Recce helps data teams discover actual data impact and turn insight into actionable checklists for dbt pull request reviews. It’s a practical way to implement data best practices - know what’s changing, understand the impact, and merge with clarity.
Explore, validate, and share data impact before merging
Recce helps data teams discover actual data impact and turn insight into actionable checklists for dbt pull request reviews. It’s a practical way to implement data best practices - know what’s changing, understand the impact, and merge with clarity.
Hey Product Hunt! I’m CL, founder of Recce . After two decades building developer tools, including one of the first distributed version control systems[1] used by Apple, I've witnessed firsthand how transforming the development process fundamentally reshapes entire industries. As data-centric development workflows are taking over, we’ve hit a breaking point and the way we build and review data changes hasn’t kept up. This becomes the bottleneck for turning company's own data as their most valuab
Great for data teams! Simplifies our workflows. 👍
No more firefighting for our data team please! 🙏
Hey CL! I love the story behind Recce and how it’s addressing a real bottleneck in the data development process. Here's a refined version of your launch post that keeps your original message but emphasizes the unique features and value of Recce more clearly:
The new sharing features are amazing for sharing data checks with stakeholders before merging. Don't forget that you can take Recce for a spin with the online demo instanced, no login required. Logic fix to customer_lifetime_value and financial model updates: Pull request: https://github.com/DataRecce/jaffle_shop_duckdb/pull/46 Recce Instance: https://pr46.demo.datarecce.io/#!/lineage
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.