Loading...
Loading...

Helen was a software engineer who noticed a massive problem: accounting software for startups was broken, manual, and weeks out of date. Instead of just building a shiny new dashboard on top of legacy platforms, she decided to completely replace the offshore accounting model with AI.
In this episode, Helen breaks down how she raised a $4.7M seed round pre-product as a solo founder and why she chose to build an AI-enabled service instead of pure software. She reveals the exact user research playbook she used across 200 interviews, how to rebuild a monopoly like QuickBooks, why hitting product-market fit actually forced her to stop taking new customers, and how she raised a $15M Series A.
Why You Should Listen
Keywords
startup podcast, startup podcast for founders, product market fit, AI enabled services, fintech startup, user research, solo founder, raising seed round, B2B SaaS, finding pmf
00:00:00 Intro
00:02:13 The Origin Story
00:05:31 Doing 200 User Interviews Before Building
00:11:49 The "Magic Wand" Framework for User Research
00:14:33 Raising a $4.7M Seed as a Solo Founder
00:22:27 Why AI-Enabled Services Beat Pure SaaS
00:28:50 Rebuilding QuickBooks from Scratch
00:39:34 The Public Launch and PR Strategy
00:50:06 Why Saying "Yes" to Customers Hurt Growth
00:53:46 The Moment of True Product Market Fit
No transcript available for this episode.

A Product Market Fit Show | Startup Podcast for Founders

A Product Market Fit Show | Startup Podcast for Founders

A Product Market Fit Show | Startup Podcast for Founders