If you’re in B2B SaaS, you probably feel it already: the old way of “just hire more SDRs and send more emails” is broken.

Everyone has the same tooling. Everyone is running the same sequences. Everyone is “personalising at scale” with the same prompts. Yet pipeline quality is down, efficiency is under scrutiny, and suddenly… go-to-market (GTM) design has become a first-class strategic problem.

Few people are better positioned to talk about this shift than Harrison Rose.

Harrison co-founded Paddle, helped turn it into one of the UK’s fastest-growing software companies, and has now raised a $13M Series A (led by Notion Capital, with participation from Robin Capital, Inovia, Salicap, Common Magic, Andrena and more) to build GoodFit – an AI-driven GTM data platform.

Here’s what’s covered:

00:47 | What GoodFit actually does — mapping your entire market and scoring every account
01:32 | Paddle origins → the first-principles GTM problem that later became GoodFit
03:31 | From internal tool to standalone company — recognizing the “product inside Paddle”
04:18 | Who buys GoodFit — why B2B tech is the first adopter (and why the market is much bigger)
06:28 | Second-time founder advantage — credibility, networks, and selling before the product exists
08:29 | Choosing investors — why Notion, avoiding echo chambers, and constructing a syndicate
13:24 | Bootstrapping for four years — optionality, profitability curiosity, and knowing when VC is the right path
18:34 | AI’s real impact on go-to-market — why most teams are just automating bad outreach
22:25 | The GoodFit vision — deciding who to sell to, why, and how (and leaving execution to others)
35:34 | Leaving Paddle — identity, founder evolution, and learning to lead differently the second time around
46:40 | Giving back — why Harrison opens his inbox for “weird, gnarly, unsaid” founder questions

E669 | Harrison Rose, GoodFit: How AI Is Rewriting B2B Go-To-Market

EUVC