The SaaS Podcast: How B2B SaaS & AI Founders Get Customers

By Omer KhanBusiness Entrepreneurship Technology

The SaaS Podcast: How B2B SaaS & AI Founders Get Customers episodes

July 09He demoted his SaaS to sell a service and 4x'd revenue in 12 months
Six years of grinding, and SaaS churn kept capping his growth: win a customer, lose a customer, repeat. Then one pricing call flipped everything. Farzad Rashidi pivoted Respona to a done-for-you service-as-software model and 4x'd in twelve months the revenue it took six years to build.

Farzad shares why adding features never fixed his SaaS churn, the agency CEO haggle that sparked the pivot, how he demoted his own SaaS on the homepage to lead with the service, and how he rebuilt a software layer on top so the business could scale.

Respona helps brands get cited in AI answers across ChatGPT, Perplexity, and Google AI Overviews. Farzad first appeared in episode 323 as a self-serve outreach tool doing a few hundred thousand in ARR, before SaaS churn stalled it; today the first done-for-you customer alone spends around $65K to $70K a month.

This episode is brought to you by:

🍎 Product Fruits → Book a demo tailored to your product

🔑 Key Lessons

🔄 Service-as-software beats pure SaaS when usage drives SaaS churn: Respona's customers canceled because they had no time to use the tool, not because it lacked features, so doing the work for them removed the real reason for churn.

💰 Price on outcomes, not subscriptions: When Farzad shifted from an $800 monthly license to paying per result, the same customer who haggled over $300 immediately committed to $7K to $8K a month, then scaled to $65K.

📉 A plateau is a signal to change the model, not add features: For years Respona feature-slapped the product to fight SaaS churn and stayed stuck; growth only came after they changed the business model, not the feature set.

🛠️ Build the software layer back on top of a service-as-software model: After delivering manually off a Google Sheet, Respona rebuilt a client portal, publisher network, and a back-end brain so the service could scale like software.

🎯 Productize the service so it moves on an assembly line: Respona set five fixed tiers, volume-based discounts, and paid add-ons, avoiding the custom-call trap that makes traditional agencies impossible to scale.

🚀 Off-page SEO is making a comeback for AI visibility: To get cited in AI answers, Respona finds lookalike publishers, publishes fresher skyscraper content, and builds a surround-sound presence so the models repeatedly encounter the brand.

Chapters

00:00 The call that changed everything

00:30 Introduction

01:18 What Respona does today

02:48 Respona's origins and the first interview

04:13 Early traction, then the SaaS churn plateau

06:20 Stuck feature-slapping the product

08:07 The pivotal customer call in early 2025

10:52 Why going into services felt like the cardinal sin

11:50 How AI changed the services math

14:20 Delivering the first service off a Google Sheet

14:54 Testing demand and finding product-market fit

19:18 Rebuilding a software layer on top

22:13 Service-as-software and the YC and Sequoia thesis

27:59 Productizing the service with fixed tiers

31:27 How AI answers get generated (the Notion example)

37:14 Finding lookalike publishers and fresher content

43:12 Surround sound and the Opus Clip case study

45:06 Is SEO dead and the truth about Reddit

50:54 Lightning round

Resources

Full show notes: https://saasclub.io/487

Join 5,000+ SaaS founders: https://saasclub.io/email
56 min
July 02How Danny Jenkins Bootstrapped ThreatLocker From $150K Debt to $200M
Danny Jenkins was $150,000 in credit card debt with zero paying customers 18 months into building his bootstrapped startup. An accelerator told him to quit. He ignored the advice and built ThreatLocker into a cybersecurity company approaching $200M in revenue.

In this episode, Danny Jenkins shares how he grew a bootstrapped startup from $150K in debt to nearly $200M in revenue. You'll hear how he turned a tiny market into a $10 billion category, why he was shaking when he asked for his first sale, and how a bootstrapped startup can win against an entire industry.

ThreatLocker now protects 70,000 companies worldwide. Danny explains the zero trust approach behind the bootstrapped startup, how MSPs became his distribution wedge into small business, and the founder mindset that carried his self-funded company through near-bankruptcy. It is a candid look at bootstrapping a profitable company without losing your nerve.

🔑 Key Lessons

Create a new category instead of fighting for a small market

For a bootstrapped startup, sales is asking for the order, not a magic pitch

Money changes your problems, it does not solve them

Use MSPs as a distribution wedge into small business

A real product and buyers knowing it exists are the only things that matter early

Chapters

00:00 Introduction

01:04 What ThreatLocker does

01:56 Danny's background in cybersecurity

05:15 The ransomware recovery that sparked the idea

08:00 WannaCry and creating a category

10:02 The 18-month grind to the first customer

13:12 Shaking to ask for the first sale

16:03 Surviving debt, a hurricane, and near-bankruptcy

21:15 The founder mindset that kept the bootstrapped startup alive

23:00 The only two things that matter early

24:56 Hiring the right salesperson

30:02 Trade shows, COVID, and scaling

35:30 MSPs as a distribution wedge

38:27 The Kaseya attack and overnight growth

41:12 Why zero trust is controversial

45:39 Lightning round

Resources

Full show notes: saasclub.io/486

Join 5,000+ SaaS founders and get the best SaaS content every week: saasclub.io/email

ThreatLocker: threatlocker.com

Danny Jenkins on LinkedIn: linkedin.com/in/dannyjenkins
51 min
May 28Eric Ries on How Founders Quietly Lose Their Company
He wrote the startup playbook. Then he watched founders who used it lose control of what they built. Eric Ries, author of The Lean Startup, felt like he was feeding companies into a meat grinder. Founders will hear his startup governance framework, why most lose founder control after product-market fit, and the two-page filing that protects them.
Eric breaks down what happens when one customer becomes half your revenue, how to tell real product-market fit from slow drift, and why the term-sheet paperwork your lawyer hands you is quietly working against you. He shares the Twilio case where Jeff Lawson was removed by activists 199 days after his seven-year dual-class sunset expired, and a Harvard Law School study showing only 20% of venture-backed founder CEOs are still CEO three years after IPO.
Plus: why Vectura's board sold an inhaler company to Philip Morris for an extra 10 pence per share, and what that says about every startup governance choice founders face today.
Eric Ries authored The Lean Startup and the new book Incorruptible on startup governance.
This episode is brought to you by:
💖 Gearheart → Book a free consult and get the first 20 hours free
🔑 Key Lessons
🧠 Startup governance erodes through drift, not attack: Founders lose companies through quiet roadmap drift, board concessions and term-sheet defaults, not one dramatic event.
🎯 Real product-market fit feels like a tornado: If you have time to call an advisor and ask whether you have product-market fit, you do not. Real PMF means drowning in demand.
📉 One big customer can hijack your roadmap: A SaaS founder Eric advised landed a whale, and the product drifted within six months around what that customer "might" want.
🏢 The two-page filing that protects founder control: A Delaware C-corp can convert to a Public Benefit Corporation in five minutes, writing the mission into the charter before investors push back.
💰 "Any lawful purpose" is not neutral: Delaware courts read it as a fiduciary duty to maximise shareholder value, which is how Vectura sold to Philip Morris for 10 extra pence per share.
🤝 Decide who you would rather die than betray: Customers, employees or shareholders. Whoever you put first becomes the test for every startup governance decision.
🚀 Build the startup governance fortress before you need it: Protective provisions and charter purpose are easiest to install when you have five people and no investors on the cap table.
Chapters
What would Eric Ries change about The Lean Startup today
Why AI makes building cheaper but learning the real bottleneck
The meat-grinder problem that led to Incorruptible
Jeff Lawson, Twilio and the 199-day post-IPO ouster
The LTSE bathroom floor and the capitulate-or-die ultimatum
Financial gravity, explained
One customer hits 50% of revenue: what happens next
Product-market fit vs slow drift
Why startup governance matters at five people
The Public Benefit Corporation conversion in two pages
The Philip Morris thought experiment
The real Vectura sale and the 10-pence betrayal
OpenAI, structural integrity and the limits of paper governance
The 5-minute filing a founder can do this week
Lightning round and where to find Eric
Resources
Full show notes: https://saasclub.io/485
Join 5,000+ SaaS founders: https://saasclub.io/email
44 min
May 21Community-Led SaaS Growth: How Ninety Hit $44M ARR
He talked openly about his startup idea. A competitor took it and beat him to market. Mark Abbott shared his SaaS vision inside a tight-knit coaching community. A member passed it to a client who launched first. Founders will hear how Mark recovered with community-led SaaS growth and built Ninety to $44M ARR and 18,500 customers.
Mark explains why he spent 4 years on B2B community building before writing code, how community-led SaaS growth plus $500 a month on Facebook ads got his first 1,000 customers, and why bootstrapping past a $100M valuation set up the dilution math he wanted before a $20M Series A.
Plus: how Mark protected the community-led SaaS growth playbook after the Series A and why hiring seasoned executives created what he calls "the mess."
Ninety raised $55M from Insight Partners, Blue Cloud Ventures, and Catalyst Ventures, and serves 18,500 companies covering close to 1 million employees.
This episode is brought to you by:
💖 Gearheart → Book a free consult and get the first 20 hours free
🔑 Key Lessons
🤝 Community-led SaaS growth beats speed: 4 years as EOS implementer #33 before writing code. The community trust Mark banked became his distribution channel, investor base, and product council.
📉 Sharing your idea openly carries real risk: Mark talked about his SaaS vision inside the EOS community. An implementer passed it to a client who built Traction Tools and beat Ninety to market.
🎯 Bootstrap until the dilution math works for you: Mark hit a $100M+ valuation before raising. His $20M Series A from Insight Partners diluted him about 17%, leaving him majority owner after Series B.
💰 A tiny ad budget can scale further than you think: $500 a month on Facebook ads layered on top of the coaching channel got Ninety to 1,000+ customers.
🏢 Executives arrive with their own playbooks - hire for your stage: Mark hired fast after the Series A. Senior leaders brought conflicting paces - he calls it "the mess."
🚀 Community-led SaaS growth compounds: Bootstrapped SaaS founders who run on channel-led growth build moats that compound. Ninety now layers AI on top of 10 years of EOS coach relationships.
🧠 Long-term product vision beats agile dogma: Mark spent 6 months on data schema before shipping. The five EOS tools shipped first, AI was on the roadmap from 2012, and conviction is paying off.
Chapters
The competitor who beat him to market
What Ninety does and who it serves
The 2005 idea and the EOS connection
Pitching Gino Wickman: "It's not in our DNA"
4 years inside the EOS community before code
A competitor steals the vision: Traction Tools
Did getting copied change what he shares?
Building the first product under license restrictions
Designing for the long game: data schema first
The size of Ninety today: $44M, 18,500 companies
Pricing at $12 per seat and where AI changes it
Selling through the coaching channel
$500/month on Facebook plus community-led SaaS growth
Bootstrapping toward a $100M valuation
What changed after the $20M Series A
The hidden cost of hiring fast
AI strategy, embedded vs native, and the moat
Lightning round and closing
Resources
Full show notes: https://saasclub.io/484
Join 5,000+ SaaS founders: https://saasclub.io/email
47 min
May 14Founder-Led Sales: From 2% to 20% with 10-Hour Custom Demos
Two years on Quora and Reddit. Zero customers. Yega Kumarappan and his two co-founders had no sales experience. They bet that founder-led sales could beat the B2B sales playbook. Founders will hear how Paperflite grew from a 400K seed to 500 B2B customers and seven figures in ARR while selling SaaS without sales experience.

Yega shares the founder-led sales process that took conversion from 2-3% to 17-20%, why he spent 8 to 10 hours setting up a custom demo for every startup sales prospect, and how the team built qualified inbound from Quora and Reddit in their first two years. He also breaks down why Paperflite never raised after the seed and how he competes against the Seismic-Highspot merger.

Plus: the Fortune 500 deal that almost died in their Intercom inbox because the team thought it was a prank, and the founder-led sales tactics that produced 26 enterprise customers in year one.

This episode is brought to you by:

💖 Gearheart → Book a free consult and get the first 20 hours free

🔑 Key Lessons

🎯 Founder-led sales starts on forums, not LinkedIn: Yega's team spent two years answering Quora and Reddit questions to build qualified inbound, then converted forum readers via LinkedIn DMs and Intercom.

💰 10-hour custom demos beat generic product tours: Pre-building each prospect's actual Paperflite hub (their content, regions, buyer segments) pushed conversion from 2-3% to 17-20%, validated through A/B testing.

🤝 High-touch onboarding is leverage in founder-led sales: Paperflite manually pulled content from SharePoint and shared drives for the first 50 to 70 customers to lock in retention and learn each industry.

🚀 Profitability buys product freedom: A single 400K seed plus year-two profitability let Paperflite rebuild coaching as AI-native and content creation as Canva-like without VC-led roadmap pressure.

🏢 Position between giants and AI point solutions: Seismic-Highspot consolidation creates one big target above and AI-only entrants leave gaps below - mid-tier with deep industry context wins the middle.

📉 Verbal commitments don't predict conversion: Marketing leaders told Paperflite "we love this, we'll buy it" in validation calls and then didn't - rely on the conversations to learn, not the commitments.

🛠️ Run A/B tests on your B2B sales process, not just your product: Paperflite split prospects into self-serve vs we set it up for you cohorts and used the conversion gap (2-3% vs 17-20%) to commit to high-touch demos permanently.

Chapters

What Paperflite does and the size of the business

Origin story at Cognizant and the content distribution problem

Leaving stable jobs to start Paperflite

Raising the 400K seed in 2018

Validating the prototype with CMOs who didn't buy

The Netflix experience for sales content

Finding the first customer through Intercom

The S&P Global Fortune 500 deal that looked like a prank

Two years on Quora and Reddit to build inbound

Founder-led sales without self-serve onboarding

The 8 to 10 hour custom demo playbook

A/B testing demos: 2-3% vs 17-20% conversion

Why Paperflite never raised again after seed

Competing with the Seismic-Highspot merger

Positioning the mid-tier sweet spot

Lightning round

Resources

Full show notes: https://saasclub.io/483
Join 5,000+ SaaS founders: https://saasclub.io/email
41 min
May 07Bootstrapped SaaS: $12M ARR Across 5 Products With a Team of 10
Two failed startups. 250K euros in debt. Stuck in Paris with a sick baby and no plan. Tibo Louis-Lucas walked away from a stable CTO job and shipped 11 products in 4 months on unemployment benefits. Today TMAKER is a bootstrapped SaaS startup portfolio doing $1M a month across 5 products with a team of 10.
Tibo breaks down the exact signal that told him Tweet Hunter was the one after 10 failures, the JK Molina equity deal that took it from $3K to $20K MRR in 3 weeks, why he regrets selling Tweet Hunter and Taplio for $8 million, and the co-maker model that powers his bootstrapped SaaS startup today.
Plus: why Tibo says SEO is the most durable distribution channel for a bootstrapped SaaS startup, even as LLMs reshape search.
TMAKER is a bootstrapped SaaS startup studio of 5 products. Outrank crossed $200K MRR. Revid does over $600K a month. The portfolio crossed $1M a month a few weeks before this conversation.
This episode is brought to you by:
💖 Gearheart → Book a free consult and get the first 20 hours free
🔍 Respona → Get featured in AI answers on ChatGPT and Google AI Overviews
🔑 Key Lessons
🚀 Distribution is the reusable bootstrapped SaaS startup asset: Tibo built one SEO playbook, one ads pipeline, and one influencer network and reuses them across all 5 TMAKER products. Each new product launches with traffic from day one.
🎯 Validate with revenue, not downloads: Tibo shipped 11 products in 4 months and only kept the one that pulled paying customers. Recurring revenue past month two is the only signal he trusts.
🤝 Equity beats commission for distribution partners: JK Molina got 25% of profits and exit proceeds tied to active work. That tripled Tweet Hunter revenue from $3K to $20K MRR in three weeks.
💰 An earnout can sell you the company twice: Tibo took $2M upfront and earned $8M total against $8M ARR. He calls it selling an $8M business for $8M, and the post-exit void hit harder than the payday felt good.
🛠️ Switch from maker to distribution as you scale: Tibo flipped from builder to distribution operator and partners with co-makers. One distribution operator can power a 5-product bootstrapped SaaS startup that 5 solo founders could not.
🧠 Real PMF is when demand outruns you: Tweet Hunter PMF showed up as overwhelming DMs, feature requests, and signups he could not keep up with. Comfortable growth is not the signal - chaos is.
⚡ AI makes building cheap, so distribution is the moat: Outrank, Revid, and TMAKER survive copycats by owning audience, SEO real estate, and partner networks that compound long after the code ships.
Chapters
What TMAKER does today
Crossing $1M monthly across a bootstrapped SaaS startup portfolio
Two failed VC startups and 250K euros in debt
Sick baby, COVID, stuck in Paris
Shipping 11 products in 4 months
Why Tweet Hunter felt different
The JK Molina 25 percent equity deal
Launching Taplio for LinkedIn
Selling to Lempire for $8M and why he regrets it
The co-maker model explained
SEO as the most durable distribution channel
Lightning round
Resources
Full show notes: https://saasclub.io/482
Join 5,000+ SaaS founders: https://saasclub.io/email
46 min
April 30AI Startup Hits $8.6M ARR With V0 MVP and €85 Pricing
Hadn't coded in four years. No team. No idea. Marius Meiners launched his AI startup, Peec AI, with a V0 prototype built in 1.5 days and 8 letters of intent. 14 months later: $8.6M ARR, 55 employees, and a competitor with 5x his funding chasing enterprise.
Marius shows how to validate an AI startup before coding, win the mid-market while competitors chase enterprise, and price your AI startup at €85 a month against incumbents charging €500+. He breaks down the V0 build, the LOI playbook, and how 20% of conversions now come from AI search itself.
Peec AI is an AI startup that launched in February 2025 from Antler's Berlin cohort. Marius previously transitioned from professional esports through software engineering and venture capital at PwC.
This episode is brought to you by:
🔍 Respona → Get featured in AI answers on ChatGPT and Google AI Overviews
🔑 Key Lessons
🚀 Use AI to compress validation timelines: Marius built the Peec AI MVP with V0 in 1.5 days and signed 8 letters of intent before writing production code. Modern AI tools turn idea-to-validation from months to days.
💰 Mid-market pricing wins when competitors fight enterprise: Peec priced at €85 a month while competitors charged €500+. AI search optimization at the mid-market price point captured 2,000 customers competitors ignored.
🎯 Letters of intent beat verbal validation: Asking "would you sign an LOI?" filters out polite enthusiasm. Marius signed 8 LOIs from a V0 prototype - real signal that the AI startup problem was acute enough to pay for.
⚡ Speed is the moat for AI-era SaaS: Idea in October 2024, launch in February 2025, $8.6M ARR by April 2026. In emerging categories, the founder who ships weekly outpaces the founder who polishes.
🧠 Scrappiness has a shelf life: Eating €2 canned food works at zero revenue. At $8.6M ARR with 55 employees, scrappiness becomes a bottleneck. Most founders break their company by clinging to it past its expiration date.
🚀 Build with AI search optimization in mind from day one: 20% of Peec's new conversions now come from AI search itself. Founders who do not structure content for AI assistants are leaving meaningful pipeline on the table.
Chapters
What Peec AI does
From esports to PwC to startups
ChatGPT search and the aha moment for an AI startup
Validating ideas in days, not months
Knowing AI search optimization was the bet
How AI search optimization actually works
Free GEO tactics for founders without budget
Building the V0 prototype in 1.5 days
Getting the first 8 letters of intent
The pitch that won early adopters
Advice for founders chasing early traction
Pricing at €85 vs competitors at €500+
Scaling from LOIs to $8.6M ARR
Lightning round
Where to find Peec AI
Resources
Full show notes: https://saasclub.io/481
Join 5,000+ SaaS founders: https://saasclub.io/email
34 min
April 28The 8-Figure Open Source SaaS Playbook
He built a free tool as a lead magnet. Then customers started calling his cell phone, begging to pay for it. Ev Kontsevoy turned an open source SaaS side project into Teleport, now an 8-figure ARR business with 500+ customers. Founders will hear how a free GitHub project became an open source SaaS business worth eight figures - and why selling to the wrong buyer persona nearly capped growth.

Ev reveals how he spotted the signal that his side project was more valuable than his flagship product, why shifting from engineers to VP buyers nearly tripled average deal size, and how open source monetization built trust closed-source competitors could never match.

Teleport started as one component of Gravity, which was doing $4M ARR. COVID killed Gravity's pipeline while accelerating Teleport demand. The company now serves 500+ customers in 8-figure ARR, with AI agent identity emerging as a major growth driver.

This episode is brought to you by:

🌎 ThreatLocker → Book a demo

🔍 Respona → Get featured in AI answers on ChatGPT and Google AI Overviews

🔑 Key Lessons

🛠️ Your open source SaaS lead magnet might be your real product: Teleport was built as free demand generation for Gravity, but customers wanted to pay for it instead - listen when the market tells you where the value is.

🎯 Ask customers to sell your product back to you: Ev discovered most customers used a tiny fraction of Teleport by asking them to describe it, revealing a buyer persona mismatch that was capping growth.

🤝 Match your sales motion to your buyer's expectations: Shifting from engineers to VPs of platform engineering nearly tripled average deal size because the new buyer expected a sales-led conversation.

🔄 Focus is not a pivot - it is subtraction: Ev stopped four of five things Gravitational was doing and concentrated entirely on Teleport, which was already generating equal revenue with fewer engineers.

💰 Price with confidence even when improvising: The first Teleport enterprise deal closed at $25,000/year because Ev said "thousand" instead of "hundred" on a cold call - then built the enterprise product around real customer requests.

🚀 Open source SaaS builds trust faster for security products: Public code audits and community reviews gave Teleport credibility closed-source competitors could not match - a natural open source lead generation advantage.

🧠 Find startup ideas in the support queue: Ev found both Mailgun and Gravitational by listening to customer problems at his day job. This open source business model started from real pain, not brainstorming.

Chapters

What Teleport does and the infrastructure identity problem

Founding Mailgun and the Rackspace acquisition

How Teleport started as a free open source SaaS component

COVID kills Gravity pipeline and accelerates Teleport demand

The first enterprise deal - improvised on a cold call

Why open source SaaS builds trust for security products

Discovering they were selling to the wrong buyer persona

Shifting from engineers to VPs - 3x average deal size

AI as COVID 2.0 - identity for AI agents

Lightning round

Resources

Full show notes: https://saasclub.io/480
Join 5,000+ SaaS founders: https://saasclub.io/email
1 hr 6 min
April 16The Risky AI SaaS Rebuild That Broke a $2M ARR Ceiling
Most SaaS onboarding is terrible - rigid, pushy, and forgettable. Karel Papik spent 15 years designing video games before he looked at B2B software and thought: this is hopeless. He co-founded Product Fruits, a digital adoption platform that now serves over 1,300 paying customers. Founders will hear how gaming psychology transformed their SaaS onboarding and helped them break through the $2M ARR ceiling.
Karel shares how Product Fruits grew from 6 customers to $50K MRR in 12 months using PPC as the sole acquisition channel, why their product-led growth strategy stopped working at $2M ARR, and how rebuilding the entire platform around AI turned their SaaS onboarding tool into something competitors can't match. Plus the "diamond axe" technique from gaming that drove 24-25% free trial conversion.
Product Fruits is based in Prague, Czech Republic, with 25 team members and over 1,300 paying customers including KPMG, universities, and stock exchanges. The company has raised venture funding from Lighthouse Ventures and Reflex Capital, with the US as its biggest market.
This episode is brought to you by:
🌎 ThreatLocker → Book a demo
🔍 Respona → Get featured in AI answers on ChatGPT and Google AI Overviews
🔑 Key Lessons
🎮 Gaming psychology transforms SaaS onboarding: Karel applied the "diamond axe" technique from video games - give users the premium experience free, let them feel the value, then ask them to pay. Product Fruits used this to achieve 24-25% free trial conversion.

🎯 Test your biggest market from day one: Product Fruits targeted the US market immediately from Czech Republic instead of starting locally. Karel wanted to know as fast as possible if they could compete globally - and if not, fail fast rather than waste years on small markets.

💰 PPC works when you have the right operator: Most founders say PPC doesn't work, but Product Fruits scaled it to $1.5M/year with 8-9 month payback. The difference was hiring a PPC expert and optimizing landing pages rather than treating ads as a side project.

📉 PLG breaks down as onboarding products get complex: Product Fruits hit a growth wall at $2M ARR when the platform outgrew self-serve. Customers could not discover capabilities on their own, forcing a shift to sales-assisted growth with bigger tickets.

🐯 Rebuild before the decline forces your hand: Karel told investors he was pausing the current product to rebuild around AI - before revenue declined. Investors backed the move within 20 minutes, seeing it as a sign of a winning team rather than a distress signal.

🤖 Ship AI that solves real problems, not investor checkboxes: Product Fruits' AI copilot resolves 80% of support tickets without humans. Karel's test for any AI feature: can we sell it today? If it does not deliver measurable value, it does not ship.

🧠 Stop talking to customers when you need to dream: Karel's contrarian take - over-relying on customer feedback produces small improvements but blocks breakthrough innovation. Customers do not know what is possible in your domain. Sometimes you need to disconnect and imagine the future.
Chapters
Introduction

What Product Fruits does and who it serves

1,300 customers across industries - not just SaaS

Riding the tiger - the company philosophy

Karel's video game background and meeting co-founder Ladislav

Gaming psychology applied to SaaS onboarding

The diamond axe technique - let users feel value before paying

Growing from 6 to 1,300 customers with PPC

Why PPC worked when most founders say it doesn't

Pricing strategy and the "too cheap" problem

PLG hitting a wall at $2M ARR

The AI pivot - rebuilding the platform from scratch

How investors responded to the rebuild decision

AI features that actually deliver value

80% of support tickets resolved by AI

What AI feature they decided NOT to build

Lightning round
Resources
Full show notes: https://saasclub.io/479
Join 5,000+ SaaS founders: https://saasclub.io/email
52 min
April 09Finding Product-Market Fit After 3 Years of Failed Ideas
Three years. Zero traction. Then product-market fit hit - twice. Girish Redekar taught himself to code at 28 and spent years on failed ideas before B2B product-market fit clicked with RecruiterBox. Customers endured a broken PayPal payment hack just to keep using the product. He bootstrapped to 2,500+ customers, sold it, then found product-market fit again with Sprinto by paying for 10 audits before writing code.

Girish shares how he validated demand using The Mom Test, why 17 of 20 GTM channels failed, and the 3 that drove Sprinto to 8-figure ARR with 3,000+ customers.

Sprinto is an autonomous compliance platform with $32M raised and 350 people. AI is changing the business from three directions - product, customer operations, and external threats.

This episode is brought to you by:

🌎 ThreatLocker → Book a demo

💖 Gearheart → Book a free consult and get the first 20 hours free

🔑 Key Lessons

🎯 B2B product-market fit shows up in customer behavior, not metrics: RecruiterBox knew it had something real when customers kept paying through a broken PayPal system with daily-depleting credits. The pain they tolerated was the signal.

💰 Sell a profitable business when you become the bottleneck: Girish sold RecruiterBox at single-digit millions ARR because growth had plateaued and the founders were not the right people to scale it further.

🔄 Eliminate product risk before writing code: Sprinto's biggest question was whether a consulting service could become software. Ten paid audits answered that before a line of code was written.

🚀 Harvest existing demand instead of creating it: Sprinto's first customers came from founder Slack groups, VC portfolio programs, and Google - places where people already looked for answers.

📉 Expect 85% of your GTM channels to fail: Girish tried 20 channels and 17 did not work. Partner co-selling and conferences only started working after Sprinto had brand recognition.

🧠 Founder-product fit matters as much as product-market fit: Girish passed on a WordPress competitor because the GTM required developer evangelism - not a strength. Pick the right problem for your skills.

🛠️ AI is hitting compliance from three directions: Product capabilities, customers running AI internally needing governance, and attackers using AI for sophisticated threats - creating compounding demand.

Chapters

What Sprinto does and key business metrics

Failed ideas before RecruiterBox

What kept them going through 2-3 years of no traction

The PayPal payment hack that proved product-market fit

Why they sold a profitable, growing business

Finding product-market fit the second time with The Mom Test

Paying for 10 audits to validate the product

Product risk vs market risk framework

20 GTM channels tried, 3 worked

How AI impacts the business from three directions

Resources

Full show notes: https://saasclub.io/478
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51 min

About The SaaS Podcast: How B2B SaaS & AI Founders Get Customers

From the publisher's feed

Building software got easier. Getting customers didn't. Every week, a founder building B2B SaaS or an AI product tells you how they got their first customers, and how they kept them: what worked, what didn't, and what they'd do differently.