Traction Lab Podcast

JDM and Cameron Law
  • 5.0 (4)
  • BUSINESS
  • UPDATED BIWEEKLY

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

  1. 1H AGO

    Weekly AMA: what investors actually need

    Hey friends 👋 You’ve had the good conversations. Coffee chats that ended with “this is really interesting.” Followers who DM you to say they can’t wait. And when you go to investors, they pass. Because interest and evidence are two completely different things. This week, JDM and Cameron are joined by Nikki Sims — operator, VC fund veteran, and someone who’s actually seen what happens when founders confuse the two. In a special format, we invited founders from the Traction Lab Venture School to join us on the livestream to ask their questions. We covered traction signals that matter in historically offline industries, what happens to your roadmap when you land a 227-location enterprise deal, why your TAM slide is probably lying to investors without you realizing it, what to do when your market has a literal expiration date, and how to think about funding a hard goods business when VC math doesn’t apply. Nikki didn’t hold back. Neither did the guys. It’s the kind of honest investor feedback you usually only get if you already know someone. As always, thanks for listening. —Cameron and JDM Timestamps 00:00 - Introduction & Nikki Sims 05:00 - Traction in offline markets (AgTech / game birds) 18:00 - When your market has an expiration date 24:30 - The enterprise trap: SMB to 227 locations 32:00 - Funding a hardware business (not a SaaS) 51:00 - TAM slides: bottoms-up or bust 58:30 - Biotech buy vs. build decisions 1:02:30 - Channel strategy for construction tech 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

    1h 11m

  2. 4D AGO

    This TAM is just a snort of hopium

    Hey friends 👋 You know the pattern — founder shows up with a deck, flips to the TAM slide, and there it is: $53 billion… $67 billion… any enormous number with a B at the end. And everyone in the room nods like it means something. It usually doesn’t. This week JDM goes solo (Cameron’s out representing the ecosystem and cheering at a pitch competition — we’ll forgive him) to dig into one of his all-time founder pet peeves: the TAM. Not the concept — the lazy, hopium-laced, percentage-game version that shows up in almost every pitch deck. The one that mistakes the market your customers are in for the market your product is in. The one that picks 0.1% because it makes the math look reasonable, not because it means anything. From a Slack bot claiming a slice of the wrong pie, to a procurement platform that actually did the math (mostly), to an AI tutoring app that averaged its way to a $67B fantasy, JDM runs the conviction scale on three real TAM claims and calls out every shortcut along the way. For his lone frivolous thought, he recommends Ben McKenzie’s documentary Everyone Is Lying to You for Money — a deep dive into crypto with strong opinions and receipts to match. As always, thanks for listening. —JDM & Cam Timestamps 00:00 - Introduction 02:15 - TAM: what the slide is supposed to answer (and doesn’t) 05:30 - Scenario 1: The Slack status bot 12:45 - Scenario 2: Food manufacturer procurement platform 25:00 - Scenario 3: AI tutoring app for K-12 40:00 - 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

    31 min

  3. APR 18

    Do your investor updates secretly suck?

    Hey friends 👋 You’ve seen the email before: Subject: “Huge month!!” Body: 10,000 users, engagement through the roof, three new features shipped, featured in a newsletter. No revenue. No retention breakdown. No ask. And somehow, you think that’s an investor update. This week, JDM and Cameron break down what investor updates are actually for — and why the founders sending the flashiest ones are often the ones with the least to show. A good update isn’t a highlight reel. It’s a signal: * Here’s the one metric that matters right now; * Here’s what’s working and what isn’t; and * Here’s exactly what we need from you. That’s it. Do that consistently, and you’re building trust long before anyone writes a check. Then comes the game! Three realistic scenarios, scored on the conviction scale: * A SaaS tool drowning in vanity metrics and no ask (a very generous two). * A dental practice management startup with actual numbers, actual churn honesty, and a specific ask that almost got there (a strong eight). * A consumer mental health app with 150K downloads, no paying customers, and a premium tier with results too “encouraging” to share yet (another two). And it’s a conviction sandwich! But a Keto edition… the good stuff is in the middle. Frivolous thoughts this week: JDM got a YouTube Music recommendation he didn’t ask for and absolutely needed; and Cameron walked out of a Sacramento record shop with some Cat Stevens vinyl. Turns out the thread between grunge, riot-grrl, punk, and folk peace anthems is stronger than you’d think. As always, thanks for listening. —Cameron and JDM Timestamps 00:00 Introduction 02:15 What is an investor update (and why most are facades) 05:30 What to actually include: the five elements 13:30 Scenario 1 23:15 Scenario 2 33:15 Scenario 3 37:30 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

    42 min

  4. APR 15

    When your best customer is also your biggest threat

    Hey friends 👋 You’ve got 43 customers using your product for free, a pilot converting at 4 out of 11, and a franchisor who just announced they’re building your product themselves—for free. This week’s office hours was a live collision of founders at very different stages, all running into the same underlying problem: they’re optimizing for the wrong thing at the wrong time. JDM and Cameron tackle five questions live from YouTube and LinkedIn: * a funeral home consolidator mid-pricing negotiation * a B2C wellness app chasing a launch before knowing who they’re selling to * a CrossFit gym SaaS getting sherlocked by its own franchisor * a baby sleep consultant product that discovered its pilot structure too late * a surf school booking tool trying to solve seasonality before it’s solved willingness to pay. We break down enterprise pricing psychology, the trap of logo-hunting, why “stoned beach dudes” is not a customer segment problem, and how a transaction-based revenue model might untangle a seasonal billing headache. We recorded in person again, the rain is visible through the window, Cameron’s deep into Justified, and JDM is watching Harrison Ford gracefully exit Shrinking. And, as always, thanks for listening. —Cameron and JDM Timestamps 00:00 Intro 02:15 Live Q: When to hold firm vs. concede on pricing 10:30 Q2: Building momentum before MVP launch 20:00 Q3: Getting sherlocked by the franchisor 25:00 Q4: 4 out of 11 pilot conversions and what the split actually means 30:30 Q5: Union workers who don’t buy their own software 36:00 Q6: Seasonality, and when to charge 43:30 Frivolous Thoughts: the future of TV (which is now) 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

    49 min

  5. APR 11

    You built it. Now what?

    Hey friends 👋 You have the domain expertise. You have the product. You might have even used AI to vibe-code the whole thing in a weekend. But here’s where most technical founders hit a wall — not because the product is wrong, but because getting your first paying customer is a completely different skill set than building the thing. And it’s harder than it looks. This week, we dig into Tech Timmy — Traction Lab’s name for the technical or domain-expert founder who builds first and asks “now what?” later. We talk through what makes this archetype fascinating, the cruel irony of their situation, and why the very channels they gravitate toward (SEO, Reddit, Product Hunt launches) are almost guaranteed to fail them at this stage. Then we run three Tech Timmy scenarios through our conviction scale — a browser extension for Slack productivity, a niche inventory tool for specialty coffee roasters, and an AI cover letter generator with some genuinely alarming freemium math. One gets an enthusiastic eight. One gets a swift and unapologetic one. Cameron earns the crown. We also coined the Conviction Chasm — the space between “we’re somewhat in” and “we’re fully in” — which is immediately more threatening than it probably needs to be. Frivolous thoughts this week: Artemis II sent humans further from Earth than anyone has ever been, which is objectively incredible. And Cameron watched Better Off Ted. As always, thanks for listening. —Cameron and JDM Timestamps 00:00 - Introduction 02:15 - The Tech Timmy: who they are and why it matters 09:15 - The cruel irony of the technical founder 12:45 - Scenario 1: Slack summarizer browser extension 28:00 - Scenario 2: Inventory tool for coffee roasters 40:00 - Scenario 3: AI cover letter generator 50:00 - 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

    57 min

  6. APR 4

    Founders hear what they want to hear

    Hey 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 JDM Timestamps 00:00 - Introduction 02:45 - Confirmation bias, motivated reasoning, and cognitive dissonance 16:15 - Scenario 1: Real estate CRM, 11% churn, blaming the customer 30:15 - Scenario 2: Agency PM tool ignoring 67% feature requests 41:30 - 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

    59 min

  7. APR 2

    AMA: When your customers won’t pay, the problem isn’t the price

    Hey 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 JDM Links & 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 School Timestamps 00:00 Introduction 05:15 Q1: Are your pilots actually signal? 13:30 Q2: Pricing a project-based customer 22:00 Q3: Taking MedTech from idea to institution 31:00 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

    46 min

  8. MAR 28

    Your MVP isn't testing anything

    Hey 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 JDM Timestamps 00:00 Introduction 02:00 What an MVP actually is (and why MLP is a cope) 10:30 Scenario 1: AI meal planning app 18:15 Scenario 2: Manual gym-trainer matchmaking marketplace 26:00 Scenario 3: E-commerce fraud detection SaaS 34:30 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

    45 min
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About

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

Information

  • Creator
    JDM and Cameron Law
  • Years Active
    2023 - 2026
  • Episodes
    86
  • Rating
    Explicit
  • Copyright
    © JDM & Cameron Law
  • Show Website
    Traction Lab Podcast