The SaaS Podcast - Real Lessons on Growing Profitable SaaS

Ron Hash bootstrapped Skimmer, software for pool service companies, to over $1 million in ARR and 1,500 customers with zero paid marketing, then sold it. His SaaS pricing was the engine: 50 cents per serviced pool with a $29 minimum, when every competitor charged per seat.
Ron shares how he validated the idea with one cold call, why his SaaS pricing aligned revenue with each customer's growth, how he cut churn from 6% to 2% by fixing onboarding, and why he never regretted the exit. His SaaS pricing chose a value metric close to the money instead of per-seat pricing, which made adding customers feel good and kept churn low.
Ron Hash built Skimmer with no prior SaaS experience and got it to 1,500 customers on SEO and word of mouth alone. That SaaS pricing model kept churn low and made the business acquirable; he sold to Unbundled Capital in 2020, after which the company raised $79 million and grew past 100 employees. He is now building QuickFax.
This episode is brought to you by:
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🔑 Key Lessons
💰 Usage-based SaaS pricing aligns revenue with customer success: Skimmer charged 50 cents per serviced pool, so a customer's bill rose only as their business grew, making them happy to pay more.
📉 Per-seat SaaS pricing punishes growth and drives churn: Ron priced on serviced pools instead of seats, so customers never hesitated to add users and the product became stickier across the whole team.
🎯 Validate with one real conversation, not a survey: Ron cold-called a single pool pro who said "the paper game is killing me," and that one honest answer was enough proof the problem was real.
🚀 SEO plus word of mouth can replace an ad budget: Ranking for "pool service software" and delighting customers got Skimmer to 1,500 users with zero paid marketing.
🔄 Churn is usually an onboarding problem: Ron cut churn from 6% to 2% with a simple onboarding flow that pulled new users to their first win, not by adding features.
🛠️ Build for the user doing the work: A fast, low-tap, offline-capable mobile app for field techs beat the web-based tools competitors built for office staff.
Chapters
00:00 50 cents a pool
00:30 Introduction
01:46 What Skimmer is and who it's for
03:46 Where the idea came from
07:05 Going all in on nights and weekends
08:16 Deciding what to build first
08:53 Welcome calls and learning from customers
11:36 The first customer and teaching himself SEO
13:32 Inbound vs the people he cold-called
15:00 The long slow ramp to 76 customers
16:39 Pricing at 50 cents a pool, not per seat
20:32 Explaining usage-based pricing to customers
22:41 Pen and paper vs software
25:19 Why Skimmer got so much traction
31:00 Cutting churn from 6% to 2%
36:25 The hard days of bootstrapping
39:17 Selling Skimmer
43:26 No regrets on the exit
44:53 QuickFax, his new project
47:56 The biggest lesson: solve small problems
49:35 Lightning round
Resources
Full show notes: https://saasclub.io/488
Join 5,000+ SaaS founders: https://saasclub.io/email

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

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

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

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