
The SaaS Podcast - Real Lessons on Growing Profitable SaaS
Building software is easier than ever. Growing it into a profitable business is the hard part. Every week, a founder gets specific about what actually moved the needle: finding product-market fit, landing customers, pric...
AI overview.Omer Khan is an independent podcast creator known for his extensive experience in coaching SaaS founders and his deep understanding of the business landscape. H…
Insights from recent episode analysis
On the show
- Ev Kontsevoy1 ep
- Karel Papik1 ep
- Girish Redekar1 ep
Also: Sylvestre Dupont, Hewitt Tomlin, Sarah Ahmad, Zhong Xu, Joel Griffith, Vineet Jain, Adam Markowitz, Marius Meiners, Tibo Louis-Lucas, Eric Ries, Mark Abbott, Yega Kumarappan, Ron Hash, Farzad Rashidi, Danny Jenkins, Felix Hoffmann, Rick Knudtson
Audience Interest
- SaaS business strategies
- product-market fit insights
Podcast Focus
- interviews with SaaS founders
- scaling to $1M+ ARR
Publishing Consistency
- weekly episodes released
- active for 11 years
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Based on 3 signals.
Built from
By chart position
- 🇧🇷Brazil · Entrepreneurship#92.1K to 11K
- 🇺🇸United States · EntrepreneurshipHOME#164303 to 1.6K
- 🇬🇧United Kingdom · Entrepreneurship#57188 to 993
- 🇮🇳India · Entrepreneurship#51165 to 874
- 🇦🇺Australia · Entrepreneurship#6671 to 377
- Per-Episode Audience
Est. listeners per new episode within ~30 days
3.2K to 17K🎙 ~2x weekly·493 episodes·Last published 6d ago - Monthly Reach
Unique listeners across all episodes (30 days)
6.3K to 34K🇧🇷68%🇺🇸10%🇬🇧6%+10 more - Active Followers
Loyal subscribers who consistently listen
3.5K to 18K15 real followers tracked across platforms
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 11/5/26 | Selling an AI SaaS Platform After 200 Buyers Called It Crazy | He asked buyers to rip out their whole Salesforce stack. The first 200 to 300 called him crazy. David Zhu, co-founder and CEO of Reevo, built an all-in-one AI sales platform and learned the hard way how to sell it. He kept the platform and changed the ask: buyers start with one piece, like the dialer, the sequencer or the AI-native CRM. David explains why Reevo spent two years in stealth before selling, how a founder he met at an AWS program became the first paying customer before seeing the product, and how Reevo got to $1M ARR in 6 months while an introvert ran founder-led sales. He also shares the Mom Test mistake he made early on. Plus: why the startups that happily adopted his whole platform turned out to be false validation. David ran engineering teams at DoorDash and worked with Keith Rabois at OpenStore before founding Reevo, his fifth startup, with a founding team of 14. Reevo now serves hundreds of customers without paid marketing. 🔑 Key Lessons Be strict on architecture, flexible on the sale: Reevo kept its all-in-one platform but stopped demanding rip-and-replace. Letting a buyer start with one tool asks for a much smaller first yes than throwing out Salesforce. Give buyers three doors, not the whole menu: Reevo groups its land motions into pipeline generation, deal progression and manager reporting. Prospects pick their biggest pain instead of facing every module and integration at once. Watch out for false validation: Startups with no RevOps leader or security review adopted Reevo's whole platform easily. That said little about the entrenched mid-market buyers Reevo actually wanted to win. Play to your strength, not someone else's game: David had no sales brand, so he built on what he did have, a dense engineering team. Copying founders who have distribution you lack is how you lose. Open the deal, then hand off the close: David, an introvert, sent the first email and ran the intro call. A founding sales leader from HubSpot closed, and Reevo copied his talk tracks across 12 to 15 AEs. Ask for payment to test your discovery: Early prospects praised David's pitch, then said no when he asked them to pay. The Mom Test's non-leading questions get you to the honest answer sooner. Don't outsource ICP discovery: Paying a vendor $50,000 to run your outbound skips the learning. David says founders without product-market fit have to do discovery themselves or risk a false start. Chapters What Reevo does and who it's for Founding team of 14 and the size of the business From DoorDash and OpenStore to the idea for Reevo Why Reevo built in stealth for two years The first paying customer from an AWS program The Mom Test mistake and winning without a sales brand Founder-led sales as an introvert Platform vs point solution 200 buyers called the rip-and-replace pitch crazy Selling the platform one piece at a time Why startup customers were false validation Three land motions instead of an a la carte menu Vibe coding, outsourced SDRs and enterprise bake-offs Lightning round Resources Full show notes: https://saasclub.io/499 Join 5,000+ SaaS founders: https://saasclub.io/email | 56m 29s | ||||||
| 10/29/26 | ChatGPT Should Have Killed His AI SaaS. Instead, He's Nearing $10M | ChatGPT turned his product into a commodity at close to $1M ARR. Alon Talmor rebuilt Ask-AI into Mosaic AI, an AI platform for technical support, by narrowing into a market rivals called too hard and selling measurable cost reduction instead of features. The company is now at multiple seven figures in ARR, approaching eight. Alon breaks down how six months of listening to enterprises produced the product idea, how he closed a $6.5M seed after his co-founder quit in the middle of the round, and how 5-day pilots built on technical support automation turn skeptical enterprise buyers into six-figure customers. Plus: why he believes the next phase of enterprise AI is agents orchestrating people, not people orchestrating agents. Alon sold his first startup, BlueTail, to Salesforce, went back for a PhD in AI and question answering, and founded Ask-AI in 2021, a full year before ChatGPT. Today Mosaic AI serves about 100 enterprise customers, with go-to-market in Toronto and R&D in Tel Aviv. 🔑 Key Lessons Find a blue pond, not a blue ocean: When funded giants crowd your market, narrow into a segment they cannot serve well. Mosaic left enterprise assistants to own technical support and grew past seven figures. Talk to customers six months before investors: Alon pitched no VCs until enterprises had told him their problem. Yotpo's knowledge chaos became the product, and the seed closed on that proof. Tell investors bad news before they find it: His co-founder quit mid-raise; he disclosed it immediately and still closed $6.5M. Prettifying reality reads as mistrust, and investors sense it every time. Sell the cost reduction, not the feature list: Support is a cost center with a known price tag. Mosaic pitches 50-70% savings on a seven-figure budget instead of arguing about features. Pick the metric your buyer cannot argue with: Tickets per engineer per day survived scrutiny where time-to-resolution failed. One customer measured an 80% lift in a week of the pilot. Treat build vs buy as your real competitor: With AI coding cheap, enterprises default to building. Win by showing the end state their side project becomes obsolete against, not a feature comparison. Chapters What Mosaic AI does and who it's for The real cost of technical support BlueTail, Salesforce and the PhD detour Founding Ask-AI a year before ChatGPT Losing a co-founder in the middle of the seed round Radical honesty with investors Six months of listening before pitching VCs Yotpo and the design partner playbook Founder-led sales to the first 25 customers ChatGPT turns the product into a commodity Agents orchestrating people Finding the blue pond: technical support Build vs buy: the number one competitor The 5-day pilot and the metric that closes deals Lightning round Resources Full show notes: https://saasclub.io/498 Join 5,000+ SaaS founders: https://saasclub.io/email | 53m 08s | ||||||
| 10/1/26 | Founder-Led Sales: He Learned to Sell SaaS and Closed 50 Customers | He walked into his first pricing call asking for $100,000 and walked out with $10,000 a year. Shahar Azulay had never sold anything before co-founding groundcover, and the product he was selling had no user interface yet, just a sensor and some dashboards. He took it anyway, and still argues that was the right call. Shahar explains why founders should close their first dozen customers at almost any price, how he published a per-host list price and then discounted it up to 70 percent, and how his first 50 to 100 customers came from his own network plus 10 to 15 LinkedIn messages a day. Plus: the moment customers started ripping Datadog out on their own, before groundcover had built anything to help them do it. Shahar Azulay is the co-founder and CEO of groundcover, an eBPF observability platform that lets engineering teams monitor production without changing their code. He has grown it to eight-figure ARR with more than 250 customers, competing head-on with Datadog and New Relic. 🔑 Key Lessons Close your first dozen deals at any price: Early contract value teaches you nothing. The reps, the reference logos, and learning to survive security and legal reviews are what make the next twenty deals closeable. Publish your price when you sell to mid-market: A public number per host anchors the conversation and skips a negotiation a first-time founder will lose. groundcover listed $30 per host, then discounted up to 70 percent. Don't expect to grow your earliest accounts: Shahar never planned to 10x those first contracts. Chasing them traps you in old relationships when the rest of the market is still unsold and will pay more. Your first sales calls are really feedback calls: Prospects treat a founder as someone to advise, not buy from. Shahar framed early meetings as "we'd love to show you what we're building" and converted from there. Selling the deal is not replacing the incumbent: groundcover closed customers who still kept Datadog running. The post-sale migration motion only got built after those early displacement attempts visibly failed. A remote first hire with no local team will fail: The first SDR in North America was hired alone, remote, under marketing, with no one around him. Shahar calls it a failure of gravity, not of the person. Bet on the technology your team can already build: eBPF worked for groundcover because the founders came from cybersecurity and knew how to ship a safe kernel agent. Incumbents selling SDKs still struggle to copy it. Chapters Introduction What groundcover does and who buys it Why observability pricing stopped making sense Bring your own cloud and charging per host From Apple and cybersecurity to founding groundcover Discovering eBPF and betting the company on it Why no other observability vendor was using eBPF The first customer, three months in Asking $100K and closing at $10K Why founders should close at any price Publishing list pricing and discounting 70% Being the entire sales function Prospecting on LinkedIn, 10 to 15 a day Getting out of the friend zone on sales calls Hiring the first AEs, SDRs and sales engineers When customers decided it could replace Datadog Failing to rip out the incumbent Learning when you have no leverage Lightning round Resources Full show notes: https://saasclub.io/497 Join 5,000+ SaaS founders: https://saasclub.io/email | 52m 19s | ||||||
| 9/24/26 | Bootstrapping a SaaS From a $500K Goal to a $50M Company | He closed most of the deals himself. It took him ten years to stop. Ross Andrew Paquette bootstrapped Maropost to around $50 million in ARR, and for most of that run he was the discovery call, the demo and the follow-up. It worked well enough to take the business from $300,000 to $27 million in 28 months with six or seven people. Then the thing that built the company became the thing capping it. Ross breaks down how he won accounts paying $10,000 a month on a five-minute response time rather than features, how two people signed brands like Rolling Stone and Mercedes off a conference floor, and why seven or eight experienced sales leaders all failed at Maropost before he changed what he hired for. Plus: why he took investor money he did not need, and what it felt like to write a $37 million check three years later to buy it back. Ross Andrew Paquette is the founder and CEO of Maropost, a commerce and marketing platform with roughly 300 people and 5,000 customers. He started it in 2011 out of his apartment while still selling Oracle ERP software full time, planning on ten customers and a quieter life. 🔑 Key Lessons 🤝 Win on service before you can win on product: Ross offered 24-hour live chat and a five-minute reply when Maropost had ten or fifteen customers, and landed accounts paying $10,000 a month without the deepest feature set. 🎯 Sell to people who already trust you: Three or four customers from Ross's previous jobs signed almost immediately, which is why Maropost had real revenue before it had a finished product or any marketing spend. ⚡ Founder demos beat decks: Ross ran simple discovery then a personalized demo with no slides, and credits his edge to having designed the features himself rather than to any sales methodology. 🚀 Concentrate spend where your buyers already are: Buying top-tier sponsorships at a handful of conferences let two people sign brands like Rolling Stone and Mercedes off the floor, helping take Maropost from $300,000 to $27 million. 🧠 Hire for tenacity, not logos: Seven or eight sales leaders with strong resumes failed at Maropost because their experience came from different engines, price points and company sizes that did not transfer. 💰 Capital you do not need still costs you: The 2016 secondary brought expectations rather than money Maropost required, and growth fell from around 400 percent to 6 to 10 percent before Ross bought the investors out. 📉 Getting out of founder-led sales takes longer than you think: Ross spent about ten years moving from what he called "Ross and Co" to an actual organization, and says it was the hardest part of building the company. Chapters What Maropost does and who it serves The ten-customer lifestyle plan Getting the first customers from old relationships The developer who kept disappearing His mother's advice and the oDesk hire Charging $10,000 a month with a small product Why most founders cannot sell From $300K to $27M in 28 months Why seven or eight sales leaders failed Writing the $37 million check Resources Full show notes: https://saasclub.io/496 Join 5,000+ SaaS founders: https://saasclub.io/email | 42m 03s | ||||||
| 9/17/26 | Inbound Marketing That Grew a Fintech SaaS to $100M | He never bought a keyword, never ran content marketing, and the big outbound sales force he tried did not work. Rodney Robinson still grew TabaPay to $100 million in revenue, almost entirely through inbound, on a single $2.5 million seed round that stayed the company's only outside money for nine years. Rodney explains how he found a problem Mastercard could not solve, why he chased small fintechs instead of big logos, how his inbound marketing came from banks and the card networks rather than ads, and why he believes outbound sales no longer works in B2B. Plus: the six-month lawsuit that cost TabaPay its sponsor bank, and what Rodney had personally put on the line to get that bank in the first place. TabaPay is payment processing infrastructure that gives fintechs one API to move money instantly in both directions, and processes payments for companies like Dave. The company runs at $100 million in revenue with about 150 people, profitable, growing 35 to 40 percent a year. On the day this interview was recorded, Rodney announced a $155 million raise and the acquisition of a bank. 🔑 Key Lessons Build what the incumbent is forbidden to build: Mastercard would not add pull payments because it would compete with its biggest processors. That structural refusal, not a missed feature, was the opening TabaPay walked through. Make the trusted party your sales channel: Fintechs do not know a new processor, but they trust their bank and Visa. TabaPay processes for about 20 banks and lets those relationships generate its inbound pipeline. Solve revenue before expense: Rodney paid vendors above market to reach the market in a year, charged what it would bear, then displaced the vendors later. Getting to revenue outranked protecting early margin. Chase minnows, not whales: The first ten customers were small fintechs where the founders already knew each other. Those minnows grew into whales, and the relationship carried through the growth. Reliability is the product for infrastructure: Three vendors at 99 percent availability leaves you down about 3 percent of the time. Customers bet their business on payments working, so TabaPay took the stack in house. Expect arrows in year one: Six months in, another company claimed TabaPay stole its software and the sponsor bank dropped them. They won, but only because there was nothing to find. Chapters What TabaPay does $100M in revenue with 150 people The $2.5M round that lasted nine years Raising $155M and buying a bank The problem Mastercard would not solve Finding the wedge by listening How the money actually moves A year to build the first version Solving revenue before expense Pledging his house for a sponsor bank Landing the first ten customers Chasing minnows instead of whales When vendors go down Owning the stack end to end Channels that wasted time Why outbound sales is dead in B2B Building the inbound engine Pricing against commoditization Fraud data as a value-add The lawsuit that cost them their bank Making every customer feel like the biggest Why buy a bank Lightning round Resources Full show notes: https://saasclub.io/495 Join 5,000+ SaaS founders: https://saasclub.io/email | 38m 39s | ||||||
| 9/10/26 | founder-led salesdemand forecasting+3 | Felix Hoffmann | 7LearningsKearney+1 | Berlin | demand forecastingpricing optimization+6 | Hobbes | 45m 54s | ||
| 9/3/26 | internal communicationscustomer feedback+3 | Rick Knudtson | WorkshopCapgemini+2 | Omaha | SaaSemail communication+6 | Hobbes | 47m 57s | ||
| 8/27/26 | selling before buildingSaaS growth+3 | Julius Körfgen | UplaneAG1+1 | — | SaaSARR+3 | Hobbes | 46m 55s | ||
| 8/20/26 | enterprise salesstartup strategy+4 | Christian Lund | TemplafyBig Four | — | enterprise salesBig Four+4 | Hobbes | 43m 58s | ||
| 8/13/26 | AI modelsstartup pivot+3 | Eugene Cheah | Featherless AIAirbus Ventures+2 | — | AIFeatherless AI+5 | — | 44m 33s | ||
| 7/23/26 | revenue growthAI in SaaS+3 | George Georgiadis | AI agentsHappier Leads+1 | — | SaaSARR+6 | Product FruitsCODE | 46m 30s | ||
| 7/16/26 | SaaS pricingcustomer success+3 | Ron Hash | QuickFaxSkimmer+1 | — | SaaSpricing model+3 | Product FruitsCODE | 53m 31s | ||
| 7/9/26 | SaaSrevenue growth+3 | Farzad Rashidi | Respona | — | SaaS churnrevenue growth+5 | Product FruitsCODE | 55m 15s | ||
| 7/2/26 | bootstrappingcybersecurity+3 | Danny Jenkins | ThreatLockerMSPs | worldwide | bootstrapped startupcybersecurity+6 | — | 50m 46s | ||
| 5/28/26 | startup governancefounder control+3 | Eric Ries | TwilioHarvard Law School+3 | — | startup governancefounder control+3 | GearheartCODE | 43m 15s | ||
| 5/21/26 | community-led growthSaaS+4 | Mark Abbott | Traction ToolsNinety+4 | — | SaaS growthcommunity building+5 | GearheartCODE | 46m 54s | ||
| 5/14/26 | founder-led salesB2B sales+4 | Yega Kumarappan | PaperfliteQuora+5 | — | founder-led salescustom demos+8 | GearheartCODE | 40m 57s | ||
| 5/7/26 | bootstrapped SaaSentrepreneurship+3 | Tibo Louis-Lucas | TMAKERTweet Hunter+1 | — | bootstrapped SaaSTMAKER+5 | GearheartCODE | 45m 56s | ||
| 4/30/26 | AI startupMVP development+4 | Marius Meiners | Peec AIAntler+1 | — | AI startupMVP+5 | Respona | 33m 06s | ||
| 4/28/26 | open source SaaSbusiness growth+3 | Ev Kontsevoy | TeleportGravity | — | open sourceSaaS+5 | ThreatLocker | 1h 05m 58s | ||
| 4/16/26 | SaaS onboardinggaming psychology+4 | Karel Papik | Product FruitsKPMG+2 | Czech RepublicPrague | SaaSonboarding+8 | ThreatLocker | 51m 48s | ||
| 4/9/26 | product-market fitB2B SaaS+4 | Girish Redekar | RecruiterBoxSprinto | — | product-market fitB2B+5 | ThreatLockerCODE | 50m 53s | ||
| 4/2/26 | bootstrapped SaaS growthAI in business+4 | Sylvestre Dupont | ParseurChatGPT | — | bootstrapped SaaSAI-powered parsing+6 | GearheartCODE | 39m 53s | ||
| 3/26/26 | vertical SaaSflat pricing+4 | Hewitt Tomlin | TeamBuildrNFL | — | vertical SaaSflat pricing+7 | GearheartCODE | 46m 41s | ||
| 3/19/26 | SaaS product-market fitentrepreneurship+4 | Sarah Ahmad | StableDoorDash+6 | — | SaaSproduct-market fit+5 | ThreatLockerCODE | 36m 15s | ||
| 3/12/26 | SaaS distributionpartnerships+4 | Zhong Xu | DeliverectUber Eats+2 | — | SaaSdistribution channel+6 | GearheartCODE | 47m 10s | ||
| 3/5/26 | bootstrapped SaaScustomer acquisition+3 | Joel Griffith | BrowserlessGoogle Cloud | — | bootstrapped SaaScustomer acquisition+5 | ThreatLockerCODE | 46m 30s | ||
| 2/26/26 | enterprise salesB2B sales+4 | Vineet Jain | EgnyteBox+2 | US | enterprise salesEgnyte+5 | ThreatLockerCODE | 47m 46s | ||
| 2/19/26 | product-market fitSaaS growth+3 | Adam Markowitz | DrataPortfolium+1 | — | product-market fitSaaS+5 | ThreatLockerCODE | 1h 01m 51s | ||
Showing 29 of 493
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Distribution & Reach
About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.
Omer Khan is an independent podcast creator known for his extensive experience in coaching SaaS founders and his deep understanding of the business landscape. Having interviewed over 500 founders and guided more than 150 through significant revenue milestones, he brings a wealth of practical knowledge to his audience. The SaaS Podcast is unique in its focus on real-world experiences from SaaS founders, covering essential topics such as product-market fit, customer acquisition, scaling to $1M+ ARR, and navigating challenges like pricing and churn, all framed within the context of AI's impact on the industry. The weekly episodes feature firsthand insights, making it a valuable resource for entrepreneurs at various stages of their journey. Listeners primarily consist of SaaS entrepreneurs and business enthusiasts seeking actionable strategies and growth insights. The podcast offers them proven methodologies and inspiration, fostering a community of over 5,000 founders engaged in the SaaS Club, thereby enhancing their understanding of the complexities of scaling a business.
By the numbers
- Total followers: 8.8K
- Total plays: 571K
- Total reviews: 12
Platforms
TuneIn
- Followers: 3
YouTube
- Subscribers: 8.7K
- Views: 571K
- Videos: 1.3K
Podcast App
- Followers: 12
- Reviews: 12
Find them online
Audience
professionals, adults
Key insights
What the show covers
- interviews with SaaS founders
- scaling to $1M+ ARR
- navigating pricing and sales
- coaching on revenue milestones
Audience interests
- SaaS business strategies
- product-market fit insights
- customer acquisition techniques
- AI in SaaS growth
Platform reach
- available on major platforms
- targeting SaaS founders
- growing listener community
- no specific platforms listed
Publishing consistency
- weekly episodes released
- active for 11 years
- 479 total episodes
- consistent publishing schedule
Chart history for The SaaS Podcast - Real Lessons on Growing Profitable SaaS
Peaked at #9 in Brazil, top 10 in 1 of 27 tracked markets, currently #9 in Brazil.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| Brazil | — | #9 | #9 | — |
| South Africa | — | #44 | #44 | — |
| PL | — | #46 | #46 | — |
| PT | — | #49 | #49 | — |
| India | — | #51 | #51 | — |
| United Kingdom | — | #57 | #57 | — |
| Denmark | — | #57 | #57 | — |
| Australia | — | #66 | #66 | — |
| Norway | — | #71 | #71 | — |
| Mexico | — | #74 | #74 | — |
| HK | — | #76 | #76 | — |
| Netherlands | — | #77 | #77 | — |
| Brazil | — | #82 | #82 | — |
| Spain | — | #86 | #86 | — |
| AE | — | #100 | #100 | — |
| RO | — | #109 | #109 | — |
| SG | — | #112 | #112 | — |
| Canada | — | #134 | #134 | — |
| France | — | #146 | #146 | — |
| GR | — | #147 | #147 | — |
Chart Positions
27 placements across 26 markets.
Chart Positions
27 placements across 26 markets.