ClawRadar — Real-Time Trend Monitor

Skill for OpenClaw | Version 1.0.0

What ClawRadar Is

ClawRadar is J's real-time trend intelligence layer. It watches X (Twitter) and Reddit continuously, scoring every post for engagement velocity, freshness, and niche relevance. When something is going viral in the AI/indie hacking/entrepreneurship space, J gets an instant Telegram alert — with context and a ready-made opportunity note.

The strategic insight: The window to ride a trend is 30–90 minutes. After that, the wave has passed and you're just noise. ClawRadar gives you that window, reliably, without manual monitoring.

What It Monitors

X (Twitter)

Searches run on every scan:

• "AI agent" — catching new tool releases, viral takes
• "indie hacker" — maker community momentum
• "AI automation" — workflow/productivity trends
• "MCP server" — protocol-level AI infrastructure
• "openclaw" — brand monitoring
• "SaaS launch" — product launches gaining traction
• "AI tool launch" — new tools going viral

Reddit Communities

• r/artificial — general AI discourse, breaking news
• r/MachineLearning — technical AI trends with research implications
• r/SideProject — indie projects gaining traction (launch opportunities)
• r/entrepreneur — business/founder mindset content
• r/ChatGPT — mainstream AI discourse and viral use cases
• r/singularity — forward-looking AI discussion

Why These Sources

X is where trends start. Reddit is where they get validated and discussed in depth. Together they cover the full lifecycle: early signal (X) → community validation (Reddit) → mainstream (everywhere else). ClawRadar catches it at stage 1 or 2.

How Scores Work

Composite Score (0–100+)

Score = (engagement_velocity × 0.40) + (freshness × 0.30) + (keyword_relevance × 0.30)

Engagement Velocity (40%):

(likes + 2×retweets + comments) / hours_since_posted

A post with 500 likes in 30 minutes scores higher than one with 500 likes over 3 days. RTs count double because they indicate content spread, not just approval.

Freshness (30%):

Linear decay from 100 (just posted) to 0 (2 hours old). Content older than 2 hours gets a freshness score of 0 and is excluded entirely.

Keyword Relevance (30%):

Each niche keyword hit = 10 points, capped at 100. Keywords include: AI, agent, automation, indie, saas, launch, GPT, LLM, Claude, OpenAI, Anthropic, MCP, tool, startup, revenue, and ~20 more.

Score Interpretation

Interpreting Alerts

Alert Anatomy

🚨 TREND RADAR — 2:30 PM MDT        ← when ClawRadar caught it
━━━━━━━━━━━━━━━━━━━━━
📈 VIRAL: "[Post title/tweet]"       ← the content (first 200 chars)

Platform: X | By: @username         ← source and author
Engagement: 4.2K likes, 1.1K RTs    ← raw engagement numbers
in 45min                            ← how long since posted
Relevance: AI tools, indie hacking  ← which niches it hits
Score: 🔥🔥🔥🔥 (82/100)              ← composite score + fire rating
URL: [link]                         ← direct link to engage

💡 Opportunity: [action suggestion]  ← what to do right now
━━━━━━━━━━━━━━━━━━━━━

Reading the Opportunity Note

The opportunity note is auto-generated based on niche tags:

• AI tools/automation → Thread on @HutchCOO comparing to your builds
• Indie hacking/SaaS → Build-in-public update or reply with your angle
• Reddit → Jump into comments for targeted exposure
• Faith+tech → Engage now and cross-post Prayful context
• Entrepreneurship → Your story (restaurants → agency → AI) is uniquely relevant

These are starting points — use your judgment. The best engagement is always authentic and specific.

Responding to a Trend

Decision Framework

Act now (score 70+, age \x3C45 min):

1. Open the URL immediately
2. Read the content + top replies
3. Choose your angle (see templates below)
4. Post within 15 minutes of receiving the alert

Act soon (score 55–70, age \x3C90 min):

1. Read the content when you can
2. Post a reply or thread within 60 minutes
3. Still valuable, just less urgent

Skip if:

• You don't have a genuine perspective on it
• You'd just be saying "great point!" with no substance
• The thread is already 200+ replies deep with no top spots left
• It conflicts with your brand voice

Content Templates

X Reply Template

[Specific observation about their point]

[Your contrasting or complementary experience]

[One specific thing you're building/doing that's relevant]

[Optional: Question that adds to the conversation]

Example:

The hardest part about AI agents isn't the intelligence — it's the persistence. Getting them to remember context, resume tasks, and not forget everything between sessions.

Building this exact problem away with @openclaw. Still hard, but getting there.

What's your biggest agent reliability issue?

X Thread Template (for major trends)

Tweet 1: [Hook — the trend or contrarian take]
Tweet 2: [Why this matters / what most people miss]
Tweet 3: [What you're actually doing about it]
Tweet 4: [The result / what you learned]
Tweet 5: [Call to action or question]

Reddit Comment Template

[Acknowledge what OP said specifically]

[Your real experience or data point]

[Relevant project/context without being salesy]

[Question or invitation to discuss]

Adjusting ClawRadar

All config lives in clawradar/radar.py under CONFIG.

Adjust Sensitivity

# More alerts (lower bar):
"score_threshold": 40,

# Fewer, higher-quality alerts:
"score_threshold": 70,

# Catch older but still relevant content:
"max_age_hours": 4,

Add Keywords

"keywords": [
    # Existing...
    "prayful",   # Your app name
    "MFJ",       # MyFirstJob
    "GND",       # Good Neighbor Design
],

Add Niche Keywords (triggers niche filter)

"niche_keywords": [
    # Existing...
    "local business",    # GND niche
    "web design",        # GND niche
    "bible app",         # Prayful niche
],

Add X Searches

"x_searches": [
    # Existing...
    ("local business website", 15),
    ("web design agency", 10),
    ("bible app launch", 10),
],

Add Subreddits

"subreddits": [
    # Existing...
    ("webdev", "hot", 20),
    ("smallbusiness", "hot", 20),
    ("Christianity", "hot", 15),
],

Cron Status

ClawRadar runs every 30 minutes, 7am–11pm Mountain.

# Check cron status:
openclaw cron list

# Run now:
openclaw cron run --name "ClawRadar — Trend Monitor"

# View run history:
openclaw cron runs --name "ClawRadar — Trend Monitor"

Troubleshooting

No Alerts (expected behavior check)

ClawRadar is designed to stay silent when there's nothing notable. Silence = no viral trends in your niche right now. That's correct behavior.

To verify it's running and scoring:

python3 clawradar/radar.py --dry-run --debug --threshold 20

This will show everything it found, scored, and filtered — even content that didn't make the threshold.

Getting Too Many Alerts

# Raise threshold:
"score_threshold": 70,
# Or add more restrictive niche keywords

Getting Too Few Alerts

# Lower threshold:
"score_threshold": 40,
# Add more search queries
# Add more subreddits
# Expand keywords list

X Searches Failing

Verify bird CLI is working:

bird --chrome-profile "Profile 1" search "AI" --count 5 --json

If it fails, the Chrome session may need refreshing. Open Chrome with "Profile 1" and visit X.com to re-authenticate.

Reddit Rate Limiting

Reddit's public JSON API allows ~60 requests/minute. ClawRadar includes 500ms delays between subreddit calls. If you see HTTP 429 errors, increase the delay in fetch_reddit_posts().

Architecture Notes

No external dependencies beyond Python 3.9+ stdlib + bird CLI + openclaw. No API keys, no PRAW, no OAuth flows. Reddit uses the public JSON API (reddit.com/r/subreddit.json). X uses bird CLI (which handles Chrome cookie extraction).

Idempotent — runs safely every 30 minutes. The seen.json tracker ensures you never alert on the same content twice within 48 hours.

Graceful degradation — if X is down, Reddit still runs. If a subreddit errors, the rest continue. No single point of failure.

Logs

# Live tail:
tail -f clawradar/logs/radar.log

# Last 50 lines:
tail -50 clawradar/logs/radar.log

# Count alerts sent today:
grep "Alert sent" clawradar/logs/radar.log | grep $(date +%Y-%m-%d) | wc -l

ClawRadar v1.0.0 | Part of the Ten Life Creatives operating system | openclaw.ai