tools.showhntoday
Product Manager's Interpretation
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  • Highlight 1

    The app streamlines the data entry process significantly by converting voice and image inputs into structured data, saving users time and effort.

  • Highlight 2

    The integration with Google Sheets allows for seamless data management and accessibility, making it easier for users to organize and analyze their information.

  • Highlight 3

    The user-friendly setup process for creating rowmakers encourages quick onboarding and ensures users can start tracking data with minimal effort.

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  • Improvement 1

    The app currently supports only Google Sheets; adding support for other spreadsheet platforms could broaden its user base.

  • Improvement 2

    Implementing an offline mode with the local LLM extraction feature could enhance usability, especially in areas with poor internet connectivity.

  • Improvement 3

    Offering increased customization options for rowmakers, such as different field types (e.g., dropdowns, checkboxes), would improve flexibility for varied use cases.

Suggestions
  • Product Functionality

    Expand spreadsheet support beyond Google Sheets to include platforms such as Excel or Airtable for greater user flexibility.

  • UI & UX

    Enhance the user interface with a more modern look and improved navigation to create a better visual experience.

  • SEO or Marketing

    N/A

  • MultiLanguage Support

    Consider adding multi-language support to cater to non-English speaking users, increasing the app's market reach.

FAQ
  • 1

    What is RowMaker?

    RowMaker is an app that automates data entry into spreadsheets by converting images and voice notes into structured data for Google Sheets.

  • 2

    How does RowMaker work?

    Users create a 'rowmaker' to define the columns of their spreadsheet. They can then take pictures or record voice notes, which RowMaker processes to extract data and add it as rows in the spreadsheet.

  • 3

    Is RowMaker free?

    New users receive 20 free credits, and additional credits can be purchased at $1 for 100 credits, with each data extraction consuming one credit.