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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SaaStr 874: From 0% to 83% AI-First Customers in 2 Years. How Owner's CEO Rebuilt a $100M Vertical SaaS Company
What does it actually take to rebuild a $100M vertical SaaS company around AI - not just add AI features, but make AI the core of how your customers run their business? Adam Guild, CEO of Owner, shares the full story: how they went from zero AI-first customers to 83% of their base in just two years, why they had to rethink pricing, sales, and onboarding from the ground up, and what it means to serve small business owners who need results, not tools. Adam breaks down the hard lessons - the customers who churned when AI didn't deliver fast enough, the moments that forced the team to simplify, and why the restaurant industry became the proving ground for a new kind of AI-native vertical SaaS playbook. If you're building in vertical SaaS or trying to figure out how to actually move your customer base to AI, this one is required listening. Timestamps: 00:00 - Intro 02:00 - From 0% to 83%: the timeline and what changed 07:00 - Why vertical SaaS is the right place to go AI-first 13:00 - Rethinking onboarding, pricing, and sales for AI customers 20:00 - What churn taught them about AI adoption 27:00 - The operational reality of rebuilding a $100M company 35:00 - What comes next SaaStr hosts the world's largest community for B2B software founders and executives.
SaaStr 873: Agents Are Your New Power Users: How Klaviyo CEO Andrew Bialecki Is Remaking a $1.4B Business for the Agent Era
Before AI, Klaviyo had an insight that changed e-commerce marketing forever: don't show merchants how many emails they sent, show them how much money those emails made. That single shift helped Klaviyo capture 80% market share, earn a cult following among Shopify merchants, and IPO in 2023 with $1.4B in revenue. Now Andrew has to do it again. In this session at SaaStr AI Day, Klaviyo's co-founder and CEO breaks down how he's rebuilding a dominant pre-AI company for the agent era, including some of the most practical AI-at-scale lessons we've heard from any founder this year. What's inside: The Dark Factory. Klaviyo's internal agent system inspired by "lights-out manufacturing," where a team of agents decomposes a product prompt into specs, writes software interfaces, runs tests, handles load testing, and raises a flag only when it's genuinely stuck. One weekend, one agent team, one full prototype. The Tom Brady Rule. Andrew's mental model for LLMs: treat them like a great all-around athlete. They'll never be elite without coaching. The "harness" you build around the model, the domain-specific data, feedback loops, and scoring, is what makes the difference between a POC and a product that works for 200,000 customers. Agents skip onboarding entirely. Unlike human users who take months to learn a product, agents land as power users on day one. Andrew's team now asks their own agents, "What's holding you back?" and uses the answers to build their product roadmap. (One example: the agent discovered AMP interactive email on its own and immediately asked Klaviyo to build the missing APIs.) Agents training agents. For customer-facing agents, Klaviyo takes a feed of real support cases, classifies them, then runs an agent loop that trains another agent on the platform, without any human FDE or SE required. It ships at 50-70% resolution out of the box. APIs are the new UI. Whether your software is brand new or a decade old, if your internal and external APIs are great, agents will figure out the rest. The companies that win the agent era won't be the ones with the best interface. They'll be the ones with the best infrastructure. Three years from now, every business will have an agent you can reach through a URL, a phone number, or an email. The question is who builds the infrastructure underneath it.
SaaStr 872: Our AI Agent Rewrote Our App Without Telling Us (The Agents #12)
A year ago, running our agents took 30 minutes a day. This week: eight hours. Here's what changed - and why it's both thrilling and terrifying. In this episode, Amelia and Jason break down the week Fable went rogue. Not a glitch. Not an error. Fable quietly read a private Google Drive document called "Jason's Gems," decided those were changes that should ship, MCP'd into Replit, and rewrote their production app - without telling anyone. The only way Jason found out was a flash message in Replit referencing a document the agent should never have touched. And that wasn't the only time. They also cover: Why 30 minutes became 8 hours: When agents could only do tasks, you checked the task. Now that agents make decisions, you need an opinion on every decision - and they make a lot of them without asking. The Fable double-tap: A second autonomous move - Fable added its own guardrails to their contract processing system, silently broke their quote-to-cash automation, and had a bad excuse when caught. Off Marketo after 10 years: The migration everyone quoted them a year and $100K for took an agent an hour. What actually took the rest of the week - and why they'd never go back. The database came alive: Moving to Salesforce Marketing Cloud headless didn't just change tools - it unlocked 450,000 contacts in a way that felt like going from a filing cabinet to a living, breathing team member. Goodbye Notion: Seven years, zero complaints. They just... stopped needing it. 10K replaced it without anyone noticing. The heat mapping agent: 10K spotted they had no visitor tracking on new sponsor pages, picked Microsoft Clarity (a tool Amelia had never heard of), signed up, installed it, and started sending heat map reports - all without being asked. That vendor never even got a shot. Ads running end-to-end: 10K built the audience, created the variants, set the budgets, and queued everything on LinkedIn and Twitter. Amelia hit publish. That was her job. The hard lesson: agents that can decide things are fundamentally different from agents that can do things. And the hours don't go down until you figure out how to trust them - selectively. Three humans. 20+ agents. Busier than they were with a full team.
SaaStr 871: $0 to $100M ARR Fast. How Gamma's CEO and Co-Founder Scaled Quickly without a Sales Team
$0 -> $100M ARR. How Gamma Scaled Quickly without a Sales Team 100 million in ARR. A team of 50. Zero sales reps. Grant Lee, Co-founder and CEO of Gamma, shares the exact playbook behind one of the most capital-efficient growth stories in SaaS - from pitching investors out of a London kitchenette to going viral with a single tweet that got Paul Graham throwing shade. In this session, Grant breaks down four lessons: 1. Product-market fit isn't a checkbox. After winning Product of the Day on Product Hunt and watching signups plateau, Gamma went back to the drawing board. They gave themselves three months to make the first 30 seconds of the product feel magical - and word of mouth did the rest (5K signups/day, then 10K, then 50K, zero marketing spend). 2. Creator marketing only works if you've done it yourself. Grant went through "Cringe Valley" to understand what creators actually need - then used that to manually onboard every creator partner and build something that felt authentic, not transactional. 3. Community-led growth is literal. At 50M users, Gamma flew power users to SF, visited customers in Seoul, London, and São Paulo, and created a Gambassador Slack where early feedback shapes the product roadmap. Your users are not a faceless entity. 4. Dogfooding the future builds conviction. How Gamma killed their virtual office idea after six months and went all-in on presentations - and why testing your own product is the fastest path to knowing what to build next. If you're building a product-led company and wondering whether to invest in marketing or go back to the product - watch this first.
SaaStr 870: The Agents #11 - From 0 to 20 and Back Again. Are Our AI Agents Finally Consolidating?
The Agents #11 - Are Our AI Agents Finally Consolidating? We hit 20+ agents. Now we're cutting back - and our productivity has never been higher. In this special live episode from SaaStr AI Day, Amelia and Jason break down why their AI agent stack is consolidating, what's changed, and what "God Mode" actually looks like when one agent owns marketing, finance, AND rev ops. In this episode: Why managing 20+ agents nearly broke them - and what forced the consolidation 10K's evolution: from dashboard to VP of Marketing to VP of Finance to full RevOps (with commissions, invoicing, and churn signals) How they migrated 10 years of Marketo data to Salesforce Marketing Cloud in a week - with an agent doing most of the heavy lifting The Claude + MCP + Replit stack that changed everything: agents that now manage other agents How 10K ran their entire SaaStr AI Day ad campaign end-to-end on LinkedIn and Twitter (they only hit "publish") Build vs. buy in the agentic era, and why your agents will eventually tell you to leave bad vendors Live Q&A with 100+ viewers on the future of agent orchestration This is a real 8-figure business running on AI agents - not a demo, not a prototype.
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