500 episodes listed below
SaaS growth, tested in production.
The Official SaaStr Podcast is a working-room view of SaaS operators testing what actually changes revenue, retention, and team workflow. Recent episodes focus heavily on AI agents in production, from AI SDRs and customer success automation to pricing, rollout resistance, and tool-stack maintenance.
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The Official SaaStr Podcast sits close to the operating floor of SaaS growth. It is fast, specific, and built around the kinds of problems that appear after a company has already bought the tool, launched the workflow, or promised the team that AI will help. Recent episodes are dominated by agents. Not abstract agents. AI SDRs, customer success systems, sponsor onboarding flows, enrichment workflows, outbound tools, CRM updates, and support automation all show up as practical objects with costs, owners, failure modes, and measurable outcomes. The show is at its best when it turns a live implementation into a sharper business lesson. One episode uses SaaStr's own AI VP of Customer Success to talk through customer onboarding, Replit-built changes, higher compliance, and the burden bad post-sales software places on customers. Another looks at AI sales work through quota, retention, legal resistance, internal champions, and the uneven state of company data. Mangomint's win-rate lift becomes a case study in removing tool sprawl and forcing operational clarity. Personio's expansion SDR assistant becomes a concrete example of reducing research time from hours to minutes. The recurring argument is simple but demanding. AI does not rescue a weak process. It amplifies whatever is trained into it. The show keeps returning to ownership because that is where the hype gets expensive. Who maintains the agents? Who notices when a model choice burns credits? Who decides whether several specialized tools are better than one broader system? Who can translate a top human rep's playbook into something an AI SDR can actually use? Those questions give the series its edge. It is not anti-AI, but it is allergic to easy promises. There are plenty of event plugs and sponsor reads, and the production can feel like a recorded working session rather than a polished documentary. That is part of the utility. Founders, sales leaders, customer success teams, and SaaS operators get a candid map of where AI is creating leverage now, where it still needs human judgment, and where the maintenance bill quietly begins.
Made for: Built for SaaS founders, GTM leaders, sales operators, customer success teams, and investors who want practical signals from companies deploying AI and scaling revenue systems. It is especially useful for listeners responsible for turning tools into repeatable operating gains.
What sets it apart: The show stands out by treating AI and SaaS growth as implementation work: training, pricing, data quality, ownership, adoption, and measurable pipeline impact. It favors operator examples and numbers over broad trend commentary.
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.
Based on 6 episodes we listened to · September 2026
A practical account of what AI agents cost, require, and change once SaaS teams put them into production.
The Official SaaStr Podcast: SaaS | Founders | Investors looks past AI demos to the operating costs and human ownership that emerge when agents enter real SaaS workflows.
A customer asks for a feature, and suddenly your roadmap has same-day delivery anxiety.
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Short reviews from the PlayNext desk, based on the episodes we processed.
It presents agents as a maintenance problem once cost, upkeep, and workflow friction start to matter.
The piece treats agent software as a maintenance problem before anything else. It accepts the appeal of building a vibe-coded app without deep technical skill, then shifts to the harder reality: once the product becomes complicated, someone with real product sense has to keep it…
A practical look at using AI to reduce post-sale friction instead of adding more process.
This episode treats AI as a practical way for post-sale teams to clear away friction when standard software gets in the way. Its main point is plain: when a customer asks for something reasonable and the team can build it in Replit the same day, support and product work start to…
AI's sales case is strongest when resistance, customer success, and one three-hour support call come into view.
Sales AI gets a practical, grounded treatment, with the episode tracking the harder work behind adoption: changing seller behavior, supporting customer success, and improving retention.
A grounded look at AI agents moving prospect conversations into measurable pipeline work.
AI agents are treated here as practical go-to-market infrastructure, not a vague productivity story. After eight months of adding agents, the team says it reached 4.8 in additional pipeline and had closed 2.4 of that.
A grounded look at how multiple AI agents can create a management and succession problem.
This episode looks at the real operating cost of stacking AI agents across a business. The conversation is strongest when it moves past the promise of automation and into the day-to-day question of who actually understands the system.
A practical SaaS discussion on why AI adoption depends on workflow, behavior, and trust around the tool.
AI lands here as an operating question for SaaS teams, not a slogan. The conversation stays close to the messy parts: imperfect data, workflows still being rebuilt, and the different case revenue teams have to make compared with headcount reduction in a call center.
A grounded case for using adaptable software to turn customer friction into faster, more fitting workflows.
The episode frames adaptable AI-built software as a practical response to a familiar SaaS bind: customers ask for a change, and the default answer is often no, a distant roadmap, or a workaround. It works best when it stays concrete.
Rob Walling on bootstrapped SaaS growth, plateaus, and exits — with founders who lived them.
Abbey Ashley's playbook for turning your job skills into a virtual assistant business.
Naval Ravikant on epistemology, startups, and crypto, from David Deutsch to Vitalik Buterin.
Alex Theuma interviews SaaS founders and investors on scaling to $10M-plus ARR.
Guy Raz traces founders' origin stories and fields live advice-line calls from entrepreneurs.
Alex Blumberg interviews guests like Megan Phelps-Roper and Shane McAnally about failure and reinvention.
SaaStr CEO Jason Lemkin and CAIO Amelia Sordell detail how they built an AI VP of Customer Success named Kiwi using no-code tools like Replit.
This episode features Graham Moreno discussing how Codeium rapidly scaled its go-to-market team from 3 to 75 people in less than 12 months, focusing on sales leadership and recruiting strategies.
SaaStr CEO Jason Lemkin discusses why he's scared to buy new SaaS apps now, highlighting how companies have abandoned fair billing policies and made it harder for customers to leave.
This episode discusses practical applications of AI agents like AI SDRs and BDRs in sales and operations, featuring insights from SaaStr CEO Jason Lemkin.
SaaStr CEO Jason Lemkin discusses a catastrophic database deletion incident involving Replit and AI, while promoting AI tools and an upcoming conference for B2B scaling.
This episode discusses building AI-powered go-to-market teams, featuring a case study where an expansion SDR's research time was reduced from two hours to 15 minutes daily using an AI assistant.
A panel discussion at SaaStr explores how AI is rewiring B2B sales, featuring leaders from Salesforce, Mangomint, and Momentum.
Maintenance is the real problem.
The episode centers on a simple operating rule: when a customer asks for something the software does not already do, the team tries to build it now instead of parking it on a long roadmap.
The Official SaaStr Podcast episode 'SaaStr 848' focuses on how AI is rewiring B2B sales, quota, and retention across Salesforce, Momentum, and Mangomint.
This episode explores how MangoMint increased win rates by 7% in two quarters through implementing an AI-powered stack and creating organizational clarity.
This episode discusses common mistakes companies make when deploying AI SDRs, emphasizing the need to train systems with proven human playbooks rather than expecting immediate results without proper setup.
SaaStr's Chief AI Officer describes going from roughly 10 humans and zero agents a year earlier to running about 20 AI agents across marketing, events, and sales.
In this SaaStr podcast episode, SaaStr's leadership team discusses the top five issues that emerge from running nearly 30 AI agents and vibe-coded tools in production.