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  1. Show HN: The Data MCP – chat with any database, with memory and rules (thedatamcp.com)

    Built an MCP server for data work with memory and rules. Use cases: - Engineers: query your data from Claude/Cursor, debug issues, build with analytics in dev flow (like [1] but with memory and observability built in) -…

    2 points 0
  2. Building Reliable AI Analysts: Observability Framework for Text-to-SQL Systems (bagofwords.com)
    1 points 0
  3. Semantic Layers Are Bad for AI (bagofwords.com)
    1 points 0
  4. Show HN: I built an open-source AI data layer that connects any LLM to any data (github.com)

    Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short —…

    18 points 3
  5. Show HN: Open-Source AI Analyst in Slack (LLM and Python, Self-Hosted) (bagofwords.com)
    3 points 0
  6. Show HN: I built an AI-powered children's book generator for my 2-year-old (imaginebooks.com)

    Hi HN, After selling my company to a big tech firm and spending a few years there, I finally had the chance to take a break and spend time with my 2-year-old. Watching him grow has been incredible—everything fascinates…

    2 points 0
  7. I built an AI-powered children's book generator for my 2-year-old (imaginebooks.com)
    2 points 1
  8. Protecting LLM Instructions Leakage (bagofwords.com)
    1 points 0
  9. AI Software Engineer: Full Coding Prompt (bagofwords.com)
    2 points 0
  10. AI Software Engineer Planning Prompt (bagofwords.com)
    2 points 0
  11. Cnvrg.io Metacloud – an ML platform with BYOC/S (cnvrg.io)
    2 points 0
  12. Why we decided to release a free ML platform to the data science community (cnvrg.io)
    6 points 0
  13. Show HN: Machine Learning terms on every new tab (dictionary.cnvrg.io)
    2 points 0
  14. How to apply continual learning to your machine learning models (towardsdatascience.com)
    1 points 0
  15. How to use continual learning to your machine learning models (blog.cnvrg.io)
    1 points 0
  16. How to save up to 80% in cloud costs when training deep learning models (cnvrg.io)
    3 points 0
  17. Things to do while waiting for your models to converge (cnvrg.io)
    4 points 0
  18. Machine Learning Podcasts (cnvrg.io)
    3 points 0
  19. Deploy machine learning to production using Kubernetes (cnvrg.io)
    9 points 1
  20. Research – an important role in reproducible data science (cnvrg.io)
    1 points 0
  21. 100 most promising private artificial intelligence companies (cbinsights.com)
    2 points 0
  22. Emotify – Extract emotions from any given text (emotify.accessible.ai)
    2 points 0
  23. Apple Watch

    http://www.apple.com/watch/

    1 points 0
  24. Yelp Dataset Challenge (yelp.com)
    26 points 18
  25. How can Homebrew print a beer mug in Terminal? (superuser.com)
    2 points 0