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Before You Search: How SnapStash Discover Finds What Is Worth Reading Next

A publication plan and draft angle for introducing SnapStash Discover, the AI feature that finds new material from your interests and saved patterns before you search.

S
SnapStash Team
Published on July 3, 20262 min read

Search is useful when you know what to ask. Discover helps when you do not yet know what is worth reading next.

Publishing intent

  • Introduce Discover as the third part of SnapStash: Save, Find, Discover.
  • Turn a product feature into a search-friendly story around proactive content discovery.
  • Target users who save references but do not always know the next query to search.

Draft angle

Most productivity tools wait for a query. Discover should be framed as a gentler loop: it reads your interest signals, finds a useful candidate, explains why it matched, and learns from save or dismiss.

Outline

  1. The problem: saved material still depends on you remembering what to search.
  2. The shift: SnapStash uses interests and saved patterns to bring new reading material forward.
  3. How it works: selected topics, saved tags, web search, AI summary, key points, and match reason.
  4. Why it helps: less blank-search friction, better research momentum, and a feed that improves from feedback.
  5. Plan positioning: weekly preview for free users, daily personalized Discover for Premium.

SEO notes

  • Primary query: AI content discovery app.
  • Secondary queries: personalized reading discovery, AI screenshot organizer, find saved screenshots.
  • Internal links: /features/ai-powered-search, /use-cases/students, /blog/ai-screenshot-organizer-find-captures-again.

FAQ to include

What is SnapStash Discover?

Discover is a proactive feature that finds new web content from selected interests and saved patterns.

Search starts with a query. Discover starts with signals you already created through topics, saves, tags, and feedback.

Twitter:

Stop losing what you save

SnapStash reads every screenshot, link, and PDF you save, so you can find it again in the words you actually remember.

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