tools.showhntoday
Product Manager's Interpretation
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  • Highlight 1

    The integration with Hacker News allows users to stay updated on interesting stories and discussions, enhancing their reading experience.

  • Highlight 2

    The customizable delivery feature empowers users to control the frequency of content they receive, accommodating different reading habits.

  • Highlight 3

    The easy setup with options for hosting gives flexibility to technically inclined users, allowing them to tailor the service to their needs.

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  • Improvement 1

    The newsletter support, though promised, is still 'coming soon,' and the lack of this feature may limit user engagement in the meantime.

  • Improvement 2

    User interface could be refined to provide a more seamless and intuitive setup process for those unfamiliar with self-hosted applications.

  • Improvement 3

    Enhanced error handling and user notifications for issues (e.g., if content retrieval fails) would improve user experience significantly.

Suggestions
  • Product Functionality

    Consider adding support for multiple content sources or the ability to customize the types of stories fetched to enhance user personalization.

  • UI & UX

    Improving the setup wizard could make it more user-friendly, especially for non-technical users.

  • SEO or Marketing

    Develop a content marketing strategy that includes blog posts about productivity and digital wellness to attract users looking to reduce screen time.

  • MultiLanguage Support

    Implement multi-language support to reach a wider audience who could benefit from this service.

FAQ
  • 1

    How does Kindle Digest work?

    Kindle Digest fetches content from Hacker News, formats it for Kindle, and delivers it to your device based on your selected frequency.

  • 2

    Can I use Kindle Digest for newsletters?

    Yes, newsletter support is coming soon, with plans to integrate RSS feeds and email parsing.

  • 3

    How do I set up Kindle Digest?

    You can host Kindle Digest yourself using AWS Lambda or your own machine by following the provided instructions on the GitHub page.