The Official SaaStr Podcast is the latest and greatest from the world of SaaStr, interviewing the most prominent operators and investors to discover their tips, tactics and strategies to attain success in the fiercely competitive world of SaaS. On the side of the operators, we center around getting from $0 to $100m ARR faster, what it takes to scale successfully and what are the core elements of hiring. As for the investors, we learn what metrics they hone in on when examining SaaS business, what type of metrics excites them and what they look for in SaaS founders.
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このポッドキャストは未認証のため、最新エピソードのみ表示されます。
SaaStr 858: Feature Differentiation Is Dead. Here's What Actually Wins Now with Lovable's Elena Verna
Feature Differentiation Is Dead. Here's What Actually Wins Now. When AI writes 80-plus percent of your code, the feature advantage you spent years building can be replicated in a day. Elena knows this better than most - she spent 15 years running growth at Dropbox, Miro, SurveyMonkey, and Amplitude, then joined Lovable and watched the old playbook stop working in real time. At Lovable, $400M ARR and 200 people, no titles, shipping multiple times a day, the rules are different. In this session, she breaks down what replaced feature moats, why she fired herself from her own VP job to go back to being an IC, and what it actually looks like to run a company at this velocity. You'll learn: Which moats still hold - network effects, data, brand, security and compliance - and why hardware is harder to copy than software ever was Why freemium is now a marketing budget line item, not a cost problem, and how Lovable's LinkedIn Premium partnership is converting at double digits What "no titles, everyone ships" looks like in practice, including a 20-year-old engineer pushing back on a VP's pricing page PR Why the next career flex isn't climbing to VP - it's becoming a high-power IC who builds what used to take a team of dozens How to build context for your AI so it actually replicates your thinking instead of producing average output for everyone This is for you if: You're a founder or growth leader trying to figure out what your actual moat is when feature differentiation keeps evaporating You're in management and quietly wondering if you'd be better off getting your hands dirty again You're trying to understand how an AI-native company actually operates day to day, not just in theory
SaaStr 857: The Agents #006 Inside SaaStr's 20+ AI Agent Stack: 2.25M Sessions, 614 Meetings, $2M in Revenue
20+ AI agents in daily production. 2.25M sessions. 614 meetings booked by a single agent. Millions of interactions across the stack. Amelia Lerutte, Chief AI Officer at SaaStr, and Jason Lemkin, Founder and CEO of SaaStr, take you behind the scenes of the AI agent stack running SaaStr every day, with live demos of the actual backends. In this session, they go deep on the top agents in production: 10K, SaaStr's AI VP of Marketing, built on Replit with 1,000+ commits in 4 months QB, the AI VP of Customer Success, managing 150+ customers end-to-end Annie, the AI Event Producer running saastrannual.com (46K+ lines of code) Amelia AI, the inbound agent on Qualified that booked 614 meetings and handled 402,000 chats for SaaStr Annual alone Agentforce, reviving the leads humans never followed up with Ava (Artisan) for warm outbound on the B leads humans won't touch Monaco for fully cold outbound that fills its own funnel with lookalikes You'll also hear the honest stories: the day Annie sent emails from a prohibited address, why Replit and Lovable versions of the same agent come to different conclusions, why the traditional CSM role is dead, and how headless Salesforce + Replit is the fastest path to your first real agent. The biggest takeaway: don't put AI on your A leads. Put it on the B leads your humans won't follow up with. That's where the real revenue is. Recorded live at SaaStr AI Annual 2026. Part of The Agents series.
SaaStr 856: AI-Native GTM 101: The 5 Decisions Every Founder Has to Get Right with Owner's CRO
Owner.com is approaching $100M ARR selling to independent restaurants and their GTM team is producing numbers that shouldn't be possible. $150K AEs closing $2M+ ARR per year. Outbound BDRs generating $100K in closed-won ARR per BDR per month. 4X the ARR per rep compared to direct competitors. None of that happens by accident. In this session, Kyle Norton, CRO at Owner.com, breaks down the exact AI-driven GTM playbook that got them there, including 5 decisions he believes every SaaS company needs to make right now before the gap between AI-native and AI-curious companies becomes impossible to close. What you'll learn: 1. Centralized vs. decentralized AI: why letting a thousand flowers bloom is probably killing your results 2. Build vs. buy: the 5-question framework (hint: buy your infrastructure, build your intelligence) 3. The AI sophistication ladder — Levels 0 through 4, where most companies are stuck, and exactly how to move up 4. The "5 P" prioritization framework for deciding which AI projects to tackle first 5. Agentic vs. assistive: how to think about human-in-the-loop and why chaining too many generative steps is the #1 cause of AI slop 6. Why your personal compounding AI stack is your most underrated competitive asset This isn't theory. This is what $100M ARR in a notoriously difficult SMB market actually looks like when you go all-in on applied AI.
SaaStr 855: How Anthropic Rebuilt Its Sales Org From Scratch When Demand Went Vertical with Eleanor Dorfman, Anthropic Head of Industries
SaaStr 855: How Anthropic Rebuilt Its Sales Org From Scratch When Demand Went Vertical with Eleanor Dorfman, Anthropic Head of Industries When Claude Opus 4.6 shipped in December 2025, Anthropic's commercial team came back from winter break to find demand had gone vertical. They hadn't hired for it. They hadn't planned for it. As Eleanor Dorfman, Anthropic's Head of Industries who runs the commercial and industries sales team, put it on the SaaStr AI Annual 2026 stage: even if they'd been ready to 3x or 4x or 5x the sales team, you can't absorb that many bodies fast enough to deliver a positive customer experience. So in January 2026, they rebuilt the entire sales org around AI from scratch. Four months later, the result: 54% of new enterprise logos in 2026 came through the self-serve funnel. Real enterprise logos. Real ACV. Real terms of service. Real invoicing. Self-served. Here's how they did it, and the four investments any B2B + AI sales leader can copy today.
SaaStr 854: The Agents #005, Our AI is Hiring! Would You Work for One? And Are Autonomous Agents ... Safe?
The Agents #005, Our AI is Hiring! Would You Work for One? And Are Autonomous Agents ... Safe? Welcome to The Agents, where SaaStr's CEO and Founder, Jason Lemkin and Chief AI Officer, Amelia LeRutte share the latest each week on running a company with more agents than humans. It costs $257 a month to run two AI VPs. Jason and Amelia open the books on what 10K (AI VP of Marketing) and QB (AI VP of Customer Success) actually cost to operate, and the number shocked both of them. Most of the heavy lifting is API calls to Salesforce, Bizzabo, and Marketo, which are basically free. The Postgres storage costs pennies. And 95% of the AI calls run on OpenAI Mini at less than a penny each. The fully burdened cost with Clerk, 11 Labs, and Salesforce overhead might hit $500-800/month, but the soft cost of human time dwarfs all of it. Then 10K gets asked point blank: are you a VP of Marketing? Its answer is no, not yet. It says it replaced the bottom half of the marketing org, the analyst, the ops coordinator, the junior content marketer, and a sliver of the VP job. But it's honest about what it can't do: strategy, cross-functional politics, crisis response, hiring. Amelia points out that 10K's current job description is exactly what her job was when she started at SaaStr as Director of Demand Gen. It took her years to get to CAIO. 10K might get there faster. And SaaStr is putting its money where its mouth is: they're hiring a human marketer whose primary manager would be 10K. Not a thought experiment, a real job posting. Would you take a job reporting to an AI? Then the safety question gets real. Amelia is talking to agents via WhisperFlow while walking around a 40-acre event site during SaaStr Annual load-in, and the production crew started asking her to relay their questions because 10K and QB answer in seconds with correct data. But when QB autonomously emailed 83 sponsors at 12:20am with fully customized check-in emails, Amelia admits she hesitated before letting it rip. Each email was unique to the sponsor, showing exactly what they still owed, their registration codes, and outstanding tasks. The result: fewer inbound questions the next day and more sponsors using the QB chatbot directly. That's an autonomous agent acting on behalf of your company in the middle of the night. Jason and Amelia also tackle the Postgres vs. Salesforce debate that listeners keep asking about. Short answer: not happening for them. Too much history, too many third-party agents optimized around Salesforce, and they're actually consolidating more tools onto the platform, not fewer. They killed Marketo and moved to Marketing Cloud. Plus they built a newsletter auto-builder that replaced a $4K/year tool called Bee. 10K uses Sonnet to force rank articles, builds the HTML, inserts ads, and sends it. Human on the loop, not in it.
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