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The Official SaaStr Podcast: SaaS | Founders | Investors

The Official SaaStr Podcast: SaaS | Founders | Investors

Getting From $0 to $100m ARR Faster

Jason M. Lemkin 🦄

482 episodesEN

Show overview

The Official SaaStr Podcast: SaaS | Founders | Investors has been publishing since 2016, and across the 10 years since has built a catalogue of 482 episodes. That works out to roughly 200 hours of audio in total. Releases follow a weekly cadence.

Episodes typically run twenty to thirty-five minutes — most land between 22 min and 30 min — and the run-time is fairly consistent across the catalogue. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language Business show.

The show is actively publishing — the most recent episode landed 1 weeks ago, with 29 episodes already out so far this year. The busiest year was 2020, with 98 episodes published. Published by Jason M. Lemkin 🦄.

Episodes
482
Running
2016–2026 · 10y
Median length
26 min
Cadence
Weekly

From the publisher

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. cloud.substack.com

Latest Episodes

View all 482 episodes

Top 5 Learnings from Vercel’s COO: 10 SDRs Down to 1, a $5K-a-Year Lead Agent, and 93% of Support Cases Handled by AI

Nov 4, 20260 min

Databricks CRO Ron Gabrisko: 5 Interesting Learnings on Selling at a $190B AI Company: Flat SDR Headcount, 6-10% Reply Rates, and Free Seats That Unlocked Consumption

Oct 28, 20262 min

The Agent-Led Growth Playbook: A 10-Minute Inbound Booking, a 46-of-50 AEO Score, and Why First-Party Data Beats Every Signal Tool | The Agents #017

Oct 23, 20262 min

Owner.com Did an AI Rebuild to Accelerate Past $100M ARR. The 7 Top Lessons, and What It Takes to Copy Them

Aug 24, 20262 min

Klaviyo’s CEO on Building at $1.5B ARR With Agents: “Dark Factory,” Composer, and Why Every Single Employee Had to Hit L3 by June

Aug 16, 20263 min

Claude Became Our AI VP of Product. We Moved 10 Years Off Marketo for $14. Our Agent Killed a $10K App in an Hour: The Agents #010

Jul 17, 20261 min

$500M ARR, 60 Engineers, Cash-Flow Positive: How Higgsfield Actually Runs, With CEO Alex Mashrabov

Jul 10, 20263 min

Databricks' Co-Founder Arsalan Tavakoli: Every Software Monopoly Falls in the Next 24 Months

Jun 30, 20261 min

How To Build Your Own AI VP of Marketing: The Full 10K Playbook From SaaStr AI 2026

Jun 26, 20262 min

Amjad Masad and Me: The AI Agents We Actually Built, and What Replit's Founder Thinks Comes Next

Jun 23, 20263 min

Snowflake’s CMO Runs Marketing for 700 People. She Starts Her Day By Talking to Her Data, Not a Dashboard.

Jun 21, 20264 min

$400M ARR With Under 200 People: What Lovable’s Head of Growth Elena Verna Says Actually Works in B2B Now

Jun 5, 20263 min

The Agents Episode #006: We Run SaaStrAI on 3 Humans and 21+ AI Agents. Here’s Every Agent, Agent by Agent, With the Numbers.

Jun 2, 20264 min

How Owner.com’s CRO Is Closing $2M+ in ARR Per Rep With AI: 5 Things You Can Steal

May 27, 20264 min

The Agents Episode #005 is Out! Our 2 AI VPs Cost $257/Month, a Website Willed Itself Into Becoming an Agent, and QBee Sent 83 Personalized Emails at 12:20am

May 23, 20261 min

How Anthropic Rebuilt Its Sales Org From Scratch When Demand Went Vertical: 54% of New Enterprise Logos Now Come Self-Serve

May 20, 202630 min

Tragedy Apps, Database Deletions, AI PR Pitches I Block on Sight, and Why We’re Hiring a Marketer to Report to an AI Agent: The Agents #004 is Out!

May 7, 20264 min

Our Own AI Agent Deleted Amelia, HubSpot Gave Us a Zero, and 100 Days Since I Opened Canva: The Agents Episode #002

Apr 24, 20264 min

Introducing “The Agents”: A New Weekly Show Where We Share Everything Happening With Our 20+ AI Agents in Production. The Good, The Bad, and The Broken.

Apr 15, 20261 min

The Top 10 Things to Know Before You Deploy Your First AI SDR With Jason Lemkin and Chief AI Officer Amelia Lerutte

We’ve now been running AI SDR agents for 10+ months at SaaStr:* We use four different vendors in daily rotation (Artisan, Salesforce AgentForce, Qualified, and Monaco)* We’ve sent hundreds of thousands of outbound messages* Processed 1.5 million inbound sessions on a single website, and …* We’ve made every mistake you can make along the way.Someone asked us the other day to break down what they should know before rolling out their very first AI SDR. So here are the 10 biggest lessons, drawn from real deployment data, real failures, and real results.1. You Probably Only Need One Vendor. At Least To Start.We run four AI SDR tools. You do not need to do that. We hyper-segment across platforms because each one does something slightly different well, but for 90%+ of use cases, one vendor will handle the bulk of what you need.At most, you might end up with two: one for outbound, one for inbound. But do not start by buying three or four tools. Pick one that covers the majority of what you want to accomplish and go deep with it.The tool matters far less than the strategy you bring to it.2. Your Human Playbook Has to Work First. Your Job Is To Clone Your Best Human.This is the single biggest mistake we see, and it cuts across company stage. We see it from raw startups at $1M ARR and from multi-billion-dollar public companies alike.The pattern is always the same: they want to turn on an AI SDR without first proving that their human sales motion works. Or they use the AI SDR to “test new copy” they’ve never tried before.That is backwards.If you have not gotten outbound to work with humans, buying an AI to do it will not fix that. We did not deploy our first AI SDR until we knew exactly what was working with our human SDRs: which messaging converted, which segments responded, what cadences performed. Then we fed all of that into the agent.The goal of an AI SDR is to clone the best person on your team. * If it is just you, clone you. * If you have four people and one is crushing it at outbound, clone that person. * These tools, in the beginning, are cloning machines. They take context word for word and use it to build out their brain. If you feed them garbage context, or untested context, they will produce garbage results.You basically have to have done founder-led sales before you hand it off to an agent. The playbook has to work, at least a little, before you automate it.And watch out: some vendors will steer you toward using their tool for “pure cold testing.” Sure, you can do that. But you will likely be disappointed compared to scaling something that already converts. Do not fall into that trap.3. Segment RuthlesslyThis one we cannot overstate. Segment ruthlessly. Literally every day.Every AI SDR tool we have tried, and that is over a dozen, has some version of functionality where you can tell the agent who to reach out to and give it specific context for that segment. The difference between one generic campaign brain and hyper-segmented campaigns with tailored context is enormous.Here is a concrete example. We initially treated our inbound agent as one big bucket: “they’re inbound to the website.” But that was wrong. We actually have brand-new visitors, people who came via a social ad, prior sponsors returning, current customers checking on something, and lapsed customers browsing the pricing page. Each of those segments needs completely different context.A lapsed customer who churned in 2022 and is now browsing your pricing page? Your agent should know they are a former customer, highlight what has changed with the product since then, and speak to them totally differently than a brand-new cold visitor.We run roughly 100 effective segments across about 1,000 contacts at a time. That sounds like a lot of work. It is. But it is exactly where the leverage comes from.One important caveat: none of the AI SDR tools today can auto-segment well enough to deliver these results on their own. You still need a human (or a tool like Claude) to define and manage the segments. The platforms default to “run one campaign, keep adding leads.” That is the wrong approach.4. Consistency Beats BrillianceYour AI SDR does not need to write the greatest email on Earth. It needs to write a pretty good email, every time, without fail.We have sent 40,000+ messages through Artisan alone, 100,000+ through Qualified, close to 200,000 through Salesforce. Are these the greatest emails since sliced bread? No. They are solid. They are consistent. They follow the proven messaging and subject lines we already know work.That consistency, combined with hyper-segmentation and proven copy, will outperform a human SDR who ignores training, skips follow-ups, or goes off-script.The agent remembers every instruction you give it. Every time. A human SDR forgets by Thursday.We see a lot of “AI SDR paralysis” from founders who test a tool, see the output, and say “it’s not that great.” Okay, but did you segment properly? Did you give it copy that already conver

Mar 13, 20261h 5m
Jason M. Lemkin 🦄