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TommyDANGerous

↗ HN profile [ 145 ms ] full profile
Karma
33
Created
November 10, 2011 (14y ago)
Submissions
0
ex-Airbnb engineer (data, ML)
  1. 1 points 0
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  3. Show HN: Mage new site! Data plumbing without the [crap]

    Just dropped our new design for the Mage website! Mage is an open-source data pipeline tool for transforming and integrating your data.

    3 points 1
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  5. Show HN: Transform & integrate data with this modern replacement for Airflow

    You can now use Mage to build data integration pipelines along with streaming pipelines, batch processing pipelines, and more: https://www.mage.ai

    4 points 1
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  9. Show HN: Build data pipelines visually and with code (github.com)
    12 points 0
  10. Show HN: All-in-one open source tool for data pipelines (github.com)
    21 points 0
  11. Show HN: Airflow is cool but have you tried this for data pipelines? (github.com)
    9 points 1
  12. Show HN: Low-code tool for transforming data (github.com)
    6 points 0
  13. Show HN: Open-source code editor for transforming data and building ML pipelines (github.com)
    6 points 0
  14. Having less deaths leads to a higher win rate than getting more kills (old.reddit.com)
    7 points 0
  15. Increase your League of Legends rank using ML (mage.ai)
    64 points 3
  16. Show HN: 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…

    70 points 11
  17. Mage, the Stripe for AI, Launches General Availability (finance.yahoo.com)
    1 points 0
  18. Mage launches low-code AI dev tool into general availability (venturebeat.com)
    1 points 0
  19. Mage Achieves SoC 2 Type I Compliance (finance.yahoo.com)
    1 points 1
  20. Guide to model training: Part 4 – Ditching datetime (dev.to)
    1 points 0
  21. The next evolution of Mage is coming (twitter.com)
    1 points 0
  22. Guide to model training: Part 3 – Estimating your missing data (dev.to)
    1 points 0
  23. How to write technical design docs (dev.to)
    1 points 0
  24. Knowledge Graph Inference with Neural Embeddings (dev.to)
    1 points 0
  25. Technical Interviews Devs Enjoy (dev.to)
    1 points 0