Traction Lab Podcast

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

Traction Lab Podcast is a business podcast hosted by JDM and Cameron Law, with 103 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

JDM and Cameron Law hosts Traction Lab Podcast, a business show with 103 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

• 

  Traction Lab Podcast

  Don’t avoid your customers.

  May 23, 202630 minS0

  <p>Hey friends 👋</p><p>You know the pattern.</p><p>* January: idea.</p><p>* February: market research.</p><p>* March: wireframes, logo, landing page.</p><p>* April: four customer convos. Two said routing is a pain point.</p><p>Ouch — that’s just a museum of artifacts nobody bought a ticket to.</p><p>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.</p><p>It’s a simple measurement — how long from “I have an idea” to “I tested it with a real customer”...

  ListenShow Notes
• 

  Traction Lab Podcast

  Are you pivoting or just stacking assumptions?

  May 18, 202640 minS0

  <p>Hey friends 👋</p><p>Here’s what a pivot is not: changing your messaging, tweaking your pricing, or trying a new ad channel.</p><p>It’s also not torching the company and starting over.</p><p>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.</p><p>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 th...

  ListenShow Notes
• 

  Traction Lab Podcast

  Clean your pipeline: polite nos vs real yeses

  May 12, 202634 minS0

  <p>Hey friends 👋</p><p>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.</p><p>You shouldn’t.</p><p>“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 sp...

  ListenShow Notes
• 

  Traction Lab Podcast

  How we evaluate traction

  May 2, 202639 minS0

  <p>Hey friends 👋</p><p>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.</p><p>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...

  ListenShow Notes
• 

  Traction Lab Podcast

  Weekly AMA: what investors actually need

  Apr 29, 20261h 11mS0

  <p>Hey friends 👋</p><p>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.</p><p>Because interest and evidence are two completely different things.</p><p>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.</p><...

  ListenShow Notes

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.