3.3 / 5

Smart Queue

Save articles to read later, AI prioritizes by relevance

Useful

The Problem

Read-later queues become graveyards; no prioritization means nothing gets read

Current Solutions (Not Great)

Pocket (chronological), Instapaper (same), bookmarks (chaos), tabs (memory hog)

Who Needs This

Information workers, avid readers, researchers, newsletter subscribers

Read-later apps have a dirty secret: the queue grows forever and you never catch up. Smart Queue is different. When you save an article, AI evaluates it against your interests and current priorities. Your queue is sorted by relevance, not recency. Stale articles sink. Articles related to your active projects rise. It also estimates reading time, suggests the best order for learning a topic, and lets you know when something in your queue has become outdated.

Honest Take

Pocket and Instapaper dominate read-later, and people have existing workflows that are hard to switch. The AI prioritization is genuinely differentiated—everyone's Pocket queue is a graveyard—but you need to nail the relevance algorithm or it'll feel arbitrary. Niche power-user audience but they'd be loyal if it actually works.

Monetization Ideas

Ways to turn this into revenue

Freemium

Free basic, $5-15/mo for pro

One-Time Purchase

$9-49 per license

Subscription

$5-29/month or $49-199/year

Features

Key features that make this app valuable

One-click save from any page
AI relevance scoring against your interests
Smart sorting (not just by date)
Reading time estimates
Topic clustering
Staleness detection (outdated articles sink)
Learning path suggestions (read these in order)
Weekly digest of top priorities

Build Prompt

Use this prompt with an AI assistant to start building

Build a Chrome extension called 'Smart Queue' using WebInfer. Manifest V3 with contextMenus, activeTab, storage, alarms, notifications permissions. On 'Save to Queue' (context menu or toolbar), extract article: title, URL, text content, publish date. Store in chrome.storage.local. User interest profile built from: saved articles' topics, time spent reading (tracked when opened from queue), explicit interest tags. Alarms API triggers daily re-ranking. For each article, use generateObject to return { relevanceScore: number, topicMatch: string[], freshness: 'current'|'aging'|'stale', readingTime: number, recommendedPriority: number, learningPath?: string }. Popup shows prioritized queue: highest relevance first, stale items at bottom. Topic filters. 'Reading path' groups related articles in suggested order. Weekly notification: 'Your top 3 articles this week'. 'Purge stale' button removes old low-relevance items. Reading progress tracking.

Score Breakdown

Pain