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was a software engineer who noticed a massive problem: accounting software for startups was broken, manual, and weeks out of date.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

How to raise a $4.7M seed round as a solo founder with zero revenue.
Why building an AI-enabled service beats selling pure SaaS.
Why saying "yes" to too many customers will destroy your growth.
How to conduct 200 user interviews before writing a single line of code.
Why rebuilding a legacy monopoly is no longer a crazy idea.

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

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