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Bookmark

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Bookmark is an AI-curated reading digest built around one simple idea: most readers do not want more content, they want better filtering.

The product delivers three strong articles each week, with summaries and lightweight curation, so the experience feels more like signal compression than newsletter sprawl.

What it does

  • curates weekly article digests
  • summarizes links into faster-to-scan takes
  • collects subscribers
  • supports both static and live digests
  • uses AI as part of the editorial workflow rather than as gimmick copy

Why it exists

This project reflects a product pattern I care about:

  • using AI to reduce noise instead of increase it
  • turning content overload into something usable
  • combining product judgment, workflow design, and distribution

Getting Started

npm run dev

Open http://localhost:3000.

Tech

  • Next.js
  • TypeScript
  • Supabase
  • Resend
  • Anthropic SDK
  • Tailwind CSS

Notes

  • Static fallback content and live digests coexist, with live entries taking priority when present.
  • The product is designed around calm UX and email-style distribution rather than feed addiction.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

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AI-curated reading digest focused on signal over noise, summaries, and product-minded information filtering.

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