ClawRadar is a real-time trend intelligence layer that monitors X and Reddit to alert users of viral opportunities in the AI and indie hacking spaces.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawradar
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install clawradar using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ClawRadar?
ClawRadar serves as a sophisticated trend detection engine designed specifically for the Openclaw Skills ecosystem. By continuously scanning X (Twitter) and Reddit, it identifies high-velocity content within the AI, automation, and SaaS niches, ensuring that developers and founders can capitalize on trending topics within a critical 30-90 minute window.
The skill goes beyond simple keyword matching by employing a proprietary scoring algorithm that evaluates engagement velocity, freshness, and niche relevance. This allows users to filter out the noise and focus exclusively on high-impact signals that warrant immediate action or engagement.
ClawRadar Use Cases
- Detecting viral AI tool launches and industry news on X before they reach mainstream channels.
- Identifying trending discussions in subreddits like r/MachineLearning or r/SideProject for community validation.
- Monitoring brand mentions for Openclaw Skills to maintain active community presence.
- Automated opportunity scouting for indie hackers looking to ride the wave of trending SaaS topics.
How ClawRadar Works
- The skill executes automated searches across X and targeted subreddits every 30 minutes during peak hours.
- Each discovered post is passed through a scoring engine calculating a Composite Score based on engagement velocity, freshness, and keyword hits.
- Content scoring above the user-defined threshold triggers an instant Telegram alert containing context and platform-specific metadata.
- The system generates an Opportunity Note suggesting a specific response angle based on the content's niche.
- To prevent spam, the skill maintains a state file to ensure a single post is never alerted more than once within a 48-hour period.
ClawRadar Setup
To integrate ClawRadar into your environment, follow these steps:
# Ensure Openclaw and bird CLI are installed
# Check the current cron status for ClawRadar
openclaw cron list
# Run a manual scan to verify configuration
openclaw cron run --name "ClawRadar — Trend Monitor"
# Perform a dry-run with debug logging for testing
python3 clawradar/radar.py --dry-run --debug --threshold 20
ClawRadar Data Schema & Taxonomy
ClawRadar manages data through localized JSON files and logs to ensure idempotency and transparency.
| File/Component | Purpose |
|---|---|
radar.py |
Core configuration including keywords, searches, and thresholds. |
seen.json |
Tracker for already processed post IDs to prevent duplicate alerts. |
radar.log |
Historical record of scans, scores, and sent alerts. |
Composite Score |
Weighted average of Velocity (40%), Freshness (30%), and Relevance (30%). |
ClawRadar Advanced Features
- Customizable engagement velocity formulas to prioritize specific interaction types (e.g., weighing Retweets higher than Likes).
- Support for niche-specific keyword triggers that customize the auto-generated Opportunity Notes.
- Graceful degradation architecture ensuring the monitor continues to function even if one source platform is temporarily unavailable.
- Dry-run mode for power users to fine-tune sensitivity thresholds without triggering live notifications.
SKILL.md
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