Story

7:38 PMHey HN, I'm a solo founder who built GreenOnion (https://greenonion.ai) - an AI tool that generates Amazon A+ Content and listing images from a product photo in 30 seconds. The problem: Amazon/Etsy sellers need professional product images, but hiring designers costs $100-500 per product, DIY takes 3-5 hours, and they have 50-200 products in their catalogs. What's different: Most AI tools need detailed prompts and give inconsistent results. I found the "fine line" where AI reliably produces production-ready outputs (95%+ usable) while still feeling authentic to the brand. Technically it's layered prompts across models, but the real work was finding constraints that keep outputs both creative AND reliable. Current state:

Launched a month ago after repositioning to focus specifically on ecommerce 9 paying customers (first one bought highest tier immediately) One said she "wanted to cry" because she'd been struggling with this for months Outputs good enough that I use them on my own site

What I'm struggling with:

Pricing: $149 for ~33 A+ Content pieces feels too cheap for a $3K problem The tech is "just prompts" - how do you build defensibility with API-based models? Stay focused on ecommerce or expand to other use cases?

Would love feedback, especially from solo founders on pricing and AI builders on moats. Examples (all one-shot, no editing): https://greenonion.ai/use-cases/amazon-bulk-listing-images

Thanks for reading!