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When Erica Kuhl joined Salesforce as employee #176, nothing about her role or title suggested she would go on to build one of the most influential customer communities in SaaS history. Given a broken website, no roadmap, no team, she hacked together the first Salesforce Community with duct-taped technologies, raw conviction, and a fierce belief that customers needed a place to help each other.That grassroots experiment eventually grew into a 17 million-member global community, became a blueprint for digital customer success, and reshaped the way enterprise SaaS companies think about adoption, retention, and product feedback loops.Today, Erica is EVP & GM at Gainsight, leading community, education, and in-app product experience—and shaping the emerging category of Digital Customer Success.This episode is a masterclass in community-powered retention, scrappy innovation, and how one person can build an entirely new motion inside an organization long before the market knows it needs it.---Timestamps0:00 – Preview 0:58 – Meet Erica Kuhl: EVP at Gainsight & Former Employee #176 at Salesforce3:39 – What Early Salesforce Adoption Actually Looked Like6:25 – Teaching Admins Before Admins Existed9:40 – Why Erica Pitched a Community Before “Community” Was a Thing11:25 – Building the First Salesforce Community13:43 – Scaling Without Support19:30 – How Community Became a Strategic Retention Lever 24:44 – Defining Digital Customer Success26:35 – Where to Start: Crawl–Walk–Run for Digital CS30:25 – Why Community Multiplies GRR31:28 – Closing Thoughts---What You'll Learn- How the first modern SaaS community was built—from scratch, without buy-in- Why peer-to-peer engagement scales support, adoption, and product feedback- How to tie community engagement directly to retention (and why it's essential)- Why COVID reshaped the priority of customer marketing and always-on programs- How community, education, and in-app experiences converge into Digital CS- Where digital CS programs should start and how to avoid fragmented experiences- The cultural mindset needed to build community programs that actually survive- Practical tactics for early-stage community building: seeding, puppeteering, protecting, and aligning---Check out the Key Takeaways & Transcripts: https://www.gainsight.com/presents/series/unchurned/---Where to Find Erica:LinkedIn: https://www.linkedin.com/in/ericakuhl/Podcast: In Before the LockWhere to Find Josh: LinkedIn: https://www.linkedin.com/in/jschachter/---Resources Mentioned:* Gainsight Community* Brian Oblinger's Community Strategy Academy* Skilljar * Salesforce Community
SHOW: 975Rohan Sathe, CEO and Co-Founder of Nightfall AI, discusses the rise of Shadow AI, where employees unknowingly leak sensitive corporate data through generative AI tools like ChatGPT. We explore how Nightfall's AI-native approach transforms autonomous systems to defend against AI-powered data exfiltration across SaaS apps, endpoints, and browsers. SHOW TRANSCRIPT: The Cloudcast #975 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[Mailtrap] Try Mailtrap for free[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:Sunday Perspective touches on Shadow AINightfall websiteTopic 1 - Welcome to the show, Rohan. Give everyone a brief introduction, including your time at Uber Eats.Topic 2 - How do you define Shadow AI? We hear Shadow AI compared to Shadow IT back at the start of cloud. However, this looks different because everyone's learning curve is much smaller. For Shadow IT to happen, you had to know IT (servers, storage, etc.). Is this the correct way to think about the problem?Topic 3 - How big is the Shadow AI problem today?Topic 4 - Normally, data leaks would be discovered by traditional DLP (data loss prevention) tools. In my experience, those tools have been cumbersome and clunky, and you often face the classic trade-off between user productivity and security, as well as the need to lock down access. How has this mindset evolved in the era of AI? Topic 5 - What happens when AI-powered attacks meet AI-powered defense?Topic 6 - Let's talk about the technical architecture. How does Nightfall actually work across SaaS apps, endpoints, browsers, and AI tools?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Tal Moore is the CEO and Co-Founder and Dave Stickland is the President and Co-Founder of Popsmith. Follow Tal on Instagram at @TalMoore and Dave Stickland at @stickland_dave.FOLLOW UP WITH ANDREW X: @andrewjfarisEmail: podcast@ajfgrowth.comWork with Andrew: ajfgrowth.comINTELLIGEMSIntelligems brings A/B testing to business decisions beyond copy and design. Test your pricing, shipping charges, free shipping thresholds, offers, SaaS tools, and more by clicking here: https://bit.ly/42DcmFl. Get 20% off the first 3 months with code FARIS20.MORE STAFFINGRecruit, onboard, and train incredible virtual professionals in the Philippines with my friends at More Staffing by visiting https://morestaffing.co/af.
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by security researchers Tori Murphy and Anna Seitz to unpack two financially motivated cyber threats. First, they explore the Payroll Pirates campaign (Storm 2657), which targets university payroll systems through phishing and MFA theft to reroute direct deposits. Then, they examine Vanilla Tempest, a ransomware group abusing fraudulent Microsoft Teams installers and SEO poisoning to deliver the Oyster Backdoor and Recita ransomware. Together, they discuss how attackers exploit trust in identity, code signing, and SaaS platforms and share practical steps organizations can take to strengthen defenses, from phishing-resistant MFA to stricter executable controls and out-of-band banking verification. In this episode you'll learn: How Payroll Pirates diverted university salaries through SaaS HR phishing schemes Why universities are prime targets for identity-based cyberattacks How Vanilla Tempest evolved from basic ransomware to complex multi-stage attacks Some questions we ask: How are attackers stealing credentials and paychecks? Why do attackers create inbox rules after compromising accounts? What alerts should organizations monitor for these types of attacks? Resources: View Tori Murphy on LinkedIn View Anna Seitz on LinkedIn View Sherrod DeGrippo on LinkedIn Investigating targeted “payroll pirate” attacks affecting US universities Microsoft Threat Intelligence healthcare ransomware report highlights need for collective industry action Related Microsoft Podcasts: Afternoon Cyber Tea with Ann Johnson The BlueHat Podcast Uncovering Hidden Risks Discover and follow other Microsoft podcasts at microsoft.com/podcasts Get the latest threat intelligence insights and guidance at Microsoft Security Insider The Microsoft Threat Intelligence Podcast is produced by Microsoft and distributed as part of N2K media network.
In this episode, Nina Olding, Staff Product Manager at Weights & Biases and formerly at Google DeepMind, working on trust and compliance for AI, joins Randy to explore the UX challenges of AI‑driven features. As AI becomes increasingly woven into digital products, the traditional UX cues and trust‑signals that users rely on are changing. Nina introduces her framework of the three “A's” for AI UX: Awareness, Agency, and Assurance, and explains how product teams can build this into their AI‑enabled products without launching a massive transformation programme.Key Takeaways— As AI features proliferate, the UX challenge is less about the technology and more about how users perceive, understand and trust the interactions.— Trust is based on three foundational dimensions for AI‑enabled products: Awareness, Agency, Assurance.— Awareness: Make it clear when AI is involved (and when it isn't). Invisible AI = risk of misunderstanding. Magical AI without context = disorientation.— Agency: Give users control, or at least the option to opt‑out, define boundaries, choose defaults vs advanced settings.— Assurance: Because AI can be non‑deterministic, you must design for confidence—indicators of reliability, transparency about limitations, ability to question or override outputs.Chapters00:00 – Intro: Why AI products are failing on trust00:47 – Nina Old's journey from Google DeepMind to Weights & Biases03:20 – The UX of AI: It's not just a chat window04:08 – Introducing the Three A's framework: Awareness, Agency, Assurance08:30 – Designing for Awareness: Visibility and user signals14:40 – Agency: Giving users control and escape hatches21:30 – Assurance: Transparency, confidence indicators, and humility28:05 – Three key questions to assess AI UX30:50 – The product case for trust: Compliance, loyalty, and retention33:00 – Final thoughts: Building the trust muscleFeatured Links: Follow Nina on LinkedIn | Weights & Biases | Check out Nina's 'The hidden UX of AI' slides from Industry Conference Cleveland 2025We're taking Community Questions for The Product Experience podcast.Got a burning product question for Lily, Randy, or an upcoming guest? Submit it here. Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A...
A story about how "everyone agrees" is the most dangerous lie in SaaS.This episode is for SaaS founders frustrated watching their solution solve real problems—but wondering why no one actually buys it.Most healthcare startups don't fail because their tech doesn't work. They fail because they can't find anyone willing to pay for it.Mariano Garcia-Valiño, Founder and CEO of Axenya, spent 18 months proving his preventive care model worked clinically—reducing diabetes costs by 20% and mortality risk by 18%. Then he spent another year without selling a single dollar because insurers, hospitals, and patients all had reasons not to care enough to pay.He found the answer by buying a healthcare broker and changing who he sold to: employers in Brazil who actually bear the cost and have the timeframe to benefit from prevention.This inspired me to invite Mariano to my podcast. We explore why solving the right problem for the wrong buyer kills traction—and how changing your business model changes who cares. Mariano shares how he rejected the obvious paths (selling to insurers, doctors, or patients) and instead built a broker model that aligns incentives with outcomes. You'll discover why clinical proof means nothing without economic urgency.We also zoom in on three of the 10 traits that define remarkable software companies:Acknowledge you cannot please everyoneMaster the art of curiosityAim to be different, not just betterMariano's story is proof that the best solution dies without the right buyer—and why changing your business model, not your product could be the easy way out.Here's one of Mariano's quotes that captures the challenge he faced:"It's one thing to actually see the problem and find a technical solution for the problem. It's a different thing to deploy it in the right place within a very complex value chain that has a lot of incentives that are not well aligned."By listening to this episode, you'll learn:Why solving a highly valuable and critical problem alone won't create a market without economic incentive alignmentWhat happens when you build for huge global humanity problems instead of expensive local onesWhy focusing on who pays reveals better opportunities than focusing on who usesHow buying your distribution channel creates stickiness competitors can't copyFor more information about the guest from this week:Guest: Mariano Garcia-Valiño, Founder and CEO at Axenya Website: axenya.com
Joseph Avanzato is the Security Operations and Forensics Group Leader at Varonis. In this episode, he joins host Paul John Spaulding to discuss the common tactics attackers exploit and mistakes made by enterprises that lead breaches, as well as how Varonis is uniquely positioned to help public and private customers around the world investigate, contain, and evict attackers from their network. This episode is brought to you by Varonis, whose AI-powered data security platform secures your data at scale – across IaaS, SaaS, and hybrid cloud environments. To learn more about our sponsor, visit https://www.Varonis.com.
*Are we finally reaching Peak eVTOL? Jason and Alex on Joby's big Abu Dhabi moves and Archer's purchase of LA's Hawthorne Airport.On a PACKED Monday TWiST, Jason is BACK from MENA and Tokyo. Hear tales from his whirlwind trips launching new Founder University satellite programs… and find out why construction and fintech are BOOMING across the Middle East.PLUS Ramp raised $300M… here's why Alex calls the round “pretty baller.” We question why AI companies are growing SO MUCH FOUNDER than their SaaS counterparts. We're digging into the Problem with Dropbox.AND we're saying goodbye to KitKat, the beloved SF bodega cat who was reportedly run over by a Waymo. Here's why Jason's not too broken up about it (but he's JUST JOKING!)
So there's this guy, Bora Celik. Software engineer, thirty years in the game. Last year he tells his investors something crazy: SaaS is dead. Not dying. Dead. And here's the thing - he might be right. See, while everyone's playing with ChatGPT, asking it questions, Bora's building these things called AI agents. They don't just answer questions. They do the work. Like, actually reach out to influencers, negotiate deals, send products, follow up. No humans involved. One of his clients, Harney & Sons Tea, they've got agents running their entire influencer program. The agents find people, check their engagement rates, send emails, track who posts. Everything. And the wildest part? The CEOs of these $100 million companies are building their own agents now. Using tools anyone can access. Today, Bora shows us exactly how.SPONSORSSwym - Wishlists, Back in Stock alerts, & moregetswym.com/kurtCleverific - Smart order editing for Shopifycleverific.comZipify - Build high-converting sales funnelszipify.com/KURTLINKSN8N Agent Builder: https://n8n.io/ai-agents/Agentic Brand Newsletter: https://agenticbrand.ai/Agentic: https://a.gentic.co/WORK WITH KURTApply for Shopify Helpethercycle.com/applySee Our Resultsethercycle.com/workFree Newsletterkurtelster.comThe Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.
Sanish Mondkar is the Founder and CEO of Legion Technologies, a company specializing in AI-powered workforce management solutions that optimize labor efficiency and enhance hourly employee engagement. Under his leadership, Legion has become a trusted platform for automating scheduling, forecasting, and communication across major industries. Before Legion, Sanish served as Executive Vice President and Chief Product Officer at SAP, and earlier at Ariba. He holds a bachelor's degree in computer engineering from the University of Pune and a master's in computer science from Cornell University. In this episode… In today's fast-paced world of retail, hospitality, and other hourly-based industries, companies are racing to balance efficiency with employee satisfaction. But as technology reshapes how businesses operate, can AI actually make hourly work more engaging, flexible, and fulfilling? Sanish Mondkar, a seasoned technology leader and AI innovator, believes it can. He explains that traditional workforce management systems were built to control labor costs, not empower people — and that's where AI can fundamentally shift the equation. By automating scheduling, predicting demand, and empowering employees with control over their work schedules, companies can reduce attrition while fostering a more motivated workforce. Sanish also points out that real transformation comes when AI is transparent, explainable, and trusted by both managers and frontline workers. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Sanish Mondkar, Founder and CEO of Legion Technologies, to discuss how AI can drive employee engagement and operational excellence. They talk about Legion's AI-powered scheduling innovations, the "trifecta" that reduces attrition, and how automation builds trust between employers and staff. Sanish also shares lessons from scaling Legion with major brands like Dollar General and Philz Coffee.
Scaling SaaS in 2026: AI, Talent, and the Future of People Operations is becoming a core focus for growing B2B companies as AI reshapes how teams work, how customers buy, and how leaders build the next generation of SaaS organizations. In this episode of the Grow Your B2B SaaS podcast, recorded live at SaaS Summit Benelux in Amsterdam, host Joran speaks with Hotske Wesselius about how AI will reshape scaling in 2026. With a background in marketing and a career shift into people and talent acquisition, Hotske supports SaaS companies in hiring and retaining top talent. Their discussion explores how AI is changing the buyer journey, customer success, people management, culture, team structures, search behavior, partnerships, go to market strategies, efficiency, and the overall pace of competition. The theme is consistent. AI will not remove the need for people, but it will transform how teams work, what skills matter, and how leaders manage and support their organizations. The episode also offers advice for founders at various revenue stages and the mindset shifts needed to thrive in a fast changing environment.Key Timecodes(0:00) – AI Breakthrough Intro: B2B SaaS in 2026, Scaling, Buyer Journey, Customer Success, People Leadership(0:47) – Talent Secrets: Hotske Wesselius on Marketing, Recruiting, Hiring Top SaaS Talent(1:12) – Scaling Revolution: What Will Separate Winning B2B SaaS in 2026 (AI-Driven Orgs)(1:26) – Skill Upgrade: New Capabilities for the AI Era — Agents, Enablement, Leadership(2:13) – Buyer Shift: AI Search, Findability, and Customer Support Automation(3:11) – Data Reality Check: People Analytics Built on Engagement + Results(3:33) – Automation Wave: Headcount vs AI, Cognitive Tasks, Reporting, AI “Brain” Roles(4:31) – Human-in-the-Loop: Training, Building, and Governing AI Inside SaaS Companies(4:52) – Culture Reset: Designing Strong Company Culture in the Age of AI(5:29) – AI-First Shift: Changing Mindset at Scale (Miro Example)(5:56) – Leadership Hack: Using ChatGPT for Feedback, Tone, and Empathetic Communication(7:03) – Hyper-Personalization: Tailoring Communication via Personality Types (DISC)(7:44) – Empathy Engine: How AI Improves Manager Communication & Employee Experience(8:15) – Pro Tip: Use AI as Your Personal Empathy Coach(8:29) – Sponsor Spotlight: Reditus — B2B SaaS Affiliate & Referral Growth(9:25) – Efficiency Mode: Growing Fast in 2026 with AI Automation
Every founder dreams of standing out, but too many end up sounding the same. Michelle Erikson, Vice President at Straylight Capital, has witnessed her share of B2B SaaS investment trends. In this episode, Michelle explores what she sees as the (unwelcome) "commoditization of entrepreneurship," which sectors this benefits and diminishes, and when marketing can be the key differentiator in a crowded deal landscape. She also shares how marketers can influence investment conversations, when it's crucial to have a "professionalized" brand, and the advantages and pitfalls of a founder-led strategy.
In this episode of Technology Reseller News, Publisher Doug Green speaks with Rob Bye, President & Founder of Zenture Partners, about why the traditional telecom procurement and management model is breaking down—and how AI-driven lifecycle management can restore clarity and control for large enterprises. Zenture Partners is a strategic consultancy and AI-powered lifecycle management provider focused on giving enterprises full visibility into, and control over, their global telecom ecosystem, from contracts and circuits to invoices and risk. Bye explains that most large enterprises now live in a state of telecom chaos: hundreds of vendors, hundreds of invoices, and little understanding of contract terms, renewal dates, dependencies, or actual business impact. The old world of a single global MPLS provider has given way to an “internet everywhere” model, with 16,000+ ISPs worldwide, SD-WAN, and cloud-first architectures. At the same time, IT priorities have shifted—cloud infrastructure, security, AI-infused SaaS and CX platforms now consume leadership attention and budget, while telecom is largely ignored “as long as nothing is on fire.” When things break, teams react, extinguish the fire, and then move straight back to higher-visibility projects. Traditional telecom brokers and “no value” agents, Bye argues, have often added complexity rather than removed it. Unlike familiar IT resellers and VARs, telecom agents rarely bring a unified, data-driven platform to the enterprise. Zenture's model is different: it acts as an extension of both IT sourcing and network teams, combining consulting plus a global AI-enabled platform. Enterprises still contract directly with service providers, while the carriers fund Zenture through residual commissions. For customers, the Zenture platform is delivered at no cost, with no contract, ingesting data from TEM systems, carrier portals, invoices, and spreadsheets into a single pane of glass and highlighting where attention is truly needed. AI is at the center of this transformation. Zenture uses AI to continuously evaluate inventory, identify high-risk sites (such as shared last-mile paths or POP exposure), benchmark pricing, and generate recommendations on whether to renew, replace, or upgrade services as contracts approach term. Agentic AI is also used to integrate with carrier marketplaces and portals, automating quoting, ordering, status checks, inventory updates, and billing validation across hundreds of providers. Instead of humans manually combing through dense, ever-changing telecom invoices, AI flags changes, ties new charges to past orders, and confirms that disconnects and adds have been billed correctly, allowing IT and sourcing teams to focus on decisions, not data entry. Looking ahead, Bye sees AI-driven procurement reshaping RFIs, RFPs, benchmarking, and contract review. Enterprise “house” agents will query external platforms like Zenture's marketplace, shrink long vendor lists to a short set of best fits, and then assist stakeholders with risk analysis and legal review. But this doesn't eliminate the human partner; it elevates them. As Bye puts it, “AI isn't going to replace anyone—it's like the moving walkway at an airport. It just helps you get where you're going faster.” Zenture's client success managers increasingly act as digital workforce managers, overseeing and training AI agents while still providing strategic guidance on vendor consolidation and cost optimization. Ultimately, Zenture Partners aims to help enterprises move from a reactive, invoice-driven view of telecom to a strategic, outcome-focused model—consolidating vendors, simplifying billing, optimizing costs, and freeing IT teams to concentrate on cloud, security, and customer-facing innovation. To learn more about Zenture Partners and its AI-powered lifecycle management platform, listeners are invited to visit https://www.zenturepartners.com/. Software Mind Telco Days 2025: On-demand online conference Engaging Customers, Harnessing Data
Ian and Aaron discuss screen time for kids, the impending launch of Database School, why Ian acquired Bootstrapped.fm, and more.Sponsored by Bento, Flare, No Compromises, and Ittybit.Interested in sponsoring Mostly Technical? Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - The Screen Time Conundrum (12:56) - Public Service Announcement (23:18) - Database School Is Launching Next Week! (32:26) - Thanksgiving Plans (38:29) - Acquiring Bootstrapped.fm Links:Wall StreetThe Secret Life of PetsClaude CodeBrowser testing in Pest 4Database SchoolJason Beggs"Rich enough not to waste time"Andrey ButovBootstrapped Episode 43: The UserScape DevelopersBootstrapped Episode 46: Jeffrey Way of LaracastsPluribusIs It Cake?
In this action-packed SaaS Fuel episode, host Jeff Mains welcomes AI entrepreneur Alberto Rizzoli, co-founder and CEO of V7. They dive into the transformative power of AI in automating repetitive and complex knowledge work, discuss the accelerating pace of AI innovation, and unpack how both large enterprises and smaller teams can prioritize, implement, and benefit from next-generation “agentic” AI. Alberto Rizzoli candidly shares insights on the future of SaaS, practical applications in B2B, go-to-market challenges, the evolving demands on leadership and hiring, and what it takes to stand out in a world where technology is no longer a lasting moat.Key Takeaways00:00 AI Revolution: Transforming Technology04:00 AI Reducing Administrative Costs06:21 "Measuring AI's Impact on Knowledge"09:41 "AI as Workforce Revolution"15:53 "Startups Compete on Quality"18:27 "Tech Giants Dominate AI Future"22:27 "AI Implementation Leadership Needed"25:55 "Evaluating AI Tools Effectively"29:31 AI Adoption Requires Trust31:46 "Shift in GTM Strategies"35:48 "AI Automation Careers in Demand"37:20 "V7Labs: AI Workflow Automation"Tweetable QuotesViral Topic: The Real Value of AI in Knowledge Work: "Even if you had the money to ask a lawyer and that were not an issue, you would still first ask ChatGPT because you get an instantaneous answer and there is no friction towards that." — Alberto RizzoliAI & the Future of Work: "Keeping a human away from their family and children for five hours to do some work that AI can do in five minutes by consuming a lot less relative energy will actually be kind of the best of both worlds." — Alberto RizzoliQuote: "There is still an enormous amount of unrealized value from AI. There is still close to no AI usage at the world's largest companies." — Alberto RizzoliAI's Impact on Infrastructure Investment: "We've never seen so much investment in power generation since World War II. So it really is a paradigm shift that's happening." — Alberto RizzoliBalancing Creativity and Responsibility: "the creative side is something that we enjoy, but there's so many things that are jobs that things that we have to do, things that always." — Jeff Mains Viral Simplicity in User Interfaces: "instead of having to figure out, you know, how the watch was built, we're just asking what time it is." — Jeff Mains The Cycle of Innovation and Investment: It almost becomes self fulfilling because there's so much money pouring into it. And that drives innovation, which brings more money, which drives more innovation. And I think it does become self fulfilling to some degree. — Jeff Mains SaaS Leadership LessonsPrioritize Deep Automation: Leaders should focus AI efforts on well-documented, high-frequency processes, not just shiny new initiatives.Embrace the Player-Coach Model: Middle management is evolving. Future leaders need to be hands-on contributors who coach, not just oversee.Build for Scalability: The best AI tools get you 80% of the way—allocating resources to push to 100% is critical for lasting impact.Hire for Tech Fluency: Hiring should emphasize technical problem-solvers across all departments, especially those who can identify and implement automation.Champion Change Management: Assign a dedicated AI implementation owner to drive adoption—this role will multiply team productivity.Invest in Quality, Not Hype: In a fast-copying landscape, the long-term winners are those who create the best user...
Most teams think the answer to growth is simple. Add more. More markets, more products, more layers, more plays. The layer cake approach.It almost never works.It adds complexity, drains focus, and breaks what was already working.In this episode, Toni Holbein and Personio's Koen Stam talk about a better path. Instead of piling on new initiatives, fix the foundation. Improve the things that already drive revenue. Tighten ICP. Narrow focus. Sell better. Enable buyers. Strengthen the ecosystem around you. Document the process so the business does not depend on a few heroes.Do less. Execute better.This episode is brought to you by ZoomInfo, the Go-To-Market Intelligence Platform. ZoomInfo gives you high-quality B2B data and sales intelligence on in-market buyers across companies of all sizes, powered by AI-driven automation with integrated outreach tools to help your GTM teams build pipeline and close deals faster. Check them out at zoominfo.com/revenue-formula Want to work with us? Learn more: revformula.io(00:00) - Introduction (04:37) - Addressing the Great Pipeline Starvation (07:22) - Challenges of the Layered Approach (14:58) - Understanding Revenue Sources (19:19) - Data-Driven Decision Making (24:36) - The Parking Lot Exercise (27:43) - Vanity in Expansion (30:28) - Understanding Y our ICP (31:43) - Building a Target List (34:23) - Enabling Buyers (38:51) - Leveraging Ecosystems (43:55) - Process Over People (48:35) - Final Thoughts and Wrap-Up
In this episode, we're joined by Jeppe Schytte-Hansen, CEO and Co-founder of Omnidocs, a SaaS company that's moving fast: €22M+ in revenue, 1,500 customers, 155 employees, and four acquisitions in the last 18 months after bringing in private equity for the first time. Jeppe breaks down what it really takes to turn a steady, profitable SaaS into a buy-and-build platform, from product alignment and enablement to the emotional reality of killing someone's “version 2.0” and managing the slowdown that almost everyone underestimates. We spoke with Jeppe about choosing PE over VC, building a 14-point M&A framework, and why one plus one rarely equals two in the first year. He explains the “integration foxtrot” (quick–slow–quick–slow), how to preserve culture across six offices and four countries, and why Omnidocs is betting big on the shift from traditional documents to “fluid formats” in the coming years. Here are some of the key questions we address: What is the 14-criteria M&A evaluation framework, and what are the two instant disqualifiers? Why does every buy-and-build strategy start with a slowdown, and how do you shorten it? What makes product alignment the hardest part of M&A, and how do you decide when to kill a nearly-finished product? How do you structure integration squads and seven integration tracks across acquired companies? What does it take to enable sales teams to manage multiple products without slowing down new logo acquisition? How do you avoid overestimating cross-sell potential, especially in the first 12–18 months? Which are key roles and people to drive a successful pre, during and post-acquisition process?
Today, we're joined by Karen Chao, Chief Product Officer at Flowspace, an ecommerce logistics platform, where she's also taken on a role as head of marketing. Previously, Karen held product leadership roles at Apple, Replicon, Innit, and more. In this episode, Karen shares: How she ended up running Marketing on top of Product, and how bringing these two functions under one leader has improved go-to-market for Flowspace The biggest surprises she's uncovered running marketing as a product leader, from chaotic tool stacks to the next wave of AI-powered go-to-market automation And how Flowspace's product team uses AI tools like Cursor and Claude to accelerate discovery and prototyping, and even ship small bug fixes straight to production without Engineers involved Links Karen's LinkedIn: https://www.linkedin.com/in/karen1chao/ Flowspace: https://flow.space/ Resources (Ethically) cheat your way to $250M+ | Mikal Lewis, Product Exec. (Whole Foods, Nordstrom): https://youtu.be/5txeT2U_YQo Chapters 00:00: Intro 02:06: Karen's career highlights 03:59: How Karen and Flowspace are using AI in their team workflows 15:11: The intersection of product and marketing 22:13: What's surprised Karen most about transitioning from product to marketing 29:12: Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Karen Chao.
Small shifts. Big wins. This week we pull five practical, no-fluff tips from standout guests across the season - the habits that stick, the models that scale, the posture that sells, and the creative courage that sets brands apart.About the EpisodeA highlights reel of our most actionable moments featuring perspectives from:Dr Jon Finn - habits, brain-state management, AI readiness.John Readman - SaaS mindset and recurring value.Sabrina Chevannes - agency leadership and sustainable growth.Blair Enns - expert-led selling.Nils Leonard - creativity, culture, and brand bravery.This Episode CoversStart smaller than you think - Micro habits beat grand plans. Build simple, daily behaviours that create focus, recharge, and long-term momentum. (Clip: Dr Jon Finn)Think like SaaS, not just services - Solve real problems, validate the value, and productise what works - unlocking recurring revenue and predictable growth. (Clip: John Readman)Slow down to scale well - Growth without process creates chaos. Rebuild the basics: roles, workflow, communication, and the pace of your scaling. (Clip: Sabrina Chevannes)Sell like an expert, not a salesperson - Lead with diagnosis and clarity. Drop the pitch persona and show up as the trusted advisor you already are. (Clip: Blair Enns)Stand for something real - Tools are abundant, originality is scarce. Root your brand in cultural truth and choose courage over convention. (Clip: Nils Leonard)YouTube LinksDr Jon Finn - https://youtu.be/Kctj3Y-iVQE?si=RTEUTAIF9KmYGV0TJohn Readman - https://youtu.be/5Yh7Zmv_EE4?si=1pf50UnkR7U-LdpkSabrina Chevannes - https://youtu.be/nnaLBIOh8-0?si=R_jgBBzRu_sD02NcBlair Enns - https://youtu.be/KXLOJmmUvdo?si=QIY5rnlAl7KtCNWnNils Leonard - https://youtu.be/3vLFLcx9Now?si=C_wQdwIBEID715iuIf you've enjoyed Season 3 so far, don't forget to subscribe, leave a review, and share your favourite moments with us - we'd love to hear from you.
Discover how to accelerate your startup's growth, without all the typical corporate roadblocks, by focusing on strategy and execution. In this episode of Sharkpreneur, Seth Greene interviews Andy Culligan, Fractional CMO, CRO, and Marketing Advisor, who shares insights on scaling SaaS startups smarter and faster. He reveals the importance of strong execution and alignment between marketing and sales, offering real-world examples from his own experience helping companies overcome growth challenges. Andy emphasizes the power of being agile and staying ahead in a competitive market by building the right team and using AI to streamline processes. Key Takeaways: → Successful marketing for SaaS requires a focus on both volume and high-ticket clients, depending on your product offering. → Marketing teams often face roadblocks, and it's critical to provide them with the tools and processes to stay on track and reach goals. → Many SaaS companies struggle with hiring skilled professionals quickly — Andy's team helps plug that gap with experienced marketers. → The typical challenge for SaaS startups is executing their go-to-market strategy, and Andy's team helps implement plans that drive immediate results. → Andy's company, Purple Path, focuses on delivering scalable marketing solutions by combining experienced strategy with agile execution. As a Fractional CMO, CRO, and Marketing Advisor, Andy Culligan helps your sales and marketing teams focus on commercial success. His approach is a pure account-based marketing play. Providing your organization with a bullshit-free approach to Account Based Marketing (ABM), motivating and exciting your teams and delivering better outcomes, i.e. revenue. Connect With Andy: Website: https://andyculligan.com/ LinkedIn: https://www.linkedin.com/in/andy-culligan/ Learn more about your ad choices. Visit megaphone.fm/adchoices
In this HANDS-ON episode of GTM Live, we're ditching theory and building a real go-to-market strategy live—using AI, public data, and a completely different approach to finding and messaging prospects.Join host Amber Williams and special guest Jordan Crawford, the "OG GTM Engineer" and early advisor to Clay, for a masterclass in pain-qualified segmentation. Watch as Jordan demonstrates how to use ChatGPT to identify prospects who actually need your solution and craft messages that deliver independent value before you ever ask for a meeting.What You'll Learn:Why traditional ICP scoring is "mental masturbation for executives" and what to do insteadHow to work backwards from customer pain using public data and AIThe game-changing concept of "the list is the message"How to identify demonstrable value props that competitors can't replicateWhy vertical SaaS has a hidden advantage (and what horizontal SaaS can learn)PLUS: Real-time walkthrough: Finding pain-qualified prospects for a clean energy platform using only ChatGPT and public dataAI has transformed tools from "access" to "power tools" overnight. Leaders can no longer delegate strategy to RevOps and hope for the best. You need to get your hands dirty with the data to understand what's actually possible.
Episode web page: ----------------------- Episode summary: In this episode of Insights Unlocked, Nathan Isaacs talks with marketing powerhouse Bill Macaitis—former CMO of Slack, Zendesk, and Salesforce—about how B2B companies can scale efficiently by prioritizing customer experience, building authentic brands, and embracing new go-to-market models. Bill shares lessons from his career and dives into the importance of customer-centric cultures, long-term thinking, and the strategic use of AI in modern marketing. What you'll learn in this episode: Why capital-efficient growth beats “growth at all costs”—and how to build it The playbook for operationalizing customer centricity in a B2B environment How to align teams across marketing, product, and sales with shared metrics What most companies get wrong about attribution models How AI can empower marketers—without replacing them The secret to building a B2B brand people actually love (and talk about) Tips for individual contributors to challenge legacy playbooks and advocate for change About the guest: Bill Macaitis is an executive advisor and board member who has led marketing at some of the most iconic names in SaaS, including Slack, Zendesk, and Salesforce. Known for his customer-first approach and bold brand vision, Bill now advises AI startups on how to build scalable, loved companies from the ground up. Resources & Links: Bill Macaitis on LinkedIn (https://www.linkedin.com/in/bmacaitis/) SaaS CMO Pro website (https://www.saascmopro.com/) SaaS CMO Pro newsletter (https://saascmopro.substack.com/) Bill's YouTube videos (https://www.youtube.com/@SaaSCMOPro/videos) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast
In this episode of Technology Reseller News, Doug Green interviews Lyle Pratt, Founder & CEO of Vida.io, following the company's announcement of a $4 million Series A funding round—a major milestone marking rapid growth, platform maturity, and expanding traction across MSPs, SaaS vendors, and business software providers. Pratt explains that Vida.io is an AI Agent Operating System for business, designed to help companies deploy, manage, monitor, and scale AI agents that perform real work across voice, SMS, email, and web chat. While many products offer a chatbot or voice agent, Vida.io delivers the full operational backbone required for real-world use: observability, SOC 2/HIPAA compliance, billing-as-a-service, UI components, and detailed interaction scoring. Since the last podcast, Vida.io has grown dramatically, surpassing 100 million AI agent interactions and onboarding a rapidly expanding network of partners. Initially focused on MSPs, the platform is now widely adopted by SaaS companies that embed AI agent capabilities directly into their vertical applications—roofing, moving, and other SMB-focused sectors—bringing instant scale to Vida.io's distribution. A key breakthrough discussed in the interview is Vida.io's ability to deliver low-latency, high-intelligence voice agents that reliably meet real-world customer experience expectations. “If latency is off even slightly, users get frustrated. We had to solve that,” Pratt notes. The result: AI agents that in many cases outperform humans, including one customer reporting 40% more meetings booked compared to human-based calling teams. Vida.io's partner program remains the company's primary growth engine. MSPs are now using AI agents to capture revenue from call flows they previously handed off to outsourced call centers—often redirecting hundreds of thousands of monthly minutes back into their own billing. The platform also supports direct SIP registration, enabling AI agents to function as standard PBX extensions across NetSapiens, Broadsoft, Metaswitch, and other systems widely deployed by MSPs. Pratt emphasizes that the AI revolution is fundamentally redefining UCaaS and business communications: “When the price of intelligence approaches zero, the entire enterprise software ecosystem transforms.” Even if LLM progress froze today, he argues, the impact on communications and business automation would still be historic. As the industry approaches 2026, Pratt sees a major new revenue frontier for MSPs—one that doesn't require deep AI expertise but does require timely action. Vida.io provides the tools to make AI agent deployment fast, repeatable, and profitable. To learn more or join the partner program, visit https://vida.io/. Software Mind Telco Days 2025: On-demand online conference Engaging Customers, Harnessing Data
Continuum is solving the multi-party return problem in B2B supply chain—a transaction involving distributors, manufacturers, and end users that previously took 30-45 days and now completes in 30-45 seconds. In this episode of Category Visionaries, we sat down with Alex Witcpalek, CEO and Founder of Continuum, to unpack how he's building what he calls "reverse EDI" in a market of 1.5 million distribution and manufacturing companies across North America. After 13 years selling technology into this space, Alex is now growing 8x year-over-year by turning customers into the primary acquisition channel through network effects. Topics Discussed: Why multi-party returns require replicating order management, warehouse management, and procurement systems simultaneously The tactical sequencing of building network businesses: solving for independent value, achieving critical mass, then activating network effects How Continuum navigates deep ERP integrations (SAP, Oracle, NetSuite, Epicor) plus bespoke business logic across multiple supply chain tiers Facebook retargeting, BDR outbound, events, and customer referrals as the four channels driving growth in a non-PLG market Why business model differentiation is the only remaining moat when technical barriers collapse Building domain expertise distribution systems using AI-powered LMS fed by sales call recordings GTM Lessons For B2B Founders: Choose problems where you can capture 100% of addressable market, not fractional share: Alex deliberately avoided competing in CRM, sales order automation, or accounts payable—categories where even dominant players cap at 25-30% market penetration. Instead, he targeted multi-party reverse logistics, a greenfield problem no one else was solving. This strategic choice eliminates competitive displacement risk and allows every prospect conversation to focus on change management rather than competitive differentiation. Founders should map their TAM against competitive saturation: markets where you can own the entire category create fundamentally different growth trajectories than fighting for fragments. Sequence network businesses: independent value → critical mass → network activation: Alex was told by investors 18 months in that network effects "weren't going to work." His insight: "When you don't have a network, you don't sell the network. It's just in your plans and how you're building." Continuum sold P&L impact, manual labor reduction, and customer experience improvements to early adopters while building network infrastructure invisibly. Only after achieving density in specific verticals (HVAC, electrical, plumbing) did they surface the network value proposition. This sequencing prevents the cold-start problem—founders building marketplace or network businesses must design standalone value that makes the first 100 customers successful independent of network density. Exploit high pain thresholds in legacy industries as competitive barriers: Supply chain companies accept 30-45 day return cycles, manual warranty claims on paper, and playing "guess who" by phone to find inventory across distributor branches. Alex notes they have "extremely high pain threshold" from living with broken systems for decades. While this creates longer education cycles, it also means competitors won't enter (too hard) and once you prove ROI, switching costs become prohibitive. Founders should reframe customer inertia: industries tolerating obvious inefficiencies offer category creation opportunities with built-in moats, not just sales friction. Business model architecture is the only defensible moat—technical differentiation is dead: Alex is building his own e-signature platform (Continue Sign) and AI LMS using vibe coding to prove technical moats no longer exist. Continuum's defensibility comes entirely from network lock-in: displacing them requires disconnecting manufacturers like Carrier, Daikin, and Bosch plus their entire distributor ecosystems simultaneously. He references EDI (1960s technology still dominant today) as proof that network effects create permanent advantages. Founders must architect switching costs, network density, or proprietary data advantages into their business model—technology alone provides zero protection in the AI era. Match channel strategy to actual ICP behavior, not SaaS conventions: Continuum's top lead source is customer-driven network growth—distributors recruiting manufacturers and vice versa. Facebook retargeting works because their 50+ year-old supply chain buyers "are trying to comment on their grandkids' pictures," not scrolling LinkedIn. BDR outbound still delivers high win rates in an industry where business happens on handshakes, making events critical. This channel mix would fail for PLG products but works perfectly for enterprise cycles with $40K ACVs and 90-day sales processes. Founders should ethnographically research where their specific buyers actually spend attention rather than defaulting to LinkedIn, content marketing, or PLG based on what works in adjacent categories. Use 90-day enterprise cycles and multi-stakeholder complexity as qualification, not friction: Continuum runs enterprise sales motions for $40K deals because multi-party returns touch 16 constituents across sales, customer service, fleet, supply chain, warehouse, purchasing, and finance. Rather than trying to simplify buying, Alex uses this complexity as a filter—companies willing to coordinate VP of Supply Chain, COO, and CFO alignment are serious buyers. He layers three value propositions (P&L impact, labor reduction, customer experience) knowing different stakeholders weight them differently. Founders selling into complex environments should embrace multi-threading as a qualification mechanism that improves win rates and reduces churn, not overhead to eliminate. // 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
SummaryIn this episode of the In/organic Podcast, co-host Christian Hassold shares insights from the KPMG Technology M&A Conference, discussing the current landscape of mergers and acquisitions, particularly in the tech sector. In this episode, Christian shares highlights from the conference, including the pervasive influence of AI on M&A decisions, the challenges and opportunities presented by the AI investing landscape, and the importance of creative deal structures in navigating the current market dynamics. The episode also covers the “operator's dilemma” faced by CEOs - that is, the rise in peer pressure to do M&A, and what are the best practices are from leading strategics. Finally, Hassold provides an overview of current B2B SaaS deal activity and market trends based on Pitchbook data.TakeawaysThe KPMG M&A Conference provided valuable insights into current market dynamics.AI is a major factor influencing M&A decisions and strategies.VCs are increasingly making investments in AI startups without getting governance rights, and not always checking the underlying economics of the businessThe operator's dilemma highlights the challenges that CEOs face in mergers and acquisitions (M&A).Corporate development roles are seeing a significant increase in demand.Top CEOs simplify their M&A strategies to focus on core problems.Deal activity in the tech sector is on the rise, indicating a healthy market.Earnouts are becoming a significant component of deal structures.Chapters00:00 Introduction and Context of the Episode02:50 Insights from the KPMG M&A and Tech Conference06:04 AI's Pervasive Influence on Tech and M&A08:54 The AI Investing Landscape11:40 Deal Structures Sparking Innovation16:42 The Operator's Dilemma in M&A21:48 Corporate Development and Deal Activity24:38 Priorities in M&A for Corporates vs. Private Equity29:19 Case Studies of Successful M&A Strategies32:59 Market Update on Deal Activity and EarnoutsConnect with Christian and AyeletAyelet's LinkedIn: https://www.linkedin.com/in/ayelet-shipley-b16330149/Christian's LinkedIn: https://www.linkedin.com/in/hassold/Web: https://www.inorganicpodcast.coIn/organic on YouTube: https://www.youtube.com/@InorganicPodcast/featuredEpisode ReferencesKPMG M&A Conference AgendaKPMG 2025 Deal Market Study (buyer priorities)Kirkland & Ellis M&A Bring Down Report 2025 (earnout data) Hosted on Acast. See acast.com/privacy for more information.
On this episode of How We Got There, I am joined again by Jason Hoult, the Founder and former CEO of Anvil App Works who was acquired by Tractor Zoom in 12/2023, for part 2! If you missed it, give our first episode together from July 2023 a listen. It was an excellent episode where we talked about a wide range of topics, but my highlight was his approach to company building & nailing a niche. You don't have to start a business that is a massive multi-trillion TAM. Jason got great advice to stick with what he knows well, Salesforce & John Deere dealerships. You can later expand from there, like they did to expand other types of dealerships.On this episode, we look back into how he met their acquirer, initially at an event that both companies were sponsoring. Talk about an ROI from sponsoring a trade show!Jason shares openly about the courting process but also talks about how the partner relationship started with a formal partnership & co-marketing agreement. This enabled both teams to lean in and prove the mutual customer value before taking the next steps. We talked about how he knew it made sense to sell from a timing pov and lessons learned to help you avoid a couple mistakes (like some paperwork with customer agreements). Jason is a true believer of EOS to help align a company on strategy & values.He is such an asset to the ecosystem with his transparency & authenticity. I hope you enjoy this session even half as much as I did. This episode is brought to you by Tequity Advisors . Tequity Advisors is a global sell-side M&A advisory firm with core expertise in SaaS and ISVs, Salesforce, ServiceNow, SAP, Microsoft, all things Data and AI, and the hyper scaler MSP cloud ecosystems with a focus on the Salesforce ecosystem and beyond!
What if scaling your tech business was as simple—and as flexible—as snapping together a few Lego bricks? In this 10 Minute Tech Talks episode, we break down how modular, on-demand infrastructure is becoming a game-changing advantage for today's tech entrepreneurs. Dave Tomassoni of Megaport gives insights reveal why agility is no longer a luxury — it's a competitive necessity. Dave details: 1. How adopting a "Lego mindset" can reduce complexity and help you scale globally without slowing down. 2. The hidden ways your current network setup may be costing you money, time, and competitive advantage. 3. Why the most successful tech entrepreneurs build for flexibility first — and how you can, too. If you want the blueprint for faster scaling, leaner operations, and smarter tech decisions, press play and get the insight every modern entrepreneur needs. Produced by the Pittsburgh Technology Council, this is a podcast for tech and manufacturing entrepreneurs exploring the tech ecosystem, from cyber security and AI to SaaS, robotics, and life sciences, featuring insights to satisfy the tech curious.
Send us a textCheck us out at: https://www.cisspcybertraining.com/Get access to 360 FREE CISSP Questions: https://www.cisspcybertraining.com/offers/dzHKVcDB/checkoutGet access to my FREE CISSP Self-Study Essentials Videos: https://www.cisspcybertraining.com/offers/KzBKKouvA graphing calculator running ChatGPT might make headlines, but our real job is keeping sensitive data from walking out the door. We break down the data states that matter most—at rest, in transit, and in use—and show how to pair encryption, access control, and monitoring without drowning in complexity. Along the way, we share a pragmatic blueprint for classification and labeling that teams actually follow, from visual tags and watermarks to tightly governed upgrade and downgrade paths that keep owners accountable.From there, we zoom out to strategy. Risk tolerance drives control selection, so we talk through scoping and tailoring: how to apply NIST and ISO 27001 sensibly, where GDPR and HIPAA come into play, and why focused logging beats “collect everything” fantasies. You'll hear the real differences between DRM and DLP—licensing and usage enforcement versus data path control—and when each tool earns its keep. We also lay out transfer procedures that work in the wild: SFTP with verified keys, email encryption, FIPS‑validated USBs, and restricted cloud shares with time‑boxed access.Cloud isn't a blind spot when a CASB sits between your users and SaaS. We explain how a CASB delivers visibility into shadow IT, enforces policy across apps, integrates with identity for conditional access, and even helps you rein in egress costs. Tie it all together and you get a layered, test‑ready approach that helps you pass the CISSP while protecting what matters most. If this helped sharpen your plan, follow the show, share it with a teammate, and leave a quick review so we can keep building tools that move you forward.Gain exclusive access to 360 FREE CISSP Practice Questions at FreeCISSPQuestions.com and have them delivered directly to your inbox! Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!
Richardson Dackam, a solo developer known for rapidly creating AI-first SaaS products, shared insights into his development process during a recent episode of the Business of Tech. Dackam emphasizes the importance of identifying manageable problems that can be solved quickly, which he refers to as "done for you ideas." His approach involves extensive research to create a Product Requirement Document (PRD) and context engineering for AI agents, enabling him to build prototypes in a matter of hours or days. He leverages various services, such as Magic Link for authentication and Superbase for databases, to streamline his workflow.Dackam's success is exemplified by his application, 8nodes, which serves as a workflow generator for N8n, currently attracting around 500 users. He utilizes multiple distribution channels, including his YouTube channel and contributions to AI communities, to promote his tools. Although 8nodes is not yet generating revenue, Dackam is focused on improving the product's speed, which he identifies as a critical pain point for users. He tracks user engagement metrics daily to inform his optimization efforts.The episode also addresses the balance between rapid prototyping and maintaining product reliability and compliance. Dackam asserts that he builds with an SOC 2 compliance mindset, ensuring that user data is handled securely. He discusses the challenges of scalability and uptime, noting that he relies on services like AWS and Vercel to manage these aspects effectively. By separating his landing page from the application, he ensures that marketing efforts remain uninterrupted even if the app experiences downtime.For Managed Service Providers (MSPs) and IT service leaders, Dackam's approach highlights the potential for rapid development cycles while maintaining a focus on security and compliance. His insights into the challenges of integrating AI into business processes underscore the need for organizations to understand their workflows before adopting automation solutions. As businesses navigate the complexities of AI deployment, the emphasis on iterative improvement and user feedback can inform strategies for successful product development and market fit.
In episode #329, Ben Murray, The SaaS CFO, breaks down the growing debate around SaaS economics versus AI economics. A recent post claimed that “SaaS metrics are broken” and that traditional KPIs no longer apply to AI companies. Ben challenges this idea and walks through why recurring revenue metrics still matter, how revenue models differ across SaaS and AI, and what CFOs need to understand about gross margin, unit economics, and total addressable market. Key Topics Covered Why claims that SaaS metrics are “broken” are inaccurate The difference between SaaS economics and AI economics Why recurring revenue metrics still apply to AI companies How subscription versus usage revenue impacts KPI calculation Gross margin expectations for SaaS vs. AI companies Whether AI companies truly generate more profit per customer The role of absolute profit versus per-customer economics How AI may expand TAM by targeting labor budgets, not just software budgets How Agentic AI affects financial modeling and cost structures Using ROSE (Return on Software Employees) to evaluate AI-driven ROI What You'll Learn Why SaaS metrics still matter for both SaaS and AI companies How CFOs should evaluate margins, ARR, and revenue quality in AI models The difference between rate-based economics (ARPA, ACV) and volume-based economics (absolute profit) How to think about financial strategy when transitioning from a pure SaaS model to an AI-embedded product model How to assess realistic AI unit economics instead of relying on hype Who This Episode Is For SaaS CFOs and finance leaders evaluating AI investments Founders embedding AI into their product and adjusting their financial models Operators who want a grounded understanding of real AI economics Investors assessing how AI shifts revenue models and margins Related Resources Ben's upcoming deep-dive blog post on SaaS vs. AI economics: TheSaaSCFO.com SaaS Metrics Foundation course for mastering KPI's, ARR, MRR, and unit economics: https://www.thesaasacademy.com/the-saas-metrics-foundation ROSE metric framework for analyzing AI-driven productivity and financial systems: https://www.thesaascfo.com/saas-rose-metric/
Financial Freedom for Physicians with Dr. Christopher H. Loo, MD-PhD
✅ If you're looking to scale companies and hit growth targets without burning out or losing control, this episode with Kurt Uhlir is packed with powerful frameworks and real-world experience.In just 23 minutes, you'll hear how Kurt Uhlir, CMO at Easy Home Search and an expert in growing companies past $250M, answers the very questions you're searching for:How do I build systems that scale beyond $10M in revenue?What's holding my startup back from scaling up?Is taking venture capital really worth it—or will it destroy my business?How do I lead teams without being a micromanager or burning out?Kurt has been behind over 60 funding rounds and multiple IPOs. He's not just giving theory—he's been in the trenches, scaling SaaS, tech, and real estate platforms. He shares how he transitioned from founder to scaler, and why most founders should do the same if they want long-term success.
The Entreprenudist Podcast: The Place To Hear Real Entrepreneurs & Business Owners Bare It All
100 How a Construction Worker Built a Fast-Growing SaaS Company The Entrepenudist Podcast https://entreprenudist.com From the construction site to the startup world, this episode of The Entreprenudist Podcast features Fabian Videla, CEO of Permit Rockstar Inc., who shares how he went from swinging hammers to scaling SaaS. He breaks down the real-world pain points that inspired him to build Permit Rockstar, a platform transforming how contractors navigate the permitting process. In this episode, we explore:
Michael Ting is the Head of Revenue at Jaxxon, a large and growing men's jewelry ecommerce business. Reach out to Michael on LinkedIn at https://www.linkedin.com/in/michaeltinggt/ and on X at https://x.com/michaelandeggie.FOLLOW UP WITH ANDREW X: https://x.com/andrewjfaris Email: podcast@ajfgrowth.comWork with Andrew: https://ajfgrowth.comINTELLIGEMSIntelligems brings A/B testing to business decisions beyond copy and design. Test your pricing, shipping charges, free shipping thresholds, offers, SaaS tools, and more by clicking here: https://bit.ly/42DcmFl. Get 20% off the first 3 months with code FARIS20.RICHPANELCut your support costs by 30% and reduce tickets by 30%—guaranteed—with Richpanel's AI-first Customer Service Platform that will reduce costs, improve agent productivity & delight customers at http://www.richpanel.com/partners/ajf?utm_source=spotify.
Join Brad and Scott Cate as they chat about Time-of-Day Marketing and figuring out the best time of the day to get the right message to customers. Scott Cate is a SaaS innovator with more than three decades of experience. Since 1991, Scott has navigated the evolution of software—from the days of floppy disks to the cutting-edge, cloud-native solutions we rely on today. He's seen hundreds of startup failures, made several successful exits, and served in key engineering roles at industry giants like Microsoft and Amazon. Scott blends this deep technical expertise with his talents as a public speaker to inspire and engage audiences. Scott excels at identifying unmet needs and turning them into transformative solutions. Having traveled to 52 countries and flown more than 2 million miles, he's experienced firsthand the challenges that global marketing teams face when it comes to managing links at scale. His insights into the lack of sophisticated link management tools (particularly for tasks like intelligent routing, bot detection, and traffic validation) became the driving force behind 301.Pro. Visit thedigitalslicepodcast.com for complete show notes of every podcast episode. The Digital Slice Podcast is brought to you by Magai. Up your AI game at https://friedmansocialmedia.com/magai
Gaurav Bhasin is the founder and managing director of Allied Advisers, an M&A advisory firm whose principals have completed over 100 sell-side transactions for software and tech founders. After two decades in investment banking and tech M&A, Gaurav is a sell-side advisor to B2B software founders who have built successful businesses and want to explore selling their companies. Allied Advisers typically works with founders selling their businesses for $20M–$200M, helping them prepare materials, run a competitive process, and negotiate terms. We discuss how today's M&A market looks very different from the 2021 bubble. Valuations have normalized, deal timelines have increased, and buyers are more disciplined. But the demand for profitable, steadily growing SaaS companies is stronger than ever. Gaurav breaks down strategic and private equity buyers, what metrics matter most, how AI influences valuations, and why most founders underestimate the emotional and operational effort required to sell. For practical founders thinking about an exit in the next few years, this episode provides clear expectations and tactical guidance. Key Takeaways Profitable Growth Wins — Buyers prefer SaaS companies growing 20–50% with real profits over faster revenue growth fueled by burn. Metrics Drive Valuation — Net retention above 110%, gross retention above 90%, and >75% gross margins increase valuation and buyer interest. Run a Real Process — A single buyer gives you no leverage. Multiple qualified buyers improve pricing, terms, and closing certainty. AI Is Lipstick — But Real — You don't need to be AI-native. Practical AI that improves product, margin, or GTM still increases buyer interest. Quote from Gaurav Bhasin, founder and managing director of Allied Advisers "The good news for SaaS founders is that the private equity community has raised about $1.5 trillion of capital, and more is being raised. And they also have access to debt. So there's $7 trillion of dry powder to do deals. Private equity is not paid to sit on the cash. And they love recurring revenue software. "Private equity investors will typically move much faster than strategic buyers. Strategics will take a while. You need a business unit sponsor to buy into the vision, and then they will push the corporate to do the deal. But with the private equity, they will look at your financial metrics and if you fit in, they can move pretty fast. "The one caveat with private equity compared to strategic is they generally pay a little bit less than the strategics because strategics have established distribution and GTM for higher growth, so private equity will index more on the financials." Links Gaurav Bhasin on LinkedIn Allied Advisers on LinkedIn Allied Advisers website 2025 Vertical SaaS Report - Allied Advisers Podcast Sponsor – Fraction This podcast is sponsored by Fraction. Fraction gives you access to senior US-based engineers and CTOs — without full-time costs or hiring risks. Get 10 to 30 hours per week from vetted and experienced US-based talent. Find your next fractional senior engineer or CTO at fraction.work. You can start with a one-week, risk-free trial to test it out. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding. A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.
Anthony Lye joined Quid 14 months ago to lead a complete business model transformation. With three decades in Silicon Valley including executive roles at Palantir, NetApp, Oracle, and Siebel Systems, Anthony has operated through every major technology disruption. At Quid, he's dismantling the traditional SaaS playbook—eliminating seat-based pricing, collapsing the software/services separation, and refocusing the entire company on delivering measurable business outcomes rather than analytics tools. In this conversation, Anthony explains why most SaaS companies will fail in the AI era, how Palantir's forward-deployed engineering model creates defensible value, and the specific mental models founders need to reimagine their businesses before disruption makes the decision for them. Topics Discussed How Silicon Valley's technology oligopolies turn over every five years Why AI shifts technology from features to benefits for the first time Quid's transformation from social listening SaaS to outcome-based insights delivery The separation of software and services as a structural flaw in SaaS economics How forward-deployed engineers at Palantir and Quid collapse the services layer Why SaaS failed knowledge workers while email remained dominant Discontinuity theory and how oligopolies resist then capitulate to disruption The "fired tomorrow, compete with yourself" thought experiment for strategy clarity How to build executive teams as custodians rather than functional heads GTM Lessons For B2B Founders Collapse software and services into outcome delivery: Quid eliminated seat-based pricing and module sales, shifting from IT budget to labor budget by selling insights, trends, and actionable information directly. This repositioned the product from a tool requiring sophisticated data scientists to a team augmentation service protecting brand health and driving commerce decisions. The business model change fundamentally altered buyer, buying process, and deal economics. When your product requires customization or professional services to deliver value, you've identified a structural opportunity to collapse both layers. Deploy the "fired and competing" thought exercise: Anthony's mentor advised imagining your board fires you tomorrow and you immediately compete against your own company. List the three things you'd do on day one to win. Then ask why you're not doing those things now. This exercise cuts through organizational inertia and reveals the obvious strategic moves you're avoiding. The discomfort in your answers indicates where you need to act. Match decision velocity to execution needs, not comfort: Tom Brett at Menlo Ventures told Anthony to increase from 3-4 decisions weekly to 50. The forcing function prevents overthinking and eliminates "second guessing paralysis." Organizations need clarity and direction more than perfect decisions. Write down every decision, communicate it clearly, and publicly reverse course when wrong. This builds a culture where being decisive and correctable beats being slow and theoretically optimal. Recognize when your hypothesis expires: Quid's social listening thesis was correct initially, but markets evolved while the company didn't. The problem remained valid (understanding brand health, shopping trends, product innovation signals), but the SaaS tool-based solution became untenable as data complexity demanded sophisticated users, shrinking addressable market. Founders must distinguish between persistent customer problems and expired solution approaches. Your original hypothesis has an expiration date. Identify the ox that gets gored: Every deal requires customers to stop spending elsewhere. You must be 10x faster or one-tenth the cost to overcome status quo bias. Explicitly identify which vendor or budget line you're displacing, then validate your value proposition can actually displace it. Most startups fail this calculus and wonder why proof-of-concept success doesn't translate to procurement approval. Start with blank canvas, fail backwards to SaaS: When reimagining for AI, don't bolt features onto existing architecture. Begin with first principles about what customers actually want to accomplish, design that solution using current capabilities, then fall back to SaaS components only where necessary. Anthony warns that additive approaches preserve structural constraints that prevent you from capturing the full opportunity. // 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
Pour l'épisode de cette semaine, je reçois Reda Ouafi, cofondateur et CTO de Juno.Juno est une plateforme qui permet aux industriels d'optimiser leurs procédés de production en combinant données machines, mesures qualité et expertise métier des ingénieurs process. L'objectif : augmenter la qualité, améliorer le débit et réduire la consommation énergétique grâce à des recommandations opérationnelles exploitables dès le lendemain.Au cours de cet épisode, Reda revient sur le pivot majeur de Juno. Leur premier produit — un outil de traçabilité terrain apprécié par les utilisateurs — peinait à démontrer un ROI clair pour les décideurs. Ils ont donc opéré une transformation profonde pour devenir un produit ROI-first, centré sur l'amont du process industriel : comment régler une machine pour obtenir un gain immédiat et mesurable.Nous avons longuement parlé :- de la captation de l'expertise tacite des ingénieurs procédés,- de la combinaison entre data historique, mesures qualité et connaissances métier,- de la manière dont Juno construit ses modèles IA (ML, deep learning, GenAI),- de leur approche “vibe coding” pour générer des micro-apps adaptées à chaque client,- et du nouveau go-to-market orienté groupes industriels internationaux.Enfin, Reda explique comment certains industriels dégagent plusieurs millions de dollars grâce à ces optimisations, et comment Juno explore aujourd'hui des modèles de pricing liés à la performance.Vous pouvez suivre Reda sur LinkedIn.Bonne écoute !Mentionnés pendant l'épisode :OSS VenturesIndustrie du FuturLa French FabPour soutenir SaaS Connection en 1 minute⏱ (et 2 secondes) :Abonnez-vous à SaaS Connection sur votre plateforme préférée pour ne rater aucun épisode
Jason Patel is the Co-founder and CEO of Open Forge AI, a B2B SaaS company that helps businesses expand their visibility across AI-driven search and answer engines. Before this, he built and successfully exited Transizion, an edtech company providing personalized career and college guidance. At Open Forge AI, Jason leads strategy and product development, leveraging his expertise in technology and marketing. He holds a bachelor's degree in political communication from The George Washington University. In this episode… The marketing landscape is evolving faster than ever, driven by the rapid integration of AI into search and discovery. Traditional SEO strategies that once guaranteed visibility are losing traction as generative AI reshapes how consumers find products, services, and brands. So how can businesses ensure they're not left behind in this new digital frontier? Drawing from his experience building AI-powered marketing tools, Jason Patel emphasizes that visibility in the age of ChatGPT requires more than traditional SEO tactics. He highlights how AI technologies are changing the rules of discoverability — brands must now optimize for ChatGPT and other AI systems, not just Google. By building tools that make websites machine-readable, automating content creation, and improving third-party citations, he's helping businesses future-proof their marketing strategies for a world where AI agents decide what gets seen. His approach bridges technical precision with strategic insight, giving companies the edge they need to stay competitive. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Jason Patel, Co-founder and CEO of Open Forge AI, to discuss how AI is transforming marketing visibility. They explore what GEO means for modern businesses, how AI agents are reshaping content strategy, and why technical optimization is vital for AI readiness. Jason also shares practical tips for entrepreneurs looking to leverage AI as a growth amplifier rather than a threat.
In this episode of Profits with Pajak, John sits down with Adam Goldwasser of Greener Technologies to talk about how robotic mowing is evolving into a SaaS model that lawn care companies can actually profit from. Adam breaks down how Greener's platform allows operators to deploy, monitor, and monetize robotic mowers across multiple manufacturers, freeing crews to focus on higher-margin work while automation handles the repetitive tasks. If you've been curious about the future of robotics in lawn care, or how to turn automation into real recurring revenue, this conversation is a must-listen. Comments and Questions are welcome. Send to ProfitswithPajak@gmail.com Episode Links: Apple Podcast Listeners- Copy and paste the links below into your browser. Upcoming Events: Show Partners: Yardbook Simplify your business and be more profitable. Please visit www.Yardbook.com Get 30 days of Premium Business level of Yardbook for FREE with promo code PAJAK Relay Relay is small business banking that puts you in complete control of what you are earning, spending, and saving. Click here to sign up for Relay and get $50.00 cash bonus!http://join.relayfi.com/promo/get-50-ulumkswykjzwi4dqsm?referralcode=profitswithpajak&utm_source=influencer&utm_medium=podcast Mr. Producer Click the link to connect with Thee Best Podcast Producer in the biz! https://www.instagram.com/mrproducerusa/ Green Frog Web Design Get your first month for only $1 when you use code, PAJAK, and have your website LIVE in 3 weeks from projected start date or it is FREE for a year. https://www.greenfrogwebdesign.com/johnpajak My Service Area "Qualify Leads Based on Your Profitable Service Area." Click on this link for an exclusive offer for being a "Profits with Pajak" listener. https://myservicearea.com/pajak Training and Courses Budgets, Breakevens, and Bottom Lines™ Workshop John Pajak's exclusive system is designed to help you avoid common failures and achieve your business' financial goals to be profitable and scale your business. https://www.johnpajak.com/offers/qvgvV8m3/checkout Yardbook Training Workshops Learn one-on-one with John Pajak to use Yardbook like a pro to streamline your business and make more money! https://www.johnpajak.com/offers/aJ9YX7aB/checkout
What will be the SaaS Pricing Strategy 2026? In this episode, Joran sits down with Tjitte Joosten—known as T.J.—to discuss the evolving world of SaaS pricing and how founders can adapt to change without losing momentum. T.J. works full-time in pricing and packaging for SaaS and AI companies. Before that, he spent years in early-stage ventures, helping them find product-market fit and close major deals. Those experiences taught him how to win large accounts without over-discounting and how to leave room for long-term growth.Through that process, T.J. discovered that pricing is not just about numbers but also about psychology and behavioral economics. The same solution can sell for $10,000 or $50,000 depending on the story told. After meeting his co-founder, who was already working in pricing, T.J. transitioned into it full-time—and it became his passion.Their conversation explores how SaaS pricing is evolving, how to experiment with models safely, when to raise prices, how to communicate changes effectively, and how freemium models may evolve in the AI era.Key Timecodes(0:00) - B2B SaaS & AI Pricing Expert(0:05) - TJ Joosten on Value Storytelling(1:13) - Future of SaaS Pricing 2026(1:28) - Why Hybrid Pricing Wins(3:10) - The Pricing Switch Risk(3:27) - Technical Debt of Pricing(5:15) - How to Test New Pricing(6:40) - Entitlement & Packaging(7:13) - When to Raise Prices(8:49) - Timing Strategy: Netflix Case(10:04) - Communicating Price Changes(11:10) - Freemium in the AI Era(12:33) - The Cost of Free Users(13:38) - From $0 to $10K MRR(14:42) - Scaling to $10M ARR(15:56) - The Founder's Role in Pricing(16:32) - Connect with TJ Joosten
Get 90 Days of Fellow's AI Meeting Assistant FREE at fellow.ai/coo This week on Between Two COOs, Michael sits down with Harris Clarke, COO at GuideCX, to talk about what steady leadership actually looks like inside fast-changing companies.Harris started his career in protocol and operations for the U.S. Department of State, where “process” wasn't just a buzzword — it was survival. He shares how those lessons translate to running a modern SaaS organization and why purpose, process, and payoff are the anchors of any good meeting.They dig into:How government discipline shaped Harris's operating styleThe “three P's” framework for productive meetingsWhy decision speed is overrated — and what Harris means by “Did anyone die or go to jail?”What he learned from executive coaching and board feedbackHow GuideCX built a new product category around customer onboardingHow AI is quietly reshaping how he manages teams and prepares communicationsWhy calm is a competitive advantage during crisis moments like SVBMichael also gives context at the top: this episode was recorded across two sessions, after a recording issue mid-interview (and yes, he's now officially a Riverside convert).It's a conversation about building trust, running tight systems, and keeping your head when everything around you is changing.Harris Clarke on LinkedInGuideCXMichael Koenig on LinkedInBetween Two COO's WebsiteEpisode Website
At what point should a founder stop running finance and accounting and hand the numbers to an expert? In episode #328, Ben Murray walks through the inflection points when SaaS founders should consider hiring a bookkeeper and/or fractional CFO to protect data accuracy, improve forecasting, and strengthen company valuation. You'll learn the warning signs that your financial systems and reporting are holding back growth—and how to build a finance function that scales with your business. What You'll Learn When to hire help by ARR stage Monthly close discipline: Why closing your books every month—accurately—is critical for investor trust. Accrual vs. cash accounting: How switching methods reveals true business performance. COGS clarity: Setting up a SaaS P&L that separates revenue streams, COGS, and OPEX for real gross-margin insight. Retention readiness: Why your MRR schedule (revenue by customer by month) is worth its weight in gold. Cash-flow forecasting: How to move beyond the bank-balance mentality to proactive cash planning. Investor presentation: Ensuring your metrics, slide deck, and financial statements tie together cleanly. Why It Matters For Founders: Delegating finance isn't failure—it's a strategic step toward sustainable scaling and higher valuation. For CFOs and Advisors: Knowing these trigger points helps you coach founders on financial readiness. For Investors: A disciplined monthly close and clean P&L build confidence in revenue quality and forecasting accuracy. Key Takeaways Growth dictates urgency: the faster you scale, the earlier you need finance expertise. A bookkeeper should close the books by mid-month to avoid costly cleanup later. Move to accrual accounting to show economic performance and support fundraising. Create an accurate MRR schedule to prove retention and ARR health to investors. Build a basic forecast to manage cash runway and hiring decisions with confidence. Resources Mentioned SaaS Metrics Foundation Course: https://www.thesaasacademy.com/the-saas-metrics-foundation Finance 101 for Founders: https://www.thesaasacademy.com/finance-101-for-saas-founders Quote from Ben “Just like I couldn't go in and code your product, most founders can't scale as CFO. At some point, finance needs a specialist so the business can keep growing on solid data.”
In this episode of This New Way, Aydin chats with Scott Knowles, the co-founder of Mello, a digital process manager designed to automate human-centric workflows. Scott shares how he reentered software development after a six-year hiatus — not through online courses or bootcamps, but through ChatGPT. With AI as his co-pilot, he rebuilt his coding skills, created software from scratch, and automated complex systems like cold outreach engines and data pipelines — all for free or nearly free. The episode is a hands-on masterclass in learning, building, and automating with AI.Timestamps00:00 - Intro0:29 – 1:12 — Introduction: Scott's background in computer engineering and management consulting2:00 – 4:18 — Founding and selling an OKR software company; early startup experience4:23 – 5:06 — What Mello is: a “digital process manager” that connects humans the way Zapier connects software5:36 – 7:00 — Returning to coding after six years thanks to ChatGPT7:42 – 8:15 — How ChatGPT helped him relearn code “like slang you forgot”9:03 – 10:13 — Learning new skills: how to ask the right questions as a beginner10:41 – 11:27 — Using ChatGPT to scope and plan projects instead of asking for instant results13:00 – 14:03 — The importance of high-level questioning before diving into code15:06 – 16:21 — When to stop and ask, “Is there a simpler way?” instead of getting lost in rabbit holes17:05 – 18:07 — The “three tries rule” for debugging with ChatGPT18:26 – 18:50 — Sometimes the fix is on Reddit: mixing AI and human answers22:01 – 27:21 — Demo: Scott's TikTok “routine scraper” app built entirely with ChatGPT-generated code27:33 – 28:14 — How the scraper uses OCR, captions, and transcripts to build structured data28:58 – 30:06 — Using ChatGPT as a code generator — no manual coding required30:49 – 32:10 — Introduction to N8N: self-hosted automation for free cold outreach33:01 – 36:33 — Step-by-step breakdown of Scott's automated email system using N8N and Google Sheets38:32 – 39:09 — Building high-quality prompts for personalized emails40:00 – 42:06 — How N8N automations replace tools like Clay and Smartlead42:33 – 43:09 — Watching the automation run in real time43:39 – 44:14 — Human-in-the-loop safety: drafts before sending46:02 – 47:05 — Scott on the future of AI and human collaboration47:17 – 48:31 — Aydin on “vibe coding” and how LLMs democratize software creation48:55 – 49:13 — Closing thoughts: start small, get quick wins, build momentumTools & Technologies MentionedChatGPT — Used as a real-time coding tutor and co-developer to build entire applications.Mello — Scott's product; a digital process manager that automates human-to-human workflows.Zapier / N8N — Workflow automation tools; N8N is self-hostable and used in Scott's cold outreach automation.Supabase — Open-source database used to store and serve data for the TikTok scraper app.Playwright — Browser automation library for scraping TikTok videos.VS Code + CodeX Plugin — Integrated code editing environment that connects directly to ChatGPT for automated coding.Fellow — AI meeting assistant that summarizes meetings, tracks action items, and integrates with other tools.OpenAI API — Powers many of the automation and text-cleaning features within Scott's projects.Subscribe at thisnewway.com to get the step-by-step playbooks, tools, and workflows.
Matthias Keller, Chief Product Officer at Kayak, shares hard-won lessons about AI product strategy and knowing when to invest in emerging platforms. With a PhD in computer engineering from ETH Zurich and 12 years at Kayak, Matthias has lived through multiple waves of AI hype—from Alexa voice skills in 2016 to today's LLM revolution. He discusses the strategic calculus of early platform bets, the painful lessons from experiments that didn't pan out, and how to recognize when technology has truly shifted. The conversation covers navigating distribution challenges when competing with giants like Google and ChatGPT, balancing first-mover advantage with execution realities, and how LLMs are democratizing AI development for engineering teams. Matthias emphasizes the critical framework: "if you build it, they may come—if you don't build it, they won't come."
2B Bolder Podcast : Career Insights for the Next Generation of Women in Business & Tech
What if the fastest way to grow your career is to reinvent how you work before the market forces you to? In this episode, I had the pleasure of sitting down with Caitlin Clark-Zigmond, a two-time entrepreneur and former CMO for Intel's global software and SaaS portfolio, to map the leap from hands-on operator to AI-powered brand builder, and why clear value translation beats clever slogans every time.Caitlin takes us from scaling a catering business to shipping Comcast Digital Voice, to leading massive B2B portfolios at Verizon and Intel. We dig into how Intel Tiber emerged to make software visible inside a hardware giant, uniting trust and security, AI and ML, edge and cloud, performance optimization, and developer workflows under a narrative customers could navigate. The result: sharper messaging, analyst clarity, and real pipeline acceleration. If your portfolio feels like a maze, her brand framework shows you how to draw a clean map.Then we get practical with AI go-to-market. Forget tool-chasing—start with painful use cases, build on clean, connected data, and let AI amplify what already moves the needle. Caitlin explains why a CDP or an MCP layer unlocks CRM, marketing automation, analytics, billing, and customer success, enabling them to communicate effectively with each other. We cover intent data for account prioritization, conversation intelligence for coaching, predictive scoring for pipeline, and agents that handle repetitive data pulls and weekly reporting so teams can focus on thinking, not tab-hopping.For leaders and modern marketers, the upskilling path is clear: achieve 30% fluency in core AI concepts, measurement, and understanding how your stack—HubSpot, Salesforce, GA, CDPs, and chat systems —actually works. You don't need to code; you need to understand revenue mechanics. We also share Caitlin's strategic networking system—the 5–5–5 method—that turns coffee chats into an operating system for your career, with value-first follow-ups that work even for introverts.We conclude with candid insights on the value of progress over perfection, investing in relationships before you need them, and redefining success in terms of client transformation, sustainable growth, and work-life integration. Subscribe, share with a friend, and tell us: what's the scary move you're finally ready to make?Resources: Website: www.clarkgp.com LinkedIn: https://www.linkedin.com/in/caitlinclarkzigmond Upcoming LILive GTM Event: https://www.linkedin.com/events/2026gtmrealitycheck-makemisalig7393722093324107776/Monthly Blog: https://gtmmaven.substack.com/p/why-the-c-suite-must-work-together
Today we delve into the tech expertise deficit and why technical depth and decades of doing the work matter more than social media followers and content creation hype. Our guest is Russ White, engineer, author, teacher, and certification developer. We begin with current events in AI, and then investigate the differences between career and influence... Read more »
#670 What if your website could tell exactly who was visiting — and rewrite itself just for them? In this episode, host Brien Gearin sits down with Brennan Dunn, founder of RightMessage — the software powering hyper-personalized websites and email campaigns for top creators like Ali Abdaal and Justin Welsh. Brennan shares how his journey from freelance developer to SaaS founder led him to build a tool that dynamically customizes webpages and emails based on each visitor's needs. He breaks down how segmentation works, why it drastically boosts conversions, and the unconventional marketing strategy that helped RightMessage bounce back stronger than ever. If you sell online, collect leads, or want better conversions without more traffic, this conversation is packed with insight! What we discuss with Brennan: + Origin story of RightMessage + Dynamic website personalization + Segmentation through surveys + Boosting conversions with tailored messaging + Big-name creators using the software + AB testing personalized sales pages + Partner webinars as marketing strategy + Pricing challenges and evolution of the product Thank you, Brennan! Check out RightMessage at RightMessage.com. Follow Brennan on LinkedIn. Watch the video podcast of this episode! To get access to our FREE Business Training course go to MillionaireUniversity.com/training. And follow us on: Instagram Facebook Tik Tok Youtube Twitter To get exclusive offers mentioned in this episode and to support the show, visit millionaireuniversity.com/sponsors. Want to hear from more incredible entrepreneurs? Check out all of our interviews here! Learn more about your ad choices. Visit megaphone.fm/adchoices
SaaStr 829: A Hands-On Guide to SaaStr's New AI Tools with SaaStr CEO and Founder Jason Lemkin We delve into the functionalities of our SaaStr AI tools, including the AI Mentor, which has been engaged over 100,000 times, providing answers to various startup-related queries. You'll see a demonstration of how our AI VC tools, including a startup valuation calculator, pitch deck analyzer, and benchmarking tool, work effectively to help startups understand their valuations, get honest feedback on pitch decks, and connect with VCs. Additionally, explore our newly launched VC matchmaking system and other AI agents that have been integral in automating and enhancing SaaStr's operations. Experience these tools firsthand and discover how they can add value to your startup journey. Visit SaaStr.ai to access these tools for free and see the comprehensive suite of AI agents that we use. 00:00 Introduction and Overview 00:14 Exploring SaaStr AI Tools 01:15 Deep Dive into Digital Jason 04:20 AI VC Tools and Fundraising 05:26 Startup Valuation Calculator 06:07 Pitch Deck Analyzer 16:16 Benchmarking Your Startup 18:51 VC Matchmaking and Research 21:58 Conclusion and Q&A --------------------- This episode is Sponsored in part by Salesforce: Connect data, automate busywork and empower teams like nobody's business with the one platform that grows with you, every step of the way. Learn how Salesforce works for Startups at salesforce.com/smb. --------------------- If you're serious about B2B and AI, you need to be in London this December. SaaStr AI London is bringing together more than 2,000 leaders and founders for two days of practical advice on scaling into the new year. We'll have speakers flying in from OpenAI, Wiz, Clay, Intercom, and all your favorite SaaS companies, including yours truly with Harry Stebbings for a live 20VC podcast. It'll be fun, and it's all in the heart of London. Don't miss out: get your tickets with my exclusive discount by going to podcast.saastrlondon.com --------------------- Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026. With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year. But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait. Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.