Traction Lab Podcast

Are you pivoting or just stacking assumptions?

Hey friends 👋 Here’s what a pivot is not: changing your messaging, tweaking your pricing, or trying a new ad channel. It’s also not torching the company and starting over. A pivot is what happens when data invalidates a core assumption — and there are really only three categories worth changing: your audience, your product, or how you distribute and capture value. That’s the framework this week. We map the three pivot categories, explain how the 10 named pivot types actually fit inside them, and then do what we do — put the theory through three real startup scenarios that are very much not doing it right. From an AI writing tool that quietly discovered its best customers were using it for something completely different, to a yoga marketplace simultaneously pivoting its customer, its product, and its monetization model (we both gave it a one), to a SaaS dashboard whose founders accidentally built the right feature inside the wrong product — each one gets rated on our conviction scale. In Frivolous Thoughts: Cameron barely survives a security line in Salt Lake City, and jdm goes deep on the agentic AI wild west — including a tool that lets you hire a zero-human CEO for your startup. Please don’t do that for your actual startup. As always, thanks for listening. —Cameron and JDM Timestamps 00:00 Introduction 02:15 What is a pivot? (and the three categories) 07:45 Scenario 1: AI writing tool — customer need vs. segment pivot 15:15 Scenario 2: Yoga marketplace — the danger of stacking pivots 25:00 Scenario 3: SaaS review dashboard — the zoom in pivot 34:00 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 [https://zerototraction.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

Clean your pipeline: polite nos vs real yeses

Hey friends 👋 You’ve got 22 prospects in the pipeline. Eight firms said they’ll start after tax season. Five want a follow-up next quarter. Three need a case study first. And you’re feeling really good about it. You shouldn’t. “Sounds great” isn’t a yes — it’s a soft no with a future date attached. The say-do gap is real, and most founders are snorting hopium instead of closing it. This week, Cameron and JDM dig into the TEAM Framework: Time, Effort, Access, Money. It’s one of Traction Lab’s most-used tools, built specifically to separate genuine intent from enthusiasm that evaporates the moment you ask for a commitment. From an accounting startup coasting on good demo vibes (combined score: one) to an insurance SaaS asking all the right questions but still afraid to ask for money, we run three startup scenarios through the conviction gauntlet and rate each one. The third founder learned from failure and corrected course — which earns real respect, even with some method questions still on the table. In frivolous thoughts: Cameron’s deep in Justified season six, and JDM’s recommending Honey Dijon’s The Nightlife for the next time your AI agents are doing your work for you. As always, thanks for listening. —Cameron and JDM PS: A mea culpa. This episode was supposed to drop on Saturday, but we had technical difficulties. We blame our AI agents for not doing our jobs better. Timestamps 00:00 Introduction 02:00 The TEAM Framework (Time, Effort, Access, Money) 06:30 Scenario 1: Workflow automation for accounting firms 12:45 Scenario 2: Insurance agent SaaS — asking right, but dodging money 19:30 Scenario 3: D2C analytics dashboard — learning from failure 29:30 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 [https://zerototraction.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

How we evaluate traction

Hey friends 👋 Six paying customers. $4,800 MRR. The founder already knows which two to discount. Same evidence. Cameron gives it an 8. JDM gives it a 6. That’s the conversation the Strength of Evidence Matrix is built for. This week, we dig into the Strength of Evidence Matrix — one of the core Traction Lab tools. It evaluates your traction on two axes: how robust is the signal (from interest to intent), and how independent is the source (from affiliated to cold). Most founders count their evidence. This framework grades it — and most of the time, the grade is a lot worse than it looks. From a pet emergency app drowning in warm surveys, to a background check SaaS with real revenue but one cold customer keeping the whole signal honest, to a B2B platform that made it from their rolodex all the way to a cold annual contract — we run three scenarios through the matrix and rate each on the conviction scale. There’s even a JDM-Cameron split on the last one. JDM’s three-year Lord of the Rings marathon is almost over. Cameron just watched the GuLP team take fifth place and $10K in Minneapolis. As always, thanks for listening. —Cameron and JDM Resources: * High Conviction Happy Hour, August 27th [https://luma.com/0jte03oe] * Traction Lab Venture School [https://tlvs.link] Timestamps 00:00 - Introduction 02:15 - Strength of Evidence Matrix 05:30 - Scenario 1: Pet emergency vet app 12:45 - Scenario 2: Background check SaaS 25:00 - Scenario 3: B2B CPG broker platform 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 [https://zerototraction.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

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 [https://tlvs.link] 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 [https://zerototraction.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

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 [https://zerototraction.substack.com?utm_medium=podcast&utm_campaign=CTA_1]