Show HN: SyntheticRows – expand small datasets, with an honest quality score

- SyntheticRows is a new web tool that lets you upload a small dataset (e.g., a CSV file) and generates a larger, synthetic version of it using AI. - The key feature is an "honest quality score" — a built-in metric that tells you how close the generated data is to the real data, so you can judge if the synthetic data is reliable for your use case (training ML models, testing software, etc.). - Synthetic data has become a hot topic in tech as companies try to overcome data scarcity and privacy concerns, but critics note that low-quality synthetic data can introduce biases or break downstream models. - The tool is being launched on Hacker News (Show HN), a community where developers showcase side projects and startups, making this an early-stage public release seeking feedback.