If you’ve ever needed test data for a new feature, a demo, or a QA environment, you know the drill. Either you spend an hour writing fake records by hand, or you’re tempted to just use real customer data where you really shouldn’t.
I’ve spent 20-plus years working with structured data and systems professionally, and kept running into this same problem across different projects. So I started offering a small service generating clean, realistic synthetic datasets, matched to whatever schema you actually need.
A recent sample dataset I built was a 2,000 row synthetic SaaS customer base, names, emails, signup dates, plan tiers, spend data, all internally consistent, meaning higher plan tiers correlated with higher spend, login dates always came after signup dates, that kind of logical structure that makes fake data actually useful for testing rather than just noise.
If this is something you’d use, happy to help, I’m running this through Fiverr right now: https://www.fiverr.com/s/9d2drPx . Also happy to just chat if you’ve got questions about approaches to synthetic data generation in general, always interested in how other devs are solving this same problem.
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