NewsAPI Industry Trend Digest
Track industry trends across news sources, identify emerging themes, and deliver a weekly digest your team actually reads.
The Challenge
Staying current on industry trends means reading dozens of newsletters, scanning Twitter, and skimming tech blogs every week. Most teams either have one person who does this manually (and burns out) or nobody does it at all. This prompt scans news sources automatically, groups articles by theme, and delivers a digest that gives your team the full picture in 3 minutes.
What This Prompt Does
Multi-Keyword Search
Break your industry into targeted queries for broad coverage
Theme Clustering
Group articles into emerging trends instead of a flat list
Signal Scoring
Rank articles as must-read, notable, or FYI
Slack Digest
Curated weekly roundup with a "So What?" section
The Prompt
The Prompt
Task
Use @NewsAPI/Search News ArticlesName it "NewsAPI/Search News Articles" and call it with @NewsAPI/Search News Articles to search for news across multiple industry-related keywords over the past 7 days. Use @google_searchName it "google_search" and call it with @google_search to supplement with blog posts and reports that NewsAPI might miss. Identify the top themes, group articles by topic, log raw data to Google Sheets via @Google Sheets/Add RowName it "Google Sheets/Add Row" and call it with @Google Sheets/Add Row, and post a curated digest to Slack via @Slack/Send MessageName it "Slack/Send Message" and call it with @Slack/Send Message.
Example: Give me a weekly digest of AI and machine learning news. Group by theme and post to #industry-news in Slack.
Input
The user will provide:
- Industry or topic area (e.g., "fintech", "AI/ML", "cybersecurity", "SaaS")
- Optional: specific subtopics or keywords to track
- Slack channel for the digest
- Optional: Google Sheet ID for archiving articles
Example: "Weekly roundup of everything happening in developer tools and DevOps. Post to #dev-news."
Context
Search Strategy
- Break the industry into 3-5 specific search queries to get broad coverage
- For "AI/ML": search "artificial intelligence", "machine learning", "large language models", "AI regulation", "AI startups"
- For "fintech": search "fintech funding", "digital payments", "neobank", "open banking", "fintech regulation"
- Run each query through NewsAPI with a 7-day time window
- Supplement with Google Search for industry reports, analyst takes, and blog posts
- Deduplicate articles that appear across multiple searches
- Group articles into 3-5 emerging themes based on content patterns
Theme Identification
Look for clusters in the news:
- Multiple articles about the same event or trend
- Recurring company names or technologies
- Regulatory or policy shifts getting coverage
- Funding patterns (e.g., several companies in the same space raising rounds)
- Product category trends (e.g., "AI coding assistants" appearing frequently)
Scoring Articles
Rank articles by signal strength:
- Must-read: Major industry shifts, regulatory changes, big funding rounds, market-moving news
- Notable: Interesting product launches, partnerships, analyst reports
- FYI: General coverage, opinion pieces, smaller announcements
What Makes a Good Digest
- Lead with the biggest theme, not the most recent article
- Give each theme a punchy one-line summary before listing articles
- Cap it at 10-15 articles total — be ruthless about what actually matters
- End with a "So What" section connecting trends to your team's work
Output
Slack Message Format:
Industry Digest: [Topic] — Week of [Date]
[2-3 sentence executive summary of the week's biggest themes]
Theme 1: [Theme Name] [One-line summary of this trend]
- [Article Title] ([Source], [Date]) — [1-line takeaway]
- [Article Title] ([Source], [Date]) — [1-line takeaway]
- [Article Title] ([Source], [Date]) — [1-line takeaway]
Theme 2: [Theme Name] [One-line summary]
- [Article Title] ([Source], [Date]) — [1-line takeaway]
- [Article Title] ([Source], [Date]) — [1-line takeaway]
Theme 3: [Theme Name] [One-line summary]
- [Article Title] ([Source], [Date]) — [1-line takeaway]
So What? [1-2 paragraphs connecting these trends to actionable implications for the team. What should we be paying attention to? What might change how we operate?]
[Total articles scanned] articles reviewed | [X] archived to Google Sheets
Example Usage
Try asking:
- →"Weekly AI and machine learning news digest for #industry-news"
- →"What happened in cybersecurity this week? Group by theme."
- →"Scan fintech news and post the top trends to #fintech-intel"