| name | trendhunter |
| description | Monitors the web for topics you care about and surfaces signals before they peak. Tracks Twitter, Reddit, Hacker News, Product Hunt, and custom sources. Use when: staying ahead of industry trends, monitoring competitors, or catching viral content early. NOT for: social media analytics dashboards, sentiment analysis at scale, or building trend prediction models. |
| homepage | https://pawhub.ai/trendhunter |
| metadata | {"openpaw":{"emoji":"🔍","requires":{"bins":["curl","jq"]},"install":[{"id":"npm","kind":"node","package":"@pawhub/trendhunter","bins":["trendhunter"],"label":"Install TrendHunter (npm)"}]}} |
TrendHunter 🔍
Catch trends before they blow up. Monitor keywords across Twitter, Reddit, HN, Product Hunt, and custom sources. Get pinged when something's heating up.
When to Use
✅ USE this skill when:
- Monitoring industry keywords (e.g., "AI agents," "web3")
- Tracking competitor mentions
- Catching viral content early
- Staying on top of tech/product launches
- Finding breaking news in your niche
- Discovering emerging technologies
- Monitoring brand mentions
- Spotting opportunities before they peak
When NOT to Use
❌ DON'T use this skill when:
- Building full social media analytics dashboards → use Sprout Social, Hootsuite
- Large-scale sentiment analysis → use Brandwatch, Meltwater
- Training trend prediction ML models → use historical datasets
- Real-time stock trading signals → use specialized fintech tools
- Competitive intelligence at enterprise scale → use Crayon, Klue
- Academic research on social trends → use proper research tools
Setup
Install TrendHunter:
npm install -g @pawhub/trendhunter
Configure sources:
trendhunter add-source twitter --api-key YOUR_KEY
trendhunter add-source reddit
trendhunter add-source hackernews
trendhunter add-source producthunt --api-key YOUR_KEY
trendhunter add-source rss --url https://example.com/feed
trendhunter sources list
Example Interactions
Setting Up Watches
You: Watch for mentions of "AI agents"
Paw: configures trend watch
✅ Tracking: "AI agents"
Sources:
- Twitter/X (tracking keyword + hashtags)
- Hacker News (stories + comments)
- Reddit (r/artificial, r/MachineLearning, r/technology)
- Product Hunt (product descriptions + comments)
Baseline activity (last 7 days): 342 mentions/day
Alert triggers:
- 🔥 Spike: >2x baseline (>680 mentions/day)
- 📈 Trending: sustained 50% increase over 48 hours
- 🌟 Viral post: single post with >1000 engagements
Notification: Telegram (instant)
I'll ping you when something moves. 🎯
You: Also watch "GPT-5" and "Claude 4"
Paw: adds more watches
✅ Now tracking 3 keywords:
- AI agents (342/day baseline)
- GPT-5 (89/day baseline)
- Claude 4 (127/day baseline)
All sources active. I'll surface signals when things heat up.
Pro tip: These are adjacent topics. Want me to group them into a "AI Models" bundle? (easier notifications)
You: Yes
Paw: ✅ Bundle created: "AI Models"
Single notification stream for all related activity. Less noise, better signal. 📊
Catching a Trend
Paw: 🔥 Trend Alert: "AI agents" is spiking
Activity: 1,240 mentions (last 24h)
Baseline: 342 mentions/day
Change: +263% 📈
Top sources:
- Twitter: 847 tweets (+312%)
- Hacker News: 3 front-page stories
- Reddit: 156 posts (r/artificial is buzzing)
Viral posts:
- Twitter: "@founder: We're open-sourcing our AI agent framework" (8.2k likes, 2.1k retweets)
- HN: "Show HN: Built an AI agent that actually works" (742 points, 289 comments)
Sentiment: 78% positive, 15% neutral, 7% critical
Trend velocity: Rising fast (peaked 2 hours ago, still elevated)
Your move:
- Read top posts? (
/trend read)
- Save for later? (
/trend save)
- Set follow-up alert? (
/trend follow)
What do you want to do? 🔍
You: Read top posts
Paw: Top 3 Posts:
1. Twitter — @founder (8.2k likes)
"After 6 months of building, we're open-sourcing our AI agent framework. Works with Claude, GPT-4, and local models. MIT licensed.
Features:
- Tool calling
- Memory persistence
- Multi-agent coordination
Star it: [GitHub link]"
Engagement: 8,241 likes, 2,103 retweets, 412 replies
Vibe: Very positive, lots of "this is what we needed" energy
2. Hacker News — "Show HN: Built an AI agent that actually works"
Solo founder spent 6 months building a production-ready AI agent framework. Open source, well-documented, works with multiple LLM providers.
Discussion highlights:
- "Finally, something that doesn't hallucinate tool calls"
- "The memory system is clever"
- "This vs LangChain?"
Score: 742 points (trending #3 on front page)
Comments: 289 (mostly positive, some technical deep-dives)
3. Reddit — r/artificial
"New open-source AI agent framework drops. Actually production-ready."
Thread: 156 upvotes, 47 comments
Top comment: "Used it this morning. It's legit. Memory actually works."
Summary:
This is a legit launch, not just noise. Framework looks solid, community reception is strong. Might be worth checking out.
Want me to track this specific project going forward? 🎯
You: Yes, track it
Paw: ✅ Tracking: "@founder's agent framework"
I'll monitor:
- GitHub stars/activity
- Social media mentions
- HN/Reddit follow-up discussions
- Related blog posts/tutorials
You'll get updates when there's movement. 📚
Competitive Monitoring
You: Watch my competitor "CompetitorCo"
Paw: sets up competitor watch
Tracking: CompetitorCo
Monitoring:
- Brand mentions (Twitter, Reddit, HN)
- Product launches (Product Hunt, Twitter)
- Hiring activity (LinkedIn, job boards)
- Content releases (blog, Medium)
- Press coverage (TechCrunch, The Verge, etc.)
Baseline (last 30 days):
- 47 mentions/day
- Last launch: 23 days ago ("Feature X")
- Recent press: TechCrunch (2 weeks ago)
Alert me when:
- New product launch detected
- Significant press coverage (Tier 1 outlets)
- Mention spike (>2x normal)
- Major hiring push
Sound good? 🔍
You: Yes
Paw: ✅ Competitor watch active. I'll keep you posted on their moves. 🕵️
3 days later...
🚨 Competitor Alert: CompetitorCo
Activity: New product launch detected
Source: Product Hunt (posted 2 hours ago)
Product: "FeatureY — The thing you've been asking for"
Votes: 287 (trending #2)
Comments: 43
Description snippet:
"FeatureY solves [problem] with [approach]. Built for [target audience]."
Early reception: Positive (89% upvote rate)
Founder comment: Active in replies, engaging with users
Your move:
- Check it out? [Product Hunt link]
- Track mentions? (watch "FeatureY" keyword)
- Analyze approach? (I can pull full details)
Want the full breakdown? 📊
Morning Digest
Paw: ☀️ TrendHunter Daily Digest
Watches: 8 active
Activity (last 24h):
🔥 Trending:
-
"AI agents" — 890 mentions (+160%)
- Twitter: New framework launch (still buzzing)
- HN: 2 front-page stories
-
"CompetitorCo" — 312 mentions (+564%)
- Product Hunt: FeatureY launch (trending #2)
- Twitter: Founder thread gaining traction
📊 Normal Activity:
- "GPT-5" — 94 mentions (steady)
- "Claude 4" — 118 mentions (slight uptick)
💤 Quiet:
- Other watches below baseline (no signals)
Top Stories (curated):
- [Twitter] AI agent framework goes viral (8k+ likes)
- [HN] "Show HN: Production-ready agent" (742 pts)
- [PH] CompetitorCo launches FeatureY (#2 trending)
Action items:
- Consider checking out the AI agent framework
- Monitor CompetitorCo's FeatureY reception
Have a good day. 🔍🐾
Commands
Watch Management
trendhunter watch "AI agents" \
--sources twitter,reddit,hn \
--alert spike,trending
trendhunter watch "startup funding" \
--threshold 2.5x \
--min-baseline 50
trendhunter bundle create "AI Models" \
--keywords "GPT-5,Claude 4,Gemini 2"
trendhunter watch list
trendhunter watch remove "AI agents"
trendhunter watch pause "AI agents"
Competitor Monitoring
trendhunter competitor add "CompetitorCo" \
--monitor launches,press,mentions
trendhunter competitor add-bulk competitors.txt
trendhunter competitor report "CompetitorCo"
trendhunter competitor compare "CompA" "CompB"
Trend Analysis
trendhunter trending --source twitter --last 24h
trendhunter velocity "AI agents" --chart
trendhunter sentiment "AI agents" --sources all
trendhunter clusters --keywords "AI,ML,agents"
trendhunter export "AI agents" --format csv --days 30
Alerts & Notifications
trendhunter alert config "AI agents" \
--spike 2x \
--trending 1.5x \
--viral 1000
trendhunter notify set telegram,email
trendhunter notify quiet 22:00-08:00
trendhunter notify test
Reports
trendhunter report daily
trendhunter report weekly
trendhunter report custom \
--watches "AI agents,GPT-5" \
--days 7 \
--format markdown
Source Configuration
trendhunter source add twitter --api-key YOUR_KEY --api-secret YOUR_SECRET
trendhunter source add reddit
trendhunter source add hackernews
trendhunter source add producthunt --api-key YOUR_KEY
trendhunter source add rss --url https://blog.example.com/feed --name "Example Blog"
trendhunter source test twitter
trendhunter source remove twitter
Telegram Integration
Quick checks:
You: /trend check "AI agents"
Paw: "AI agents" activity (last 24h):
📊 847 mentions (+148% vs baseline)
🔥 Status: Trending
📈 Velocity: Rising
Top post: "@founder: open-sourcing framework" (8.2k likes)
Daily digest:
You: /trend digest
Paw: sends formatted digest
TrendHunter Digest:
- 🔥 2 trending
- 📊 4 normal
- 💤 2 quiet
React for details or /trend report for full breakdown.
Quick actions:
/trend add "keyword" — Add watch
/trend top — Show top trending
/trend competitor CompanyName — Competitor report
Configuration
trendhunter config show
trendhunter config set default-sources "twitter,reddit,hn"
trendhunter config set check-interval 30
trendhunter config set default-threshold 2.0
trendhunter config set sentiment-enabled true
trendhunter config set language en
trendhunter config set timezone "America/Los_Angeles"
Tips from Paw
"Start with 3-5 keywords max. More than that and you'll drown in notifications. Quality over quantity."
"Competitor monitoring is where this shines. You'll know about their launches before their own customers do."
"The daily digest is non-negotiable. Set it for 8 AM. You'll catch trends while drinking coffee."
"Use bundles for related terms. 'AI agents,' 'GPT-5,' 'Claude 4' should be one bundle, not three separate watches."
"Baselines take 7 days to stabilize. Don't panic if early alerts seem noisy. It learns your patterns."
Pricing
- Free tier: 3 watches, 2 sources, daily digest
- Pro: $12/month — 20 watches, all sources, hourly checks, sentiment analysis
- Team: $39/month — unlimited watches, competitor monitoring, API access, shared dashboards
Install from PawHub or pawhub.ai/trendhunter
Privacy
- No social media credentials stored (read-only API access)
- Keyword watches stored locally on your gateway
- Social data is ephemeral (not permanently stored)
- Export your data anytime
- Can run fully offline with RSS-only sources
Notes
- Twitter/X requires API access (paid tiers recommended for high volume)
- Reddit and Hacker News work without authentication
- Product Hunt requires free API key
- Baseline calculation: 7-day rolling average
- Alerts use statistical thresholds (configurable)
- Supports regex for advanced keyword matching
Built for people who want to catch waves before they crest. 🔍🐾