Hitting $30k MRR with an AI marketing product

by James Fleischmann (featuring Richard Wang)

AIcase-studyfounder-storygrowthvalidation

TL;DR: Leadmore AI demonstrates the validation-first approach at scale. Wang spends 1-3 months on user research and customer conversations before writing any code. He advocates for subtraction over addition—his initial MVP had three features but should have had one. The growth formula treats retention as the primary lever: new users × conversion × retention. A credit-based revenue model with refundable unused credits reduces friction. Reddit content marketing serves as the primary acquisition channel, leveraging platform expertise and community engagement.

Key Insights

50-100 customer conversations before writing code validates demand
Subtract features rather than add them for faster launch
Retention is the primary lever in the growth formula
Credit-based pricing with refundable unused credits reduces friction
Reddit content marketing can be a primary acquisition channel

Actionable Takeaways

Conduct 50-100 customer conversations before building
Launch with one feature rather than multiple
Focus on retention metrics over acquisition
Consider credit-based pricing for usage products
Build expertise in one platform (Reddit) for content marketing

Principles Validated (6)

Distribution

Partner with people who already have your target audience

Richard Wang (Leadmore AI)

Use content marketing and SEO to build organic acquisition channels

Richard Wang (Leadmore AI)

Founder Mindset

Immerse yourself in indie hacker communities to learn founder thinking

Richard Wang (Leadmore AI)

Pricing

Usage-based pricing aligns with value consumed

Richard Wang (Leadmore AI)

Product Strategy

Build minimal single-feature products rather than complex multi-feature apps

Richard Wang (Leadmore AI)

Validation

Conduct 50-100+ customer conversations before building

Richard Wang (Leadmore AI)

Read full article on indiehackers.comAdded Jan 20, 2026