Build predictive models with no prior ML experience
TLDR: Product developers need tools designed for them to build ML models. We’d love for you to try a demo of Mage without needing to sign up: https://www.mage.ai/onboarding My name is Tommy DANGerous (or Tommy Dang) and I’m the CEO and co-founder at Mage. I worked at Airbnb for over 5 years as a product developer building features for guests. Mage is a web-based tool for building, training, and deploying ML models that make predictions based off your data. Training and using ML models in production typically requires working knowledge of building data pipelines, algorithms,…
Build predictive models with no prior ML experience launched on March 17, 2022 with 70 votes, #682 of 3,153 launches that month and more than 90% of that year's launches.
In plain words
Mage is a web-based platform that enables product developers to build, train, and deploy machine learning models without specialized data science knowledge. The tool handles data pipelines, algorithms, and deployment infrastructure, allowing developers to create predictive models directly from their data. It targets product developers and teams who need ML capabilities but lack background in machine learning or data engineering.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
TLDR: Product developers need tools designed for them to build ML models. We’d love for you to try a demo of Mage without needing to sign up: https://www.mage.ai/onboarding My name is Tommy DANGerous (or Tommy Dang) and I’m the CEO and co-founder at Mage. I worked at Airbnb for over 5 years as a…
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