts.TIMESTAMPS:00:00 - Introduction00:30 - Managing a 350-person team at HubSpot04:05 - How AI drove a 30% increase in sales meetings08:07 - Building custom data sets for personalized outreach14:47 - Demo: Kieran's custom “Viral Talking Points” tool21:18 - Why “Vibe Coding” is the future of marketing workflows25:49 - Turning video transcripts into high-performing LinkedIn posts30:45 - The evolution of prompt engineering (and why it's dying)38:37 - The “Shakespeare Trap” of using AI for feedback42:30 - Using AI agents for deep research and storytelling50:28 - Automating management: Summarizing Slack and identifying blockers59:05 - Why AI makes creativity more valuable, not less01:02:40 - The #1 trait Kieran looks for when hiring01:03:15 - Sneak peek: AI agents inside Google SheetsWhere to find Kieran:LinkedIn: https://www.linkedin.com/in/kieranjflanagan/X: @searchbratWebsite: https://www.kieranflanagan.io/ , https://www.hubspot.com/Podcast: @MATGpodWhere to find Tim:LinkedIn: https://www.linkedin.com/in/timsoulo/X: @timsouloWebsite: https://www.timsoulo.com/

It's been a good long while since I've had a good long rant. *Cracks knuckles.* Let us begin.Join the next cohort of Design My Signature Talk (starts Feb. 23, 2026)→Subscribe to my newsletter→***ABOUT ME, JAY ACUNZOI work with entrepreneurs, execs, and teams on the journey from competent to resonant. To do that, I help transform your thinking into clear, captivating ideas, speeches, and IP. Stop chasing attention. Become the one others seek.I'm a former marketing leader at Google and HubSpot and globally touring speaker and author. I've spent 20 years building the exact thought leadership I now help clients create—as a practitioner-peer, not a coach with templates.Work with me 1:1, book me to speak, or explore free resources at jayacunzo.comDon't market more. Matter more.Think resonance over reach.Don't be the best. Be their favorite.***ENJOY THE SHOW? PLEASE SAY THANKS!Leave a review on Apple Podcasts Leave a rating on Spotify Thanks for listening!

Timo Armoo built and sold A global marketing company (Fanbytes) for $30M+ at age 27. He started as an anxious, self-doubting kid on a council estate in East London. He had no money or connections. His story is proof you don't need luck to succeed as an entrepreneur. In this conversation, Timo shares the EXACT cheat codes you can use to start your first $1M business.Our Sponsors:Grab the 2026 State of Marketing Report by Hubspot: https://clickhubspot.com/42cf89Start using @replit today: https://replit.comFollow Us!https://www.instagram.com/calumjohnson1/https://x.com/calum_johnson9Timo: https://www.instagram.com/timarmoo/?hl=enTimestamps00:00 Intro03:40 Watch this if you feel misunderstood08:00 The cage story (I was scared for my life!)12:29 How a gangster saved my life...23:02 The life changing business I started at 14 (copy this business model!)28:46 Why Fanbytes worked (secrets behind the $30M business)34:17 This visualization practice made me a multi-millionaire37:20 The alter-ego cheatcode (use this when you're feeling anxious)40:25 You'll never build a successful business without this...44:59 The expertise gap (how to find $1M business ideas)49:15 The most underrated hack for making your first $1M 53:44 3 ways to copy business ideas57:59 3 business myths that keep you broke01:06:03 Follow these 2 rules to hit your first $10k/month01:09:38 The easiest path to $1M/year01:16:20 Watch this if you doubt yourself (best advice you'll hear today)

Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant.   Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Brian Halligan co-founded HubSpot, ran it as CEO for about 15 years, and now coaches Sequoia's fastest-growing founders as their in-house CEO coach.We discuss:1. His LOCKS framework for evaluating founders2. Why you should build your team like the 2004 Red Sox3. Why hiring “spicy” candidates beats consensus picks4. Why enterprise sales will be the last white-collar job AI replaces5. Some of my favorite “Halliganisms”—Brought to you by:Sentry—Code breaks, fix it faster: http://sentry.io/lennyDatadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/sequoia-ceo-coach-why-its-never-been—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Brian Halligan• X: https://x.com/bhalligan• LinkedIn: linkedin.com/in/brianhalligan• Delphi: https://www.delphi.ai/bhalligan• Podcast: https://sequoiacap.com/series/long-strange-trip—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 Brian Halligan(03:56) The perpetual state of constructive dissatisfaction(05:25) Coaching CEOs(07:49) The art of interviewing and hiring(11:21) Getting the most out of reference calls(13:10) Homegrown talent vs. big company hires(16:31) Traits of successful CEOs(19:40) Brian's LOCKS framework for evaluating founders(21:34) Are great CEO's born or made?(23:41) Giving effective feedback(25:54) The future of go-to-market strategies(31:56) Understanding forward deployed engineers(34:17) How the CEO role has evolved over the last 20 years(38:10) Halliganisms(01:01:18) The CEO's role in scaling a company(01:02:41) Lightning round and final thoughts—Referenced:• Dev Ittycheria on LinkedIn: https://www.linkedin.com/in/dittycheria• HubSpot: https://www.hubspot.com• Parker Conrad on LinkedIn: https://www.linkedin.com/in/parkerconrad• McKinsey & Company: https://www.mckinsey.com• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Jensen Huang on LinkedIn: https://www.linkedin.com/in/jenhsunhuang• Winston Weinberg on LinkedIn: https://www.linkedin.com/in/winston-weinberg• James Cadwallader on LinkedIn: https://www.linkedin.com/in/jsca• Gabriel Stengel on LinkedIn: https://www.linkedin.com/in/gabestengel• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Scaling Entrepreneurial Ventures: https://orbit.mit.edu/classes/scaling-entrepreneurial-ventures-15.392• OpenClaw: https://openclaw.ai• Ruth Porat on LinkedIn: https://www.linkedin.com/in/ruth-porat• Mike Krzyzewski: https://goduke.com/sports/mens-basketball/roster/coaches/mike-krzyzewski/4159• Dalai Lama's 18 Rules for Living: https://www.prm.nau.edu/prm205/Dalai-Lama-18-rules-for-living.htm• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Kareem Amin on LinkedIn: https://www.linkedin.com/in/kareemamin• Glassdoor: https://www.glassdoor.com• Tobi Lütke's leadership playbook: Playing infinite games, operating from first principles, and maximizing human potential (founder and CEO of Shopify): https://www.lennysnewsletter.com/p/tobi-lutkes-leadership-playbook• Katie Burke on LinkedIn: https://www.linkedin.com/in/katie-burke-965767a• Jerry Garcia: https://en.wikipedia.org/wiki/Jerry_Garcia• Bob Weir: https://en.wikipedia.org/wiki/Bob_Weir• Phil Lesh: https://en.wikipedia.org/wiki/Phil_Lesh• Ron “Pigpen” McKernan: https://en.wikipedia.org/wiki/Ron_%22Pigpen%22_McKernan• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• The American Revolution: https://www.pbs.org/kenburns/the-american-revolution• Delphi: https://www.delphi.ai• Sonos: https://www.sonos.com• Yamini Rangan on LinkedIn: https://www.linkedin.com/in/yaminirangan• The Boston Red Sox: https://www.mlb.com/redsox—Recommended book:• Marketing Lessons from the Grateful Dead: What Every Business Can Learn from the Most Iconic Band in History: https://www.amazon.com/Marketing-Lessons-Grateful-Dead-Business/dp/0470900520—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

Did your brand just spend $7 million on a 30-second ad that alienated or ignored half its potential audience? Agility requires a willingness to challenge long-held assumptions—like the idea that a celebrity and a massive budget are all you need for a winning Super Bowl ad. It demands that brands move from gut feelings to data-driven insights to understand what truly resonates with their audience. Today, we're going to talk about the biggest advertising event of the year: the Super Bowl. Millions of dollars are spent, careers are made, and brands have one 30-second shot to capture the zeitgeist. But beyond the spectacle and the morning-after buzz, what actually drives results? We'll dig into the data behind the ads, exploring which brands successfully connected with key audiences, what the data says about using celebrities, and how the smartest brands think about the Super Bowl not as a single event, but as a strategic play in a much larger game.To help me discuss this topic, I'd like to welcome, Nataly Kelly, CMO at Zappi. About Nataly Kelly Nataly Kelly is Chief Marketing Officer at Zappi, based in Boston, MA. Previously she served at HubSpot as Vice President of Marketing, Vice President of International Operations and Strategy, and Vice President of Localization. Nataly Kelly on LinkedIn: https://www.linkedin.com/in/natalykelly/ Resources Zappi: https://www.zappi.io Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Get the Zappi Lessons in Advertising: Super Bowl LX report: https://www.zappi.io/web/learnings-from-super-bowl-ads-2026/Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://advertalize.com/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

I know referrals work. You just have to get them from the right people. In this episode, I am sharing three ways to get high quality referrals that will help you build your sales pipeline.Ask Your Happy CustomersThe most common way to generate referrals is by reaching out to customers who are thrilled with your service and asking for an introduction to their network. Here is the surprising part. While 90 percent of customers say they are willing to refer others, only 11 percent of salespeople actually ask. If you are not asking, you are leaving opportunities on the table.Request Referrals from Non BuyersDo not overlook the conversations that do not end in a sale. Even when someone tells you no, that does not mean the relationship is over. It is still perfectly reasonable to ask if they know someone who is dealing with the challenges your product solves. When you position it around helping others, the request feels natural and value focused.Leverage LinkedIn ConnectionsYou can also take a more proactive approach by using tools like LinkedIn Sales Navigator. Look at your customers' first degree connections and identify people who match your ideal client profile. Then ask for a specific introduction. This method takes more effort, but when you are intentional about who you want to meet, the results can be powerful."Your goal is to get them to be able to be your evangelists." — Donald KellyResourcesKeep track of your sales activity and boost your results with the Prospect Pro sales tool.Join the LinkedIn Prospecting Course to improve how you use LinkedIn and book more consistent, high-quality sales appointments.Visit Blue Mango Studios for help in creating podcast production content. Sponsorship OffersThis episode is brought to you in part by Hubspot.With HubSpot sales hubs, your data tools and teams join a single platform to close deals and turn prospects into pipelines. Try it for yourself at hubspot.com/sales.This episode is brought to you in part by LinkedIn.Are you tired of prospective clients not responding to your emails? Sign up for a free 60-day trial of LinkedIn Sales Navigator at linkedin.com/tse.This episode is brought to you in part by the TSE Sales Foundation.Improve your connection on LinkedIn and land three or five appointments with our LinkedIn prospecting course. Go to the salesevangelist.com/linkedin.CreditsAs one of our podcast listeners, we value your opinion and always want to improve the quality of our show. Complete our two-minute survey here: thesalesevangelist.com/survey. We'd love for you to join us for our next episodes by tuning in on

This week, Joe and Robert break down one of the boldest marketing decisions the NFL has made in years and why it continues to pay off. NFL + Bad Bunny: A Strategic Win The NFL's move to spotlight Bad Bunny wasn't just a halftime performance decision. It was a strategic signal about where the league is headed as it expands globally and looks to connect with younger, more diverse audiences. Joe and Robert explore whether this marks a broader repositioning of the NFL brand and what marketers can learn from a legacy organization willing to evolve in public. This isn't about one performance. It's about how institutions modernize without losing their core. Super Bowl Ad Winners & Losers The guys break down the biggest hits and misses from this year's Super Bowl ad lineup. Which brands actually created impact? Who played it too safe? Did AI-driven ads live up to the hype or feel automated and forgettable? Some advertisers made bold cultural bets. Others blended into the background. Spotify's Big Earnings and the Hidden Opportunity Spotify's latest earnings report might signal something bigger than a financial rebound. Joe sees a potential opportunity for creators and marketers who understand the long-term value of owned audio audiences. Is podcasting and direct subscription audio still undervalued? Are marketers overlooking one of the most durable attention platforms available today? If you care about building direct audience leverage, this segment matters. Winners and Losers Joe's Winner: Markiplier's Iron Lung Markiplier's direct-to-theaters success with Iron Lung shows what creator-led distribution can look like without traditional Hollywood gatekeepers. Is this a preview of the next decade of media? Robert's Loser: AI Ads at the Super Bowl AI promised scale and personalization. On the biggest stage in advertising, many of those spots felt soulless and generic. Scale without taste is not a strategy. Rants and Raves Joe's Rant: TikTok Privacy Are creators and brands ignoring long-term privacy and platform risk for short-term reach? Robert's Commentary: The Overblown SaaS Apocalypse Robert pushes back on the constant doom-and-gloom narrative around SaaS and tech. Is the so-called apocalypse real, or just another overreaction cycle? Big Takeaway Legacy institutions are adapting. Creators are bypassing gatekeepers. Platforms are redefining monetization. The question for marketers is simple: Are you reacting to change, or positioning yourself to benefit from it? Subscribe and Follow: Follow Joe Pulizzi and Robert Rose on LinkedIn for insights, hot takes, and weekly updates from the world of content and marketing.  ------- This week's sponsor: Did you know that most businesses only use 20% of their data? That's like reading a book with most of the pages torn out. Point is, you miss a lot. Unless you use HubSpot. Their customer platform gives you access to the data you need to grow your business. The insights trapped in emails, call logs, and transcripts.  All that unstructured data that makes all the difference. Because when you know more, you grow more. Visit https://www.hubspot.com/ to hear how HubSpot can help you grow better. ------- Get all the show notes: https://www.thisoldmarketing.com/ Get Joe's new book, Burn the Playbook, at http://www.joepulizzi.com/books/burn-the-playbook/ Subscribe to Joe's Newsletter at https://www.joepulizzi.com/signup/. Get Robert Rose's new book, Valuable Friction, at https://robertrose.net/valuable-friction/  Subscribe to Robert's Newsletter at https://seventhbearlens.substack.com/ ------- This Old Marketing is part of the HubSpot Podcast Network: https://www.hubspot.com/podcastnetwork

In this Marketing Over Coffee: Learn about building Brandoms, Creating Community, and How to Hold It All Together! Direct Link to File Her new book is: Transforming Customer–Brand Relationships: Use Emotional Connection To Build Loyalty Check out the previous interview with Christina on her time at Hubspot and transition to on demand Chief Customer Officer […] The post Transforming Customer-Brand Relationships with Christina Garnett appeared first on Marketing Over Coffee Marketing Podcast.

In this Marketing Over Coffee: Learn about building Brandoms, Creating Community, and How to Hold It All Together! Direct Link to File Her new book is: Transforming Customer–Brand Relationships: Use Emotional Connection To Build Loyalty Check out the previous interview with Christina on her time at Hubspot and transition to on demand Chief Customer Officer […] The post Transforming Customer Brand Relationships with Christina Garnett appeared first on Marketing Over Coffee Marketing Podcast.

Liz Bronson, VP of People at Skimmer, joined us on The Modern People Leader to talk about intentionally “flatlining” her career for a period of time to prioritize parenting. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode282Sponsor Links:

This Week In Startups is made possible by:Hubspot - http://clickhubspot.com/twist2Deel - http://deel.com/twistIru - http://www.iru.com/Today's show: Today on TWiST we're joined by 3 founders building on Open Claw,  Presh Dineshkumar, Vishnu, and Sean Liu!First, long time friend of the pod, Presh Dineshkumar, shows us how he's using Open Claw to automate his work at The Wellness Company. His Open Claw agent, Eywa, lives in his email and in his product, able to compile user lists at his discretion.Then, we're joined by Vishnu, who brings Open Claw to the masses. Non-technical folks, it's your lucky day! Time to get Clawd-shotted! Last, Sean Liu joins the show to tell us about how he's connecting Meta glasses to his Open Claw instance to interact with context that users can physically see!Timestamps:(0:00) We're joined by Presh Dineshkumar of the Wellness Company, another OpenClaw fanatic(1:50) We meet Presh's Replicant — Eywa — who spies on all of his emails(2:53) How Eywa is helping Presh keep track of his app's most active users(4:35) LLMs have become very smart but they are trapped in the corner(6:10) How Presh gave Eywa its own email address and avoids prompt injections(8:56) Using Presh's Replicant to do daily research dives(10:40) Hubspot: Check out the guide “Advanced ChatGPT Prompt Engineering: From Basic to Expert in 7 Days.” Download it for free at http://clickhubspot.com/twist2(13:21) Presh also has Eywa hunting down and fix bugs in his apps, all from email(16:16) Way more startups can be profitable now that they don't need 10+ person teams(19:15) Deel - Founders ship faster on Deel. Set up payroll for any country in minutes and get back to building. Visit http://deel.com/twist to learn more.(20:36) We're joined by two more OpenClaw builders: Vishnu and Xiaoan (Sean) Liu(21:16) Sean hooked his Meta Ray Bans up to his OpenClaw!(29:53) Iru unifies identity, endpoint security, and compliance into one platform. Book a demo at http://iru.com/(31:05) Some dystopian thoughts on how to use VisionClaw technology(32:47) What kinds of startups will get the most value out of OpenClaw?(34:43) Why Vishnu made a product to simplify OpenClaw set-up and security(37:34) What inspires people to stop considering OpenClaw and go “all in” on the tech(40:17) Will Vishnu and Sean quit their jobs and take Jason's investment $125K investment deal… YESSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com/Check out the TWIST500: https://twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(10:40) Hubspot: Check out the guide “Advanced ChatGPT Prompt Engineering: From Basic to Expert in 7 Days.” Download it for free at http://clickhubspot.com/twist2(19:15) Deel - Founders ship faster on Deel. Set up payroll for any country in minutes and get back to building. Visit http://deel.com/twist to learn more.(29:53) Iru unifies identity, endpoint security, and compliance into one platform. Book a demo at http://iru.com/Check out all our partner offers: https://partners.launch.co/

In this "behind-the-scenes" episode, Andy opens up his laptop to reveal the full tech stack running his consulting and media business in 2026. After conducting a massive software audit at the end of 2025, Andy realized he was paying for tools he didn't need—and using some tools for the wrong jobs. He details his major decision to migrate his CRM from Notion back to HubSpot, explains why "all-in-one" isn't always the answer, and lists the essential apps that keep his business profitable and efficient.I hope you enjoy it! As always you can learn more and connect with me on my website (andystorch.com) or LinkedIn. And you can find my books - Own Your Career Own Your Life and Own Your Brand, Own Your Career - on Amazon.

Search is decaying, attention is fragmented and AI is rewriting the rules faster than most teams can update their decks. If you're still planning content like it's 2019, you're already invisible.In this episode, Kyle Denhoff, Sr Director of Marketing at HubSpot, pulls the curtain back on what happens after the inbound era. We get brutally honest about why channel-first thinking is dead, how HubSpot rebuilt itself as a media company inside a SaaS giant, and why “always-on” isn't a buzzword—it's survival. Kyle also breaks down how AI is actually being used behind the scenes (no, not to replace marketers), and why taste, editorial judgment, and distribution matter more than ever in a world flooded with machine-made content.We also explore:Why “more content” is the fastest way to lose relevanceHow audience-first strategy replaces blogs, funnels, and campaign calendarsThe real way HubSpot uses AI to drive conversion—without killing the brandWhy creators and practitioners now beat brands in buyer trustThe uncomfortable truth: nobody has the playbook, and pretending you do is the riskThis is a reality check for B2B teams still clinging to templates while the ground shifts under them.

In this episode of FP&A Unlocked, host Paul Barnhurst sits down with Aswin Saravanan, VP of Finance at Qualtrics, to explore what it really takes for FP&A teams to move from insight to action. Aswin shares why trust is the foundation of strategic finance, how culture and vision enable better decision making, and why simplicity in financial modeling often delivers the greatest impactAswin is a strategic finance leader with over a decade of experience across global technology companies. He specializes in connecting strategy to execution and helping finance drive business outcomes. Currently the VP of Finance at Qualtrics, he brings deep expertise across corporate, product, and go-to-market finance. He has previously held leadership roles at Microsoft and HubSpot.Expect to LearnWhat great FP&A looks like as a strategic business partnerWhy is trust required to move from insight to actionHow culture and vision shape high-performing FP&A teamsThe importance of simple financial models over complex onesHow FP&A teams create strategic value that influences the futureHere are a few relevant quotes from the episode:“Taking something from insight to action requires trust. Without trust, nothing really moves.” - Aswin Saravanan“Great FP&A is when the team can be a proactive strategic partner and actually change the trajectory of the company.”- Aswin SaravananAswin Saravanan shares practical insights on how FP&A teams can move from reporting to truly influencing business outcomes. By building trust, setting a clear vision, and keeping financial models simple, finance leaders can turn insight into action. The conversation reinforces that strategic value comes from helping the business make better decisions about the future.Campfire: AI-First ERP:Campfire is the AI-first ERP that powers next-gen finance and accounting teams. With integrated solutions for the general ledger, revenue automation, close management, and more, all in one unified platform.Explore Campfire today: https://campfire.ai/?utm_source=fpaguy_podcast&utm_medium=podcast&utm_campaign=100225_fpaguyFollow Aswin:LinkedIn - https://www.linkedin.com/in/aswinsaravanan/Company - https://www.linkedin.com/company/qualtrics/Earn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, and answer a few questions and earn your CPE certification. To earn education credits for FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In...

With a career spanning the US Navy, executive leadership positions at PetSmart and Banfield Pet Hospital, and pioneering online training, Don brings unique insights into building and scaling businesses across industries. Throughout the conversation, Avanish and Don discuss OpenSesame's evolution from an online learning marketplace to an AI-powered platform that serves enterprises, learning management systems, and content publishers. They explore the "Intel Inside" ecosystem strategy, the Simon AI tool that democratizes course creation and enables instant translation into 70 languages, and how organizations can successfully navigate workforce reinvention in the AI era while meeting customers where they are.In this episode, Avanish and Don discuss:OpenSesame's dual-sided platform strategy: Partnering with 200+ LMS/HRIS systems on the delivery side while aggregating 50,000 courses from 200+ publishers, providing distribution for small publishers to reach enterprise customers and enabling large publishers like Harvard Business Publishing to access mid-market and SMB segments.The Simon AI course creation tool: Democratizing content development by enabling subject matter experts to create high-quality courses without instructional designers, with built-in translation capabilities across 70 languages for voiceover and text—expanding global reach for multinational organizations.Workforce reinvention as strategic imperative: Positioning OpenSesame at the center of organizational AI transformation by providing not just technology but comprehensive change management roadmaps, helping HR and learning leaders guide their teams through adoption with curated content and use cases.The "meet them where they are" philosophy: Balancing long-term product vision with practical customer adoption paths, especially during transformational periods like AI implementation, by understanding customer needs deeply before prescribing solutions and allowing products to flex without compromising the ultimate vision.The 1% better daily improvement mindset: Embracing continuous learning and incremental progress as the foundation for breakthrough innovation, recognizing that overnight successes are built on consistent dedication and discipline over time.About Don Spear:Don Spear is CEO of OpenSesame. Before his current role, he founded BlueVolt.com, held executive leadership positions at Banfield Pet Hospital and PetSmart, and served as a submarine officer aboard the USS Tunny (SSN 682).About OpenSesameOpenSesame, the leading provider of online business training, is the choice for L&D professionals wanting to drive learning initiatives forward with innovation, agility, and care. We offer the world's most comprehensive digital learning catalog, with regularly updated content from expert publishers in a variety of formats and languages. By providing comprehensive learning resources and innovative tools like Simon, OpenSesame empowers L&D professionals to exceed their goals and champion learning across their entire organization.Host Avanish SahaiAvanish Sahai is a Tidemark Fellow and served as a Board Member of Hubspot from 2018 to 2023; he currently serves on the boards of Birdie.ai, Flywl.com and Meta.com.br as well as a few non-profits and educational boards. Previously, Avanish served as the vice president, ISV and Apps partner ecosystem of Google from 2019 until 2021. From 2016 to 2019, he served as the global vice president, ISV and Technology alliances at ServiceNow.  From 2014 to 2015, he was the senior vice president and chief product officer at Demandbase.  Prior to Demandbase, Avanish built and led the Appexchange platform ecosystem team at Salesforce, and was an executive at Oracle and McKinsey & Company, as well as various early to mid-stage startups in Silicon Valley.About TidemarkTidemark is a venture capital firm, foundation, and community built to serve category-leading technology companies as they scale.  Tidemark was founded in 2021 by David Yuan, who has been investing, advising, and building technology companies for over 20 years.  Learn more at www.tidemarkcap.com.LinksFollow our host, Avanish SahaiLearn more about Tidemark

In der heutigen Folge sprechen die Finanzjournalisten Philipp Vetter und Holger Zschäpitz über den AI Whateverpocalypse Trade, die wahren Gründe für den Lufthansa-Streik und den KI-Gewinner Vertiv. Außerdem geht es um CBRE Group, Jones Lang LaSalle, Cushman & Wakefield, Unity Software, Shopify, Hubspot, UIPath, Asana, SAP, Nemetschek, Dassault Systems, Relx, Flatex Degiro, Siemens Energy, Micron Technologies, Cisco, T-Mobile, Warner Brothers Discovery, Paramount-Skydance, McDonald's, Commerzbank, Schott Pharma, Gerresheimer, United Airlines, Delta, Air France-KLM, Easyjet, Ryanair, Scalable MSCI AC World Xtrackers ETF (WKN: DBX1SC), Finanzen.net MSCI World ETF (WKN: ETF300), Amundi MSCI World ETF (WKN: ETF146), Comdirect S&P All World State Street ETF (WKN: A41WW6), iShares Edge MSCI EM Value Factor ETF (WKN: A2JJAQ). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Der Börsen-Podcast Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

In this "behind-the-scenes" episode, Andy opens up his laptop to reveal the full tech stack running his consulting and media business in 2026. After conducting a massive software audit at the end of 2025, Andy realized he was paying for tools he didn't need—and using some tools for the wrong jobs. He details his major decision to migrate his CRM from Notion back to HubSpot, explains why "all-in-one" isn't always the answer, and lists the essential apps that keep his business profitable and efficient.I hope you enjoy it! As always you can learn more and connect with me on my website (andystorch.com) or LinkedIn. And you can find my books - Own Your Career Own Your Life and Own Your Brand, Own Your Career - on Amazon.

Isabel Naidoo, Chief People Officer at Wise, joined us on The Modern People Leader to share how Wise builds a cohesive employee experience across global offices while still honoring local identity. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode281Sponsor Links:

New podcast series within Tacos and Tech: AI Builders Roundtable!Neal sits down with Craig Lauer and Ross Young on a day both Anthropic and OpenAI dropped major releases to talk about what it actually looks like to build with AI right now. Ross walks through how his team at Clinically AI built an internal AI operating system using Claude Co-work - from voice-interviewing department heads to capture tribal knowledge, to running full pipeline reviews from HubSpot in natural language. Craig shares how LaunchMate, the AI co-pilot he's building for student founders at SDSU's Zip Launchpad, uses persistent memory and multi-agent communication to keep founders moving. The conversation moves from tools to workflows to a surprisingly honest riff on identity - and what it means when intelligence is no longer your competitive advantage.Key Topics Covered:* The Anthropic 4-6 / OpenAI Codex same-day release and what it signals* LaunchMate: AI agents with persistent memory for founders, mentors, and cohort management at SDSU Zip Launchpad* “Tidbits” — auto-generated founder progress updates (”share without sharing”)* Ross's AI operating system at Clinically AI: markdown knowledge bases, Claude Co-work projects, HubSpot integration, voice-mode interviews for tribal knowledge capture* The AI capability spectrum: chatbots → cloud agents with tool access → local agents with full computer access* OpenClaw vs. Co-work: excitement vs. enterprise readiness and security* Craig's LettaBot/WhatsApp cautionary tale* Natural language as the new programming language - and why social workers may outperform engineers at agent programming* Processes they'll never go back to: manual contract redlines, email triage* Identity in the age of AI - detaching professional worth from intelligenceLinks & Resources:* Clinically AI* SDSU Zip Launchpad* Claude Co-work by Anthropic* LaunchMate (in development)Connect on LinkedIn:* Craig Lauer* Ross Young* Neal Bloom This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit risingtidepartners.substack.com/subscribe

Recently, a seller sent me a voice note asking why his framework is failing him every single time. I am sure other sellers are facing this same issue, and in this episode, I am going to share how to fix it. Sales is not a black and white solution. It is filled with ambiguity. My advice will help you navigate those gray areas with more confidence.Beyond the FrameworkI start by challenging the idea that just following a sales framework guarantees success.Every sales scenario has unpredictable human factors, so sticking strictly to a process is not enough. You have to be ready to adapt and read the situation in real time.The Power of Reviewing the TapeOne of my biggest recommendations is to listen back to your recorded calls, either on your own or with someone you trust. This gives you a more objective perspective on what is working and what is not. I also suggest using tools like ChatGPT to analyze transcripts or get external feedback. It is a great way to spot patterns you might miss.Taking and Maintaining ControlBefore every call, set an agenda and make sure both you and the prospect are aligned on the outcomes. If you give up that control, the prospect will take the lead and that usually leads to ambiguity or stalled deals. Staying in control does not mean being pushy. It means guiding the conversation toward results.Always Secure a Next StepNever leave a meeting without scheduling the next step. I have lost deals in the past because I did not do this, and it kills momentum fast. Make it a habit to lock in what comes next before the call ends.Courage to Ask the Tough QuestionsGoing through the motions is not enough. Developing the art of sales means reading between the lines and asking the uncomfortable questions. That is what separates great sellers from everyone else. You have to be willing to challenge your prospects in a way that adds value and drives clarity."There's a lot of gray areas in sales, especially when you're dealing with humans who tend to be unpredictable." - Donald KellyResourcesKeep track of your sales activity and boost your results with the Prospect Pro sales tool.Join the LinkedIn Prospecting Course to improve how you use LinkedIn and book more consistent, high-quality sales appointments.Visit Blue Mango Studios for help in creating podcast production content. Sponsorship OffersThis episode is brought to you in part by Hubspot.With HubSpot sales hubs, your data tools and teams join a single platform to close deals and turn prospects into pipelines. Try it for yourself at hubspot.com/sales.This episode is brought to you in part by LinkedIn.Are you tired of prospective clients not responding to your emails? Sign up for a free 60-day trial of LinkedIn Sales Navigator at linkedin.com/tse.This episode is brought to you in part by the TSE Sales Foundation.Improve your connection on LinkedIn and land three

When you give a presentation of any kind, you don't actually have a captive audience. YOU need to captivate. This is a story structure that can both captivate your audience AND deliver the message or lesson they most need (and you need to distribute to do your job).As mentioned, there are just a few spaces left in the next cohort of my public speaking accelerator. Grab yours here:Join the next cohort of Design My Signature Talk (starts Feb. 23, 2026)→***ABOUT ME, JAY ACUNZOI work with entrepreneurs, execs, and teams on the journey from competent to resonant. To do that, I help transform your thinking into clear, captivating ideas, speeches, and IP. Stop chasing attention. Become the one others seek.I'm a former marketing leader at Google and HubSpot and globally touring speaker and author. I've spent 20 years building the exact thought leadership I now help clients create—as a practitioner-peer, not a coach with templates.Work with me 1:1, book me to speak, or explore free resources at jayacunzo.comDon't market more. Matter more.Think resonance over reach.Don't be the best. Be their favorite.***ENJOY THE SHOW? PLEASE SAY THANKS!Leave a review on Apple Podcasts Leave a rating on Spotify Thanks for listening!

Mark Roberge is calling it now: we are about to witness the highest failure rate for a single cohort of startups in the history of tech. As author of Science of Scaling, and co-founder of Stage 2 Capital, Mark joins the pod to dismantle the "growth at all costs" mindset that still plagues founders. He explains why the assembly-line sales model is dead and how AI will force a return to the full-cycle "rainmaker" rep. **Key moments:** The AI Bubble: Why the index fund of the last two years of AI investments is likely doomed. Fixing Your ICP: And how optimizing for CAC or inbound volume without ICP fundamentals in place is a recipe for disaster The 80% Rule: How AI moves reps from 25% selling time to 80%, and what that means for the future of SDR, AE, and CS functions LIR - What it is and Why It Matters: Why every board deck needs a a LIR slide to predict product-market fit before revenue numbers hit **Note:** Mark is donating 100% of the proceeds from his new book to mental health causes. Grab a copy of *The Science of Scaling* on Amazon!   Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast!   Chapters: 00:00 Introduction: Mark Roberge and The Science of Scaling 03:44 Founder Turnover and Loyalty in the AI Era 06:18 Navigating Founder Burnout and Strategic Pivots 16:30 Predicting High Failure Rates for AI-Native Startups 18:57 The Origin Story Behind The Science of Scaling 24:51 Why Most Companies Define Their ICP Wrong 28:34 The Leading Indicator of Retention (LIR) Framework 32:30 Real-World Example: Shifting ICP Based on Retention 37:22 Who Should Own Product-Market Fit? 43:23 Transitioning GTM Strategies from SaaS to AI 47:29 The End of Specialization: Collapsing GTM Roles 51:12 Solving GTM Inefficiency by Increasing Selling Time 56:50 How to Pilot the Consolidated "Ninja AE" Role 01:04:29 Designing Organizations for Rainmakers vs. Average Reps 01:08:01 Mental Health, Gratitude, and Closing Thoughts  

It's the episode you've been waiting for. Joe Pulizzi and Robert Rose bring together their favorite rants and raves in one fast-moving supercut that tackles the biggest questions facing marketers and creators right now. Is print really making a comeback, or are we just nostalgic for a slower, more thoughtful era of media? Why does everyone seem so certain in a world that's becoming more complex by the day? And is "thoughtful marketing" finally ready for its return after years of hacks, shortcuts, and algorithm chasing? The guys also dig into a question every content team should be asking: Is content actually broken, or is the real problem your org chart? Along the way, Joe and Robert explore what might be the next great opportunity for marketers and content entrepreneurs who are willing to zig while everyone else zags. Big ideas. Sharp opinions. A few laughs. And plenty to argue about on your next walk or commute. You don't want to miss this one. Subscribe and Follow: Follow Joe Pulizzi and Robert Rose on LinkedIn for insights, hot takes, and weekly updates from the world of content and marketing.  ------- This week's sponsor: Did you know that most businesses only use 20% of their data? That's like reading a book with most of the pages torn out. Point is, you miss a lot. Unless you use HubSpot. Their customer platform gives you access to the data you need to grow your business. The insights trapped in emails, call logs, and transcripts.  All that unstructured data that makes all the difference. Because when you know more, you grow more. Visit https://www.hubspot.com/ to hear how HubSpot can help you grow better. ------- Get all the show notes: https://www.thisoldmarketing.com/ Get Joe's new book, Burn the Playbook, at http://www.joepulizzi.com/books/burn-the-playbook/ Subscribe to Joe's Newsletter at https://www.joepulizzi.com/signup/. Get Robert Rose's new book, Valuable Friction, at https://robertrose.net/valuable-friction/  Subscribe to Robert's Newsletter at https://seventhbearlens.substack.com/ ------- This Old Marketing is part of the HubSpot Podcast Network: https://www.hubspot.com/podcastnetwork

Chase Warrington, Head of Operations at Doist, joined us on The Modern People Leader to break down how async-first work enables faster decision-making, stronger culture, and scalable operations. We talked about building trust without offices, the systems and rituals behind Doist's execution velocity, and why async workflows are foundational to effective AI adoption.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode280Sponsor Links:

Dan Nathan hosts Rishi Jaluria from RBC Capital on the 'Okay, Computer' podcast, discussing the recent downturn in software stocks amid a contrasting performance in the semiconductor sector. Rishi attributes the decline to the rise of AI and its transformative impact on software companies. The conversation covers the uncertain future of enterprise software, with examples like Salesforce and Oracle experiencing significant drops. They explore how AI adoption could drive margin expansion across various industries, including retail and oil and gas. Finally, the potential of companies like Microsoft and HubSpot to leverage AI for growth is considered, along with the future role of AI leaders OpenAI, Anthropic, and Google in shaping the tech landscape. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

This week, Jamie Russo tackles a slightly uncomfortable question—especially for someone who runs a program called Community Manager University. But if you're struggling to find quality candidates when you post that job title, this episode might change how you think about recruiting. Here's the problem: the community manager title anchors candidates on member interaction and engagement. But the actual job? It's pipeline management, CRM updates, billing follow-up, vendor coordination, office turnovers, social media, sales tours, and—oh yeah—also community building. When you hire someone expecting to spend their day chatting with members and they end up spending three hours in HubSpot, you've got a mismatch. And that mismatch starts with the title. We talk about: Why "Location Manager" might attract better candidates (and who's testing it successfully) How to prioritize the five hats: operations, community building, sales & marketing, finance, and leadership The front-of-house vs back-of-house split when you have two people on site Why the biggest gap is CRM use—and how the title sets the wrong expectations How to design a daily schedule based on what actually matters most in your business right now When community manager IS the right title (and when it's not) The downloadable template to help you prioritize hats and write a job description that matches reality This conversation is for operators who are tired of hiring people who don't fit the role—or who lose great team members because the job wasn't what they expected. If you're about to post a job or wondering why your last hire didn't work out, this episode will help you rethink your approach. Resources Mentioned in this Podcast: Profit Accelerator Program Everything Coworking Featured Resources: Masterclass: 3 Behind-the-Scenes Secrets to Opening a Coworking Space Coworking Startup School Community Manager University Follow Us on YouTube

Do buyers lie? The short answer is yes and I'm going to tell you why in this episode. I'm also going to tell you how to get the truth of their issues out and close the deal. Why Do Buyers Lie?Buyers don't always lie intentionally. However, there're three main reasons why they do:They feel uncomfortable saying “no.”They're not interested but don't want to hurt your feelings.They want to “think about it,” often as a way to avoid further discussion.Key Strategies for SellersIf you find them lying to you, try these strategies to get the truth out of them: Seek honest answers by asking tougher, more direct questions.Never assume a prospect's motives, instead get to the real issue.Practice probing with family or friends to build confidence.Avoid desperation and maintain control throughout the process.Don't wait. Address hesitations immediately rather than letting deals linger.“Why in the world do we hoard horrible deals? Is because internally we believe that there's still hope. But I'm telling you not to do that. Cut them and go to the next one. Don't be afraid of losing something.” - Donald KellyResourcesKeep track of your sales activity and boost your results with the Prospect Pro sales tool.Join the LinkedIn Prospecting Course to improve how you use LinkedIn and book more consistent, high-quality sales appointments.Visit Blue Mango Studios for help in creating podcast production content. Sponsorship OffersThis episode is brought to you in part by Hubspot.With HubSpot sales hubs, your data tools and teams join a single platform to close deals and turn prospects into pipelines. Try it for yourself at hubspot.com/sales.This episode is brought to you in part by LinkedIn.Are you tired of prospective clients not responding to your emails? Sign up for a free 60-day trial of LinkedIn Sales Navigator at linkedin.com/tse.This episode is brought to you in part by the TSE Sales Foundation.Improve your connection on LinkedIn and land three or five appointments with our LinkedIn prospecting course. Go to the salesevangelist.com/linkedin.CreditsAs one of our podcast listeners, we value your opinion and always want to improve the quality of our show. Complete our two-minute survey here: thesalesevangelist.com/survey. We'd love for you to join us for our next episodes by tuning in on Apple Podcast, Google Podcast,