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DataConstruct
We fake it till you make it
DataConstruct is a realistic mock data generator with code generation, plus support for different frameworks
Top comment
Writing test data and then writing out the code to consume it is a tedious process. Especially if you need it across multiple programming languages and database(s). What if you could easily define what your schema should look like, and get your data, code, and SQL automatically sorted out. Hello I’m Marko, one of the makers of DataConstruct. The way it works is simple: you define your schema and constraints, select the format(s) you need it in, and let DataConstruct generate your test data and code. You can get started with our tool immediately at our playground - https://www.dataconstruct.io/org... (no signup or credit card needed, the only limitation is a 1000 rows per generate). We’re excited to see and hear how DataConstruct can simplify your development work. Let us know what you think in the comments, and what you'd like to see us add next! Edit: Also if you're interested in generating data locally our core data faking library is open source here (rust + javascript / typescript support) https://github.com/Data-Construc... Documentation is quite lacking, but I'll leave the link for completeness sake.
About DataConstruct on Product Hunt
“We fake it till you make it”
DataConstruct launched on Product Hunt on April 8th, 2024 and earned 133 upvotes and 22 comments, placing #15 on the daily leaderboard. DataConstruct is a realistic mock data generator with code generation, plus support for different frameworks
On the analytics side, DataConstruct competes within Developer Tools and Data — topics that collectively have 514.8k followers on Product Hunt. The dashboard above tracks how DataConstruct performed against the three products that launched closest to it on the same day.
Who hunted DataConstruct?
DataConstruct was hunted by Marko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of DataConstruct including community comment highlights and product details, visit the product overview.