[ForHackernews]

This is a great idea. I've thought about doing something similar! On the other hand, I'm not sure it's a business. Is this using AI?

The pricing seems extremely high for what's basically a call to https://github.com/faker-ruby/faker but that makes sense if it has to pay for OpenAI tokens.

(who knows though, plenty of B2B deals signed for sillier things than this - good luck, OP)

[tbrannan]

Thanks! To clarify, the core engine isn't AI. It's deterministic pattern matching, so it runs in milliseconds with no token costs. There's an optional "Story Mode" that uses AI for narrative-coherent data (like "a churning SaaS with seasonal trends"), but the base product is just schema parsing + smart type inference.

The difference from Faker: you don't write any code. Paste your CREATE TABLE, get data back. Faker is a library you have to integrate, configure field-by-field, and maintain as your schema changes. Different use case — more like "I need a seeded database in 30 seconds" vs "I'm building a test suite."

Fair point on pricing though, still figuring that out. Appreciate the feedback.