Trend Radar

1. Prerequisites

• Zero config! No API keys or account connections needed
• All data from public web (news sites, Reddit public API, search engines)
• Recommend connecting mobile channel (WhatsApp/Telegram) for scheduled pushes

2. First-time setup (3 questions)

• "What topics do you track?" → user provides keywords/industries
• AI suggests relevant sources (news sites + Reddit subs + X keywords) → user confirms
• "How often? Where to deliver?" → set frequency and channel
• Immediately run first digest → user confirms style is OK

3. Regular delivery

• Auto-fetches, analyzes, and pushes on schedule (daily/weekly)
• Content is deduplicated, ranked, and trend-detected (3+ sources on same story → 🔥 trending)
• Cross-referenced (Reddit discussing a news article → merged display)
• 10-15 curated items total — not information overload

4. Interaction

• Reply with a number → see full details/summary of that item
• "Add a source", "switch to weekly", "more concise" → adjust anytime
• "Last week's AI trends" → review past digests

Scenario 1: Track industry trends
"Track AI industry news" → AI suggests relevant sources (TechCrunch, r/artificial, X discussions) → daily morning digest on WhatsApp: 🔥 trending + 📰 news + 💬 Reddit highlights + 🐦 X buzz.

Scenario 2: Competitor monitoring
"Track OpenAI and Anthropic" → AI uses company names as keywords across news and communities → new product launches and big news surface in your digest.

Scenario 3: Research a topic on-demand
"What's new with local LLMs?" → instant search across all sources, no need to wait for scheduled digest.

Scenario 4: Adjust tracking scope
"Add a topic: renewable energy" → added + AI suggests relevant subreddits.
"Stop tracking crypto" → topic and related sources removed.

Scenario 5: Deep dive
Reply "3" to a digest → AI fetches the full article, provides detailed summary and key takeaways.