Startups For the Rest of Us

How does a founder actually learn the skill of product?

In this episode, Rob Walling talks with Ruben Gamez of SignWell and Bidsketch to answer listener questions that turned into a much deeper conversation than expected. They cover why friction works well for one of Ruben's products and kills conversions on the other, how to think about trial length and onboarding when users need more time, and what it actually takes to develop product instincts as a bootstrapped founder. 

Want to get your question answered? Drop it here.

Topics we cover:

(4:00) – Friction in trial funnels: Bidsketch vs. SignWell

(8:26) – When to test friction vs. trust your gut

(10:44) – Testing with low volume

(16:56) – Trial length for project management SaaS

(18:47) – How do you learn product?

(21:39) – How Ruben developed product sense on the job

(23:21) – The two core product skills bootstrappers actually need

(29:42) – Product management vs. UX

(31:46) – Why product sense doesn't transfer between products

(34:07) – How fast you can build product sense

Links from the show:

SaaS Institute Cancun Retreat – Dec 5-7, 2026, exclusively for 7 & 8 figure SaaS founders | Waitlist: tracy@tinyseed.com 

Sponsorship inquiries: sponsors@tinyseed.com  

TinySeed SaaS Institute

Shreyas Doshi Product Sense Course 

Shreyas Doshi on YouTube 

Ep 15 - Strategy Session | The Offsite Podcast 

The Panel Podcast 

SignWell

Bidsketch 

Ruben Gamez (@earthlingworks) | X

If you have questions about starting or scaling a software business that you'd like for us to cover, please submit your question for an upcoming episode. We'd love to hear from you!

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Is your SaaS actually protected from AI disruption, or are acquirers walking away without even looking?

In this episode, Rob Walling talks with Einar Vollset of Discretion Capital for a front-lines SaaS M&A market report, covering how the acquisition climate has shifted since 2021, why some PE firms now require at least one AI moat before they'll even look at a deal, and a breakdown of all five moats: hardware-software coupling, two-sided network effects, communication graph embeds, proprietary data with closed feedback loops, and operational switching costs. 

Topics we cover:

(2:05) – State of SaaS M&A from 2020 to today

(5:49) – Why 2021 was the best time to sell

(7:38) – How the 2022 downturn raised the acquisition bar

(8:59) – The SaaS apocalypse narrative and AI FUD

(12:26) – Why bootstrappers should care about exit markets

(15:52) – AI moat #1: Hardware-software coupling

(17:38) – AI moat #2: Marketplace scale and two-sided network effects 

(20:05) – AI moat #3: Communication graph and relationship embed

(21:27) – AI moat #4: Proprietary data with closed feedback loops

(23:20) – AI moat #5: Operational embed and switching costs

(27:28) – Some PE firms now require at least one moat

(29:23) – AI-native SaaS faces even higher hurdles

Links from the show:

MicroConf Connect Next Live Session: Jim Zarkadas on User-Friendly Onboarding (June 17) 

TinySeed

MicroConf YouTube

The SaaS Playbook

Discretion Capital M&A Guide

Fiscal.ai 

DealForma

BuiltWith

ZyraTalk

EverCommerce 

Einar Vollset (@einarvollset) | X

If you have questions about starting or scaling a software business that you'd like for us to cover, please submit your question for an upcoming episode. We'd love to hear from you!

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Are you using AI in your marketing because it's actually good, or just because it's fast?

In this episode, Rob Walling sits down with Taylor Hendricksen, a performance marketer who has managed tens of millions of dollars in ad spend across Meta and Google, to talk about where AI is genuinely useful and where it produces flat, mediocre output that makes you look like everyone else. They also dig into unconventional distribution channels, offer design, and why some of the best SaaS niches are the least exciting ones. 

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Topics we cover:

(5:04) – AI as boogeyman: proving value to customers

(6:59) – Human-first content vs. AI-generated content

(9:38) – Why AI produces average work by default

(13:05) – AI is the average of the internet

(16:18) – Overcoming artificial growth ceilings

(20:26) – Finding your avatar and positioning around real problems

(22:52) – Unconventional distribution: direct mail and video mailers

(25:52) – Crafting offers people feel stupid saying no to

(28:42) – Using AI for ops, research, and thought partnership

Links from the show:

TinySeed SaaS Institute

Rob Walling Email List

The SaaS Playbook

MicroConf | Community for Bootstrapped SaaS Founders

Alex Hormozi YouTube Channel

Incorruptible by Eric Ries 

Taylor Hendricksen | LinkedIn

If you have questions about starting or scaling a software business that you'd like for us to cover, please submit your question for an upcoming episode. We'd love to hear from you!

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Is AI actually making your build-measure-learn cycle faster, or just making your work more average? 

In this episode, Rob Walling talks with Eric Ries, author of The Lean Startup, to revisit what's held up in Lean Startup thinking 15 years on, why AI speeds up building but can't replace human learning, and what drove Eric to write his new book, Incorruptible. Eric also shares the story of how the Long-Term Stock Exchange nearly died before it ever launched, and why Costco is the rare example of a company that figured out how to stay incorruptible. 

Topics we cover:

(3:48) – Lean Startup: 15 years later

(8:33) – How countercultural MVPs and pivots were

(11:02) – How AI changes build-measure-learn

(13:36) – Learning is still a human job

(15:43) – AI makes everyone's work more average

(17:39) – The Long-Term Stock Exchange story

(21:03) – How LTSE was nearly destroyed

(25:00) – A better definition of profit

(31:45) – Companies already living this way

(32:33) – The legend of Sol Price and Costco

(37:36) – Incorruptible: ethos plus integrity

Links from the show:

TinySeed SaaS Institute

The SaaS Playbook

Incorruptible by Eric Ries 

The Lean Startup by Eric Ries

Long-Term Stock Exchange (LTSE) 

Eric Ries | LinkedIn

Eric Ries (@ericries) | X

If you have questions about starting or scaling a software business that you'd like for us to cover, please submit your question for an upcoming episode. We'd love to hear from you!

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What do Nobel Prize winners and successful bootstrappers have in common? 

In this solo episode, Rob Walling shares the story of how a TinySeed company went from near-zero revenue to $10,000-$20,000 a month almost overnight, breaks down Claude Shannon's research on the habits that separated Nobel laureates from forgotten scientists, and explores why deep expertise looks like magic from the outside.

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Topics we cover:

(2:46) – BlinkMetrics: from no product-market fit to $10-20K/month

(8:31) – 104 coffee chats, 24 sales calls 

(10:25) – AI changes custom dashboard economics 

(12:53) – What separates Nobel winners from the forgotten 

(14:40) – Knowledge compounds like interest 

(18:28) – Taking bigger swings vs. staying in your comfort zone

(19:36) – Going deep on one idea for years 

(21:21) – Expertise that looks like magic 

Links from the show:

MicroConf Europe ┃Reykjavik, Iceland · Sept 21–23, 2026

MicroConf Connect

BlinkMetrics

Claude Shannon Bell Labs lecture

Why most indie hackers aren't succeeding┃Baretto (tiiny.com) 

Stephen Curry got that sixth sense when it comes to the rim

The SaaS Playbook by Rob Walling

TinySeed SaaS Accelerator

Rob Walling on YouTube

Rob Walling (@robwalling)┃X

If you have questions about starting or scaling a software business that you'd like for us to cover, please submit your question for an upcoming episode. We'd love to hear from you!

Subscribe & Review: iTunes |Spotify