Wilde的动态

Users expect great products now more than ever before. However, that quality does not have to come at the expense of time. At Wilde, velocity is baked into the architecture. Last week we received a lot of asks about building out a better cohort visualization. This week we’ve launched the new feature, and here are a few guiding principles: dbt is not just for analysts - Transformations are directly consumed by our dashboards.? - Data contracts and testing keeps things in check from unintended breaking changes. Move less data (shoutout DuckDB/MotherDuck) - No need for a backing analytics api to serve up data - Object types are closely shared between the sql that produces them and the consuming FE viz The dashboard below blends Wilde's predictive and historical ltv. If you’re interested in Wilde, shoot me a message! Would love to connect