Podcast
Traction Lab Podcast
Hosted by JDM and Cameron Law · EN
The Traction Lab Podcast is a light-hearted, science-based weekly to help first-time founders go from fuzzy idea to real traction with honest insights, tactical experiments, tons of snark, and zero startup BS.
zerototraction.substack.com
zerototraction.substack.com
27episodes
Episodes
Newest firstAll episodes
Founders hear what they want to hear
Apr 400:58:49Tap to summarizeHey friends 👋You’ve heard the feedback. You nodded along. You maybe even wrote some of it down. But are you actually listening — or are you running it through a filter that was already biased toward your conclusion?This week, we got nerdy about the cognitive machinery that causes smart founders to ignore the data right in front of them: confirmation bias, motivated reasoning, and cognitive dissonance. Three overlapping traps that compound each other in ways that’ll genuinely make your skin crawl once you see it.The uncomfortable part is that your brain runs them before you consciously evaluate anything. You’re not choosing to ignore the warning signs — you just don’t see them. And the smarter you are, the more sophisticated your rationalizations get. Yay…We put these ideas to the test across three scenarios — a real estate CRM with 11% monthly churn blaming “price-sensitive agents,” a project management tool ignoring a 67% feature request because it might “bloat” the product, and a B2B sales platform insisting it has an “education problem” when the market is already full of incumbents. We rated each on our conviction scale and called out the survivorship bias and say-do gaps hiding in the data.In frivolous thoughts:* JDM recommends a definitely-not-political SNL sketch.* Cam watched Forrest Gump for the first time as an adult. It hits different.As always, thanks for listening.—Cameron and JDMTimestamps00:00 - Introduction02:45 - Confirmation bias, motivated reasoning, and cognitive dissonance16:15 - Scenario 1: Real estate CRM, 11% churn, blaming the customer30:15 - Scenario 2: Agency PM tool ignoring 67% feature requests41:30 - Scenario 3: B2B sales platform with an “education problem”51:00 - Frivolous Thoughts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit zerototraction.substack.com
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AMA: When your customers won’t pay, the problem isn’t the price
Apr 200:46:22Tap to summarizeHey friends 👋Welcome to our weekly AMA! Every Friday, we go live on YouTube and LinkedIn to answer real questions from founders at every stage. We’re now adding that to this podcast feed every Wednesday so you can catch it wherever you listen.This week, we dug into four questions that each hit a different flavor of the same core problem: are you solving the right job for the right person?When your market feels price-sensitive, the move isn’t to race to the bottom—it’s to find the 24 people who did pay and figure out what makes them different from everyone else. That cluster is your wedge. We break down how to build that hypothesis without running to a spreadsheet first, and why “there are no facts inside the building, but there are sure as hell hypotheses” is your operating principle.From a documentary producer wrestling with per-project pricing to a med-tech founder staring down the gap between a validated idea and an actual clinical product, the through-line is always the same: price is a signal, not the problem.We also probably spend an irresponsible amount of time talking about cold brew coffee, Muppets, and which Muppet should run JDM’s coffee AI agent. And Cameron is in Las Vegas, about to run a marathon downhill from 7,500 feet. What was he thinking?!If this episode stirs up a question for you, submit it in advance at the link below (we answer every one), or join us live.See you on Saturday for our regular episode.As always, thanks for listening.—Cameron and JDMLinks & Resources* 📅 Submit a question for next week’s AMA* 📺 Join us live every Friday at noon Pacific on YouTube or LinkedIn* Substack newsletter (tools + frameworks)* Traction Lab Venture SchoolTimestamps00:00 Introduction05:15 Q1: Are your pilots actually signal?13:30 Q2: Pricing a project-based customer22:00 Q3: Taking MedTech from idea to institution31:00 Q4: Mobile mechanic — pivot or persevere?40:00 Frivolity This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit zerototraction.substack.com
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Your MVP isn't testing anything
Mar 2800:44:49Tap to summarizeHey friends 👋Minimum Viable Product. Three words every founder knows, and almost nobody uses correctly. The “V” isn’t about whether the product exists—it’s about whether you can capture value back. Whether the market will actually pay. Whether you’re testing the riskiest assumption sitting between you and a working business model. Build without that framing, and you’re just... building. Optimizing something that may never have a buyer.This week, Cameron’s recording from a hotel room in Vegas (yes, really—there’s a marathon involved), and we dig into what an MVP actually is, why the “minimum lovable product” crowd is missing the point entirely, and what it looks like when founders get the test right—then fumble the follow-through anyway.We rate three scenarios on our conviction scale: an AI meal-planning app drowning in vanity metrics, a manual marketplace test with a very uncomfortable disintermediation signal, and a fraud-detection tool that had us fully on board until the last sentence. One of them earns an 8. One earns a 2. You’ll know which is which by the end.Cameron closes with his Mt. Charleston marathon prep (7,000 feet of downhill—his knees, but not his problem), and jdm gives a very late recommendation for Hijack on Apple TV. Better late than never.As always, thanks for listening.—Cameron and JDMTimestamps00:00 Introduction02:00 What an MVP actually is (and why MLP is a cope)10:30 Scenario 1: AI meal planning app18:15 Scenario 2: Manual gym-trainer matchmaking marketplace26:00 Scenario 3: E-commerce fraud detection SaaS34:30 Frivolous Thoughts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit zerototraction.substack.com
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What investors say vs What they mean
Mar 2100:42:47Tap to summarizeHey friends 👋You’ve been there. The pitch goes well, the partner’s engaged, and then she says something like “we’d love to see stronger net retention before moving forward.” So you spend the next two months building a cohort analysis dashboard. You come back. She says something different. You’re still not funded—and now you’re behind.Investor feedback isn’t always what it looks like. Sometimes “fix your pitch deck” means your business model doesn’t work. Sometimes “we want to see more traction” means you’re three stages too early for that fund. And sometimes the kindest thing an investor can do is tell you a softer version of the truth—which means you walk away solving the wrong problem entirely.This week we unpack the Traction Lab Investor Feedback Pyramid—a four-layer framework for translating what investors say into what they actually mean. Then we put it to work on three scenarios: a B2B SaaS platform burning time on dashboards no investor asked for, a marketplace with unit economics that don’t pencil out, and a vertical AI tool getting asked “what stops Zillow from building this?”—and giving exactly the wrong answer.We also caught up after a week at South by Southwest, which included chasing a Waymo through a parking lot in Austin and catching Alanis Morissette before a 5:45 AM flight home.As always, thanks for listening.—Cameron and JDMTimestamps00:00 - Introduction02:15 - The Investor Feedback Pyramid05:30 - Scenario 1: B2B SaaS and the retention rabbit hole21:15 - Scenario 2: Marketplace with murky unit economics29:30 - Scenario 3: Vertical AI and the defensibility dodge37:00 - Frivolous Thoughts: South by Southwest, Waymo chaos, and a canceled flight This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit zerototraction.substack.com
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Your revenue is real. Your sales motion isn't.
Mar 1400:42:01Tap to summarizeHey friends 👋You know the pattern: solid revenue, happy customers, no churn. Everything looks like it’s working. So you go to raise money to hire sales reps and scale — and investors pass. They say “we want to see more traction,” and you nod like you understand, then go burn more of your network to get more of the same sales that got you here. The cycle repeats.The problem isn’t your product. It’s that having revenue and having a repeatable sales motion are two completely different things. We dig into how to tell them apart — and introduce a stupid-simple tool called the acquisition source audit that can show you exactly where your deals are actually coming from.Three scenarios this week, each with a different relationship to this problem. A data platform swimming in warm intros with no cold evidence to show investors, a FinTech compliance tool with multiple channels but some sketchy cold outreach math, and a bootstrapped workflow automation play that somehow figured it out without ever touching their network. We run each one through the source audit and rate conviction on our scale of zero to 10.And in Frivolous Thoughts: SXSW, an obscure New Zealander entomologist, and why you can blame the Weimar Republic for your toddler’s ruined sleep schedule.As always, thanks for listening.—Cameron and JDMTimestamps00:00 - Introduction + big news (two episodes a week now 👀)04:30 - Revenue vs. repeatable sales motion08:00 - The acquisition source audit11:30 - Scenario 1: Data analytics platform, $41K MRR, 83% warm intros19:00 - Scenario 2: FinTech compliance tool, $87K MRR, mixed channels27:30 - Scenario 3: Insurance workflow automation, $52K MRR, 100% cold outbound35:00 - Frivolous Thoughts: SXSW + the surprisingly weird history of daylight saving time This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit zerototraction.substack.com
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“Nobody’s doing this” is not a competitive advantage
Mar 800:36:31Tap to summarizeYou’ve heard it. Maybe you’ve said it. “Nobody’s doing this.” It feels like confidence. It sounds like vision. To every investor and advisor in the room, it’s a 🚩 so bright it practically glows.This week, JDM and Cameron break down why “we have no competitors” is almost always wrong — and what founders are usually trying to say when they use it. There are shadow competitors (hint: spreadsheets count), empty rooms that signal nobody cares, and then there’s the differentiation case that founders actually mean but fumble on delivery. Learn the difference, and you’ll stop losing credibility before the pitch even lands.Then we run three startup scenarios — an AI tool for independent insurance agents, a DEI-focused catering marketplace, and a pre-purchase return prevention platform for DTC brands — through our conviction scale and make our case in real time. Two of them have a numbers problem, one of them earns a jdm rant fueled by personal experience, and Cameron and jdm swap roles as the episode’s nice guy and crusher of dreams.We close with a quick detour into bike shedding (the term, the origin, and why your startup team is absolutely doing it right now) and jdm’s experiment living with a smartwatch on one wrist and a Whoop on the other.As always, thanks for listening.—Cameron and JDMTimestamps00:00 - Introduction02:00 - “Nobody’s doing this”: the three scenarios it signals07:00 - Scenario 1: AI policy comparison tool for independent insurance agents13:30 - Scenario 2: DEI catering marketplace19:30 - Scenario 3: Pre-purchase return prevention for DTC brands32:00 - Conviction scale ratings38:00 - Frivolous Thoughts: bike shedding + the smartwatch experiment This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit zerototraction.substack.com
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🎧 When fundraising, is bigger better?
Feb 2800:52:53Tap to summarize🚨 NEW: Cameron and I are super happy to be launching the Traction Lab Venture School, a new program to help founders of early-stage startups find paying customers. Kicks off March 23rd. Only 20 spots. You in?Hey friends 👋It’s almost a cliché. Some VC tells you to “go bigger” on your fundraise, another investor says to keep it small, and you’re stuck in the middle.So in this episode, we tackle one of the most confusing decisions founders face: how much money should you actually raise? We break down the false dichotomy of “go big or go home” and why ego has no place in fundraising decisions.We dive into three realistic scenarios where founders are wrestling with round size—from a bootstrapped SaaS founder being pushed toward a $2M round when they only need $500K, to a profitable fintech debating whether to raise at all, to an AI startup running out of runway with thin traction.The key insight? It’s all about capital efficiency and what you’re actually buying with that money. In early stages, you’re buying learning, not growth—and 10x the money doesn’t mean 10x the learning.Our hot take: raising too much too early can actually screw you over when it comes time for your next round. We also get into why you need to understand investor business models—their “right size” round might not match your stage at all.In our Frivolous Thoughts segment: JDM battles his display link monitor (send help), and Cameron updates us on the Kings’ ambitious 16-game losing streak. Yes, he said ambitious. 😅—Cameron and JDM This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit zerototraction.substack.com
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