Traction Lab Podcast

JDM and Cameron Law

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. Have you earned the right to delegate?

    3d ago

    Have you earned the right to delegate?

    Hey friends 👋 There’s a moment every founder hits — you’re maxed out, you hate doing the thing, so you hire someone to take it off your plate. VP of Sales. Head of Product. Done. Problem solved. Except it’s not. Not even close. This week, Cameron and JDM break down the Founder Arc — the path from founder-only to founder-led to founderless — and why jumping straight from one end to the other is how startups quietly come apart. The middle phase isn’t optional. It’s where the playbook gets written, the trust gets built, and the real handoff actually happens. From a franchise SaaS founder planning to exit sales entirely before his first hire has closed a single deal, to a vet-clinic platform founder holding product hostage because “nobody understands our customers like I do” — we rate each move on our conviction scale. Two score crash-and-burn. One almost earns a pass. The third scenario? A support function that navigated the arc cleanly — but Cameron and JDM are squinting hard at the unit economics. Plus: Cameron is fresh off go-karting through the streets of Tokyo at night (no shells were thrown, unfortunately). And JDM is recording this episode on the edge of a very big life event — probably the last episode in the queue before baby #2 arrives. Wish him luck. As always, thanks for listening. —Cameron and JDM Timestamps 00:00 Introduction 02:15 The Founder Arc: founder-only, founder-led, founderless 05:30 Scenario 1: The too-fast sales handoff 12:45 Scenario 2: The product bottleneck problem 25:00 Scenario 3: A support arc done right 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

    45 min

  2. May 30

    You have to earn scale

    Hey friends 👋 Every founder wants the J-curve — up and to the right, forever. But that chart has a boring flat part at the beginning that most founders try to skip. That’s the part where you figure out what actually works, prove it can happen again, and then pour gas on it. Skip it and you’re not scaling a growth engine. You’re just spending money faster. This week we dig into one of our core frameworks: predictable, repeatable, scalable. In that order. Always in that order. The key question: can you tell the difference between what worked and what just happened to work that one time? Because your entire engine rests on that answer. Three founders are convinced they’re ready to scale. One’s averaging two new customers a month (a number that might be doing some heavy lifting to hide the real variance). One has a genuinely tight LinkedIn playbook — but now wants to hand it to an SDR and go explore a new segment. And one had three TikTok videos go viral and wants to triple the content team to make the magic happen again. We rate all three on our conviction scale, and nothing gets above a six. Cameron recommends a detective show. JDM withdraws a previous recommendation entirely. As always, thanks for listening. —Cameron and JDM Timestamps 00:00 Introduction 02:15 Predictable, Repeatable, Scalable 05:30 Scenario 1: SaaS returns processing platform 12:45 Scenario 2: Warehouse safety compliance 25:00 Scenario 3: Consumer fintech / TikTok 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

    45 min

  3. May 23

    Don’t avoid your customers.

    Hey friends 👋 You know the pattern. * January: idea. * February: market research. * March: wireframes, logo, landing page. * April: four customer convos. Two said routing is a pain point. Ouch — that’s just a museum of artifacts nobody bought a ticket to. This week, we break down Time to Customer: the single most important velocity metric for early-stage founders, and the one most likely to make you squirm. It’s a simple measurement — how long from “I have an idea” to “I tested it with a real customer”? Turns out, that gap is where most founders hide. Cameron and JDM dig into why we delay, what “progressivity” looks like in the wild, and what it actually means to have a bias toward getting in front of customers. We run three scenarios through the TTC lens — from a dog grooming app that spent three months in pre-production before a single customer call, to a churn prediction startup that got a prospect to ask “what would it cost to get this every month?”, to a compliance platform that built an entire outbound playbook before sending their first cold email. tbh… conviction scores were grim, but we left every founder with a clear path forward. We hope. And in frivolous Thoughts: * Cameron caught the Buffalo Traffic Jam live at a 200-person DC venue (Bands in Town is the app you didn’t know you needed), and * JDM makes a strong case for Sofia Isella as the reigning queen of dark pop. As always, thanks for listening. —Cameron and JDM Timestamps 00:00 Introduction 02:15 Time to Customer 05:30 Scenario 1: Mobile dog groomer routing app 12:45 Scenario 2: SaaS churn prediction platform 25:00 Scenario 3: Home healthcare compliance training 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

    30 min

  4. May 18

    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

    40 min

  5. May 12

    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

    34 min

  6. May 2

    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 * Traction Lab Venture School 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

    39 min

  7. Apr 29

    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

  8. Apr 25

    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
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5
out of 5
4 Ratings

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
    92
  • Rating
    Explicit
  • Copyright
    © JDM & Cameron Law
  • Show Website
    Traction Lab Podcast